instead of \n",
+ " 'selector': 'td:hover',\n",
+ " 'props': [('background-color', '#ffffb3')]\n",
+ "}\n",
+ "index_names = {\n",
+ " 'selector': '.index_name',\n",
+ " 'props': 'font-style: italic; color: darkgrey; font-weight:normal;'\n",
+ "}\n",
+ "headers = {\n",
+ " 'selector': 'th:not(.index_name)',\n",
+ " 'props': 'background-color: #000066; color: white;'\n",
+ "}\n",
+ "s.set_table_styles([cell_hover, index_names, headers])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.065135Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.064723Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.068518Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.068114Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s.set_uuid('after_tab_styles1')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Next we just add a couple more styling artifacts targeting specific parts of the table. Be careful here, since we are *chaining methods* we need to explicitly instruct the method **not to** ``overwrite`` the existing styles."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.070209Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.069955Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.074102Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.073728Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s.set_table_styles([\n",
+ " {'selector': 'th.col_heading', 'props': 'text-align: center;'},\n",
+ " {'selector': 'th.col_heading.level0', 'props': 'font-size: 1.5em;'},\n",
+ " {'selector': 'td', 'props': 'text-align: center; font-weight: bold;'},\n",
+ "], overwrite=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.075529Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.075312Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.079245Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.078809Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s.set_uuid('after_tab_styles2')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "As a convenience method (*since version 1.2.0*) we can also pass a **dict** to [.set_table_styles()][table] which contains row or column keys. Behind the scenes Styler just indexes the keys and adds relevant `.col` or `.row` classes as necessary to the given CSS selectors.\n",
+ "\n",
+ "[table]: ../reference/api/pandas.io.formats.style.Styler.set_table_styles.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.080718Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.080499Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.085571Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.085160Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s.set_table_styles({\n",
+ " ('Regression', 'Tumour'): [{'selector': 'th', 'props': 'border-left: 1px solid white'},\n",
+ " {'selector': 'td', 'props': 'border-left: 1px solid #000066'}]\n",
+ "}, overwrite=False, axis=0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.086993Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.086781Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.090764Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.090375Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s.set_uuid('xyz01')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Setting Classes and Linking to External CSS\n",
+ "\n",
+ "If you have designed a website then it is likely you will already have an external CSS file that controls the styling of table and cell objects within it. You may want to use these native files rather than duplicate all the CSS in python (and duplicate any maintenance work).\n",
+ "\n",
+ "### Table Attributes\n",
+ "\n",
+ "It is very easy to add a `class` to the main `` using [.set_table_attributes()][tableatt]. This method can also attach inline styles - read more in [CSS Hierarchies](#CSS-Hierarchies).\n",
+ "\n",
+ "[tableatt]: ../reference/api/pandas.io.formats.style.Styler.set_table_attributes.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.092122Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.091924Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.095765Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.095354Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n"
+ ]
+ }
+ ],
+ "source": [
+ "out = s.set_table_attributes('class=\"my-table-cls\"').to_html()\n",
+ "print(out[out.find('` elements of the ``. Rather than use external CSS we will create our classes internally and add them to table style. We will save adding the borders until the [section on tooltips](#Tooltips-and-Captions).\n",
+ "\n",
+ "[tdclass]: ../reference/api/pandas.io.formats.style.Styler.set_td_classes.rst\n",
+ "[styler]: ../reference/api/pandas.io.formats.style.Styler.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.097239Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.097016Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.102353Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.101954Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s.set_table_styles([ # create internal CSS classes\n",
+ " {'selector': '.true', 'props': 'background-color: #e6ffe6;'},\n",
+ " {'selector': '.false', 'props': 'background-color: #ffe6e6;'},\n",
+ "], overwrite=False)\n",
+ "cell_color = pd.DataFrame([['true ', 'false ', 'true ', 'false '], \n",
+ " ['false ', 'true ', 'false ', 'true ']], \n",
+ " index=df.index, \n",
+ " columns=df.columns[:4])\n",
+ "s.set_td_classes(cell_color)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.103816Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.103589Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.107513Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.107069Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s.set_uuid('after_classes')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Styler Functions\n",
+ "\n",
+ "### Acting on Data\n",
+ "\n",
+ "We use the following methods to pass your style functions. Both of those methods take a function (and some other keyword arguments) and apply it to the DataFrame in a certain way, rendering CSS styles.\n",
+ "\n",
+ "- [.map()][map] (elementwise): accepts a function that takes a single value and returns a string with the CSS attribute-value pair.\n",
+ "- [.apply()][apply] (column-/row-/table-wise): accepts a function that takes a Series or DataFrame and returns a Series, DataFrame, or numpy array with an identical shape where each element is a string with a CSS attribute-value pair. This method passes each column or row of your DataFrame one-at-a-time or the entire table at once, depending on the `axis` keyword argument. For columnwise use `axis=0`, rowwise use `axis=1`, and for the entire table at once use `axis=None`.\n",
+ "\n",
+ "This method is powerful for applying multiple, complex logic to data cells. We create a new DataFrame to demonstrate this.\n",
+ "\n",
+ "[apply]: ../reference/api/pandas.io.formats.style.Styler.apply.rst\n",
+ "[map]: ../reference/api/pandas.io.formats.style.Styler.map.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.108950Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.108731Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.112871Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.112462Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1.764052 | \n",
+ " 0.400157 | \n",
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+ " \n",
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+ " 0.121675 | \n",
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+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
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+ " 2.269755 | \n",
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+ " 0.045759 | \n",
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+ " 1.532779 | \n",
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+ " \n",
+ " | 8 | \n",
+ " -0.887786 | \n",
+ " -1.980796 | \n",
+ " -0.347912 | \n",
+ " 0.156349 | \n",
+ " \n",
+ " \n",
+ " | 9 | \n",
+ " 1.230291 | \n",
+ " 1.202380 | \n",
+ " -0.387327 | \n",
+ " -0.302303 | \n",
+ " \n",
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+ ],
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+ ""
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+ "metadata": {},
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+ }
+ ],
+ "source": [
+ "np.random.seed(0)\n",
+ "df2 = pd.DataFrame(np.random.randn(10,4), columns=['A','B','C','D'])\n",
+ "df2.style"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "For example we can build a function that colors text if it is negative, and chain this with a function that partially fades cells of negligible value. Since this looks at each element in turn we use ``map``."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.114261Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.114039Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.119051Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.118653Z"
+ }
+ },
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+ {
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+ " | 0 | \n",
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+ ],
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+ ""
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "def style_negative(v, props=''):\n",
+ " return props if v < 0 else None\n",
+ "s2 = df2.style.map(style_negative, props='color:red;')\\\n",
+ " .map(lambda v: 'opacity: 20%;' if (v < 0.3) and (v > -0.3) else None)\n",
+ "s2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
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+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s2.set_uuid('after_applymap')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can also build a function that highlights the maximum value across rows, cols, and the DataFrame all at once. In this case we use ``apply``. Below we highlight the maximum in a column."
+ ]
+ },
+ {
+ "cell_type": "code",
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+ "def highlight_max(s, props=''):\n",
+ " return np.where(s == np.nanmax(s.values), props, '')\n",
+ "s2.apply(highlight_max, props='color:white;background-color:darkblue', axis=0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {
+ "execution": {
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+ ""
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+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s2.set_uuid('after_apply')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We can use the same function across the different axes, highlighting here the DataFrame maximum in purple, and row maximums in pink."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.139796Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.139567Z",
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+ "shell.execute_reply": "2023-11-12T08:41:03.146062Z"
+ }
+ },
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+ "s2.apply(highlight_max, props='color:white;background-color:pink;', axis=1)\\\n",
+ " .apply(highlight_max, props='color:white;background-color:purple', axis=None)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.147858Z",
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+ "shell.execute_reply": "2023-11-12T08:41:03.153916Z"
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+ "nbsphinx": "hidden"
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+ "text/html": [
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+ " -0.302303 | \n",
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+ ],
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+ ""
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s2.set_uuid('after_apply_again')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This last example shows how some styles have been overwritten by others. In general the most recent style applied is active but you can read more in the [section on CSS hierarchies](#CSS-Hierarchies). You can also apply these styles to more granular parts of the DataFrame - read more in section on [subset slicing](#Finer-Control-with-Slicing).\n",
+ "\n",
+ "It is possible to replicate some of this functionality using just classes but it can be more cumbersome. See [item 3) of Optimization](#Optimization)\n",
+ "\n",
+ "\n",
+ "\n",
+ "*Debugging Tip*: If you're having trouble writing your style function, try just passing it into ``DataFrame.apply``. Internally, ``Styler.apply`` uses ``DataFrame.apply`` so the result should be the same, and with ``DataFrame.apply`` you will be able to inspect the CSS string output of your intended function in each cell.\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Acting on the Index and Column Headers\n",
+ "\n",
+ "Similar application is achieved for headers by using:\n",
+ " \n",
+ "- [.map_index()][mapindex] (elementwise): accepts a function that takes a single value and returns a string with the CSS attribute-value pair.\n",
+ "- [.apply_index()][applyindex] (level-wise): accepts a function that takes a Series and returns a Series, or numpy array with an identical shape where each element is a string with a CSS attribute-value pair. This method passes each level of your Index one-at-a-time. To style the index use `axis=0` and to style the column headers use `axis=1`.\n",
+ "\n",
+ "You can select a `level` of a `MultiIndex` but currently no similar `subset` application is available for these methods.\n",
+ "\n",
+ "[applyindex]: ../reference/api/pandas.io.formats.style.Styler.apply_index.rst\n",
+ "[mapindex]: ../reference/api/pandas.io.formats.style.Styler.map_index.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.156009Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.155770Z",
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+ }
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+ " \n",
+ " \n",
+ " | 5 | \n",
+ " -2.552990 | \n",
+ " 0.653619 | \n",
+ " 0.864436 | \n",
+ " -0.742165 | \n",
+ " \n",
+ " \n",
+ " | 6 | \n",
+ " 2.269755 | \n",
+ " -1.454366 | \n",
+ " 0.045759 | \n",
+ " -0.187184 | \n",
+ " \n",
+ " \n",
+ " | 7 | \n",
+ " 1.532779 | \n",
+ " 1.469359 | \n",
+ " 0.154947 | \n",
+ " 0.378163 | \n",
+ " \n",
+ " \n",
+ " | 8 | \n",
+ " -0.887786 | \n",
+ " -1.980796 | \n",
+ " -0.347912 | \n",
+ " 0.156349 | \n",
+ " \n",
+ " \n",
+ " | 9 | \n",
+ " 1.230291 | \n",
+ " 1.202380 | \n",
+ " -0.387327 | \n",
+ " -0.302303 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s2.map_index(lambda v: \"color:pink;\" if v>4 else \"color:darkblue;\", axis=0)\n",
+ "s2.apply_index(lambda s: np.where(s.isin([\"A\", \"B\"]), \"color:pink;\", \"color:darkblue;\"), axis=1)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Tooltips and Captions\n",
+ "\n",
+ "Table captions can be added with the [.set_caption()][caption] method. You can use table styles to control the CSS relevant to the caption.\n",
+ "\n",
+ "[caption]: ../reference/api/pandas.io.formats.style.Styler.set_caption.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.165256Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.165049Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.169258Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.168821Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " Confusion matrix for multiple cancer prediction models.\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s.set_caption(\"Confusion matrix for multiple cancer prediction models.\")\\\n",
+ " .set_table_styles([{\n",
+ " 'selector': 'caption',\n",
+ " 'props': 'caption-side: bottom; font-size:1.25em;'\n",
+ " }], overwrite=False)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.170684Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.170465Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.174434Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.174033Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " Confusion matrix for multiple cancer prediction models.\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s.set_uuid('after_caption')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Adding tooltips (*since version 1.3.0*) can be done using the [.set_tooltips()][tooltips] method in the same way you can add CSS classes to data cells by providing a string based DataFrame with intersecting indices and columns. You don't have to specify a `css_class` name or any css `props` for the tooltips, since there are standard defaults, but the option is there if you want more visual control. \n",
+ "\n",
+ "[tooltips]: ../reference/api/pandas.io.formats.style.Styler.set_tooltips.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.175899Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.175679Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.181354Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.180922Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " Confusion matrix for multiple cancer prediction models.\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "tt = pd.DataFrame([['This model has a very strong true positive rate', \n",
+ " \"This model's total number of false negatives is too high\"]], \n",
+ " index=['Tumour (Positive)'], columns=df.columns[[0,3]])\n",
+ "s.set_tooltips(tt, props='visibility: hidden; position: absolute; z-index: 1; border: 1px solid #000066;'\n",
+ " 'background-color: white; color: #000066; font-size: 0.8em;' \n",
+ " 'transform: translate(0px, -24px); padding: 0.6em; border-radius: 0.5em;')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.182757Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.182554Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.187614Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.187177Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s.set_uuid('after_tooltips')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The only thing left to do for our table is to add the highlighting borders to draw the audience attention to the tooltips. We will create internal CSS classes as before using table styles. **Setting classes always overwrites** so we need to make sure we add the previous classes."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.189046Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.188842Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.195674Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.195255Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s.set_table_styles([ # create internal CSS classes\n",
+ " {'selector': '.border-red', 'props': 'border: 2px dashed red;'},\n",
+ " {'selector': '.border-green', 'props': 'border: 2px dashed green;'},\n",
+ "], overwrite=False)\n",
+ "cell_border = pd.DataFrame([['border-green ', ' ', ' ', 'border-red '], \n",
+ " [' ', ' ', ' ', ' ']], \n",
+ " index=df.index, \n",
+ " columns=df.columns[:4])\n",
+ "s.set_td_classes(cell_color + cell_border)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.197091Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.196855Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.201750Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.201330Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " Confusion matrix for multiple cancer prediction models.\n",
+ " \n",
+ " \n",
+ " | Model: | \n",
+ " Decision Tree | \n",
+ " Regression | \n",
+ " \n",
+ " \n",
+ " | Predicted: | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " Tumour | \n",
+ " Non-Tumour | \n",
+ " \n",
+ " \n",
+ " | Actual Label: | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | Tumour (Positive) | \n",
+ " 38 | \n",
+ " 2 | \n",
+ " 18 | \n",
+ " 22 | \n",
+ " \n",
+ " \n",
+ " | Non-Tumour (Negative) | \n",
+ " 19 | \n",
+ " 439 | \n",
+ " 6 | \n",
+ " 452 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 35,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Hidden cell to avoid CSS clashes and latter code upcoding previous formatting \n",
+ "s.set_uuid('after_borders')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Finer Control with Slicing\n",
+ "\n",
+ "The examples we have shown so far for the `Styler.apply` and `Styler.map` functions have not demonstrated the use of the ``subset`` argument. This is a useful argument which permits a lot of flexibility: it allows you to apply styles to specific rows or columns, without having to code that logic into your `style` function.\n",
+ "\n",
+ "The value passed to `subset` behaves similar to slicing a DataFrame;\n",
+ "\n",
+ "- A scalar is treated as a column label\n",
+ "- A list (or Series or NumPy array) is treated as multiple column labels\n",
+ "- A tuple is treated as `(row_indexer, column_indexer)`\n",
+ "\n",
+ "Consider using `pd.IndexSlice` to construct the tuple for the last one. We will create a MultiIndexed DataFrame to demonstrate the functionality."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.203187Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.202930Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.208828Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.208423Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ " | \n",
+ " c1 | \n",
+ " c2 | \n",
+ " c3 | \n",
+ " c4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | A | \n",
+ " r1 | \n",
+ " -1.048553 | \n",
+ " -1.420018 | \n",
+ " -1.706270 | \n",
+ " 1.950775 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.509652 | \n",
+ " -0.438074 | \n",
+ " -1.252795 | \n",
+ " 0.777490 | \n",
+ " \n",
+ " \n",
+ " | B | \n",
+ " r1 | \n",
+ " -1.613898 | \n",
+ " -0.212740 | \n",
+ " -0.895467 | \n",
+ " 0.386902 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.510805 | \n",
+ " -1.180632 | \n",
+ " -0.028182 | \n",
+ " 0.428332 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | | \n",
+ " | \n",
+ " c1 | \n",
+ " c2 | \n",
+ " c3 | \n",
+ " c4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | A | \n",
+ " r1 | \n",
+ " -1.048553 | \n",
+ " -1.420018 | \n",
+ " -1.706270 | \n",
+ " 1.950775 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.509652 | \n",
+ " -0.438074 | \n",
+ " -1.252795 | \n",
+ " 0.777490 | \n",
+ " \n",
+ " \n",
+ " | B | \n",
+ " r1 | \n",
+ " -1.613898 | \n",
+ " -0.212740 | \n",
+ " -0.895467 | \n",
+ " 0.386902 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.510805 | \n",
+ " -1.180632 | \n",
+ " -0.028182 | \n",
+ " 0.428332 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 37,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "slice_ = ['c3', 'c4']\n",
+ "df3.style.apply(highlight_max, props='color:red;', axis=0, subset=slice_)\\\n",
+ " .set_properties(**{'background-color': '#ffffb3'}, subset=slice_)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "If combined with the ``IndexSlice`` as suggested then it can index across both dimensions with greater flexibility."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.217344Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.217144Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.223817Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.223397Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " | \n",
+ " c1 | \n",
+ " c2 | \n",
+ " c3 | \n",
+ " c4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | A | \n",
+ " r1 | \n",
+ " -1.048553 | \n",
+ " -1.420018 | \n",
+ " -1.706270 | \n",
+ " 1.950775 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.509652 | \n",
+ " -0.438074 | \n",
+ " -1.252795 | \n",
+ " 0.777490 | \n",
+ " \n",
+ " \n",
+ " | B | \n",
+ " r1 | \n",
+ " -1.613898 | \n",
+ " -0.212740 | \n",
+ " -0.895467 | \n",
+ " 0.386902 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.510805 | \n",
+ " -1.180632 | \n",
+ " -0.028182 | \n",
+ " 0.428332 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 38,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "idx = pd.IndexSlice\n",
+ "slice_ = idx[idx[:,'r1'], idx['c2':'c4']]\n",
+ "df3.style.apply(highlight_max, props='color:red;', axis=0, subset=slice_)\\\n",
+ " .set_properties(**{'background-color': '#ffffb3'}, subset=slice_)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This also provides the flexibility to sub select rows when used with the `axis=1`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.225193Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.224985Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.230765Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.230379Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " | \n",
+ " c1 | \n",
+ " c2 | \n",
+ " c3 | \n",
+ " c4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | A | \n",
+ " r1 | \n",
+ " -1.048553 | \n",
+ " -1.420018 | \n",
+ " -1.706270 | \n",
+ " 1.950775 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.509652 | \n",
+ " -0.438074 | \n",
+ " -1.252795 | \n",
+ " 0.777490 | \n",
+ " \n",
+ " \n",
+ " | B | \n",
+ " r1 | \n",
+ " -1.613898 | \n",
+ " -0.212740 | \n",
+ " -0.895467 | \n",
+ " 0.386902 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.510805 | \n",
+ " -1.180632 | \n",
+ " -0.028182 | \n",
+ " 0.428332 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 39,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "slice_ = idx[idx[:,'r2'], :]\n",
+ "df3.style.apply(highlight_max, props='color:red;', axis=1, subset=slice_)\\\n",
+ " .set_properties(**{'background-color': '#ffffb3'}, subset=slice_)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "There is also scope to provide **conditional filtering**. \n",
+ "\n",
+ "Suppose we want to highlight the maximum across columns 2 and 4 only in the case that the sum of columns 1 and 3 is less than -2.0 *(essentially excluding rows* `(:,'r2')`*)*."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.232421Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.232186Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.238809Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.238414Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " | \n",
+ " c1 | \n",
+ " c2 | \n",
+ " c3 | \n",
+ " c4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | A | \n",
+ " r1 | \n",
+ " -1.048553 | \n",
+ " -1.420018 | \n",
+ " -1.706270 | \n",
+ " 1.950775 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.509652 | \n",
+ " -0.438074 | \n",
+ " -1.252795 | \n",
+ " 0.777490 | \n",
+ " \n",
+ " \n",
+ " | B | \n",
+ " r1 | \n",
+ " -1.613898 | \n",
+ " -0.212740 | \n",
+ " -0.895467 | \n",
+ " 0.386902 | \n",
+ " \n",
+ " \n",
+ " | r2 | \n",
+ " -0.510805 | \n",
+ " -1.180632 | \n",
+ " -0.028182 | \n",
+ " 0.428332 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 40,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "slice_ = idx[idx[(df3['c1'] + df3['c3']) < -2.0], ['c2', 'c4']]\n",
+ "df3.style.apply(highlight_max, props='color:red;', axis=1, subset=slice_)\\\n",
+ " .set_properties(**{'background-color': '#ffffb3'}, subset=slice_)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Only label-based slicing is supported right now, not positional, and not callables.\n",
+ "\n",
+ "If your style function uses a `subset` or `axis` keyword argument, consider wrapping your function in a `functools.partial`, partialing out that keyword.\n",
+ "\n",
+ "```python\n",
+ "my_func2 = functools.partial(my_func, subset=42)\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Optimization\n",
+ "\n",
+ "Generally, for smaller tables and most cases, the rendered HTML does not need to be optimized, and we don't really recommend it. There are two cases where it is worth considering:\n",
+ "\n",
+ " - If you are rendering and styling a very large HTML table, certain browsers have performance issues.\n",
+ " - If you are using ``Styler`` to dynamically create part of online user interfaces and want to improve network performance.\n",
+ " \n",
+ "Here we recommend the following steps to implement:"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 1. Remove UUID and cell_ids\n",
+ "\n",
+ "Ignore the `uuid` and set `cell_ids` to `False`. This will prevent unnecessary HTML."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n",
+ "This is sub-optimal:\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.240339Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.240117Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.242591Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.242187Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "df4 = pd.DataFrame([[1,2],[3,4]])\n",
+ "s4 = df4.style"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n",
+ "This is better:\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.244019Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.243802Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.246131Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.245697Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "from pandas.io.formats.style import Styler\n",
+ "s4 = Styler(df4, uuid_len=0, cell_ids=False)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 2. Use table styles\n",
+ "\n",
+ "Use table styles where possible (e.g. for all cells or rows or columns at a time) since the CSS is nearly always more efficient than other formats."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n",
+ "This is sub-optimal:\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.247537Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.247317Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.251612Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.251167Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 3 | \n",
+ " 4 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 43,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "props = 'font-family: \"Times New Roman\", Times, serif; color: #e83e8c; font-size:1.3em;'\n",
+ "df4.style.map(lambda x: props, subset=[1])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n",
+ "This is better:\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.253046Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.252882Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.256239Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.255845Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 3 | \n",
+ " 4 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.set_table_styles([{'selector': 'td.col1', 'props': props}])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 3. Set classes instead of using Styler functions\n",
+ "\n",
