Merge pull request #1202 from plotly/datareader_remove

Datareader remove

Author: michaelbabyn

_posts/python/animations/filled-area-animation/2015-06-30-filled-area-animation.html

@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -61,13 +61,13 @@
     {
      "data": {
       "text/html": [
-       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~AdamKulidjian/2193.embed\" height=\"380px\" width=\"100%\"></iframe>"
+       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/3014.embed\" height=\"380px\" width=\"100%\"></iframe>"
       ],
       "text/plain": [
        "<plotly.tools.PlotlyDisplay object>"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -81,10 +81,10 @@
     "from datetime import datetime\n",
     "import numpy as np\n",
     "import pandas as pd\n",
-    "import pandas_datareader.data as web\n",
     "\n",
-    "appl = web.get_data_yahoo('AAPL', '2016-01-01', '2016-11-30')\n",
-    "apple_data_matrix = appl.head(10)\n",
+    "appl = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv')\n",
+    "appl.columns = [col.replace('AAPL.', '') for col in appl.columns]\n",
+    "apple_data_matrix = appl.head(10).round(2)\n",
     "\n",
     "table = FF.create_table(apple_data_matrix)\n",
     "py.iplot(table, filename='apple_data_table')"
@@ -99,18 +99,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "u'https://plot.ly/~AdamKulidjian/2201/'"
+       "'https://plot.ly/~PythonPlotBot/3031/'"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -120,10 +120,10 @@
     "    epoch =  datetime.utcfromtimestamp(0)\n",
     "    return (dt - epoch).total_seconds() * 1000\n",
     "\n",
-    "appl_price = list(appl['Adj Close'])\n",
+    "appl_price = list(appl['Adjusted'])\n",
     "my_columns = []\n",
-    "for k in range(len(appl.index) - 1):\n",
-    "    my_columns.append(Column(appl.index[:k + 1], 'x{}'.format(k + 1)))   \n",
+    "for k in range(len(appl.Date) - 1):\n",
+    "    my_columns.append(Column(list(appl.Date)[:k + 1], 'x{}'.format(k + 1)))   \n",
     "    my_columns.append(Column(appl_price[:k + 1], 'y{}'.format(k + 1)))\n",
     "grid = Grid(my_columns)\n",
     "py.grid_ops.upload