+ "For large DataFrames where the same style is applied to many cells it can be more efficient to declare the styles as classes and then apply those classes to data cells, rather than directly applying styles to cells. It is, however, probably still easier to use the Styler function api when you are not concerned about optimization."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n",
+ "This is sub-optimal:\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.257618Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.257413Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.264131Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.263702Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1.764052 | \n",
+ " 0.400157 | \n",
+ " 0.978738 | \n",
+ " 2.240893 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 1.867558 | \n",
+ " -0.977278 | \n",
+ " 0.950088 | \n",
+ " -0.151357 | \n",
+ " \n",
+ " \n",
+ " | 2 | \n",
+ " -0.103219 | \n",
+ " 0.410599 | \n",
+ " 0.144044 | \n",
+ " 1.454274 | \n",
+ " \n",
+ " \n",
+ " | 3 | \n",
+ " 0.761038 | \n",
+ " 0.121675 | \n",
+ " 0.443863 | \n",
+ " 0.333674 | \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " -0.854096 | \n",
+ " \n",
+ " \n",
+ " | 5 | \n",
+ " -2.552990 | \n",
+ " 0.653619 | \n",
+ " 0.864436 | \n",
+ " -0.742165 | \n",
+ " \n",
+ " \n",
+ " | 6 | \n",
+ " 2.269755 | \n",
+ " -1.454366 | \n",
+ " 0.045759 | \n",
+ " -0.187184 | \n",
+ " \n",
+ " \n",
+ " | 7 | \n",
+ " 1.532779 | \n",
+ " 1.469359 | \n",
+ " 0.154947 | \n",
+ " 0.378163 | \n",
+ " \n",
+ " \n",
+ " | 8 | \n",
+ " -0.887786 | \n",
+ " -1.980796 | \n",
+ " -0.347912 | \n",
+ " 0.156349 | \n",
+ " \n",
+ " \n",
+ " | 9 | \n",
+ " 1.230291 | \n",
+ " 1.202380 | \n",
+ " -0.387327 | \n",
+ " -0.302303 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 45,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.style.apply(highlight_max, props='color:white;background-color:darkblue;', axis=0)\\\n",
+ " .apply(highlight_max, props='color:white;background-color:pink;', axis=1)\\\n",
+ " .apply(highlight_max, props='color:white;background-color:purple', axis=None)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "\n",
+ "\n",
+ "This is better:\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.265577Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.265355Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.271921Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.271511Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1.764052 | \n",
+ " 0.400157 | \n",
+ " 0.978738 | \n",
+ " 2.240893 | \n",
+ " \n",
+ " \n",
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+ " 1.867558 | \n",
+ " -0.977278 | \n",
+ " 0.950088 | \n",
+ " -0.151357 | \n",
+ " \n",
+ " \n",
+ " | 2 | \n",
+ " -0.103219 | \n",
+ " 0.410599 | \n",
+ " 0.144044 | \n",
+ " 1.454274 | \n",
+ " \n",
+ " \n",
+ " | 3 | \n",
+ " 0.761038 | \n",
+ " 0.121675 | \n",
+ " 0.443863 | \n",
+ " 0.333674 | \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " -0.854096 | \n",
+ " \n",
+ " \n",
+ " | 5 | \n",
+ " -2.552990 | \n",
+ " 0.653619 | \n",
+ " 0.864436 | \n",
+ " -0.742165 | \n",
+ " \n",
+ " \n",
+ " | 6 | \n",
+ " 2.269755 | \n",
+ " -1.454366 | \n",
+ " 0.045759 | \n",
+ " -0.187184 | \n",
+ " \n",
+ " \n",
+ " | 7 | \n",
+ " 1.532779 | \n",
+ " 1.469359 | \n",
+ " 0.154947 | \n",
+ " 0.378163 | \n",
+ " \n",
+ " \n",
+ " | 8 | \n",
+ " -0.887786 | \n",
+ " -1.980796 | \n",
+ " -0.347912 | \n",
+ " 0.156349 | \n",
+ " \n",
+ " \n",
+ " | 9 | \n",
+ " 1.230291 | \n",
+ " 1.202380 | \n",
+ " -0.387327 | \n",
+ " -0.302303 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 46,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "build = lambda x: pd.DataFrame(x, index=df2.index, columns=df2.columns)\n",
+ "cls1 = build(df2.apply(highlight_max, props='cls-1 ', axis=0))\n",
+ "cls2 = build(df2.apply(highlight_max, props='cls-2 ', axis=1, result_type='expand').values)\n",
+ "cls3 = build(highlight_max(df2, props='cls-3 '))\n",
+ "df2.style.set_table_styles([\n",
+ " {'selector': '.cls-1', 'props': 'color:white;background-color:darkblue;'},\n",
+ " {'selector': '.cls-2', 'props': 'color:white;background-color:pink;'},\n",
+ " {'selector': '.cls-3', 'props': 'color:white;background-color:purple;'}\n",
+ "]).set_td_classes(cls1 + cls2 + cls3)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 4. Don't use tooltips\n",
+ "\n",
+ "Tooltips require `cell_ids` to work and they generate extra HTML elements for *every* data cell."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 5. If every byte counts use string replacement\n",
+ "\n",
+ "You can remove unnecessary HTML, or shorten the default class names by replacing the default css dict. You can read a little more about CSS [below](#More-About-CSS-and-HTML)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.273300Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.273079Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.276671Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.276240Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 3 | \n",
+ " 4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "my_css = {\n",
+ " \"row_heading\": \"\",\n",
+ " \"col_heading\": \"\",\n",
+ " \"index_name\": \"\",\n",
+ " \"col\": \"c\",\n",
+ " \"row\": \"r\",\n",
+ " \"col_trim\": \"\",\n",
+ " \"row_trim\": \"\",\n",
+ " \"level\": \"l\",\n",
+ " \"data\": \"\",\n",
+ " \"blank\": \"\",\n",
+ "}\n",
+ "html = Styler(df4, uuid_len=0, cell_ids=False)\n",
+ "html.set_table_styles([{'selector': 'td', 'props': props},\n",
+ " {'selector': '.c1', 'props': 'color:green;'},\n",
+ " {'selector': '.l0', 'props': 'color:blue;'}],\n",
+ " css_class_names=my_css)\n",
+ "print(html.to_html())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.278053Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.277833Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.280998Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.280617Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 3 | \n",
+ " 4 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 48,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "html"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Builtin Styles"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Some styling functions are common enough that we've \"built them in\" to the `Styler`, so you don't have to write them and apply them yourself. The current list of such functions is:\n",
+ "\n",
+ " - [.highlight_null][nullfunc]: for use with identifying missing data. \n",
+ " - [.highlight_min][minfunc] and [.highlight_max][maxfunc]: for use with identifying extremeties in data.\n",
+ " - [.highlight_between][betweenfunc] and [.highlight_quantile][quantilefunc]: for use with identifying classes within data.\n",
+ " - [.background_gradient][bgfunc]: a flexible method for highlighting cells based on their, or other, values on a numeric scale.\n",
+ " - [.text_gradient][textfunc]: similar method for highlighting text based on their, or other, values on a numeric scale.\n",
+ " - [.bar][barfunc]: to display mini-charts within cell backgrounds.\n",
+ " \n",
+ "The individual documentation on each function often gives more examples of their arguments.\n",
+ "\n",
+ "[nullfunc]: ../reference/api/pandas.io.formats.style.Styler.highlight_null.rst\n",
+ "[minfunc]: ../reference/api/pandas.io.formats.style.Styler.highlight_min.rst\n",
+ "[maxfunc]: ../reference/api/pandas.io.formats.style.Styler.highlight_max.rst\n",
+ "[betweenfunc]: ../reference/api/pandas.io.formats.style.Styler.highlight_between.rst\n",
+ "[quantilefunc]: ../reference/api/pandas.io.formats.style.Styler.highlight_quantile.rst\n",
+ "[bgfunc]: ../reference/api/pandas.io.formats.style.Styler.background_gradient.rst\n",
+ "[textfunc]: ../reference/api/pandas.io.formats.style.Styler.text_gradient.rst\n",
+ "[barfunc]: ../reference/api/pandas.io.formats.style.Styler.bar.rst"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Highlight Null"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.282408Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.282186Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.286511Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.286041Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1.764052 | \n",
+ " 0.400157 | \n",
+ " nan | \n",
+ " 2.240893 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 1.867558 | \n",
+ " -0.977278 | \n",
+ " 0.950088 | \n",
+ " -0.151357 | \n",
+ " \n",
+ " \n",
+ " | 2 | \n",
+ " -0.103219 | \n",
+ " 0.410599 | \n",
+ " 0.144044 | \n",
+ " 1.454274 | \n",
+ " \n",
+ " \n",
+ " | 3 | \n",
+ " 0.761038 | \n",
+ " 0.121675 | \n",
+ " 0.443863 | \n",
+ " 0.333674 | \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " nan | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 49,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.iloc[0,2] = np.nan\n",
+ "df2.iloc[4,3] = np.nan\n",
+ "df2.loc[:4].style.highlight_null(color='yellow')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Highlight Min or Max"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.287972Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.287760Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.293532Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.293164Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
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+ " \n",
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+ " 0.121675 | \n",
+ " 0.443863 | \n",
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+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " nan | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 50,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.loc[:4].style.highlight_max(axis=1, props='color:white; font-weight:bold; background-color:darkblue;')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Highlight Between\n",
+ "This method accepts ranges as float, or NumPy arrays or Series provided the indexes match."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.295114Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.294857Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.302243Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.301825Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
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+ " \n",
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+ " -0.977278 | \n",
+ " 0.950088 | \n",
+ " -0.151357 | \n",
+ " \n",
+ " \n",
+ " | 2 | \n",
+ " -0.103219 | \n",
+ " 0.410599 | \n",
+ " 0.144044 | \n",
+ " 1.454274 | \n",
+ " \n",
+ " \n",
+ " | 3 | \n",
+ " 0.761038 | \n",
+ " 0.121675 | \n",
+ " 0.443863 | \n",
+ " 0.333674 | \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " nan | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 51,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "left = pd.Series([1.0, 0.0, 1.0], index=[\"A\", \"B\", \"D\"])\n",
+ "df2.loc[:4].style.highlight_between(left=left, right=1.5, axis=1, props='color:white; background-color:purple;')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Highlight Quantile\n",
+ "Useful for detecting the highest or lowest percentile values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.303596Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.303387Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.308974Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.308591Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1.764052 | \n",
+ " 0.400157 | \n",
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+ " 2.240893 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 1.867558 | \n",
+ " -0.977278 | \n",
+ " 0.950088 | \n",
+ " -0.151357 | \n",
+ " \n",
+ " \n",
+ " | 2 | \n",
+ " -0.103219 | \n",
+ " 0.410599 | \n",
+ " 0.144044 | \n",
+ " 1.454274 | \n",
+ " \n",
+ " \n",
+ " | 3 | \n",
+ " 0.761038 | \n",
+ " 0.121675 | \n",
+ " 0.443863 | \n",
+ " 0.333674 | \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " nan | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.loc[:4].style.highlight_quantile(q_left=0.85, axis=None, color='yellow')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Background Gradient and Text Gradient"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can create \"heatmaps\" with the `background_gradient` and `text_gradient` methods. These require matplotlib, and we'll use [Seaborn](http://seaborn.pydata.org/) to get a nice colormap."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.310336Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.310125Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.399092Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.398589Z"
+ }
+ },
+ "outputs": [
+ {
+ "ename": "ModuleNotFoundError",
+ "evalue": "No module named 'seaborn'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[53], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mseaborn\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01msns\u001b[39;00m\n\u001b[1;32m 2\u001b[0m cm \u001b[38;5;241m=\u001b[39m sns\u001b[38;5;241m.\u001b[39mlight_palette(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgreen\u001b[39m\u001b[38;5;124m\"\u001b[39m, as_cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 4\u001b[0m df2\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mbackground_gradient(cmap\u001b[38;5;241m=\u001b[39mcm)\n",
+ "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'seaborn'"
+ ]
+ }
+ ],
+ "source": [
+ "import seaborn as sns\n",
+ "cm = sns.light_palette(\"green\", as_cmap=True)\n",
+ "\n",
+ "df2.style.background_gradient(cmap=cm)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.400774Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.400539Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.408793Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.408400Z"
+ }
+ },
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'cm' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[54], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m df2\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mtext_gradient(cmap\u001b[38;5;241m=\u001b[39m\u001b[43mcm\u001b[49m)\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'cm' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "df2.style.text_gradient(cmap=cm)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[.background_gradient][bgfunc] and [.text_gradient][textfunc] have a number of keyword arguments to customise the gradients and colors. See the documentation.\n",
+ "\n",
+ "[bgfunc]: ../reference/api/pandas.io.formats.style.Styler.background_gradient.rst\n",
+ "[textfunc]: ../reference/api/pandas.io.formats.style.Styler.text_gradient.rst"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Set properties\n",
+ "\n",
+ "Use `Styler.set_properties` when the style doesn't actually depend on the values. This is just a simple wrapper for `.map` where the function returns the same properties for all cells."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.410338Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.410119Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.414819Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.414423Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 1.764052 | \n",
+ " 0.400157 | \n",
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+ " 2.240893 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " 1.867558 | \n",
+ " -0.977278 | \n",
+ " 0.950088 | \n",
+ " -0.151357 | \n",
+ " \n",
+ " \n",
+ " | 2 | \n",
+ " -0.103219 | \n",
+ " 0.410599 | \n",
+ " 0.144044 | \n",
+ " 1.454274 | \n",
+ " \n",
+ " \n",
+ " | 3 | \n",
+ " 0.761038 | \n",
+ " 0.121675 | \n",
+ " 0.443863 | \n",
+ " 0.333674 | \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " nan | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 55,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.loc[:4].style.set_properties(**{'background-color': 'black',\n",
+ " 'color': 'lawngreen',\n",
+ " 'border-color': 'white'})"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Bar charts"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "You can include \"bar charts\" in your DataFrame."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.416433Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.416218Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.421189Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.420653Z"
+ }
+ },
+ "outputs": [
+ {
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+ " \n",
+ " \n",
+ " | 7 | \n",
+ " 1.532779 | \n",
+ " 1.469359 | \n",
+ " 0.154947 | \n",
+ " 0.378163 | \n",
+ " \n",
+ " \n",
+ " | 8 | \n",
+ " -0.887786 | \n",
+ " -1.980796 | \n",
+ " -0.347912 | \n",
+ " 0.156349 | \n",
+ " \n",
+ " \n",
+ " | 9 | \n",
+ " 1.230291 | \n",
+ " 1.202380 | \n",
+ " -0.387327 | \n",
+ " -0.302303 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.style.bar(subset=['A', 'B'], color='#d65f5f')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Additional keyword arguments give more control on centering and positioning, and you can pass a list of `[color_negative, color_positive]` to highlight lower and higher values or a matplotlib colormap.\n",
+ "\n",
+ "To showcase an example here's how you can change the above with the new `align` option, combined with setting `vmin` and `vmax` limits, the `width` of the figure, and underlying css `props` of cells, leaving space to display the text and the bars. We also use `text_gradient` to color the text the same as the bars using a matplotlib colormap (although in this case the visualization is probably better without this additional effect)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.422620Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.422405Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.434812Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.434401Z"
+ }
+ },
+ "outputs": [
+ {
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+ " \n",
+ " | 9 | \n",
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+ " \n",
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+ ""
+ ]
+ },
+ "execution_count": 57,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.style.format('{:.3f}', na_rep=\"\")\\\n",
+ " .bar(align=0, vmin=-2.5, vmax=2.5, cmap=\"bwr\", height=50,\n",
+ " width=60, props=\"width: 120px; border-right: 1px solid black;\")\\\n",
+ " .text_gradient(cmap=\"bwr\", vmin=-2.5, vmax=2.5)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "The following example aims to give a highlight of the behavior of the new align options:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.436266Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.436055Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.467115Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.466663Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [],
+ "source": [
+ "# Hide the construction of the display chart from the user\n",
+ "import pandas as pd\n",
+ "from IPython.display import HTML\n",
+ "\n",
+ "# Test series\n",
+ "test1 = pd.Series([-100,-60,-30,-20], name='All Negative')\n",
+ "test2 = pd.Series([-10,-5,0,90], name='Both Pos and Neg')\n",
+ "test3 = pd.Series([10,20,50,100], name='All Positive')\n",
+ "test4 = pd.Series([100, 103, 101, 102], name='Large Positive')\n",
+ "\n",
+ "\n",
+ "head = \"\"\"\n",
+ "\n",
+ " \n",
+ " | Align | \n",
+ " All Negative | \n",
+ " Both Neg and Pos | \n",
+ " All Positive | \n",
+ " Large Positive | \n",
+ " \n",
+ " \n",
+ "\n",
+ "\"\"\"\n",
+ "\n",
+ "aligns = ['left', 'right', 'zero', 'mid', 'mean', 99]\n",
+ "for align in aligns:\n",
+ " row = \"| {} | \".format(align)\n",
+ " for series in [test1,test2,test3, test4]:\n",
+ " s = series.copy()\n",
+ " s.name=''\n",
+ " row += \"{} | \".format(s.to_frame().style.hide(axis='index').bar(align=align, \n",
+ " color=['#d65f5f', '#5fba7d'], \n",
+ " width=100).to_html()) #testn['width']\n",
+ " row += '
|---|
'\n",
+ " head += row\n",
+ " \n",
+ "head+= \"\"\"\n",
+ "\n",
+ " \"\"\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.468613Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.468394Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.471574Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.471170Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " | Align | \n",
+ " All Negative | \n",
+ " Both Neg and Pos | \n",
+ " All Positive | \n",
+ " Large Positive | \n",
+ " \n",
+ " \n",
+ "\n",
+ "| left | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
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+ " | -30 | \n",
+ " \n",
+ " \n",
+ " | -20 | \n",
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+ " \n",
+ " | 0 | \n",
+ " \n",
+ " \n",
+ " | 90 | \n",
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+ " | 103 | \n",
+ " \n",
+ " \n",
+ " | 101 | \n",
+ " \n",
+ " \n",
+ " | 102 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " |
|---|
| right | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -100 | \n",
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+ " \n",
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+ " | 0 | \n",
+ " \n",
+ " \n",
+ " | 90 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
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+ " | \n",
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+ " | 101 | \n",
+ " \n",
+ " \n",
+ " | 102 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " |
|---|
| zero | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -100 | \n",
+ " \n",
+ " \n",
+ " | -60 | \n",
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+ " | -30 | \n",
+ " \n",
+ " \n",
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+ " \n",
+ " \n",
+ " | 90 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
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+ " \n",
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+ " \n",
+ " \n",
+ " | 101 | \n",
+ " \n",
+ " \n",
+ " | 102 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " |
|---|
| mid | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -100 | \n",
+ " \n",
+ " \n",
+ " | -60 | \n",
+ " \n",
+ " \n",
+ " | -30 | \n",
+ " \n",
+ " \n",
+ " | -20 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -10 | \n",
+ " \n",
+ " \n",
+ " | -5 | \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " \n",
+ " \n",
+ " | 90 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
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+ " \n",
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+ " \n",
+ " \n",
+ " | 50 | \n",
+ " \n",
+ " \n",
+ " | 100 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 100 | \n",
+ " \n",
+ " \n",
+ " | 103 | \n",
+ " \n",
+ " \n",
+ " | 101 | \n",
+ " \n",
+ " \n",
+ " | 102 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " |
|---|
| mean | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -100 | \n",
+ " \n",
+ " \n",
+ " | -60 | \n",
+ " \n",
+ " \n",
+ " | -30 | \n",
+ " \n",
+ " \n",
+ " | -20 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -10 | \n",
+ " \n",
+ " \n",
+ " | -5 | \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " \n",
+ " \n",
+ " | 90 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 10 | \n",
+ " \n",
+ " \n",
+ " | 20 | \n",
+ " \n",
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+ " \n",
+ " \n",
+ " | 100 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 100 | \n",
+ " \n",
+ " \n",
+ " | 103 | \n",
+ " \n",
+ " \n",
+ " | 101 | \n",
+ " \n",
+ " \n",
+ " | 102 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " |
|---|
| 99 | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -100 | \n",
+ " \n",
+ " \n",
+ " | -60 | \n",
+ " \n",
+ " \n",
+ " | -30 | \n",
+ " \n",
+ " \n",
+ " | -20 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -10 | \n",
+ " \n",
+ " \n",
+ " | -5 | \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " \n",
+ " \n",
+ " | 90 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 10 | \n",
+ " \n",
+ " \n",
+ " | 20 | \n",
+ " \n",
+ " \n",
+ " | 50 | \n",
+ " \n",
+ " \n",
+ " | 100 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ "\n",
+ " \n",
+ " \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 100 | \n",
+ " \n",
+ " \n",
+ " | 103 | \n",
+ " \n",
+ " \n",
+ " | 101 | \n",
+ " \n",
+ " \n",
+ " | 102 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " |
|---|
\n",
+ "\n",
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 59,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "HTML(head)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Sharing styles"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Say you have a lovely style built up for a DataFrame, and now you want to apply the same style to a second DataFrame. Export the style with `df1.style.export`, and import it on the second DataFrame with `df1.style.set`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.473160Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.472927Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.478015Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.477607Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | A | \n",
+ " B | \n",
+ " C | \n",
+ " D | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 1.764052 | \n",
+ " 0.400157 | \n",
+ " nan | \n",
+ " 2.240893 | \n",
+ " \n",
+ " \n",
+ " | 1.867558 | \n",
+ " -0.977278 | \n",
+ " 0.950088 | \n",
+ " -0.151357 | \n",
+ " \n",
+ " \n",
+ " | -0.103219 | \n",
+ " 0.410599 | \n",
+ " 0.144044 | \n",
+ " 1.454274 | \n",
+ " \n",
+ " \n",
+ " | 0.761038 | \n",
+ " 0.121675 | \n",
+ " 0.443863 | \n",
+ " 0.333674 | \n",
+ " \n",
+ " \n",
+ " | 1.494079 | \n",
+ " -0.205158 | \n",
+ " 0.313068 | \n",
+ " nan | \n",
+ " \n",
+ " \n",
+ " | -2.552990 | \n",
+ " 0.653619 | \n",
+ " 0.864436 | \n",
+ " -0.742165 | \n",
+ " \n",
+ " \n",
+ " | 2.269755 | \n",
+ " -1.454366 | \n",
+ " 0.045759 | \n",
+ " -0.187184 | \n",
+ " \n",
+ " \n",
+ " | 1.532779 | \n",
+ " 1.469359 | \n",
+ " 0.154947 | \n",
+ " 0.378163 | \n",
+ " \n",
+ " \n",
+ " | -0.887786 | \n",
+ " -1.980796 | \n",
+ " -0.347912 | \n",
+ " 0.156349 | \n",
+ " \n",
+ " \n",
+ " | 1.230291 | \n",
+ " 1.202380 | \n",
+ " -0.387327 | \n",
+ " -0.302303 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 60,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "style1 = df2.style\\\n",
+ " .map(style_negative, props='color:red;')\\\n",
+ " .map(lambda v: 'opacity: 20%;' if (v < 0.3) and (v > -0.3) else None)\\\n",
+ " .set_table_styles([{\"selector\": \"th\", \"props\": \"color: blue;\"}])\\\n",
+ " .hide(axis=\"index\")\n",
+ "style1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.479431Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.479209Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.483921Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.483419Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | c1 | \n",
+ " c2 | \n",
+ " c3 | \n",
+ " c4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | -1.048553 | \n",
+ " -1.420018 | \n",
+ " -1.706270 | \n",
+ " 1.950775 | \n",
+ " \n",
+ " \n",
+ " | -0.509652 | \n",
+ " -0.438074 | \n",
+ " -1.252795 | \n",
+ " 0.777490 | \n",
+ " \n",
+ " \n",
+ " | -1.613898 | \n",
+ " -0.212740 | \n",
+ " -0.895467 | \n",
+ " 0.386902 | \n",
+ " \n",
+ " \n",
+ " | -0.510805 | \n",
+ " -1.180632 | \n",
+ " -0.028182 | \n",
+ " 0.428332 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 61,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "style2 = df3.style\n",
+ "style2.use(style1.export())\n",
+ "style2"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Notice that you're able to share the styles even though they're data aware. The styles are re-evaluated on the new DataFrame they've been `use`d upon."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Limitations\n",
+ "\n",
+ "- DataFrame only (use `Series.to_frame().style`)\n",
+ "- The index and columns do not need to be unique, but certain styling functions can only work with unique indexes.\n",
+ "- No large repr, and construction performance isn't great; although we have some [HTML optimizations](#Optimization)\n",
+ "- You can only apply styles, you can't insert new HTML entities, except via subclassing."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Other Fun and Useful Stuff\n",
+ "\n",
+ "Here are a few interesting examples."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Widgets\n",
+ "\n",
+ "`Styler` interacts pretty well with widgets. If you're viewing this online instead of running the notebook yourself, you're missing out on interactively adjusting the color palette."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.485467Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.485262Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.494825Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.494371Z"
+ }
+ },
+ "outputs": [
+ {
+ "ename": "ModuleNotFoundError",
+ "evalue": "No module named 'ipywidgets'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[62], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mipywidgets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m widgets\n\u001b[1;32m 2\u001b[0m \u001b[38;5;129m@widgets\u001b[39m\u001b[38;5;241m.\u001b[39minteract\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mf\u001b[39m(h_neg\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m359\u001b[39m, \u001b[38;5;241m1\u001b[39m), h_pos\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m359\u001b[39m), s\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m0.\u001b[39m, \u001b[38;5;241m99.9\u001b[39m), l\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m0.\u001b[39m, \u001b[38;5;241m99.9\u001b[39m)):\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df2\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mbackground_gradient(\n\u001b[1;32m 5\u001b[0m cmap\u001b[38;5;241m=\u001b[39msns\u001b[38;5;241m.\u001b[39mpalettes\u001b[38;5;241m.\u001b[39mdiverging_palette(h_neg\u001b[38;5;241m=\u001b[39mh_neg, h_pos\u001b[38;5;241m=\u001b[39mh_pos, s\u001b[38;5;241m=\u001b[39ms, l\u001b[38;5;241m=\u001b[39ml,\n\u001b[1;32m 6\u001b[0m as_cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 7\u001b[0m )\n",
+ "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'ipywidgets'"
+ ]
+ }
+ ],
+ "source": [
+ "from ipywidgets import widgets\n",
+ "@widgets.interact\n",
+ "def f(h_neg=(0, 359, 1), h_pos=(0, 359), s=(0., 99.9), l=(0., 99.9)):\n",
+ " return df2.style.background_gradient(\n",
+ " cmap=sns.palettes.diverging_palette(h_neg=h_neg, h_pos=h_pos, s=s, l=l,\n",
+ " as_cmap=True)\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Magnify"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.496302Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.496087Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.498672Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.498284Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "def magnify():\n",
+ " return [dict(selector=\"th\",\n",
+ " props=[(\"font-size\", \"4pt\")]),\n",
+ " dict(selector=\"td\",\n",
+ " props=[('padding', \"0em 0em\")]),\n",
+ " dict(selector=\"th:hover\",\n",
+ " props=[(\"font-size\", \"12pt\")]),\n",
+ " dict(selector=\"tr:hover td:hover\",\n",
+ " props=[('max-width', '200px'),\n",
+ " ('font-size', '12pt')])\n",
+ "]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.500072Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.499854Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.509126Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.508706Z"
+ }
+ },
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'sns' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[64], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m np\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mseed(\u001b[38;5;241m25\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m cmap \u001b[38;5;241m=\u001b[39m cmap\u001b[38;5;241m=\u001b[39m\u001b[43msns\u001b[49m\u001b[38;5;241m.\u001b[39mdiverging_palette(\u001b[38;5;241m5\u001b[39m, \u001b[38;5;241m250\u001b[39m, as_cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 3\u001b[0m bigdf \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(np\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mrandn(\u001b[38;5;241m20\u001b[39m, \u001b[38;5;241m25\u001b[39m))\u001b[38;5;241m.\u001b[39mcumsum()\n\u001b[1;32m 5\u001b[0m bigdf\u001b[38;5;241m.\u001b[39mstyle\u001b[38;5;241m.\u001b[39mbackground_gradient(cmap, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\\\n\u001b[1;32m 6\u001b[0m \u001b[38;5;241m.\u001b[39mset_properties(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m{\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax-width\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m80px\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfont-size\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1pt\u001b[39m\u001b[38;5;124m'\u001b[39m})\\\n\u001b[1;32m 7\u001b[0m \u001b[38;5;241m.\u001b[39mset_caption(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHover to magnify\u001b[39m\u001b[38;5;124m\"\u001b[39m)\\\n\u001b[1;32m 8\u001b[0m \u001b[38;5;241m.\u001b[39mformat(precision\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m)\\\n\u001b[1;32m 9\u001b[0m \u001b[38;5;241m.\u001b[39mset_table_styles(magnify())\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'sns' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "np.random.seed(25)\n",
+ "cmap = cmap=sns.diverging_palette(5, 250, as_cmap=True)\n",
+ "bigdf = pd.DataFrame(np.random.randn(20, 25)).cumsum()\n",
+ "\n",
+ "bigdf.style.background_gradient(cmap, axis=1)\\\n",
+ " .set_properties(**{'max-width': '80px', 'font-size': '1pt'})\\\n",
+ " .set_caption(\"Hover to magnify\")\\\n",
+ " .format(precision=2)\\\n",
+ " .set_table_styles(magnify())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Sticky Headers\n",
+ "\n",
+ "If you display a large matrix or DataFrame in a notebook, but you want to always see the column and row headers you can use the [.set_sticky][sticky] method which manipulates the table styles CSS.\n",
+ "\n",
+ "[sticky]: ../reference/api/pandas.io.formats.style.Styler.set_sticky.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 65,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.510562Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.510356Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.527203Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.526751Z"
+ }
+ },
+ "outputs": [
+ {
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+ " -0.914863 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 65,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "bigdf = pd.DataFrame(np.random.randn(16, 100))\n",
+ "bigdf.style.set_sticky(axis=\"index\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "It is also possible to stick MultiIndexes and even only specific levels."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.528732Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.528491Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.545827Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.545420Z"
+ }
+ },
+ "outputs": [
+ {
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+ " \n",
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+ " -0.795981 | \n",
+ " -0.393301 | \n",
+ " -0.374372 | \n",
+ " -1.270199 | \n",
+ " 1.618372 | \n",
+ " 1.197727 | \n",
+ " -0.914863 | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 66,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "bigdf.index = pd.MultiIndex.from_product([[\"A\",\"B\"],[0,1],[0,1,2,3]])\n",
+ "bigdf.style.set_sticky(axis=\"index\", pixel_size=18, levels=[1,2])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### HTML Escaping\n",
+ "\n",
+ "Suppose you have to display HTML within HTML, that can be a bit of pain when the renderer can't distinguish. You can use the `escape` formatting option to handle this, and even use it within a formatter that contains HTML itself."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.547339Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.547114Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.550842Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.550408Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
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+ " 0 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " | \n",
+ " \"&other\" | \n",
+ " | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 67,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4 = pd.DataFrame([['', '\"&other\"', '']])\n",
+ "df4.style"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.552229Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.552004Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.555913Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.555453Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " <div></div> | \n",
+ " "&other" | \n",
+ " <span></span> | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.format(escape=\"html\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.557378Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.557167Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.560771Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.560335Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " <div></div> | \n",
+ " "&other" | \n",
+ " <span></span> | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 69,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.format('{}', escape=\"html\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Export to Excel\n",
+ "\n",
+ "Some support (*since version 0.20.0*) is available for exporting styled `DataFrames` to Excel worksheets using the `OpenPyXL` or `XlsxWriter` engines. CSS2.2 properties handled include:\n",
+ "\n",
+ "- `background-color`\n",
+ "- `border-style` properties\n",
+ "- `border-width` properties\n",
+ "- `border-color` properties\n",
+ "- `color`\n",
+ "- `font-family`\n",
+ "- `font-style`\n",
+ "- `font-weight`\n",
+ "- `text-align`\n",
+ "- `text-decoration`\n",
+ "- `vertical-align`\n",
+ "- `white-space: nowrap`\n",
+ "\n",
+ "\n",
+ "- Shorthand and side-specific border properties are supported (e.g. `border-style` and `border-left-style`) as well as the `border` shorthands for all sides (`border: 1px solid green`) or specified sides (`border-left: 1px solid green`). Using a `border` shorthand will override any border properties set before it (See [CSS Working Group](https://drafts.csswg.org/css-backgrounds/#border-shorthands) for more details)\n",
+ "\n",
+ "\n",
+ "- Only CSS2 named colors and hex colors of the form `#rgb` or `#rrggbb` are currently supported.\n",
+ "- The following pseudo CSS properties are also available to set Excel specific style properties:\n",
+ " - `number-format`\n",
+ " - `border-style` (for Excel-specific styles: \"hair\", \"mediumDashDot\", \"dashDotDot\", \"mediumDashDotDot\", \"dashDot\", \"slantDashDot\", or \"mediumDashed\")\n",
+ "\n",
+ "Table level styles, and data cell CSS-classes are not included in the export to Excel: individual cells must have their properties mapped by the `Styler.apply` and/or `Styler.map` methods."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.562360Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.562105Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.632928Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.632203Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "df2.style.\\\n",
+ " map(style_negative, props='color:red;').\\\n",
+ " highlight_max(axis=0).\\\n",
+ " to_excel('styled.xlsx', engine='openpyxl')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "A screenshot of the output:\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Export to LaTeX\n",
+ "\n",
+ "There is support (*since version 1.3.0*) to export `Styler` to LaTeX. The documentation for the [.to_latex][latex] method gives further detail and numerous examples.\n",
+ "\n",
+ "[latex]: ../reference/api/pandas.io.formats.style.Styler.to_latex.rst"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## More About CSS and HTML\n",
+ "\n",
+ "Cascading Style Sheet (CSS) language, which is designed to influence how a browser renders HTML elements, has its own peculiarities. It never reports errors: it just silently ignores them and doesn't render your objects how you intend so can sometimes be frustrating. Here is a very brief primer on how ``Styler`` creates HTML and interacts with CSS, with advice on common pitfalls to avoid."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### CSS Classes and Ids\n",
+ "\n",
+ "The precise structure of the CSS `class` attached to each cell is as follows.\n",
+ "\n",
+ "- Cells with Index and Column names include `index_name` and `level` where `k` is its level in a MultiIndex\n",
+ "- Index label cells include\n",
+ " + `row_heading`\n",
+ " + `level` where `k` is the level in a MultiIndex\n",
+ " + `row` where `m` is the numeric position of the row\n",
+ "- Column label cells include\n",
+ " + `col_heading`\n",
+ " + `level` where `k` is the level in a MultiIndex\n",
+ " + `col` where `n` is the numeric position of the column\n",
+ "- Data cells include\n",
+ " + `data`\n",
+ " + `row`, where `m` is the numeric position of the cell.\n",
+ " + `col`, where `n` is the numeric position of the cell.\n",
+ "- Blank cells include `blank`\n",
+ "- Trimmed cells include `col_trim` or `row_trim`\n",
+ "\n",
+ "The structure of the `id` is `T_uuid_level_row_col` where `level` is used only on headings, and headings will only have either `row` or `col` whichever is needed. By default we've also prepended each row/column identifier with a UUID unique to each DataFrame so that the style from one doesn't collide with the styling from another within the same notebook or page. You can read more about the use of UUIDs in [Optimization](#Optimization).\n",
+ "\n",
+ "We can see example of the HTML by calling the [.to_html()][tohtml] method.\n",
+ "\n",
+ "[tohtml]: ../reference/api/pandas.io.formats.style.Styler.to_html.rst"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.635903Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.635468Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.640811Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.640204Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " c1 | \n",
+ " c2 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | i1 | \n",
+ " 1 | \n",
+ " 2 | \n",
+ " \n",
+ " \n",
+ " | i2 | \n",
+ " 3 | \n",
+ " 4 | \n",
+ " \n",
+ " \n",
+ " \n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(pd.DataFrame([[1,2],[3,4]], index=['i1', 'i2'], columns=['c1', 'c2']).style.to_html())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### CSS Hierarchies\n",
+ "\n",
+ "The examples have shown that when CSS styles overlap, the one that comes last in the HTML render, takes precedence. So the following yield different results:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.642913Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.642508Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.647621Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.647212Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " text | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 72,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4 = pd.DataFrame([['text']])\n",
+ "df4.style.map(lambda x: 'color:green;')\\\n",
+ " .map(lambda x: 'color:red;')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.649075Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.648835Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.652939Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.652524Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " text | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 73,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.map(lambda x: 'color:red;')\\\n",
+ " .map(lambda x: 'color:green;')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This is only true for CSS rules that are equivalent in hierarchy, or importance. You can read more about [CSS specificity here](https://www.w3schools.com/css/css_specificity.asp) but for our purposes it suffices to summarize the key points:\n",
+ "\n",
+ "A CSS importance score for each HTML element is derived by starting at zero and adding:\n",
+ "\n",
+ " - 1000 for an inline style attribute\n",
+ " - 100 for each ID\n",
+ " - 10 for each attribute, class or pseudo-class\n",
+ " - 1 for each element name or pseudo-element\n",
+ " \n",
+ "Let's use this to describe the action of the following configurations"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.654383Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.654175Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.657987Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.657554Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " text | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 74,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.set_uuid('a_')\\\n",
+ " .set_table_styles([{'selector': 'td', 'props': 'color:red;'}])\\\n",
+ " .map(lambda x: 'color:green;')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "This text is red because the generated selector `#T_a_ td` is worth 101 (ID plus element), whereas `#T_a_row0_col0` is only worth 100 (ID), so is considered inferior even though in the HTML it comes after the previous."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.659402Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.659190Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.663420Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.663007Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " text | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 75,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.set_uuid('b_')\\\n",
+ " .set_table_styles([{'selector': 'td', 'props': 'color:red;'},\n",
+ " {'selector': '.cls-1', 'props': 'color:blue;'}])\\\n",
+ " .map(lambda x: 'color:green;')\\\n",
+ " .set_td_classes(pd.DataFrame([['cls-1']]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "In the above case the text is blue because the selector `#T_b_ .cls-1` is worth 110 (ID plus class), which takes precedence."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 76,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.665045Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.664821Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.668979Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.668562Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " text | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 76,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.set_uuid('c_')\\\n",
+ " .set_table_styles([{'selector': 'td', 'props': 'color:red;'},\n",
+ " {'selector': '.cls-1', 'props': 'color:blue;'},\n",
+ " {'selector': 'td.data', 'props': 'color:yellow;'}])\\\n",
+ " .map(lambda x: 'color:green;')\\\n",
+ " .set_td_classes(pd.DataFrame([['cls-1']]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now we have created another table style this time the selector `T_c_ td.data` (ID plus element plus class) gets bumped up to 111. \n",
+ "\n",
+ "If your style fails to be applied, and its really frustrating, try the `!important` trump card."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.670584Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.670369Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.674799Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.674392Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " | | \n",
+ " 0 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " text | \n",
+ " \n",
+ " \n",
+ " \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 77,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df4.style.set_uuid('d_')\\\n",
+ " .set_table_styles([{'selector': 'td', 'props': 'color:red;'},\n",
+ " {'selector': '.cls-1', 'props': 'color:blue;'},\n",
+ " {'selector': 'td.data', 'props': 'color:yellow;'}])\\\n",
+ " .map(lambda x: 'color:green !important;')\\\n",
+ " .set_td_classes(pd.DataFrame([['cls-1']]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Finally got that green text after all!"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Extensibility\n",
+ "\n",
+ "The core of pandas is, and will remain, its \"high-performance, easy-to-use data structures\".\n",
+ "With that in mind, we hope that `DataFrame.style` accomplishes two goals\n",
+ "\n",
+ "- Provide an API that is pleasing to use interactively and is \"good enough\" for many tasks\n",
+ "- Provide the foundations for dedicated libraries to build on\n",
+ "\n",
+ "If you build a great library on top of this, let us know and we'll [link](https://pandas.pydata.org/pandas-docs/stable/ecosystem.html) to it.\n",
+ "\n",
+ "### Subclassing\n",
+ "\n",
+ "If the default template doesn't quite suit your needs, you can subclass Styler and extend or override the template.\n",
+ "We'll show an example of extending the default template to insert a custom header before each table."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 78,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.676346Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.676129Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.678436Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.678030Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "from jinja2 import Environment, ChoiceLoader, FileSystemLoader\n",
+ "from IPython.display import HTML\n",
+ "from pandas.io.formats.style import Styler"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We'll use the following template:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 79,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.679878Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.679651Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.682300Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.681834Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "{% extends \"html_table.tpl\" %}\n",
+ "{% block table %}\n",
+ "{{ table_title|default(\"My Table\") }}\n",
+ "{{ super() }}\n",
+ "{% endblock table %}\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "with open(\"templates/myhtml.tpl\") as f:\n",
+ " print(f.read())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Now that we've created a template, we need to set up a subclass of ``Styler`` that\n",
+ "knows about it."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 80,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.683701Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.683484Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.687039Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.686653Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "class MyStyler(Styler):\n",
+ " env = Environment(\n",
+ " loader=ChoiceLoader([\n",
+ " FileSystemLoader(\"templates\"), # contains ours\n",
+ " Styler.loader, # the default\n",
+ " ])\n",
+ " )\n",
+ " template_html_table = env.get_template(\"myhtml.tpl\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Notice that we include the original loader in our environment's loader.\n",
+ "That's because we extend the original template, so the Jinja environment needs\n",
+ "to be able to find it.\n",
+ "\n",
+ "Now we can use that custom styler. It's `__init__` takes a DataFrame."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.688487Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.688273Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.698518Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.698088Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "\n",
+ "My Table\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " | | \n",
+ "\n",
+ "\n",
+ "\n",
+ " | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c1 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c2 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c3 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c4 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | A | \n",
+ "\n",
+ " r1 | \n",
+ "\n",
+ " -1.048553 | \n",
+ "\n",
+ " -1.420018 | \n",
+ "\n",
+ " -1.706270 | \n",
+ "\n",
+ " 1.950775 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | r2 | \n",
+ "\n",
+ " -0.509652 | \n",
+ "\n",
+ " -0.438074 | \n",
+ "\n",
+ " -1.252795 | \n",
+ "\n",
+ " 0.777490 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | B | \n",
+ "\n",
+ " r1 | \n",
+ "\n",
+ " -1.613898 | \n",
+ "\n",
+ " -0.212740 | \n",
+ "\n",
+ " -0.895467 | \n",
+ "\n",
+ " 0.386902 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | r2 | \n",
+ "\n",
+ " -0.510805 | \n",
+ "\n",
+ " -1.180632 | \n",
+ "\n",
+ " -0.028182 | \n",
+ "\n",
+ " 0.428332 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ "<__main__.MyStyler at 0x7f057f240580>"
+ ]
+ },
+ "execution_count": 81,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "MyStyler(df3)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Our custom template accepts a `table_title` keyword. We can provide the value in the `.to_html` method."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 82,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.700526Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.699793Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.704638Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.704117Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "\n",
+ "Extending Example\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " | | \n",
+ "\n",
+ "\n",
+ "\n",
+ " | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c1 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c2 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c3 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c4 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | A | \n",
+ "\n",
+ " r1 | \n",
+ "\n",
+ " -1.048553 | \n",
+ "\n",
+ " -1.420018 | \n",
+ "\n",
+ " -1.706270 | \n",
+ "\n",
+ " 1.950775 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | r2 | \n",
+ "\n",
+ " -0.509652 | \n",
+ "\n",
+ " -0.438074 | \n",
+ "\n",
+ " -1.252795 | \n",
+ "\n",
+ " 0.777490 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | B | \n",
+ "\n",
+ " r1 | \n",
+ "\n",
+ " -1.613898 | \n",
+ "\n",
+ " -0.212740 | \n",
+ "\n",
+ " -0.895467 | \n",
+ "\n",
+ " 0.386902 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | r2 | \n",
+ "\n",
+ " -0.510805 | \n",
+ "\n",
+ " -1.180632 | \n",
+ "\n",
+ " -0.028182 | \n",
+ "\n",
+ " 0.428332 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 82,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "HTML(MyStyler(df3).to_html(table_title=\"Extending Example\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "For convenience, we provide the `Styler.from_custom_template` method that does the same as the custom subclass."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 83,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.706481Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.706144Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.718382Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.717665Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "\n",
+ "Another Title\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " | | \n",
+ "\n",
+ "\n",
+ "\n",
+ " | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c1 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c2 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c3 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " c4 | \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | A | \n",
+ "\n",
+ " r1 | \n",
+ "\n",
+ " -1.048553 | \n",
+ "\n",
+ " -1.420018 | \n",
+ "\n",
+ " -1.706270 | \n",
+ "\n",
+ " 1.950775 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | r2 | \n",
+ "\n",
+ " -0.509652 | \n",
+ "\n",
+ " -0.438074 | \n",
+ "\n",
+ " -1.252795 | \n",
+ "\n",
+ " 0.777490 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | B | \n",
+ "\n",
+ " r1 | \n",
+ "\n",
+ " -1.613898 | \n",
+ "\n",
+ " -0.212740 | \n",
+ "\n",
+ " -0.895467 | \n",
+ "\n",
+ " 0.386902 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ " | r2 | \n",
+ "\n",
+ " -0.510805 | \n",
+ "\n",
+ " -1.180632 | \n",
+ "\n",
+ " -0.028182 | \n",
+ "\n",
+ " 0.428332 | \n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ " \n",
+ "\n",
+ "\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 83,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "EasyStyler = Styler.from_custom_template(\"templates\", \"myhtml.tpl\")\n",
+ "HTML(EasyStyler(df3).to_html(table_title=\"Another Title\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Template Structure\n",
+ "\n",
+ "Here's the template structure for the both the style generation template and the table generation template:"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Style template:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 84,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.720215Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.719938Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.722494Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.722084Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [],
+ "source": [
+ "with open(\"templates/html_style_structure.html\") as f:\n",
+ " style_structure = f.read()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 85,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.723899Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.723763Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.727206Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.726806Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "\n",
+ "before_style \n",
+ "style\n",
+ " <style type="text/css"> \n",
+ " table_styles \n",
+ " before_cellstyle \n",
+ " cellstyle \n",
+ " </style> \n",
+ " before_table \n",
+ "\n",
+ "table\n",
+ " <table ...> \n",
+ " caption \n",
+ "\n",
+ " thead\n",
+ " before_head_rows \n",
+ " head_tr (loop over headers) \n",
+ " after_head_rows \n",
+ " \n",
+ "\n",
+ " tbody\n",
+ " before_rows \n",
+ " tr (loop over data rows) \n",
+ " after_rows \n",
+ " \n",
+ " </table> \n",
+ " after_table \n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 87,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "HTML(table_structure)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "See the template in the [GitHub repo](https://github.com/pandas-dev/pandas) for more details."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 88,
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2023-11-12T08:41:03.736986Z",
+ "iopub.status.busy": "2023-11-12T08:41:03.736747Z",
+ "iopub.status.idle": "2023-11-12T08:41:03.738942Z",
+ "shell.execute_reply": "2023-11-12T08:41:03.738521Z"
+ },
+ "nbsphinx": "hidden"
+ },
+ "outputs": [],
+ "source": [
+ "# # Hack to get the same style in the notebook as the\n",
+ "# # main site. This is hidden in the docs.\n",
+ "# from IPython.display import HTML\n",
+ "# with open(\"themes/nature_with_gtoc/static/nature.css_t\") as f:\n",
+ "# css = f.read()\n",
+ " \n",
+ "# HTML(''.format(css))"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
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diff --git a/doc/source/locale/pot/_sphinx_design_static/design-tabs.js b/doc/source/locale/pot/_sphinx_design_static/design-tabs.js
new file mode 100644
index 0000000000000..36b38cf0d9112
--- /dev/null
+++ b/doc/source/locale/pot/_sphinx_design_static/design-tabs.js
@@ -0,0 +1,27 @@
+var sd_labels_by_text = {};
+
+function ready() {
+ const li = document.getElementsByClassName("sd-tab-label");
+ for (const label of li) {
+ syncId = label.getAttribute("data-sync-id");
+ if (syncId) {
+ label.onclick = onLabelClick;
+ if (!sd_labels_by_text[syncId]) {
+ sd_labels_by_text[syncId] = [];
+ }
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+}
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diff --git a/doc/source/locale/pot/development/community.pot b/doc/source/locale/pot/development/community.pot
new file mode 100644
index 0000000000000..3e22a1b38fe85
--- /dev/null
+++ b/doc/source/locale/pot/development/community.pot
@@ -0,0 +1,165 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/community.rst:5
+msgid "Contributor community"
+msgstr ""
+
+#: ../../source/development/community.rst:7
+msgid "pandas is a community-driven open source project developed by a large group of `contributors `_ and a smaller group of `maintainers `_. The pandas leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the pandas `Code of Conduct `_ for guidance on how to interact with others in a way that makes the community thrive."
+msgstr ""
+
+#: ../../source/development/community.rst:15
+msgid "We offer several meetings and communication channels to share knowledge and connect with others within the pandas community."
+msgstr ""
+
+#: ../../source/development/community.rst:19
+msgid "Community meeting"
+msgstr ""
+
+#: ../../source/development/community.rst:21
+msgid "The pandas Community Meeting is a regular sync meeting for the project's maintainers which is open to the community. Everyone is welcome to attend and contribute to conversations."
+msgstr ""
+
+#: ../../source/development/community.rst:25
+msgid "The meetings take place on the second and fourth Wednesdays of each month at 18:00 UTC."
+msgstr ""
+
+#: ../../source/development/community.rst:27
+msgid "The minutes of past meetings are available in `this Google Document `__."
+msgstr ""
+
+#: ../../source/development/community.rst:31
+msgid "New contributor meeting"
+msgstr ""
+
+#: ../../source/development/community.rst:33
+msgid "On the third Wednesday of the month, we hold meetings to welcome and support new contributors in our community."
+msgstr ""
+
+#: ../../source/development/community.rst:36
+msgid "👋 you all are invited"
+msgstr ""
+
+#: ../../source/development/community.rst:37
+msgid "💬 everyone can present (add yourself to the hackMD agenda)"
+msgstr ""
+
+#: ../../source/development/community.rst:38
+msgid "👀 anyone can sit in and listen"
+msgstr ""
+
+#: ../../source/development/community.rst:40
+msgid "Attendees are new and experienced contributors, as well as a few maintainers. We aim to answer questions about getting started, or help with work in progress when possible, as well as get to know each other and share our learnings and experiences."
+msgstr ""
+
+#: ../../source/development/community.rst:45
+msgid "The agenda for the next meeting and minutes of past meetings are available in `this HackMD `__."
+msgstr ""
+
+#: ../../source/development/community.rst:49
+msgid "Calendar"
+msgstr ""
+
+#: ../../source/development/community.rst:51
+msgid "This calendar shows all the community meetings. Our community meetings are ideal for anyone wanting to contribute to pandas, or just curious to know how current development is going."
+msgstr ""
+
+#: ../../source/development/community.rst:59
+msgid "You can subscribe to this calendar with the following links:"
+msgstr ""
+
+#: ../../source/development/community.rst:61
+msgid "`iCal `__"
+msgstr ""
+
+#: ../../source/development/community.rst:62
+msgid "`Google calendar `__"
+msgstr ""
+
+#: ../../source/development/community.rst:64
+msgid "Additionally, we'll sometimes have one-off meetings on specific topics. These will be published on the same calendar."
+msgstr ""
+
+#: ../../source/development/community.rst:68
+msgid "`GitHub issue tracker `_"
+msgstr ""
+
+#: ../../source/development/community.rst:70
+msgid "The pandas contributor community conducts conversations mainly via this channel. Any community member can open issues to:"
+msgstr ""
+
+#: ../../source/development/community.rst:73
+msgid "Report bugs, e.g. \"I noticed the behavior of a certain function is incorrect\""
+msgstr ""
+
+#: ../../source/development/community.rst:75
+msgid "Request features, e.g. \"I would like this error message to be more readable\""
+msgstr ""
+
+#: ../../source/development/community.rst:76
+msgid "Request documentation improvements, e.g. \"I found this section unclear\""
+msgstr ""
+
+#: ../../source/development/community.rst:77
+msgid "Ask questions, e.g. \"I noticed the behavior of a certain function changed between versions. Is this expected?\"."
+msgstr ""
+
+#: ../../source/development/community.rst:80
+msgid "Ideally, your questions should be related to how pandas works rather than how you use pandas. `StackOverflow `_ is better suited for answering usage questions, and we ask that all usage questions are first asked on StackOverflow. Thank you for respecting our time and wishes. 🙇"
+msgstr ""
+
+#: ../../source/development/community.rst:86
+msgid "Maintainers and frequent contributors might also open issues to discuss the ongoing development of the project. For example:"
+msgstr ""
+
+#: ../../source/development/community.rst:89
+msgid "Report issues with the CI, GitHub Actions, or the performance of pandas"
+msgstr ""
+
+#: ../../source/development/community.rst:90
+msgid "Open issues relating to the internals"
+msgstr ""
+
+#: ../../source/development/community.rst:91
+msgid "Start roadmap discussion aligning on proposals for what to do in future releases or changes to the API."
+msgstr ""
+
+#: ../../source/development/community.rst:93
+msgid "Open issues relating to the project's website, logo, or governance"
+msgstr ""
+
+#: ../../source/development/community.rst:96
+msgid "The developer mailing list"
+msgstr ""
+
+#: ../../source/development/community.rst:98
+msgid "The pandas mailing list `pandas-dev@python.org `_ is used for long form conversations and to engage people in the wider community who might not be active on the issue tracker but we would like to include in discussions."
+msgstr ""
+
+#: ../../source/development/community.rst:106
+msgid "Community slack"
+msgstr ""
+
+#: ../../source/development/community.rst:108
+msgid "We have a chat platform for contributors, maintainers and potential contributors. This is not a space for user questions, rather for questions about contributing to pandas. The slack is a private space, specifically meant for people who are hesitant to bring up their questions or ideas on a large public mailing list or GitHub."
+msgstr ""
+
+#: ../../source/development/community.rst:114
+msgid "If this sounds like the right place for you, you are welcome to join using `this link `_! Please remember to follow our `Code of Conduct `_, and be aware that our admins are monitoring for irrelevant messages and will remove folks who use our slack for spam, advertisements and messages not related to the pandas contributing community. And please remember that slack is not meant to replace the mailing list or issue tracker - all important announcements and conversations should still happen there."
+msgstr ""
diff --git a/doc/source/locale/pot/development/contributing.pot b/doc/source/locale/pot/development/contributing.pot
new file mode 100644
index 0000000000000..d2c9eca880348
--- /dev/null
+++ b/doc/source/locale/pot/development/contributing.pot
@@ -0,0 +1,365 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/contributing.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/contributing.rst:7
+msgid "Contributing to pandas"
+msgstr ""
+
+#: ../../source/development/contributing.rst:11
+msgid "Table of contents:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:13
+msgid "All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome."
+msgstr ""
+
+#: ../../source/development/contributing.rst:19
+msgid "Bug reports and enhancement requests"
+msgstr ""
+
+#: ../../source/development/contributing.rst:21
+msgid "Bug reports and enhancement requests are an important part of making pandas more stable and are curated though Github issues. When reporting and issue or request, please select the `appropriate category and fill out the issue form fully `_ to ensure others and the core development team can fully understand the scope of the issue."
+msgstr ""
+
+#: ../../source/development/contributing.rst:26
+msgid "The issue will then show up to the pandas community and be open to comments/ideas from others."
+msgstr ""
+
+#: ../../source/development/contributing.rst:29
+msgid "Finding an issue to contribute to"
+msgstr ""
+
+#: ../../source/development/contributing.rst:31
+msgid "If you are brand new to pandas or open-source development, we recommend searching the `GitHub \"issues\" tab `_ to find issues that interest you. Unassigned issues labeled `Docs `_ and `good first issue `_ are typically good for newer contributors."
+msgstr ""
+
+#: ../../source/development/contributing.rst:39
+msgid "Once you've found an interesting issue, it's a good idea to assign the issue to yourself, so nobody else duplicates the work on it. On the Github issue, a comment with the exact text ``take`` to automatically assign you the issue (this will take seconds and may require refreshing the page to see it)."
+msgstr ""
+
+#: ../../source/development/contributing.rst:44
+msgid "If for whatever reason you are not able to continue working with the issue, please unassign it, so other people know it's available again. You can check the list of assigned issues, since people may not be working in them anymore. If you want to work on one that is assigned, feel free to kindly ask the current assignee if you can take it (please allow at least a week of inactivity before considering work in the issue discontinued)."
+msgstr ""
+
+#: ../../source/development/contributing.rst:50
+msgid "We have several :ref:`contributor community ` communication channels, which you are welcome to join, and ask questions as you figure things out. Among them are regular meetings for new contributors, dev meetings, a dev mailing list, and a Slack for the contributor community. All pandas contributors are welcome to these spaces, where they can connect with each other. Even maintainers who have been with us for a long time felt just like you when they started out, and are happy to welcome you and support you as you get to know how we work, and where things are. Take a look at the next sections to learn more."
+msgstr ""
+
+#: ../../source/development/contributing.rst:61
+msgid "Submitting a pull request"
+msgstr ""
+
+#: ../../source/development/contributing.rst:66
+msgid "Version control, Git, and GitHub"
+msgstr ""
+
+#: ../../source/development/contributing.rst:68
+msgid "pandas is hosted on `GitHub `_, and to contribute, you will need to sign up for a `free GitHub account `_. We use `Git `_ for version control to allow many people to work together on the project."
+msgstr ""
+
+#: ../../source/development/contributing.rst:73
+msgid "If you are new to Git, you can reference some of these resources for learning Git. Feel free to reach out to the :ref:`contributor community ` for help if needed:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:76
+msgid "`Git documentation `_."
+msgstr ""
+
+#: ../../source/development/contributing.rst:77
+msgid "`Numpy's Git resources `_ tutorial."
+msgstr ""
+
+#: ../../source/development/contributing.rst:79
+msgid "Also, the project follows a forking workflow further described on this page whereby contributors fork the repository, make changes and then create a pull request. So please be sure to read and follow all the instructions in this guide."
+msgstr ""
+
+#: ../../source/development/contributing.rst:83
+msgid "If you are new to contributing to projects through forking on GitHub, take a look at the `GitHub documentation for contributing to projects `_. GitHub provides a quick tutorial using a test repository that may help you become more familiar with forking a repository, cloning a fork, creating a feature branch, pushing changes and making pull requests."
+msgstr ""
+
+#: ../../source/development/contributing.rst:89
+msgid "Below are some useful resources for learning more about forking and pull requests on GitHub:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:91
+msgid "the `GitHub documentation for forking a repo `_."
+msgstr ""
+
+#: ../../source/development/contributing.rst:92
+msgid "the `GitHub documentation for collaborating with pull requests `_."
+msgstr ""
+
+#: ../../source/development/contributing.rst:93
+msgid "the `GitHub documentation for working with forks `_."
+msgstr ""
+
+#: ../../source/development/contributing.rst:96
+msgid "Getting started with Git"
+msgstr ""
+
+#: ../../source/development/contributing.rst:98
+msgid "`GitHub has instructions `__ for installing git, setting up your SSH key, and configuring git. All these steps need to be completed before you can work seamlessly between your local repository and GitHub."
+msgstr ""
+
+#: ../../source/development/contributing.rst:105
+msgid "Create a fork of pandas"
+msgstr ""
+
+#: ../../source/development/contributing.rst:107
+msgid "You will need your own copy of pandas (aka fork) to work on the code. Go to the `pandas project page `_ and hit the ``Fork`` button. Please uncheck the box to copy only the main branch before selecting ``Create Fork``. You will want to clone your fork to your machine"
+msgstr ""
+
+#: ../../source/development/contributing.rst:118
+msgid "This creates the directory ``pandas-yourname`` and connects your repository to the upstream (main project) *pandas* repository."
+msgstr ""
+
+#: ../../source/development/contributing.rst:123
+msgid "Performing a shallow clone (with ``--depth==N``, for some ``N`` greater or equal to 1) might break some tests and features as ``pd.show_versions()`` as the version number cannot be computed anymore."
+msgstr ""
+
+#: ../../source/development/contributing.rst:128
+msgid "Creating a feature branch"
+msgstr ""
+
+#: ../../source/development/contributing.rst:130
+msgid "Your local ``main`` branch should always reflect the current state of pandas repository. First ensure it's up-to-date with the main pandas repository."
+msgstr ""
+
+#: ../../source/development/contributing.rst:138
+msgid "Then, create a feature branch for making your changes. For example"
+msgstr ""
+
+#: ../../source/development/contributing.rst:144
+msgid "This changes your working branch from ``main`` to the ``shiny-new-feature`` branch. Keep any changes in this branch specific to one bug or feature so it is clear what the branch brings to pandas. You can have many feature branches and switch in between them using the ``git checkout`` command."
+msgstr ""
+
+#: ../../source/development/contributing.rst:149
+msgid "When you want to update the feature branch with changes in main after you created the branch, check the section on :ref:`updating a PR `."
+msgstr ""
+
+#: ../../source/development/contributing.rst:156
+msgid "Making code changes"
+msgstr ""
+
+#: ../../source/development/contributing.rst:158
+msgid "Before modifying any code, ensure you follow the :ref:`contributing environment ` guidelines to set up an appropriate development environment."
+msgstr ""
+
+#: ../../source/development/contributing.rst:161
+msgid "Then once you have made code changes, you can see all the changes you've currently made by running."
+msgstr ""
+
+#: ../../source/development/contributing.rst:167
+msgid "For files you intended to modify or add, run."
+msgstr ""
+
+#: ../../source/development/contributing.rst:173
+msgid "Running ``git status`` again should display"
+msgstr ""
+
+#: ../../source/development/contributing.rst:182
+msgid "Finally, commit your changes to your local repository with an explanatory commit message"
+msgstr ""
+
+#: ../../source/development/contributing.rst:192
+msgid "Pushing your changes"
+msgstr ""
+
+#: ../../source/development/contributing.rst:194
+msgid "When you want your changes to appear publicly on your GitHub page, push your forked feature branch's commits"
+msgstr ""
+
+#: ../../source/development/contributing.rst:201
+msgid "Here ``origin`` is the default name given to your remote repository on GitHub. You can see the remote repositories"
+msgstr ""
+
+#: ../../source/development/contributing.rst:208
+msgid "If you added the upstream repository as described above you will see something like"
+msgstr ""
+
+#: ../../source/development/contributing.rst:218
+msgid "Now your code is on GitHub, but it is not yet a part of the pandas project. For that to happen, a pull request needs to be submitted on GitHub."
+msgstr ""
+
+#: ../../source/development/contributing.rst:222
+msgid "Making a pull request"
+msgstr ""
+
+#: ../../source/development/contributing.rst:224
+msgid "One you have finished your code changes, your code change will need to follow the :ref:`pandas contribution guidelines ` to be successfully accepted."
+msgstr ""
+
+#: ../../source/development/contributing.rst:227
+msgid "If everything looks good, you are ready to make a pull request. A pull request is how code from your local repository becomes available to the GitHub community to review and merged into project to appear the in the next release. To submit a pull request:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:231
+msgid "Navigate to your repository on GitHub"
+msgstr ""
+
+#: ../../source/development/contributing.rst:232
+msgid "Click on the ``Compare & pull request`` button"
+msgstr ""
+
+#: ../../source/development/contributing.rst:233
+msgid "You can then click on ``Commits`` and ``Files Changed`` to make sure everything looks okay one last time"
+msgstr ""
+
+#: ../../source/development/contributing.rst:235
+msgid "Write a descriptive title that includes prefixes. pandas uses a convention for title prefixes. Here are some common ones along with general guidelines for when to use them:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:238
+msgid "ENH: Enhancement, new functionality"
+msgstr ""
+
+#: ../../source/development/contributing.rst:239
+msgid "BUG: Bug fix"
+msgstr ""
+
+#: ../../source/development/contributing.rst:240
+msgid "DOC: Additions/updates to documentation"
+msgstr ""
+
+#: ../../source/development/contributing.rst:241
+msgid "TST: Additions/updates to tests"
+msgstr ""
+
+#: ../../source/development/contributing.rst:242
+msgid "BLD: Updates to the build process/scripts"
+msgstr ""
+
+#: ../../source/development/contributing.rst:243
+msgid "PERF: Performance improvement"
+msgstr ""
+
+#: ../../source/development/contributing.rst:244
+msgid "TYP: Type annotations"
+msgstr ""
+
+#: ../../source/development/contributing.rst:245
+msgid "CLN: Code cleanup"
+msgstr ""
+
+#: ../../source/development/contributing.rst:247
+msgid "Write a description of your changes in the ``Preview Discussion`` tab"
+msgstr ""
+
+#: ../../source/development/contributing.rst:248
+msgid "Click ``Send Pull Request``."
+msgstr ""
+
+#: ../../source/development/contributing.rst:250
+msgid "This request then goes to the repository maintainers, and they will review the code."
+msgstr ""
+
+#: ../../source/development/contributing.rst:256
+msgid "Updating your pull request"
+msgstr ""
+
+#: ../../source/development/contributing.rst:258
+msgid "Based on the review you get on your pull request, you will probably need to make some changes to the code. You can follow the :ref:`code committing steps ` again to address any feedback and update your pull request."
+msgstr ""
+
+#: ../../source/development/contributing.rst:262
+msgid "It is also important that updates in the pandas ``main`` branch are reflected in your pull request. To update your feature branch with changes in the pandas ``main`` branch, run:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:271
+msgid "If there are no conflicts (or they could be fixed automatically), a file with a default commit message will open, and you can simply save and quit this file."
+msgstr ""
+
+#: ../../source/development/contributing.rst:274
+msgid "If there are merge conflicts, you need to solve those conflicts. See for example at https://help.github.com/articles/resolving-a-merge-conflict-using-the-command-line/ for an explanation on how to do this."
+msgstr ""
+
+#: ../../source/development/contributing.rst:278
+msgid "Once the conflicts are resolved, run:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:280
+msgid "``git add -u`` to stage any files you've updated;"
+msgstr ""
+
+#: ../../source/development/contributing.rst:281
+msgid "``git commit`` to finish the merge."
+msgstr ""
+
+#: ../../source/development/contributing.rst:285
+msgid "If you have uncommitted changes at the moment you want to update the branch with ``main``, you will need to ``stash`` them prior to updating (see the `stash docs `__). This will effectively store your changes and they can be reapplied after updating."
+msgstr ""
+
+#: ../../source/development/contributing.rst:290
+msgid "After the feature branch has been update locally, you can now update your pull request by pushing to the branch on GitHub:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:297
+msgid "Any ``git push`` will automatically update your pull request with your branch's changes and restart the :ref:`Continuous Integration ` checks."
+msgstr ""
+
+#: ../../source/development/contributing.rst:303
+msgid "Updating the development environment"
+msgstr ""
+
+#: ../../source/development/contributing.rst:305
+msgid "It is important to periodically update your local ``main`` branch with updates from the pandas ``main`` branch and update your development environment to reflect any changes to the various packages that are used during development."
+msgstr ""
+
+#: ../../source/development/contributing.rst:309
+msgid "If using :ref:`mamba `, run:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:318
+msgid "If using :ref:`pip ` , do:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:328
+msgid "Tips for a successful pull request"
+msgstr ""
+
+#: ../../source/development/contributing.rst:330
+msgid "If you have made it to the `Making a pull request`_ phase, one of the core contributors may take a look. Please note however that a handful of people are responsible for reviewing all of the contributions, which can often lead to bottlenecks."
+msgstr ""
+
+#: ../../source/development/contributing.rst:334
+msgid "To improve the chances of your pull request being reviewed, you should:"
+msgstr ""
+
+#: ../../source/development/contributing.rst:336
+msgid "**Reference an open issue** for non-trivial changes to clarify the PR's purpose"
+msgstr ""
+
+#: ../../source/development/contributing.rst:337
+msgid "**Ensure you have appropriate tests**. These should be the first part of any PR"
+msgstr ""
+
+#: ../../source/development/contributing.rst:338
+msgid "**Keep your pull requests as simple as possible**. Larger PRs take longer to review"
+msgstr ""
+
+#: ../../source/development/contributing.rst:339
+msgid "**Ensure that CI is in a green state**. Reviewers may not even look otherwise"
+msgstr ""
+
+#: ../../source/development/contributing.rst:340
+msgid "**Keep** `Updating your pull request`_, either by request or every few days"
+msgstr ""
diff --git a/doc/source/locale/pot/development/contributing_codebase.pot b/doc/source/locale/pot/development/contributing_codebase.pot
new file mode 100644
index 0000000000000..ec00ac75d8548
--- /dev/null
+++ b/doc/source/locale/pot/development/contributing_codebase.pot
@@ -0,0 +1,837 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/contributing_codebase.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:7
+msgid "Contributing to the code base"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:10
+msgid "Table of Contents:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:13
+msgid "Code standards"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:15
+msgid "Writing good code is not just about what you write. It is also about *how* you write it. During :ref:`Continuous Integration ` testing, several tools will be run to check your code for stylistic errors. Generating any warnings will cause the test to fail. Thus, good style is a requirement for submitting code to pandas."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:21
+msgid "There are a couple of tools in pandas to help contributors verify their changes before contributing to the project"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:24
+msgid "``./ci/code_checks.sh``: a script validates the doctests, formatting in docstrings, and imported modules. It is possible to run the checks independently by using the parameters ``docstrings``, ``code``, and ``doctests`` (e.g. ``./ci/code_checks.sh doctests``);"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:28
+msgid "``pre-commit``, which we go into detail on in the next section."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:30
+msgid "In addition, because a lot of people use our library, it is important that we do not make sudden changes to the code that could have the potential to break a lot of user code as a result, that is, we need it to be as *backwards compatible* as possible to avoid mass breakages."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:38
+msgid "Pre-commit"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:40
+msgid "Additionally, :ref:`Continuous Integration ` will run code formatting checks like ``black``, ``ruff``, ``isort``, and ``cpplint`` and more using `pre-commit hooks `_. Any warnings from these checks will cause the :ref:`Continuous Integration ` to fail; therefore, it is helpful to run the check yourself before submitting code. This can be done by installing ``pre-commit`` (which should already have happened if you followed the instructions in :ref:`Setting up your development environment `) and then running::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:50
+msgid "from the root of the pandas repository. Now all of the styling checks will be run each time you commit changes without your needing to run each one manually. In addition, using ``pre-commit`` will also allow you to more easily remain up-to-date with our code checks as they change."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:55
+msgid "Note that if needed, you can skip these checks with ``git commit --no-verify``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:57
+msgid "If you don't want to use ``pre-commit`` as part of your workflow, you can still use it to run its checks with one of the following::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:63
+msgid "without needing to have done ``pre-commit install`` beforehand."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:65
+msgid "Finally, we also have some slow pre-commit checks, which don't run on each commit but which do run during continuous integration. You can trigger them manually with::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:72
+msgid "You may want to periodically run ``pre-commit gc``, to clean up repos which are no longer used."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:77
+msgid "If you have conflicting installations of ``virtualenv``, then you may get an error - see `here `_."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:80
+msgid "Also, due to a `bug in virtualenv `_, you may run into issues if you're using conda. To solve this, you can downgrade ``virtualenv`` to version ``20.0.33``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:86
+msgid "If you have recently merged in main from the upstream branch, some of the dependencies used by ``pre-commit`` may have changed. Make sure to :ref:`update your development environment `."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:91
+msgid "Optional dependencies"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:93
+msgid "Optional dependencies (e.g. matplotlib) should be imported with the private helper ``pandas.compat._optional.import_optional_dependency``. This ensures a consistent error message when the dependency is not met."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:97
+msgid "All methods using an optional dependency should include a test asserting that an ``ImportError`` is raised when the optional dependency is not found. This test should be skipped if the library is present."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:101
+msgid "All optional dependencies should be documented in :ref:`install.optional_dependencies` and the minimum required version should be set in the ``pandas.compat._optional.VERSIONS`` dict."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:106
+msgid "Backwards compatibility"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:108
+msgid "Please try to maintain backward compatibility. pandas has lots of users with lots of existing code, so don't break it if at all possible. If you think breakage is required, clearly state why as part of the pull request. Also, be careful when changing method signatures and add deprecation warnings where needed. Also, add the deprecated sphinx directive to the deprecated functions or methods."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:114
+msgid "If a function with the same arguments as the one being deprecated exist, you can use the ``pandas.util._decorators.deprecate``:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:123
+msgid "Otherwise, you need to do it manually:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:148
+msgid "You'll also need to"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:150
+msgid "Write a new test that asserts a warning is issued when calling with the deprecated argument"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:151
+msgid "Update all of pandas existing tests and code to use the new argument"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:153
+msgid "See :ref:`contributing.warnings` for more."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:158
+msgid "Type hints"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:160
+msgid "pandas strongly encourages the use of :pep:`484` style type hints. New development should contain type hints and pull requests to annotate existing code are accepted as well!"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:163
+msgid "Style guidelines"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:165
+msgid "Type imports should follow the ``from typing import ...`` convention. Your code may be automatically re-written to use some modern constructs (e.g. using the built-in ``list`` instead of ``typing.List``) by the :ref:`pre-commit checks `."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:169
+msgid "In some cases in the code base classes may define class variables that shadow builtins. This causes an issue as described in `Mypy 1775 `_. The defensive solution here is to create an unambiguous alias of the builtin and use that without your annotation. For example, if you come across a definition like"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:176
+msgid "The appropriate way to annotate this would be as follows"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:185
+msgid "In some cases you may be tempted to use ``cast`` from the typing module when you know better than the analyzer. This occurs particularly when using custom inference functions. For example"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:201
+msgid "The limitation here is that while a human can reasonably understand that ``is_number`` would catch the ``int`` and ``float`` types mypy cannot make that same inference just yet (see `mypy #5206 `_. While the above works, the use of ``cast`` is **strongly discouraged**. Where applicable a refactor of the code to appease static analysis is preferable"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:212
+msgid "With custom types and inference this is not always possible so exceptions are made, but every effort should be exhausted to avoid ``cast`` before going down such paths."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:215
+msgid "pandas-specific types"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:217
+msgid "Commonly used types specific to pandas will appear in `pandas._typing `_ and you should use these where applicable. This module is private for now but ultimately this should be exposed to third party libraries who want to implement type checking against pandas."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:219
+msgid "For example, quite a few functions in pandas accept a ``dtype`` argument. This can be expressed as a string like ``\"object\"``, a ``numpy.dtype`` like ``np.int64`` or even a pandas ``ExtensionDtype`` like ``pd.CategoricalDtype``. Rather than burden the user with having to constantly annotate all of those options, this can simply be imported and reused from the pandas._typing module"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:228
+msgid "This module will ultimately house types for repeatedly used concepts like \"path-like\", \"array-like\", \"numeric\", etc... and can also hold aliases for commonly appearing parameters like ``axis``. Development of this module is active so be sure to refer to the source for the most up to date list of available types."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:231
+msgid "Validating type hints"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:233
+msgid "pandas uses `mypy `_ and `pyright `_ to statically analyze the code base and type hints. After making any change you can ensure your type hints are consistent by running"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:243
+msgid "in your python environment."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:247
+msgid "Please be aware that the above commands will use the current python environment. If your python packages are older/newer than those installed by the pandas CI, the above commands might fail. This is often the case when the ``mypy`` or ``numpy`` versions do not match. Please see :ref:`how to setup the python environment ` or select a `recently succeeded workflow `_, select the \"Docstring validation, typing, and other manual pre-commit hooks\" job, then click on \"Set up Conda\" and \"Environment info\" to see which versions the pandas CI installs."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:252
+msgid "Testing type hints in code using pandas"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:256
+msgid "Pandas is not yet a py.typed library (:pep:`561`)! The primary purpose of locally declaring pandas as a py.typed library is to test and improve the pandas-builtin type annotations."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:260
+msgid "Until pandas becomes a py.typed library, it is possible to easily experiment with the type annotations shipped with pandas by creating an empty file named \"py.typed\" in the pandas installation folder:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:268
+msgid "The existence of the py.typed file signals to type checkers that pandas is already a py.typed library. This makes type checkers aware of the type annotations shipped with pandas."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:272
+msgid "Testing with continuous integration"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:274
+msgid "The pandas test suite will run automatically on `GitHub Actions `__ continuous integration services, once your pull request is submitted. However, if you wish to run the test suite on a branch prior to submitting the pull request, then the continuous integration services need to be hooked to your GitHub repository. Instructions are here for `GitHub Actions `__."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:280
+msgid "A pull-request will be considered for merging when you have an all 'green' build. If any tests are failing, then you will get a red 'X', where you can click through to see the individual failed tests. This is an example of a green build."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:290
+msgid "Test-driven development"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:292
+msgid "pandas is serious about testing and strongly encourages contributors to embrace `test-driven development (TDD) `_. This development process \"relies on the repetition of a very short development cycle: first the developer writes an (initially failing) automated test case that defines a desired improvement or new function, then produces the minimum amount of code to pass that test.\" So, before actually writing any code, you should write your tests. Often the test can be taken from the original GitHub issue. However, it is always worth considering additional use cases and writing corresponding tests."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:301
+msgid "Adding tests is one of the most common requests after code is pushed to pandas. Therefore, it is worth getting in the habit of writing tests ahead of time so this is never an issue."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:305
+msgid "Writing tests"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:307
+msgid "All tests should go into the ``tests`` subdirectory of the specific package. This folder contains many current examples of tests, and we suggest looking to these for inspiration."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:311
+msgid "As a general tip, you can use the search functionality in your integrated development environment (IDE) or the git grep command in a terminal to find test files in which the method is called. If you are unsure of the best location to put your test, take your best guess, but note that reviewers may request that you move the test to a different location."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:316
+msgid "To use git grep, you can run the following command in a terminal:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:318
+msgid "``git grep \"function_name(\"``"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:320
+msgid "This will search through all files in your repository for the text ``function_name(``. This can be a useful way to quickly locate the function in the codebase and determine the best location to add a test for it."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:324
+msgid "Ideally, there should be one, and only one, obvious place for a test to reside. Until we reach that ideal, these are some rules of thumb for where a test should be located."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:328
+msgid "Does your test depend only on code in ``pd._libs.tslibs``? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:331
+msgid "tests.tslibs"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:335
+msgid "No file in ``tests.tslibs`` should import from any pandas modules outside of ``pd._libs.tslibs``"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:338
+msgid "tests.scalar"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:339
+msgid "tests.tseries.offsets"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:341
+msgid "Does your test depend only on code in pd._libs? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:344
+msgid "tests.libs"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:345
+msgid "tests.groupby.test_libgroupby"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:347
+msgid "Is your test for an arithmetic or comparison method? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:350
+msgid "tests.arithmetic"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:354
+msgid "These are intended for tests that can be shared to test the behavior of DataFrame/Series/Index/ExtensionArray using the ``box_with_array`` fixture."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:358
+msgid "tests.frame.test_arithmetic"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:359
+msgid "tests.series.test_arithmetic"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:361
+msgid "Is your test for a reduction method (min, max, sum, prod, ...)? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:364
+msgid "tests.reductions"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:368
+msgid "These are intended for tests that can be shared to test the behavior of DataFrame/Series/Index/ExtensionArray."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:371
+msgid "tests.frame.test_reductions"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:372
+msgid "tests.series.test_reductions"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:373
+msgid "tests.test_nanops"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:375
+msgid "Is your test for an indexing method? This is the most difficult case for deciding where a test belongs, because there are many of these tests, and many of them test more than one method (e.g. both ``Series.__getitem__`` and ``Series.loc.__getitem__``)"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:380
+msgid "Is the test specifically testing an Index method (e.g. ``Index.get_loc``, ``Index.get_indexer``)? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:384
+msgid "tests.indexes.test_indexing"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:385
+msgid "tests.indexes.fooindex.test_indexing"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:387
+msgid "Within that files there should be a method-specific test class e.g. ``TestGetLoc``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:390
+msgid "In most cases, neither ``Series`` nor ``DataFrame`` objects should be needed in these tests."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:393
+msgid "Is the test for a Series or DataFrame indexing method *other* than ``__getitem__`` or ``__setitem__``, e.g. ``xs``, ``where``, ``take``, ``mask``, ``lookup``, or ``insert``? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:398
+msgid "tests.frame.indexing.test_methodname"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:399
+msgid "tests.series.indexing.test_methodname"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:401
+msgid "Is the test for any of ``loc``, ``iloc``, ``at``, or ``iat``? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:404
+msgid "tests.indexing.test_loc"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:405
+msgid "tests.indexing.test_iloc"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:406
+msgid "tests.indexing.test_at"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:407
+msgid "tests.indexing.test_iat"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:409
+msgid "Within the appropriate file, test classes correspond to either types of indexers (e.g. ``TestLocBooleanMask``) or major use cases (e.g. ``TestLocSetitemWithExpansion``)."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:413
+msgid "See the note in section D) about tests that test multiple indexing methods."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:415
+msgid "Is the test for ``Series.__getitem__``, ``Series.__setitem__``, ``DataFrame.__getitem__``, or ``DataFrame.__setitem__``? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:419
+msgid "tests.series.test_getitem"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:420
+msgid "tests.series.test_setitem"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:421
+msgid "tests.frame.test_getitem"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:422
+msgid "tests.frame.test_setitem"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:424
+msgid "If many cases such a test may test multiple similar methods, e.g."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:441
+msgid "In cases like this, the test location should be based on the *underlying* method being tested. Or in the case of a test for a bugfix, the location of the actual bug. So in this example, we know that ``Series.__getitem__`` calls ``Series.loc.__getitem__``, so this is *really* a test for ``loc.__getitem__``. So this test belongs in ``tests.indexing.test_loc``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:447
+msgid "Is your test for a DataFrame or Series method?"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:449
+msgid "Is the method a plotting method? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:452
+msgid "tests.plotting"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:454
+msgid "Is the method an IO method? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:457
+msgid "tests.io"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:459
+msgid "Otherwise This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:462
+msgid "tests.series.methods.test_mymethod"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:463
+msgid "tests.frame.methods.test_mymethod"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:467
+msgid "If a test can be shared between DataFrame/Series using the ``frame_or_series`` fixture, by convention it goes in the ``tests.frame`` file."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:471
+msgid "Is your test for an Index method, not depending on Series/DataFrame? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:474
+msgid "tests.indexes"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:476
+msgid "Is your test for one of the pandas-provided ExtensionArrays (``Categorical``, ``DatetimeArray``, ``TimedeltaArray``, ``PeriodArray``, ``IntervalArray``, ``NumpyExtensionArray``, ``FloatArray``, ``BoolArray``, ``StringArray``)? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:481
+msgid "tests.arrays"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:483
+msgid "Is your test for *all* ExtensionArray subclasses (the \"EA Interface\")? This test likely belongs in one of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:486
+msgid "tests.extension"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:489
+msgid "Using ``pytest``"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:492
+msgid "Test structure"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:494
+msgid "pandas existing test structure is *mostly* class-based, meaning that you will typically find tests wrapped in a class."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:502
+msgid "We prefer a more *functional* style using the `pytest `__ framework, which offers a richer testing framework that will facilitate testing and developing. Thus, instead of writing test classes, we will write test functions like this:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:511
+msgid "Preferred ``pytest`` idioms"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:513
+msgid "Functional tests named ``def test_*`` and *only* take arguments that are either fixtures or parameters."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:514
+msgid "Use a bare ``assert`` for testing scalars and truth-testing"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:515
+msgid "Use ``tm.assert_series_equal(result, expected)`` and ``tm.assert_frame_equal(result, expected)`` for comparing :class:`Series` and :class:`DataFrame` results respectively."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:516
+msgid "Use `@pytest.mark.parameterize `__ when testing multiple cases."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:517
+msgid "Use `pytest.mark.xfail `__ when a test case is expected to fail."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:518
+msgid "Use `pytest.mark.skip `__ when a test case is never expected to pass."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:519
+msgid "Use `pytest.param `__ when a test case needs a particular mark."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:520
+msgid "Use `@pytest.fixture `__ if multiple tests can share a setup object."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:524
+msgid "Do not use ``pytest.xfail`` (which is different than ``pytest.mark.xfail``) since it immediately stops the test and does not check if the test will fail. If this is the behavior you desire, use ``pytest.skip`` instead."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:527
+msgid "If a test is known to fail but the manner in which it fails is not meant to be captured, use ``pytest.mark.xfail`` It is common to use this method for a test that exhibits buggy behavior or a non-implemented feature. If the failing test has flaky behavior, use the argument ``strict=False``. This will make it so pytest does not fail if the test happens to pass."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:533
+msgid "Prefer the decorator ``@pytest.mark.xfail`` and the argument ``pytest.param`` over usage within a test so that the test is appropriately marked during the collection phase of pytest. For xfailing a test that involves multiple parameters, a fixture, or a combination of these, it is only possible to xfail during the testing phase. To do so, use the ``request`` fixture:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:545
+msgid "xfail is not to be used for tests involving failure due to invalid user arguments. For these tests, we need to verify the correct exception type and error message is being raised, using ``pytest.raises`` instead."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:552
+msgid "Testing a warning"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:554
+msgid "Use ``tm.assert_produces_warning`` as a context manager to check that a block of code raises a warning."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:561
+msgid "If a warning should specifically not happen in a block of code, pass ``False`` into the context manager."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:568
+msgid "If you have a test that would emit a warning, but you aren't actually testing the warning itself (say because it's going to be removed in the future, or because we're matching a 3rd-party library's behavior), then use ``pytest.mark.filterwarnings`` to ignore the error."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:580
+msgid "Testing an exception"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:582
+msgid "Use `pytest.raises `_ as a context manager with the specific exception subclass (i.e. never use :py:class:`Exception`) and the exception message in ``match``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:591
+msgid "Testing involving files"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:593
+msgid "The ``tm.ensure_clean`` context manager creates a temporary file for testing, with a generated filename (or your filename if provided), that is automatically deleted when the context block is exited."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:603
+msgid "Testing involving network connectivity"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:605
+msgid "A unit test should not access a public data set over the internet due to flakiness of network connections and lack of ownership of the server that is being connected to. To mock this interaction, use the ``httpserver`` fixture from the `pytest-localserver plugin. `_ with synthetic data."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:618
+msgid "Example"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:620
+msgid "Here is an example of a self-contained set of tests in a file ``pandas/tests/test_cool_feature.py`` that illustrate multiple features that we like to use. Please remember to add the GitHub Issue Number as a comment to a new test."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:663
+msgid "A test run of this yields"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:684
+msgid "Tests that we have ``parametrized`` are now accessible via the test name, for example we could run these with ``-k int8`` to sub-select *only* those tests which match ``int8``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:701
+msgid "Using ``hypothesis``"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:703
+msgid "Hypothesis is a library for property-based testing. Instead of explicitly parametrizing a test, you can describe *all* valid inputs and let Hypothesis try to find a failing input. Even better, no matter how many random examples it tries, Hypothesis always reports a single minimal counterexample to your assertions - often an example that you would never have thought to test."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:709
+msgid "See `Getting Started with Hypothesis `_ for more of an introduction, then `refer to the Hypothesis documentation for details `_."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:729
+msgid "This test shows off several useful features of Hypothesis, as well as demonstrating a good use-case: checking properties that should hold over a large or complicated domain of inputs."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:733
+msgid "To keep the pandas test suite running quickly, parametrized tests are preferred if the inputs or logic are simple, with Hypothesis tests reserved for cases with complex logic or where there are too many combinations of options or subtle interactions to test (or think of!) all of them."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:741
+msgid "Running the test suite"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:743
+msgid "The tests can then be run directly inside your Git clone (without having to install pandas) by typing::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:750
+msgid "If a handful of tests don't pass, it may not be an issue with your pandas installation. Some tests (e.g. some SQLAlchemy ones) require additional setup, others might start failing because a non-pinned library released a new version, and others might be flaky if run in parallel. As long as you can import pandas from your locally built version, your installation is probably fine and you can start contributing!"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:756
+msgid "Often it is worth running only a subset of tests first around your changes before running the entire suite (tip: you can use the [pandas-coverage app](https://pandas-coverage-12d2130077bc.herokuapp.com/)) to find out which tests hit the lines of code you've modified, and then run only those)."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:760
+msgid "The easiest way to do this is with::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:764
+msgid "Or with one of the following constructs::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:770
+msgid "Using `pytest-xdist `_, which is included in our 'pandas-dev' environment, one can speed up local testing on multicore machines. The ``-n`` number flag then can be specified when running pytest to parallelize a test run across the number of specified cores or auto to utilize all the available cores on your machine."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:784
+msgid "If you'd like to speed things along further a more advanced use of this command would look like this"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:791
+msgid "In addition to the multithreaded performance increase this improves test speed by skipping some tests using the ``-m`` mark flag:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:794
+msgid "slow: any test taking long (think seconds rather than milliseconds)"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:795
+msgid "network: tests requiring network connectivity"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:796
+msgid "db: tests requiring a database (mysql or postgres)"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:797
+msgid "single_cpu: tests that should run on a single cpu only"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:799
+msgid "You might want to enable the following option if it's relevant for you:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:801
+msgid "arm_slow: any test taking long on arm64 architecture"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:803
+msgid "These markers are defined `in this toml file `_ , under ``[tool.pytest.ini_options]`` in a list called ``markers``, in case you want to check if new ones have been created which are of interest to you."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:807
+msgid "The ``-r`` report flag will display a short summary info (see `pytest documentation `_) . Here we are displaying the number of:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:811
+msgid "s: skipped tests"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:812
+msgid "x: xfailed tests"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:813
+msgid "X: xpassed tests"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:815
+msgid "The summary is optional and can be removed if you don't need the added information. Using the parallelization option can significantly reduce the time it takes to locally run tests before submitting a pull request."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:819
+msgid "If you require assistance with the results, which has happened in the past, please set a seed before running the command and opening a bug report, that way we can reproduce it. Here's an example for setting a seed on windows"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:829
+msgid "On Unix use"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:836
+msgid "For more, see the `pytest `_ documentation."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:838
+msgid "Furthermore one can run"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:844
+msgid "with an imported pandas to run tests similarly."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:847
+msgid "Running the performance test suite"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:849
+msgid "Performance matters and it is worth considering whether your code has introduced performance regressions. pandas is in the process of migrating to `asv benchmarks `__ to enable easy monitoring of the performance of critical pandas operations. These benchmarks are all found in the ``pandas/asv_bench`` directory, and the test results can be found `here `__."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:856
+msgid "To use all features of asv, you will need either ``conda`` or ``virtualenv``. For more details please check the `asv installation webpage `_."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:860
+msgid "To install asv::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:864
+msgid "If you need to run a benchmark, change your directory to ``asv_bench/`` and run::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:868
+msgid "You can replace ``HEAD`` with the name of the branch you are working on, and report benchmarks that changed by more than 10%. The command uses ``conda`` by default for creating the benchmark environments. If you want to use virtualenv instead, write::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:875
+msgid "The ``-E virtualenv`` option should be added to all ``asv`` commands that run benchmarks. The default value is defined in ``asv.conf.json``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:878
+msgid "Running the full benchmark suite can be an all-day process, depending on your hardware and its resource utilization. However, usually it is sufficient to paste only a subset of the results into the pull request to show that the committed changes do not cause unexpected performance regressions. You can run specific benchmarks using the ``-b`` flag, which takes a regular expression. For example, this will only run benchmarks from a ``pandas/asv_bench/benchmarks/groupby.py`` file::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:887
+msgid "If you want to only run a specific group of benchmarks from a file, you can do it using ``.`` as a separator. For example::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:892
+msgid "will only run the ``GroupByMethods`` benchmark defined in ``groupby.py``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:894
+msgid "You can also run the benchmark suite using the version of ``pandas`` already installed in your current Python environment. This can be useful if you do not have virtualenv or conda, or are using the ``setup.py develop`` approach discussed above; for the in-place build you need to set ``PYTHONPATH``, e.g. ``PYTHONPATH=\"$PWD/..\" asv [remaining arguments]``. You can run benchmarks using an existing Python environment by::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:905
+msgid "or, to use a specific Python interpreter,::"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:909
+msgid "This will display stderr from the benchmarks, and use your local ``python`` that comes from your ``$PATH``."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:912
+msgid "Information on how to write a benchmark and how to use asv can be found in the `asv documentation `_."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:916
+msgid "Documenting your code"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:918
+msgid "Changes should be reflected in the release notes located in ``doc/source/whatsnew/vx.y.z.rst``. This file contains an ongoing change log for each release. Add an entry to this file to document your fix, enhancement or (unavoidable) breaking change. Make sure to include the GitHub issue number when adding your entry (using ``:issue:`1234``` where ``1234`` is the issue/pull request number). Your entry should be written using full sentences and proper grammar."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:925
+msgid "When mentioning parts of the API, use a Sphinx ``:func:``, ``:meth:``, or ``:class:`` directive as appropriate. Not all public API functions and methods have a documentation page; ideally links would only be added if they resolve. You can usually find similar examples by checking the release notes for one of the previous versions."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:931
+msgid "If your code is a bugfix, add your entry to the relevant bugfix section. Avoid adding to the ``Other`` section; only in rare cases should entries go there. Being as concise as possible, the description of the bug should include how the user may encounter it and an indication of the bug itself, e.g. \"produces incorrect results\" or \"incorrectly raises\". It may be necessary to also indicate the new behavior."
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:938
+msgid "If your code is an enhancement, it is most likely necessary to add usage examples to the existing documentation. This can be done following the section regarding :ref:`documentation `. Further, to let users know when this feature was added, the ``versionadded`` directive is used. The sphinx syntax for that is:"
+msgstr ""
+
+#: ../../source/development/contributing_codebase.rst:948
+msgid "This will put the text *New in version 2.1.0* wherever you put the sphinx directive. This should also be put in the docstring when adding a new function or method (`example `__) or a new keyword argument (`example `__)."
+msgstr ""
diff --git a/doc/source/locale/pot/development/contributing_docstring.pot b/doc/source/locale/pot/development/contributing_docstring.pot
new file mode 100644
index 0000000000000..ac515f7e42184
--- /dev/null
+++ b/doc/source/locale/pot/development/contributing_docstring.pot
@@ -0,0 +1,639 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/contributing_docstring.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:7
+msgid "pandas docstring guide"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:10
+msgid "About docstrings and standards"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:12
+msgid "A Python docstring is a string used to document a Python module, class, function or method, so programmers can understand what it does without having to read the details of the implementation."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:16
+msgid "Also, it is a common practice to generate online (html) documentation automatically from docstrings. `Sphinx `_ serves this purpose."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:20
+msgid "The next example gives an idea of what a docstring looks like:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:59
+msgid "Some standards regarding docstrings exist, which make them easier to read, and allow them be easily exported to other formats such as html or pdf."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:62
+msgid "The first conventions every Python docstring should follow are defined in `PEP-257 `_."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:65
+msgid "As PEP-257 is quite broad, other more specific standards also exist. In the case of pandas, the NumPy docstring convention is followed. These conventions are explained in this document:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:69
+msgid "`numpydoc docstring guide `_"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:71
+msgid "numpydoc is a Sphinx extension to support the NumPy docstring convention."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:73
+msgid "The standard uses reStructuredText (reST). reStructuredText is a markup language that allows encoding styles in plain text files. Documentation about reStructuredText can be found in:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:77
+msgid "`Sphinx reStructuredText primer `_"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:78
+msgid "`Quick reStructuredText reference `_"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:79
+msgid "`Full reStructuredText specification `_"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:81
+msgid "pandas has some helpers for sharing docstrings between related classes, see :ref:`docstring.sharing`."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:84
+msgid "The rest of this document will summarize all the above guidelines, and will provide additional conventions specific to the pandas project."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:90
+msgid "Writing a docstring"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:95
+msgid "General rules"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:97
+msgid "Docstrings must be defined with three double-quotes. No blank lines should be left before or after the docstring. The text starts in the next line after the opening quotes. The closing quotes have their own line (meaning that they are not at the end of the last sentence)."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:102
+msgid "On rare occasions reST styles like bold text or italics will be used in docstrings, but is it common to have inline code, which is presented between backticks. The following are considered inline code:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:106
+msgid "The name of a parameter"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:107
+msgid "Python code, a module, function, built-in, type, literal... (e.g. ``os``, ``list``, ``numpy.abs``, ``datetime.date``, ``True``)"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:109
+msgid "A pandas class (in the form ``:class:`pandas.Series```)"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:110
+msgid "A pandas method (in the form ``:meth:`pandas.Series.sum```)"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:111
+msgid "A pandas function (in the form ``:func:`pandas.to_datetime```)"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:114
+msgid "To display only the last component of the linked class, method or function, prefix it with ``~``. For example, ``:class:`~pandas.Series``` will link to ``pandas.Series`` but only display the last part, ``Series`` as the link text. See `Sphinx cross-referencing syntax `_ for details."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:121
+#: ../../source/development/contributing_docstring.rst:172
+#: ../../source/development/contributing_docstring.rst:295
+#: ../../source/development/contributing_docstring.rst:722
+msgid "**Good:**"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:135
+#: ../../source/development/contributing_docstring.rst:184
+#: ../../source/development/contributing_docstring.rst:319
+#: ../../source/development/contributing_docstring.rst:812
+msgid "**Bad:**"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:162
+msgid "Section 1: short summary"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:164
+msgid "The short summary is a single sentence that expresses what the function does in a concise way."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:167
+msgid "The short summary must start with a capital letter, end with a dot, and fit in a single line. It needs to express what the object does without providing details. For functions and methods, the short summary must start with an infinitive verb."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:230
+msgid "Section 2: extended summary"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:232
+msgid "The extended summary provides details on what the function does. It should not go into the details of the parameters, or discuss implementation notes, which go in other sections."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:236
+msgid "A blank line is left between the short summary and the extended summary. Every paragraph in the extended summary ends with a dot."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:239
+msgid "The extended summary should provide details on why the function is useful and their use cases, if it is not too generic."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:261
+msgid "Section 3: parameters"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:263
+msgid "The details of the parameters will be added in this section. This section has the title \"Parameters\", followed by a line with a hyphen under each letter of the word \"Parameters\". A blank line is left before the section title, but not after, and not between the line with the word \"Parameters\" and the one with the hyphens."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:269
+msgid "After the title, each parameter in the signature must be documented, including ``*args`` and ``**kwargs``, but not ``self``."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:272
+msgid "The parameters are defined by their name, followed by a space, a colon, another space, and the type (or types). Note that the space between the name and the colon is important. Types are not defined for ``*args`` and ``**kwargs``, but must be defined for all other parameters. After the parameter definition, it is required to have a line with the parameter description, which is indented, and can have multiple lines. The description must start with a capital letter, and finish with a dot."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:280
+msgid "For keyword arguments with a default value, the default will be listed after a comma at the end of the type. The exact form of the type in this case will be \"int, default 0\". In some cases it may be useful to explain what the default argument means, which can be added after a comma \"int, default -1, meaning all cpus\"."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:286
+msgid "In cases where the default value is ``None``, meaning that the value will not be used. Instead of ``\"str, default None\"``, it is preferred to write ``\"str, optional\"``. When ``None`` is a value being used, we will keep the form \"str, default None\". For example, in ``df.to_csv(compression=None)``, ``None`` is not a value being used, but means that compression is optional, and no compression is being used if not provided. In this case we will use ``\"str, optional\"``. Only in cases like ``func(value=None)`` and ``None`` is being used in the same way as ``0`` or ``foo`` would be used, then we will specify \"str, int or None, default None\"."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:351
+msgid "Parameter types"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:353
+msgid "When specifying the parameter types, Python built-in data types can be used directly (the Python type is preferred to the more verbose string, integer, boolean, etc):"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:357
+msgid "int"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:358
+msgid "float"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:359
+msgid "str"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:360
+msgid "bool"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:362
+msgid "For complex types, define the subtypes. For ``dict`` and ``tuple``, as more than one type is present, we use the brackets to help read the type (curly brackets for ``dict`` and normal brackets for ``tuple``):"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:366
+msgid "list of int"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:367
+msgid "dict of {str : int}"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:368
+msgid "tuple of (str, int, int)"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:369
+msgid "tuple of (str,)"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:370
+msgid "set of str"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:372
+msgid "In case where there are just a set of values allowed, list them in curly brackets and separated by commas (followed by a space). If the values are ordinal and they have an order, list them in this order. Otherwise, list the default value first, if there is one:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:377
+msgid "{0, 10, 25}"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:378
+msgid "{'simple', 'advanced'}"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:379
+msgid "{'low', 'medium', 'high'}"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:380
+msgid "{'cat', 'dog', 'bird'}"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:382
+msgid "If the type is defined in a Python module, the module must be specified:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:384
+msgid "datetime.date"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:385
+msgid "datetime.datetime"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:386
+msgid "decimal.Decimal"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:388
+msgid "If the type is in a package, the module must be also specified:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:390
+msgid "numpy.ndarray"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:391
+msgid "scipy.sparse.coo_matrix"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:393
+msgid "If the type is a pandas type, also specify pandas except for Series and DataFrame:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:396
+msgid "Series"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:397
+msgid "DataFrame"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:398
+msgid "pandas.Index"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:399
+msgid "pandas.Categorical"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:400
+msgid "pandas.arrays.SparseArray"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:402
+msgid "If the exact type is not relevant, but must be compatible with a NumPy array, array-like can be specified. If Any type that can be iterated is accepted, iterable can be used:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:406
+msgid "array-like"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:407
+msgid "iterable"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:409
+msgid "If more than one type is accepted, separate them by commas, except the last two types, that need to be separated by the word 'or':"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:412
+msgid "int or float"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:413
+msgid "float, decimal.Decimal or None"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:414
+msgid "str or list of str"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:416
+msgid "If ``None`` is one of the accepted values, it always needs to be the last in the list."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:419
+msgid "For axis, the convention is to use something like:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:421
+msgid "axis : {0 or 'index', 1 or 'columns', None}, default None"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:426
+msgid "Section 4: returns or yields"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:428
+msgid "If the method returns a value, it will be documented in this section. Also if the method yields its output."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:431
+msgid "The title of the section will be defined in the same way as the \"Parameters\". With the names \"Returns\" or \"Yields\" followed by a line with as many hyphens as the letters in the preceding word."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:435
+msgid "The documentation of the return is also similar to the parameters. But in this case, no name will be provided, unless the method returns or yields more than one value (a tuple of values)."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:439
+msgid "The types for \"Returns\" and \"Yields\" are the same as the ones for the \"Parameters\". Also, the description must finish with a dot."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:442
+msgid "For example, with a single value:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:460
+msgid "With more than one value:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:485
+msgid "If the method yields its value:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:507
+msgid "Section 5: see also"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:509
+msgid "This section is used to let users know about pandas functionality related to the one being documented. In rare cases, if no related methods or functions can be found at all, this section can be skipped."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:513
+msgid "An obvious example would be the ``head()`` and ``tail()`` methods. As ``tail()`` does the equivalent as ``head()`` but at the end of the ``Series`` or ``DataFrame`` instead of at the beginning, it is good to let the users know about it."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:517
+msgid "To give an intuition on what can be considered related, here there are some examples:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:520
+msgid "``loc`` and ``iloc``, as they do the same, but in one case providing indices and in the other positions"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:522
+msgid "``max`` and ``min``, as they do the opposite"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:523
+msgid "``iterrows``, ``itertuples`` and ``items``, as it is easy that a user looking for the method to iterate over columns ends up in the method to iterate over rows, and vice-versa"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:526
+msgid "``fillna`` and ``dropna``, as both methods are used to handle missing values"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:527
+msgid "``read_csv`` and ``to_csv``, as they are complementary"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:528
+msgid "``merge`` and ``join``, as one is a generalization of the other"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:529
+msgid "``astype`` and ``pandas.to_datetime``, as users may be reading the documentation of ``astype`` to know how to cast as a date, and the way to do it is with ``pandas.to_datetime``"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:532
+msgid "``where`` is related to ``numpy.where``, as its functionality is based on it"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:534
+msgid "When deciding what is related, you should mainly use your common sense and think about what can be useful for the users reading the documentation, especially the less experienced ones."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:538
+msgid "When relating to other libraries (mainly ``numpy``), use the name of the module first (not an alias like ``np``). If the function is in a module which is not the main one, like ``scipy.sparse``, list the full module (e.g. ``scipy.sparse.coo_matrix``)."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:543
+msgid "This section has a header, \"See Also\" (note the capital S and A), followed by the line with hyphens and preceded by a blank line."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:546
+msgid "After the header, we will add a line for each related method or function, followed by a space, a colon, another space, and a short description that illustrates what this method or function does, why is it relevant in this context, and what the key differences are between the documented function and the one being referenced. The description must also end with a dot."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:552
+msgid "Note that in \"Returns\" and \"Yields\", the description is located on the line after the type. In this section, however, it is located on the same line, with a colon in between. If the description does not fit on the same line, it can continue onto other lines which must be further indented."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:557
+msgid "For example:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:585
+msgid "Section 6: notes"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:587
+msgid "This is an optional section used for notes about the implementation of the algorithm, or to document technical aspects of the function behavior."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:590
+msgid "Feel free to skip it, unless you are familiar with the implementation of the algorithm, or you discover some counter-intuitive behavior while writing the examples for the function."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:594
+msgid "This section follows the same format as the extended summary section."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:599
+msgid "Section 7: examples"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:601
+msgid "This is one of the most important sections of a docstring, despite being placed in the last position, as often people understand concepts better by example than through accurate explanations."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:605
+msgid "Examples in docstrings, besides illustrating the usage of the function or method, must be valid Python code, that returns the given output in a deterministic way, and that can be copied and run by users."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:609
+msgid "Examples are presented as a session in the Python terminal. ``>>>`` is used to present code. ``...`` is used for code continuing from the previous line. Output is presented immediately after the last line of code generating the output (no blank lines in between). Comments describing the examples can be added with blank lines before and after them."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:615
+msgid "The way to present examples is as follows:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:617
+msgid "Import required libraries (except ``numpy`` and ``pandas``)"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:619
+msgid "Create the data required for the example"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:621
+msgid "Show a very basic example that gives an idea of the most common use case"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:623
+msgid "Add examples with explanations that illustrate how the parameters can be used for extended functionality"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:626
+msgid "A simple example could be:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:675
+msgid "The examples should be as concise as possible. In cases where the complexity of the function requires long examples, is recommended to use blocks with headers in bold. Use double star ``**`` to make a text bold, like in ``**this example**``."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:682
+msgid "Conventions for the examples"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:684
+msgid "Code in examples is assumed to always start with these two lines which are not shown:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:692
+msgid "Any other module used in the examples must be explicitly imported, one per line (as recommended in :pep:`8#imports`) and avoiding aliases. Avoid excessive imports, but if needed, imports from the standard library go first, followed by third-party libraries (like matplotlib)."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:698
+msgid "When illustrating examples with a single ``Series`` use the name ``ser``, and if illustrating with a single ``DataFrame`` use the name ``df``. For indices, ``idx`` is the preferred name. If a set of homogeneous ``Series`` or ``DataFrame`` is used, name them ``ser1``, ``ser2``, ``ser3``... or ``df1``, ``df2``, ``df3``... If the data is not homogeneous, and more than one structure is needed, name them with something meaningful, for example ``df_main`` and ``df_to_join``."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:706
+msgid "Data used in the example should be as compact as possible. The number of rows is recommended to be around 4, but make it a number that makes sense for the specific example. For example in the ``head`` method, it requires to be higher than 5, to show the example with the default values. If doing the ``mean``, we could use something like ``[1, 2, 3]``, so it is easy to see that the value returned is the mean."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:713
+msgid "For more complex examples (grouping for example), avoid using data without interpretation, like a matrix of random numbers with columns A, B, C, D... And instead use a meaningful example, which makes it easier to understand the concept. Unless required by the example, use names of animals, to keep examples consistent. And numerical properties of them."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:719
+msgid "When calling the method, keywords arguments ``head(n=3)`` are preferred to positional arguments ``head(3)``."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:850
+msgid "Tips for getting your examples pass the doctests"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:852
+msgid "Getting the examples pass the doctests in the validation script can sometimes be tricky. Here are some attention points:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:855
+msgid "Import all needed libraries (except for pandas and NumPy, those are already imported as ``import pandas as pd`` and ``import numpy as np``) and define all variables you use in the example."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:859
+msgid "Try to avoid using random data. However random data might be OK in some cases, like if the function you are documenting deals with probability distributions, or if the amount of data needed to make the function result meaningful is too much, such that creating it manually is very cumbersome. In those cases, always use a fixed random seed to make the generated examples predictable. Example::"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:869
+msgid "If you have a code snippet that wraps multiple lines, you need to use '...' on the continued lines: ::"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:875
+msgid "If you want to show a case where an exception is raised, you can do::"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:881
+msgid "It is essential to include the \"Traceback (most recent call last):\", but for the actual error only the error name is sufficient."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:884
+msgid "If there is a small part of the result that can vary (e.g. a hash in an object representation), you can use ``...`` to represent this part."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:887
+msgid "If you want to show that ``s.plot()`` returns a matplotlib AxesSubplot object, this will fail the doctest ::"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:893
+msgid "However, you can do (notice the comment that needs to be added) ::"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:902
+msgid "Plots in examples"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:904
+msgid "There are some methods in pandas returning plots. To render the plots generated by the examples in the documentation, the ``.. plot::`` directive exists."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:907
+msgid "To use it, place the next code after the \"Examples\" header as shown below. The plot will be generated automatically when building the documentation."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:931
+msgid "Sharing docstrings"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:933
+msgid "pandas has a system for sharing docstrings, with slight variations, between classes. This helps us keep docstrings consistent, while keeping things clear for the user reading. It comes at the cost of some complexity when writing."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:937
+msgid "Each shared docstring will have a base template with variables, like ``{klass}``. The variables filled in later on using the ``doc`` decorator. Finally, docstrings can also be appended to with the ``doc`` decorator."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:941
+msgid "In this example, we'll create a parent docstring normally (this is like ``pandas.core.generic.NDFrame``. Then we'll have two children (like ``pandas.core.series.Series`` and ``pandas.core.frame.DataFrame``). We'll substitute the class names in this docstring."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:966
+msgid "The resulting docstrings are"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:977
+msgid "Notice:"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:979
+msgid "We \"append\" the parent docstring to the children docstrings, which are initially empty."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:982
+msgid "Our files will often contain a module-level ``_shared_doc_kwargs`` with some common substitution values (things like ``klass``, ``axes``, etc)."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:985
+msgid "You can substitute and append in one shot with something like"
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:993
+msgid "where ``template`` may come from a module-level ``_shared_docs`` dictionary mapping function names to docstrings. Wherever possible, we prefer using ``doc``, since the docstring-writing processes is slightly closer to normal."
+msgstr ""
+
+#: ../../source/development/contributing_docstring.rst:997
+msgid "See ``pandas.core.generic.NDFrame.fillna`` for an example template, and ``pandas.core.series.Series.fillna`` and ``pandas.core.generic.frame.fillna`` for the filled versions."
+msgstr ""
diff --git a/doc/source/locale/pot/development/contributing_documentation.pot b/doc/source/locale/pot/development/contributing_documentation.pot
new file mode 100644
index 0000000000000..d39c1fefe78c3
--- /dev/null
+++ b/doc/source/locale/pot/development/contributing_documentation.pot
@@ -0,0 +1,193 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/contributing_documentation.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:7
+msgid "Contributing to the documentation"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:9
+msgid "Contributing to the documentation benefits everyone who uses pandas. We encourage you to help us improve the documentation, and you don't have to be an expert on pandas to do so! In fact, there are sections of the docs that are worse off after being written by experts. If something in the docs doesn't make sense to you, updating the relevant section after you figure it out is a great way to ensure it will help the next person. Please visit the `issues page `__ for a full list of issues that are currently open regarding the Pandas documentation."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:23
+msgid "Documentation:"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:26
+msgid "About the pandas documentation"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:28
+msgid "The documentation is written in **reStructuredText**, which is almost like writing in plain English, and built using `Sphinx `__. The Sphinx Documentation has an excellent `introduction to reST `__. Review the Sphinx docs to perform more complex changes to the documentation as well."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:34
+msgid "Some other important things to know about the docs:"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:36
+msgid "The pandas documentation consists of two parts: the docstrings in the code itself and the docs in this folder ``doc/``."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:39
+msgid "The docstrings provide a clear explanation of the usage of the individual functions, while the documentation in this folder consists of tutorial-like overviews per topic together with some other information (what's new, installation, etc)."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:44
+msgid "The docstrings follow a pandas convention, based on the **Numpy Docstring Standard**. Follow the :ref:`pandas docstring guide ` for detailed instructions on how to write a correct docstring."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:53
+msgid "The tutorials make heavy use of the `IPython directive `_ sphinx extension. This directive lets you put code in the documentation which will be run during the doc build. For example::"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:63
+msgid "will be rendered as::"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:70
+msgid "Almost all code examples in the docs are run (and the output saved) during the doc build. This approach means that code examples will always be up to date, but it does make the doc building a bit more complex."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:74
+msgid "Our API documentation files in ``doc/source/reference`` house the auto-generated documentation from the docstrings. For classes, there are a few subtleties around controlling which methods and attributes have pages auto-generated."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:78
+msgid "We have two autosummary templates for classes."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:80
+msgid "``_templates/autosummary/class.rst``. Use this when you want to automatically generate a page for every public method and attribute on the class. The ``Attributes`` and ``Methods`` sections will be automatically added to the class' rendered documentation by numpydoc. See ``DataFrame`` for an example."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:86
+msgid "``_templates/autosummary/class_without_autosummary``. Use this when you want to pick a subset of methods / attributes to auto-generate pages for. When using this template, you should include an ``Attributes`` and ``Methods`` section in the class docstring. See ``CategoricalIndex`` for an example."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:92
+msgid "Every method should be included in a ``toctree`` in one of the documentation files in ``doc/source/reference``, else Sphinx will emit a warning."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:96
+msgid "The utility script ``scripts/validate_docstrings.py`` can be used to get a csv summary of the API documentation. And also validate common errors in the docstring of a specific class, function or method. The summary also compares the list of methods documented in the files in ``doc/source/reference`` (which is used to generate the `API Reference `_ page) and the actual public methods. This will identify methods documented in ``doc/source/reference`` that are not actually class methods, and existing methods that are not documented in ``doc/source/reference``."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:107
+msgid "Updating a pandas docstring"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:109
+msgid "When improving a single function or method's docstring, it is not necessarily needed to build the full documentation (see next section). However, there is a script that checks a docstring (for example for the ``DataFrame.mean`` method)::"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:115
+msgid "This script will indicate some formatting errors if present, and will also run and test the examples included in the docstring. Check the :ref:`pandas docstring guide ` for a detailed guide on how to format the docstring."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:120
+msgid "The examples in the docstring ('doctests') must be valid Python code, that in a deterministic way returns the presented output, and that can be copied and run by users. This can be checked with the script above, and is also tested on Travis. A failing doctest will be a blocker for merging a PR. Check the :ref:`examples ` section in the docstring guide for some tips and tricks to get the doctests passing."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:127
+msgid "When doing a PR with a docstring update, it is good to post the output of the validation script in a comment on github."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:133
+msgid "How to build the pandas documentation"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:136
+msgid "Requirements"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:138
+msgid "First, you need to have a development environment to be able to build pandas (see the docs on :ref:`creating a development environment `)."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:142
+msgid "Building the documentation"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:144
+msgid "So how do you build the docs? Navigate to your local ``doc/`` directory in the console and run::"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:149
+msgid "Then you can find the HTML output in the folder ``doc/build/html/``."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:151
+msgid "The first time you build the docs, it will take quite a while because it has to run all the code examples and build all the generated docstring pages. In subsequent evocations, sphinx will try to only build the pages that have been modified."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:155
+msgid "If you want to do a full clean build, do::"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:160
+msgid "You can tell ``make.py`` to compile only a single section of the docs, greatly reducing the turn-around time for checking your changes."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:182
+msgid "For comparison, a full documentation build may take 15 minutes, but a single section may take 15 seconds. Subsequent builds, which only process portions you have changed, will be faster."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:186
+msgid "The build will automatically use the number of cores available on your machine to speed up the documentation build. You can override this::"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:191
+msgid "Open the following file in a web browser to see the full documentation you just built ``doc/build/html/index.html``."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:194
+msgid "And you'll have the satisfaction of seeing your new and improved documentation!"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:199
+msgid "Building main branch documentation"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:201
+msgid "When pull requests are merged into the pandas ``main`` branch, the main parts of the documentation are also built by Travis-CI. These docs are then hosted `here `__, see also the :any:`Continuous Integration ` section."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:207
+msgid "Previewing changes"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:209
+msgid "Once, the pull request is submitted, GitHub Actions will automatically build the documentation. To view the built site:"
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:212
+msgid "Wait for the ``CI / Web and docs`` check to complete."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:213
+msgid "Click ``Details`` next to it."
+msgstr ""
+
+#: ../../source/development/contributing_documentation.rst:214
+msgid "From the ``Artifacts`` drop-down, click ``docs`` or ``website`` to download the site as a ZIP file."
+msgstr ""
diff --git a/doc/source/locale/pot/development/contributing_environment.pot b/doc/source/locale/pot/development/contributing_environment.pot
new file mode 100644
index 0000000000000..85c818385b687
--- /dev/null
+++ b/doc/source/locale/pot/development/contributing_environment.pot
@@ -0,0 +1,278 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/contributing_environment.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:7
+msgid "Creating a development environment"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:9
+msgid "To test out code changes, you'll need to build pandas from source, which requires a C/C++ compiler and Python environment. If you're making documentation changes, you can skip to :ref:`contributing to the documentation ` but if you skip creating the development environment you won't be able to build the documentation locally before pushing your changes. It's recommended to also install the :ref:`pre-commit hooks `."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:22
+msgid "Step 1: install a C compiler"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:24
+msgid "How to do this will depend on your platform. If you choose to use ``Docker`` or ``GitPod`` in the next step, then you can skip this step."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:27
+#: ../../source/development/contributing_environment.rst:140
+msgid "**Windows**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:29
+msgid "You will need `Build Tools for Visual Studio 2022 `_."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:33
+msgid "You DO NOT need to install Visual Studio 2022. You only need \"Build Tools for Visual Studio 2022\" found by scrolling down to \"All downloads\" -> \"Tools for Visual Studio\". In the installer, select the \"Desktop development with C++\" Workloads."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:38
+msgid "Alternatively, you can install the necessary components on the commandline using `vs_BuildTools.exe `_"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:41
+msgid "Alternatively, you could use the `WSL `_ and consult the ``Linux`` instructions below."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:44
+msgid "**macOS**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:46
+msgid "To use the :ref:`mamba `-based compilers, you will need to install the Developer Tools using ``xcode-select --install``. Otherwise information about compiler installation can be found here: https://devguide.python.org/setup/#macos"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:51
+msgid "**Linux**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:53
+msgid "For Linux-based :ref:`mamba ` installations, you won't have to install any additional components outside of the mamba environment. The instructions below are only needed if your setup isn't based on mamba environments."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:57
+msgid "Some Linux distributions will come with a pre-installed C compiler. To find out which compilers (and versions) are installed on your system::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:65
+msgid "`GCC (GNU Compiler Collection) `_, is a widely used compiler, which supports C and a number of other languages. If GCC is listed as an installed compiler nothing more is required."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:69
+msgid "If no C compiler is installed, or you wish to upgrade, or you're using a different Linux distribution, consult your favorite search engine for compiler installation/update instructions."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:73
+msgid "Let us know if you have any difficulties by opening an issue or reaching out on our contributor community :ref:`Slack `."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:77
+msgid "Step 2: create an isolated environment"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:79
+msgid "Before we begin, please:"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:81
+msgid "Make sure that you have :any:`cloned the repository `"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:82
+msgid "``cd`` to the pandas source directory you just created with the clone command"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:87
+msgid "Option 1: using mamba (recommended)"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:89
+msgid "Install `mamba `_"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:90
+msgid "Make sure your mamba is up to date (``mamba update mamba``)"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:101
+msgid "Option 2: using pip"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:103
+msgid "You'll need to have at least the :ref:`minimum Python version ` that pandas supports. You also need to have ``setuptools`` 51.0.0 or later to build pandas."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:106
+msgid "**Unix**/**macOS with virtualenv**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:121
+msgid "**Unix**/**macOS with pyenv**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:123
+msgid "Consult the docs for setting up pyenv `here `__."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:142
+msgid "Below is a brief overview on how to set-up a virtual environment with Powershell under Windows. For details please refer to the `official virtualenv user guide `__."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:146
+msgid "Use an ENV_DIR of your choice. We'll use ``~\\\\virtualenvs\\\\pandas-dev`` where ``~`` is the folder pointed to by either ``$env:USERPROFILE`` (Powershell) or ``%USERPROFILE%`` (cmd.exe) environment variable. Any parent directories should already exist."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:163
+msgid "Option 3: using Docker"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:165
+msgid "pandas provides a ``DockerFile`` in the root directory to build a Docker image with a full pandas development environment."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:168
+msgid "**Docker Commands**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:170
+msgid "Build the Docker image::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:175
+msgid "Run Container::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:182
+msgid "*Even easier, you can integrate Docker with the following IDEs:*"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:184
+msgid "**Visual Studio Code**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:186
+msgid "You can use the DockerFile to launch a remote session with Visual Studio Code, a popular free IDE, using the ``.devcontainer.json`` file. See https://code.visualstudio.com/docs/remote/containers for details."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:190
+msgid "**PyCharm (Professional)**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:192
+msgid "Enable Docker support and use the Services tool window to build and manage images as well as run and interact with containers. See https://www.jetbrains.com/help/pycharm/docker.html for details."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:197
+msgid "Option 4: using Gitpod"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:199
+msgid "Gitpod is an open-source platform that automatically creates the correct development environment right in your browser, reducing the need to install local development environments and deal with incompatible dependencies."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:203
+msgid "If you are a Windows user, unfamiliar with using the command line or building pandas for the first time, it is often faster to build with Gitpod. Here are the in-depth instructions for :ref:`building pandas with GitPod `."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:208
+msgid "Step 3: build and install pandas"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:210
+msgid "There are currently two supported ways of building pandas, pip/meson and setuptools(setup.py). Historically, pandas has only supported using setuptools to build pandas. However, this method requires a lot of convoluted code in setup.py and also has many issues in compiling pandas in parallel due to limitations in setuptools."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:215
+msgid "The newer build system, invokes the meson backend through pip (via a `PEP 517 `_ build). It automatically uses all available cores on your CPU, and also avoids the need for manual rebuilds by rebuilding automatically whenever pandas is imported(with an editable install)."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:219
+msgid "For these reasons, you should compile pandas with meson. Because the meson build system is newer, you may find bugs/minor issues as it matures. You can report these bugs `here `_."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:223
+msgid "To compile pandas with meson, run::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:231
+msgid "**Build options**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:233
+msgid "It is possible to pass options from the pip frontend to the meson backend if you would like to configure your install. Occasionally, you'll want to use this to adjust the build directory, and/or toggle debug/optimization levels."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:236
+msgid "You can pass a build directory to pandas by appending ``--config-settings builddir=\"your builddir here\"`` to your pip command. This option allows you to configure where meson stores your built C extensions, and allows for fast rebuilds."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:239
+msgid "Sometimes, it might be useful to compile pandas with debugging symbols, when debugging C extensions. Appending ``--config-settings setup-args=\"-Ddebug=true\"`` will do the trick."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:242
+msgid "With pip, it is possible to chain together multiple config settings (for example specifying both a build directory and building with debug symbols would look like ``--config-settings builddir=\"your builddir here\" --config-settings=setup-args=\"-Dbuildtype=debug\"``."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:246
+msgid "**Compiling pandas with setup.py**"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:249
+msgid "This method of compiling pandas will be deprecated and removed very soon, as the meson backend matures."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:251
+msgid "To compile pandas with setuptools, run::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:256
+msgid "If pandas is already installed (via meson), you have to uninstall it first::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:260
+msgid "This is because python setup.py develop will not uninstall the loader script that ``meson-python`` uses to import the extension from the build folder, which may cause errors such as an ``FileNotFoundError`` to be raised."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:265
+msgid "You will need to repeat this step each time the C extensions change, for example if you modified any file in ``pandas/_libs`` or if you did a fetch and merge from ``upstream/main``."
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:268
+msgid "At this point you should be able to import pandas from your locally built version::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:275
+msgid "When building pandas with meson, importing pandas will automatically trigger a rebuild, even when C/Cython files are modified. By default, no output will be produced by this rebuild (the import will just take longer). If you would like to see meson's output when importing pandas, you can set the environment variable ``MESONPY_EDTIABLE_VERBOSE``. For example, this would be::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:286
+msgid "If you would like to see this verbose output every time, you can set the ``editable-verbose`` config setting to ``true`` like so::"
+msgstr ""
+
+#: ../../source/development/contributing_environment.rst:291
+msgid "If you ever find yourself wondering whether setuptools or meson was used to build your pandas, you can check the value of ``pandas._built_with_meson``, which will be true if meson was used to compile pandas."
+msgstr ""
diff --git a/doc/source/locale/pot/development/contributing_gitpod.pot b/doc/source/locale/pot/development/contributing_gitpod.pot
new file mode 100644
index 0000000000000..4e9411db65f91
--- /dev/null
+++ b/doc/source/locale/pot/development/contributing_gitpod.pot
@@ -0,0 +1,365 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/contributing_gitpod.rst:4
+msgid "Using Gitpod for pandas development"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:6
+msgid "This section of the documentation will guide you through:"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:8
+msgid "using Gitpod for your pandas development environment"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:9
+msgid "creating a personal fork of the pandas repository on GitHub"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:10
+msgid "a quick tour of pandas and VSCode"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:11
+msgid "working on the pandas documentation in Gitpod"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:14
+msgid "Gitpod"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:16
+msgid "`Gitpod`_ is an open-source platform for automated and ready-to-code development environments. It enables developers to describe their dev environment as code and start instant and fresh development environments for each new task directly from your browser. This reduces the need to install local development environments and deal with incompatible dependencies."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:24
+msgid "Gitpod GitHub integration"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:26
+msgid "To be able to use Gitpod, you will need to have the Gitpod app installed on your GitHub account, so if you do not have an account yet, you will need to create one first."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:30
+msgid "To get started just login at `Gitpod`_, and grant the appropriate permissions to GitHub."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:32
+msgid "We have built a python 3.10 environment and all development dependencies will install when the environment starts."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:37
+msgid "Forking the pandas repository"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:39
+msgid "The best way to work on pandas as a contributor is by making a fork of the repository first."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:42
+msgid "Browse to the `pandas repository on GitHub`_ and `create your own fork`_."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:44
+msgid "Browse to your fork. Your fork will have a URL like https://github.com/noatamir/pandas-dev, except with your GitHub username in place of ``noatamir``."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:49
+msgid "Starting Gitpod"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:50
+msgid "Once you have authenticated to Gitpod through GitHub, you can install the `Gitpod Chromium or Firefox browser extension `_ which will add a **Gitpod** button next to the **Code** button in the repository:"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:-1
+msgid "pandas repository with Gitpod button screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:58
+msgid "If you install the extension - you can click the **Gitpod** button to start a new workspace."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:61
+msgid "Alternatively, if you do not want to install the browser extension, you can visit https://gitpod.io/#https://github.com/USERNAME/pandas replacing ``USERNAME`` with your GitHub username."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:65
+msgid "In both cases, this will open a new tab on your web browser and start building your development environment. Please note this can take a few minutes."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:69
+msgid "Once the build is complete, you will be directed to your workspace, including the VSCode editor and all the dependencies you need to work on pandas. The first time you start your workspace, you will notice that there might be some actions running. This will ensure that you have a development version of pandas installed."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:75
+msgid "When your workspace is ready, you can :ref:`test the build` by entering::"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:80
+msgid "Note that this command takes a while to run, so once you've confirmed it's running you may want to cancel it using ctrl-c."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:83
+msgid "Quick workspace tour"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:84
+msgid "Gitpod uses VSCode as the editor. If you have not used this editor before, you can check the Getting started `VSCode docs`_ to familiarize yourself with it."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:87
+msgid "Your workspace will look similar to the image below:"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:-1
+msgid "Gitpod workspace screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:92
+msgid "We have marked some important sections in the editor:"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:94
+msgid "Your current Python interpreter - by default, this is ``pandas-dev`` and should be displayed in the status bar and on your terminal. You do not need to activate the conda environment as this will always be activated for you."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:97
+msgid "Your current branch is always displayed in the status bar. You can also use this button to change or create branches."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:99
+msgid "GitHub Pull Requests extension - you can use this to work with Pull Requests from your workspace."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:101
+msgid "Marketplace extensions - we have added some essential extensions to the pandas Gitpod. Still, you can also install other extensions or syntax highlighting themes for your user, and these will be preserved for you."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:104
+msgid "Your workspace directory - by default, it is ``/workspace/pandas-dev``. **Do not change this** as this is the only directory preserved in Gitpod."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:107
+msgid "We have also pre-installed a few tools and VSCode extensions to help with the development experience:"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:110
+msgid "`VSCode rst extension `_"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:111
+msgid "`Markdown All in One `_"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:112
+msgid "`VSCode Gitlens extension `_"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:113
+msgid "`VSCode Git Graph extension `_"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:116
+msgid "Development workflow with Gitpod"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:117
+msgid "The :ref:`contributing` section of this documentation contains information regarding the pandas development workflow. Make sure to check this before working on your contributions."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:121
+msgid "When using Gitpod, git is pre configured for you:"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:123
+msgid "You do not need to configure your git username, and email as this should be done for you as you authenticated through GitHub. Unless you are using GitHub feature to keep email address private. You can check the git configuration with the command ``git config --list`` in your terminal. Use ``git config --global user.email “your-secret-email@users.noreply.github.com”`` to set your email address to the one you use to make commits with your github profile."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:130
+msgid "As you started your workspace from your own pandas fork, you will by default have both ``upstream`` and ``origin`` added as remotes. You can verify this by typing ``git remote`` on your terminal or by clicking on the **branch name** on the status bar (see image below)."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:0
+msgid "Gitpod workspace branches plugin screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:139
+msgid "Rendering the pandas documentation"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:140
+msgid "You can find the detailed documentation on how rendering the documentation with Sphinx works in the :ref:`contributing.howto-build-docs` section. To build the full docs you need to run the following command in the ``/doc`` directory::"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:147
+msgid "Alternatively you can build a single page with::"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:151
+msgid "You have two main options to render the documentation in Gitpod."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:154
+msgid "Option 1: using Liveserve"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:156
+msgid "View the documentation in ``pandas/doc/build/html``."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:157
+msgid "To see the rendered version of a page, you can right-click on the ``.html`` file and click on **Open with Live Serve**. Alternatively, you can open the file in the editor and click on the **Go live** button on the status bar."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:161
+msgid "Gitpod workspace VSCode start live serve screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:164
+msgid "A simple browser will open to the right-hand side of the editor. We recommend closing it and click on the **Open in browser** button in the pop-up."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:166
+msgid "To stop the server click on the **Port: 5500** button on the status bar."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:169
+msgid "Option 2: using the rst extension"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:171
+msgid "A quick and easy way to see live changes in a ``.rst`` file as you work on it uses the rst extension with docutils."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:174
+msgid "This will generate a simple live preview of the document without the ``html`` theme, and some backlinks might not be added correctly. But it is an easy and lightweight way to get instant feedback on your work, without building the html files."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:179
+msgid "Open any of the source documentation files located in ``doc/source`` in the editor."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:181
+msgid "Open VSCode Command Palette with :kbd:`Cmd-Shift-P` in Mac or :kbd:`Ctrl-Shift-P` in Linux and Windows. Start typing \"restructured\" and choose either \"Open preview\" or \"Open preview to the Side\"."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:185
+msgid "Gitpod workspace VSCode open rst screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:188
+msgid "As you work on the document, you will see a live rendering of it on the editor."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:190
+msgid "Gitpod workspace VSCode rst rendering screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:193
+msgid "If you want to see the final output with the ``html`` theme you will need to rebuild the docs with ``make html`` and use Live Serve as described in option 1."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:197
+msgid "FAQ's and troubleshooting"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:200
+msgid "How long is my Gitpod workspace kept for?"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:202
+msgid "Your stopped workspace will be kept for 14 days and deleted afterwards if you do not use them."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:206
+msgid "Can I come back to a previous workspace?"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:208
+msgid "Yes, let's say you stepped away for a while and you want to carry on working on your pandas contributions. You need to visit https://gitpod.io/workspaces and click on the workspace you want to spin up again. All your changes will be there as you last left them."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:214
+msgid "Can I install additional VSCode extensions?"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:216
+msgid "Absolutely! Any extensions you installed will be installed in your own workspace and preserved."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:220
+msgid "I registered on Gitpod but I still cannot see a ``Gitpod`` button in my repositories."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:222
+msgid "Head to https://gitpod.io/integrations and make sure you are logged in. Hover over GitHub and click on the three buttons that appear on the right. Click on edit permissions and make sure you have ``user:email``, ``read:user``, and ``public_repo`` checked. Click on **Update Permissions** and confirm the changes in the GitHub application page."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:-1
+msgid "Gitpod integrations - edit GH permissions screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:232
+msgid "How long does my workspace stay active if I'm not using it?"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:234
+msgid "If you keep your workspace open in a browser tab but don't interact with it, it will shut down after 30 minutes. If you close the browser tab, it will shut down after 3 minutes."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:239
+msgid "My terminal is blank - there is no cursor and it's completely unresponsive"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:241
+msgid "Unfortunately this is a known-issue on Gitpod's side. You can sort this issue in two ways:"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:244
+msgid "Create a new Gitpod workspace altogether."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:245
+msgid "Head to your `Gitpod dashboard `_ and locate the running workspace. Hover on it and click on the **three dots menu** and then click on **Stop**. When the workspace is completely stopped you can click on its name to restart it again."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:-1
+msgid "Gitpod dashboard and workspace menu screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:254
+msgid "I authenticated through GitHub but I still cannot commit to the repository through Gitpod."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:256
+msgid "Head to https://gitpod.io/integrations and make sure you are logged in. Hover over GitHub and click on the three buttons that appear on the right. Click on edit permissions and make sure you have ``public_repo`` checked. Click on **Update Permissions** and confirm the changes in the GitHub application page."
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:-1
+msgid "Gitpod integrations - edit GH repository permissions screenshot"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:266
+msgid "Acknowledgments"
+msgstr ""
+
+#: ../../source/development/contributing_gitpod.rst:268
+msgid "This page is lightly adapted from the `NumPy`_ project ."
+msgstr ""
diff --git a/doc/source/locale/pot/development/copy_on_write.pot b/doc/source/locale/pot/development/copy_on_write.pot
new file mode 100644
index 0000000000000..205591ceef344
--- /dev/null
+++ b/doc/source/locale/pot/development/copy_on_write.pot
@@ -0,0 +1,49 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/copy_on_write.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/copy_on_write.rst:7
+msgid "Copy on write"
+msgstr ""
+
+#: ../../source/development/copy_on_write.rst:9
+msgid "Copy on Write is a mechanism to simplify the indexing API and improve performance through avoiding copies if possible. CoW means that any DataFrame or Series derived from another in any way always behaves as a copy. An explanation on how to use Copy on Write efficiently can be found :ref:`here `."
+msgstr ""
+
+#: ../../source/development/copy_on_write.rst:16
+msgid "Reference tracking"
+msgstr ""
+
+#: ../../source/development/copy_on_write.rst:18
+msgid "To be able to determine if we have to make a copy when writing into a DataFrame, we have to be aware if the values are shared with another DataFrame. pandas keeps track of all ``Blocks`` that share values with another block internally to be able to tell when a copy needs to be triggered. The reference tracking mechanism is implemented on the Block level."
+msgstr ""
+
+#: ../../source/development/copy_on_write.rst:24
+msgid "We use a custom reference tracker object, ``BlockValuesRefs``, that keeps track of every block, whose values share memory with each other. The reference is held through a weak-reference. Every pair of blocks that share some memory should point to the same ``BlockValuesRefs`` object. If one block goes out of scope, the reference to this block dies. As a consequence, the reference tracker object always knows how many blocks are alive and share memory."
+msgstr ""
+
+#: ../../source/development/copy_on_write.rst:31
+msgid "Whenever a :class:`DataFrame` or :class:`Series` object is sharing data with another object, it is required that each of those objects have its own BlockManager and Block objects. Thus, in other words, one Block instance (that is held by a DataFrame, not necessarily for intermediate objects) should always be uniquely used for only a single DataFrame/Series object. For example, when you want to use the same Block for another object, you can create a shallow copy of the Block instance with ``block.copy(deep=False)`` (which will create a new Block instance with the same underlying values and which will correctly set up the references)."
+msgstr ""
+
+#: ../../source/development/copy_on_write.rst:40
+msgid "We can ask the reference tracking object if there is another block alive that shares data with us before writing into the values. We can trigger a copy before writing if there is in fact another block alive."
+msgstr ""
diff --git a/doc/source/locale/pot/development/debugging_extensions.pot b/doc/source/locale/pot/development/debugging_extensions.pot
new file mode 100644
index 0000000000000..c97864739407f
--- /dev/null
+++ b/doc/source/locale/pot/development/debugging_extensions.pot
@@ -0,0 +1,69 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/debugging_extensions.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:7
+msgid "Debugging C extensions"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:9
+msgid "Pandas uses Cython and C/C++ `extension modules `_ to optimize performance. Unfortunately, the standard Python debugger does not allow you to step into these extensions. Cython extensions can be debugged with the `Cython debugger `_ and C/C++ extensions can be debugged using the tools shipped with your platform's compiler."
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:11
+msgid "For Python developers with limited or no C/C++ experience this can seem a daunting task. Core developer Will Ayd has written a 3 part blog series to help guide you from the standard Python debugger into these other tools:"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:13
+msgid "`Fundamental Python Debugging Part 1 - Python `_"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:14
+msgid "`Fundamental Python Debugging Part 2 - Python Extensions `_"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:15
+msgid "`Fundamental Python Debugging Part 3 - Cython Extensions `_"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:18
+msgid "Generating debug builds"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:20
+msgid "By default building pandas from source will generate a release build. To generate a development build you can type::"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:24
+msgid "By specifying ``builddir=\"debug\"`` all of the targets will be built and placed in the debug directory relative to the project root. This helps to keep your debug and release artifacts separate; you are of course able to choose a different directory name or omit altogether if you do not care to separate build types."
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:27
+msgid "Editor support"
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:29
+msgid "The meson build system generates a `compilation database `_ automatically and places it in the build directory. Many language servers and IDEs can use this information to provide code-completion, go-to-defintion and error checking support as you type."
+msgstr ""
+
+#: ../../source/development/debugging_extensions.rst:31
+msgid "How each language server / IDE chooses to look for the compilation database may vary. When in doubt you may want to create a symlink at the root of the project that points to the compilation database in your build directory. Assuming you used *debug* as your directory name, you can run::"
+msgstr ""
diff --git a/doc/source/locale/pot/development/developer.pot b/doc/source/locale/pot/development/developer.pot
new file mode 100644
index 0000000000000..9c81b07af81f5
--- /dev/null
+++ b/doc/source/locale/pot/development/developer.pot
@@ -0,0 +1,165 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/developer.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/developer.rst:9
+msgid "Developer"
+msgstr ""
+
+#: ../../source/development/developer.rst:11
+msgid "This section will focus on downstream applications of pandas."
+msgstr ""
+
+#: ../../source/development/developer.rst:16
+msgid "Storing pandas DataFrame objects in Apache Parquet format"
+msgstr ""
+
+#: ../../source/development/developer.rst:18
+msgid "The `Apache Parquet `__ format provides key-value metadata at the file and column level, stored in the footer of the Parquet file:"
+msgstr ""
+
+#: ../../source/development/developer.rst:26
+msgid "where ``KeyValue`` is"
+msgstr ""
+
+#: ../../source/development/developer.rst:35
+msgid "So that a ``pandas.DataFrame`` can be faithfully reconstructed, we store a ``pandas`` metadata key in the ``FileMetaData`` with the value stored as :"
+msgstr ""
+
+#: ../../source/development/developer.rst:49
+msgid "The \"descriptor\" values ```` in the ``'index_columns'`` field are strings (referring to a column) or dictionaries with values as described below."
+msgstr ""
+
+#: ../../source/development/developer.rst:52
+msgid "The ````/```` and so forth are dictionaries containing the metadata for each column, *including the index columns*. This has JSON form:"
+msgstr ""
+
+#: ../../source/development/developer.rst:63
+msgid "See below for the detailed specification for these."
+msgstr ""
+
+#: ../../source/development/developer.rst:66
+msgid "Index metadata descriptors"
+msgstr ""
+
+#: ../../source/development/developer.rst:68
+msgid "``RangeIndex`` can be stored as metadata only, not requiring serialization. The descriptor format for these as is follows:"
+msgstr ""
+
+#: ../../source/development/developer.rst:82
+msgid "Other index types must be serialized as data columns along with the other DataFrame columns. The metadata for these is a string indicating the name of the field in the data columns, for example ``'__index_level_0__'``."
+msgstr ""
+
+#: ../../source/development/developer.rst:86
+msgid "If an index has a non-None ``name`` attribute, and there is no other column with a name matching that value, then the ``index.name`` value can be used as the descriptor. Otherwise (for unnamed indexes and ones with names colliding with other column names) a disambiguating name with pattern matching ``__index_level_\\d+__`` should be used. In cases of named indexes as data columns, ``name`` attribute is always stored in the column descriptors as above."
+msgstr ""
+
+#: ../../source/development/developer.rst:95
+msgid "Column metadata"
+msgstr ""
+
+#: ../../source/development/developer.rst:97
+msgid "``pandas_type`` is the logical type of the column, and is one of:"
+msgstr ""
+
+#: ../../source/development/developer.rst:99
+msgid "Boolean: ``'bool'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:100
+msgid "Integers: ``'int8', 'int16', 'int32', 'int64', 'uint8', 'uint16', 'uint32', 'uint64'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:101
+msgid "Floats: ``'float16', 'float32', 'float64'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:102
+msgid "Date and Time Types: ``'datetime', 'datetimetz'``, ``'timedelta'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:103
+msgid "String: ``'unicode', 'bytes'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:104
+msgid "Categorical: ``'categorical'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:105
+msgid "Other Python objects: ``'object'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:107
+msgid "The ``numpy_type`` is the physical storage type of the column, which is the result of ``str(dtype)`` for the underlying NumPy array that holds the data. So for ``datetimetz`` this is ``datetime64[ns]`` and for categorical, it may be any of the supported integer categorical types."
+msgstr ""
+
+#: ../../source/development/developer.rst:112
+msgid "The ``metadata`` field is ``None`` except for:"
+msgstr ""
+
+#: ../../source/development/developer.rst:114
+msgid "``datetimetz``: ``{'timezone': zone, 'unit': 'ns'}``, e.g. ``{'timezone', 'America/New_York', 'unit': 'ns'}``. The ``'unit'`` is optional, and if omitted it is assumed to be nanoseconds."
+msgstr ""
+
+#: ../../source/development/developer.rst:117
+msgid "``categorical``: ``{'num_categories': K, 'ordered': is_ordered, 'type': $TYPE}``"
+msgstr ""
+
+#: ../../source/development/developer.rst:119
+msgid "Here ``'type'`` is optional, and can be a nested pandas type specification here (but not categorical)"
+msgstr ""
+
+#: ../../source/development/developer.rst:122
+msgid "``unicode``: ``{'encoding': encoding}``"
+msgstr ""
+
+#: ../../source/development/developer.rst:124
+msgid "The encoding is optional, and if not present is UTF-8"
+msgstr ""
+
+#: ../../source/development/developer.rst:126
+msgid "``object``: ``{'encoding': encoding}``. Objects can be serialized and stored in ``BYTE_ARRAY`` Parquet columns. The encoding can be one of:"
+msgstr ""
+
+#: ../../source/development/developer.rst:129
+msgid "``'pickle'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:130
+msgid "``'bson'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:131
+msgid "``'json'``"
+msgstr ""
+
+#: ../../source/development/developer.rst:133
+msgid "``timedelta``: ``{'unit': 'ns'}``. The ``'unit'`` is optional, and if omitted it is assumed to be nanoseconds. This metadata is optional altogether"
+msgstr ""
+
+#: ../../source/development/developer.rst:136
+msgid "For types other than these, the ``'metadata'`` key can be omitted. Implementations can assume ``None`` if the key is not present."
+msgstr ""
+
+#: ../../source/development/developer.rst:139
+msgid "As an example of fully-formed metadata:"
+msgstr ""
diff --git a/doc/source/locale/pot/development/extending.pot b/doc/source/locale/pot/development/extending.pot
new file mode 100644
index 0000000000000..7712cdbe8314a
--- /dev/null
+++ b/doc/source/locale/pot/development/extending.pot
@@ -0,0 +1,362 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/extending.rst:3
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/extending.rst:7
+msgid "Extending pandas"
+msgstr ""
+
+#: ../../source/development/extending.rst:9
+msgid "While pandas provides a rich set of methods, containers, and data types, your needs may not be fully satisfied. pandas offers a few options for extending pandas."
+msgstr ""
+
+#: ../../source/development/extending.rst:16
+msgid "Registering custom accessors"
+msgstr ""
+
+#: ../../source/development/extending.rst:18
+msgid "Libraries can use the decorators :func:`pandas.api.extensions.register_dataframe_accessor`, :func:`pandas.api.extensions.register_series_accessor`, and :func:`pandas.api.extensions.register_index_accessor`, to add additional \"namespaces\" to pandas objects. All of these follow a similar convention: you decorate a class, providing the name of attribute to add. The class's ``__init__`` method gets the object being decorated. For example:"
+msgstr ""
+
+#: ../../source/development/extending.rst:51
+msgid "Now users can access your methods using the ``geo`` namespace:"
+msgstr ""
+
+#: ../../source/development/extending.rst:61
+msgid "This can be a convenient way to extend pandas objects without subclassing them. If you write a custom accessor, make a pull request adding it to our `ecosystem `_ page."
+msgstr ""
+
+#: ../../source/development/extending.rst:65
+msgid "We highly recommend validating the data in your accessor's ``__init__``. In our ``GeoAccessor``, we validate that the data contains the expected columns, raising an ``AttributeError`` when the validation fails. For a ``Series`` accessor, you should validate the ``dtype`` if the accessor applies only to certain dtypes."
+msgstr ""
+
+#: ../../source/development/extending.rst:75
+msgid "Extension types"
+msgstr ""
+
+#: ../../source/development/extending.rst:79
+msgid "The :class:`pandas.api.extensions.ExtensionDtype` and :class:`pandas.api.extensions.ExtensionArray` APIs were experimental prior to pandas 1.5. Starting with version 1.5, future changes will follow the :ref:`pandas deprecation policy `."
+msgstr ""
+
+#: ../../source/development/extending.rst:83
+msgid "pandas defines an interface for implementing data types and arrays that *extend* NumPy's type system. pandas itself uses the extension system for some types that aren't built into NumPy (categorical, period, interval, datetime with timezone)."
+msgstr ""
+
+#: ../../source/development/extending.rst:88
+msgid "Libraries can define a custom array and data type. When pandas encounters these objects, they will be handled properly (i.e. not converted to an ndarray of objects). Many methods like :func:`pandas.isna` will dispatch to the extension type's implementation."
+msgstr ""
+
+#: ../../source/development/extending.rst:93
+msgid "If you're building a library that implements the interface, please publicize it on `the ecosystem page `_."
+msgstr ""
+
+#: ../../source/development/extending.rst:96
+msgid "The interface consists of two classes."
+msgstr ""
+
+#: ../../source/development/extending.rst:99
+msgid ":class:`~pandas.api.extensions.ExtensionDtype`"
+msgstr ""
+
+#: ../../source/development/extending.rst:101
+msgid "A :class:`pandas.api.extensions.ExtensionDtype` is similar to a ``numpy.dtype`` object. It describes the data type. Implementors are responsible for a few unique items like the name."
+msgstr ""
+
+#: ../../source/development/extending.rst:104
+msgid "One particularly important item is the ``type`` property. This should be the class that is the scalar type for your data. For example, if you were writing an extension array for IP Address data, this might be ``ipaddress.IPv4Address``."
+msgstr ""
+
+#: ../../source/development/extending.rst:108
+msgid "See the `extension dtype source`_ for interface definition."
+msgstr ""
+
+#: ../../source/development/extending.rst:110
+msgid ":class:`pandas.api.extensions.ExtensionDtype` can be registered to pandas to allow creation via a string dtype name. This allows one to instantiate ``Series`` and ``.astype()`` with a registered string name, for example ``'category'`` is a registered string accessor for the ``CategoricalDtype``."
+msgstr ""
+
+#: ../../source/development/extending.rst:114
+msgid "See the `extension dtype dtypes`_ for more on how to register dtypes."
+msgstr ""
+
+#: ../../source/development/extending.rst:117
+msgid ":class:`~pandas.api.extensions.ExtensionArray`"
+msgstr ""
+
+#: ../../source/development/extending.rst:119
+msgid "This class provides all the array-like functionality. ExtensionArrays are limited to 1 dimension. An ExtensionArray is linked to an ExtensionDtype via the ``dtype`` attribute."
+msgstr ""
+
+#: ../../source/development/extending.rst:123
+msgid "pandas makes no restrictions on how an extension array is created via its ``__new__`` or ``__init__``, and puts no restrictions on how you store your data. We do require that your array be convertible to a NumPy array, even if this is relatively expensive (as it is for ``Categorical``)."
+msgstr ""
+
+#: ../../source/development/extending.rst:128
+msgid "They may be backed by none, one, or many NumPy arrays. For example, :class:`pandas.Categorical` is an extension array backed by two arrays, one for codes and one for categories. An array of IPv6 addresses may be backed by a NumPy structured array with two fields, one for the lower 64 bits and one for the upper 64 bits. Or they may be backed by some other storage type, like Python lists."
+msgstr ""
+
+#: ../../source/development/extending.rst:135
+msgid "See the `extension array source`_ for the interface definition. The docstrings and comments contain guidance for properly implementing the interface."
+msgstr ""
+
+#: ../../source/development/extending.rst:141
+msgid ":class:`~pandas.api.extensions.ExtensionArray` operator support"
+msgstr ""
+
+#: ../../source/development/extending.rst:143
+msgid "By default, there are no operators defined for the class :class:`~pandas.api.extensions.ExtensionArray`. There are two approaches for providing operator support for your ExtensionArray:"
+msgstr ""
+
+#: ../../source/development/extending.rst:146
+msgid "Define each of the operators on your ``ExtensionArray`` subclass."
+msgstr ""
+
+#: ../../source/development/extending.rst:147
+msgid "Use an operator implementation from pandas that depends on operators that are already defined on the underlying elements (scalars) of the ExtensionArray."
+msgstr ""
+
+#: ../../source/development/extending.rst:152
+msgid "Regardless of the approach, you may want to set ``__array_priority__`` if you want your implementation to be called when involved in binary operations with NumPy arrays."
+msgstr ""
+
+#: ../../source/development/extending.rst:156
+msgid "For the first approach, you define selected operators, e.g., ``__add__``, ``__le__``, etc. that you want your ``ExtensionArray`` subclass to support."
+msgstr ""
+
+#: ../../source/development/extending.rst:159
+msgid "The second approach assumes that the underlying elements (i.e., scalar type) of the ``ExtensionArray`` have the individual operators already defined. In other words, if your ``ExtensionArray`` named ``MyExtensionArray`` is implemented so that each element is an instance of the class ``MyExtensionElement``, then if the operators are defined for ``MyExtensionElement``, the second approach will automatically define the operators for ``MyExtensionArray``."
+msgstr ""
+
+#: ../../source/development/extending.rst:166
+msgid "A mixin class, :class:`~pandas.api.extensions.ExtensionScalarOpsMixin` supports this second approach. If developing an ``ExtensionArray`` subclass, for example ``MyExtensionArray``, can simply include ``ExtensionScalarOpsMixin`` as a parent class of ``MyExtensionArray``, and then call the methods :meth:`~MyExtensionArray._add_arithmetic_ops` and/or :meth:`~MyExtensionArray._add_comparison_ops` to hook the operators into your ``MyExtensionArray`` class, as follows:"
+msgstr ""
+
+#: ../../source/development/extending.rst:188
+msgid "Since ``pandas`` automatically calls the underlying operator on each element one-by-one, this might not be as performant as implementing your own version of the associated operators directly on the ``ExtensionArray``."
+msgstr ""
+
+#: ../../source/development/extending.rst:192
+msgid "For arithmetic operations, this implementation will try to reconstruct a new ``ExtensionArray`` with the result of the element-wise operation. Whether or not that succeeds depends on whether the operation returns a result that's valid for the ``ExtensionArray``. If an ``ExtensionArray`` cannot be reconstructed, an ndarray containing the scalars returned instead."
+msgstr ""
+
+#: ../../source/development/extending.rst:198
+msgid "For ease of implementation and consistency with operations between pandas and NumPy ndarrays, we recommend *not* handling Series and Indexes in your binary ops. Instead, you should detect these cases and return ``NotImplemented``. When pandas encounters an operation like ``op(Series, ExtensionArray)``, pandas will"
+msgstr ""
+
+#: ../../source/development/extending.rst:204
+msgid "unbox the array from the ``Series`` (``Series.array``)"
+msgstr ""
+
+#: ../../source/development/extending.rst:205
+msgid "call ``result = op(values, ExtensionArray)``"
+msgstr ""
+
+#: ../../source/development/extending.rst:206
+msgid "re-box the result in a ``Series``"
+msgstr ""
+
+#: ../../source/development/extending.rst:211
+msgid "NumPy universal functions"
+msgstr ""
+
+#: ../../source/development/extending.rst:213
+msgid ":class:`Series` implements ``__array_ufunc__``. As part of the implementation, pandas unboxes the ``ExtensionArray`` from the :class:`Series`, applies the ufunc, and re-boxes it if necessary."
+msgstr ""
+
+#: ../../source/development/extending.rst:217
+msgid "If applicable, we highly recommend that you implement ``__array_ufunc__`` in your extension array to avoid coercion to an ndarray. See `the NumPy documentation `__ for an example."
+msgstr ""
+
+#: ../../source/development/extending.rst:222
+msgid "As part of your implementation, we require that you defer to pandas when a pandas container (:class:`Series`, :class:`DataFrame`, :class:`Index`) is detected in ``inputs``. If any of those is present, you should return ``NotImplemented``. pandas will take care of unboxing the array from the container and re-calling the ufunc with the unwrapped input."
+msgstr ""
+
+#: ../../source/development/extending.rst:230
+msgid "Testing extension arrays"
+msgstr ""
+
+#: ../../source/development/extending.rst:232
+msgid "We provide a test suite for ensuring that your extension arrays satisfy the expected behavior. To use the test suite, you must provide several pytest fixtures and inherit from the base test class. The required fixtures are found in https://github.com/pandas-dev/pandas/blob/main/pandas/tests/extension/conftest.py."
+msgstr ""
+
+#: ../../source/development/extending.rst:237
+msgid "To use a test, subclass it:"
+msgstr ""
+
+#: ../../source/development/extending.rst:248
+msgid "See https://github.com/pandas-dev/pandas/blob/main/pandas/tests/extension/base/__init__.py for a list of all the tests available."
+msgstr ""
+
+#: ../../source/development/extending.rst:254
+msgid "Compatibility with Apache Arrow"
+msgstr ""
+
+#: ../../source/development/extending.rst:256
+msgid "An ``ExtensionArray`` can support conversion to / from ``pyarrow`` arrays (and thus support for example serialization to the Parquet file format) by implementing two methods: ``ExtensionArray.__arrow_array__`` and ``ExtensionDtype.__from_arrow__``."
+msgstr ""
+
+#: ../../source/development/extending.rst:261
+msgid "The ``ExtensionArray.__arrow_array__`` ensures that ``pyarrow`` knowns how to convert the specific extension array into a ``pyarrow.Array`` (also when included as a column in a pandas DataFrame):"
+msgstr ""
+
+#: ../../source/development/extending.rst:276
+msgid "The ``ExtensionDtype.__from_arrow__`` method then controls the conversion back from pyarrow to a pandas ExtensionArray. This method receives a pyarrow ``Array`` or ``ChunkedArray`` as only argument and is expected to return the appropriate pandas ``ExtensionArray`` for this dtype and the passed values:"
+msgstr ""
+
+#: ../../source/development/extending.rst:289
+msgid "See more in the `Arrow documentation `__."
+msgstr ""
+
+#: ../../source/development/extending.rst:291
+msgid "Those methods have been implemented for the nullable integer and string extension dtypes included in pandas, and ensure roundtrip to pyarrow and the Parquet file format."
+msgstr ""
+
+#: ../../source/development/extending.rst:301
+msgid "Subclassing pandas data structures"
+msgstr ""
+
+#: ../../source/development/extending.rst:303
+msgid "There are some easier alternatives before considering subclassing ``pandas`` data structures."
+msgstr ""
+
+#: ../../source/development/extending.rst:305
+msgid "Extensible method chains with :ref:`pipe `"
+msgstr ""
+
+#: ../../source/development/extending.rst:307
+msgid "Use *composition*. See `here `_."
+msgstr ""
+
+#: ../../source/development/extending.rst:309
+msgid "Extending by :ref:`registering an accessor `"
+msgstr ""
+
+#: ../../source/development/extending.rst:311
+msgid "Extending by :ref:`extension type `"
+msgstr ""
+
+#: ../../source/development/extending.rst:313
+msgid "This section describes how to subclass ``pandas`` data structures to meet more specific needs. There are two points that need attention:"
+msgstr ""
+
+#: ../../source/development/extending.rst:315
+msgid "Override constructor properties."
+msgstr ""
+
+#: ../../source/development/extending.rst:316
+#: ../../source/development/extending.rst:399
+msgid "Define original properties"
+msgstr ""
+
+#: ../../source/development/extending.rst:320
+msgid "You can find a nice example in `geopandas `_ project."
+msgstr ""
+
+#: ../../source/development/extending.rst:323
+msgid "Override constructor properties"
+msgstr ""
+
+#: ../../source/development/extending.rst:325
+msgid "Each data structure has several *constructor properties* for returning a new data structure as the result of an operation. By overriding these properties, you can retain subclasses through ``pandas`` data manipulations."
+msgstr ""
+
+#: ../../source/development/extending.rst:329
+msgid "There are 3 possible constructor properties to be defined on a subclass:"
+msgstr ""
+
+#: ../../source/development/extending.rst:331
+msgid "``DataFrame/Series._constructor``: Used when a manipulation result has the same dimension as the original."
+msgstr ""
+
+#: ../../source/development/extending.rst:332
+msgid "``DataFrame._constructor_sliced``: Used when a ``DataFrame`` (sub-)class manipulation result should be a ``Series`` (sub-)class."
+msgstr ""
+
+#: ../../source/development/extending.rst:333
+msgid "``Series._constructor_expanddim``: Used when a ``Series`` (sub-)class manipulation result should be a ``DataFrame`` (sub-)class, e.g. ``Series.to_frame()``."
+msgstr ""
+
+#: ../../source/development/extending.rst:335
+msgid "Below example shows how to define ``SubclassedSeries`` and ``SubclassedDataFrame`` overriding constructor properties."
+msgstr ""
+
+#: ../../source/development/extending.rst:401
+msgid "To let original data structures have additional properties, you should let ``pandas`` know what properties are added. ``pandas`` maps unknown properties to data names overriding ``__getattribute__``. Defining original properties can be done in one of 2 ways:"
+msgstr ""
+
+#: ../../source/development/extending.rst:403
+msgid "Define ``_internal_names`` and ``_internal_names_set`` for temporary properties which WILL NOT be passed to manipulation results."
+msgstr ""
+
+#: ../../source/development/extending.rst:404
+msgid "Define ``_metadata`` for normal properties which will be passed to manipulation results."
+msgstr ""
+
+#: ../../source/development/extending.rst:406
+msgid "Below is an example to define two original properties, \"internal_cache\" as a temporary property and \"added_property\" as a normal property"
+msgstr ""
+
+#: ../../source/development/extending.rst:451
+msgid "Plotting backends"
+msgstr ""
+
+#: ../../source/development/extending.rst:453
+msgid "pandas can be extended with third-party plotting backends. The main idea is letting users select a plotting backend different than the provided one based on Matplotlib. For example:"
+msgstr ""
+
+#: ../../source/development/extending.rst:462
+msgid "This would be more or less equivalent to:"
+msgstr ""
+
+#: ../../source/development/extending.rst:469
+msgid "The backend module can then use other visualization tools (Bokeh, Altair,...) to generate the plots."
+msgstr ""
+
+#: ../../source/development/extending.rst:472
+msgid "Libraries implementing the plotting backend should use `entry points `__ to make their backend discoverable to pandas. The key is ``\"pandas_plotting_backends\"``. For example, pandas registers the default \"matplotlib\" backend as follows."
+msgstr ""
+
+#: ../../source/development/extending.rst:489
+msgid "More information on how to implement a third-party plotting backend can be found at https://github.com/pandas-dev/pandas/blob/main/pandas/plotting/__init__.py#L1."
+msgstr ""
+
+#: ../../source/development/extending.rst:495
+msgid "Arithmetic with 3rd party types"
+msgstr ""
+
+#: ../../source/development/extending.rst:497
+msgid "In order to control how arithmetic works between a custom type and a pandas type, implement ``__pandas_priority__``. Similar to numpy's ``__array_priority__`` semantics, arithmetic methods on :class:`DataFrame`, :class:`Series`, and :class:`Index` objects will delegate to ``other``, if it has an attribute ``__pandas_priority__`` with a higher value."
+msgstr ""
+
+#: ../../source/development/extending.rst:502
+msgid "By default, pandas objects try to operate with other objects, even if they are not types known to pandas:"
+msgstr ""
+
+#: ../../source/development/extending.rst:511
+msgid "In the example above, if ``[10, 20]`` was a custom type that can be understood as a list, pandas objects will still operate with it in the same way."
+msgstr ""
+
+#: ../../source/development/extending.rst:513
+msgid "In some cases, it is useful to delegate to the other type the operation. For example, consider I implement a custom list object, and I want the result of adding my custom list with a pandas :class:`Series` to be an instance of my list and not a :class:`Series` as seen in the previous example. This is now possible by defining the ``__pandas_priority__`` attribute of my custom list, and setting it to a higher value, than the priority of the pandas objects I want to operate with."
+msgstr ""
+
+#: ../../source/development/extending.rst:518
+msgid "The ``__pandas_priority__`` of :class:`DataFrame`, :class:`Series`, and :class:`Index` are ``4000``, ``3000``, and ``2000`` respectively. The base ``ExtensionArray.__pandas_priority__`` is ``1000``."
+msgstr ""
diff --git a/doc/source/locale/pot/development/index.pot b/doc/source/locale/pot/development/index.pot
new file mode 100644
index 0000000000000..7e47e2d28f832
--- /dev/null
+++ b/doc/source/locale/pot/development/index.pot
@@ -0,0 +1,25 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME \n"
+"Language-Team: LANGUAGE \n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+
+#: ../../source/development/index.rst:1
+msgid "{{ header }}"
+msgstr ""
+
+#: ../../source/development/index.rst:7
+msgid "Development"
+msgstr ""
diff --git a/doc/source/locale/pot/development/internals.pot b/doc/source/locale/pot/development/internals.pot
new file mode 100644
index 0000000000000..bb4a25359dfca
--- /dev/null
+++ b/doc/source/locale/pot/development/internals.pot
@@ -0,0 +1,109 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) 2023
+# This file is distributed under the same license as the pandas package.
+# FIRST AUTHOR , YEAR.
+#
+#, fuzzy
+msgid ""
+msgstr ""
+"Project-Id-Version: pandas 2.1.3\n"
+"Report-Msgid-Bugs-To: \n"
+"POT-Creation-Date: 2023-11-12 17:37+0900\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME |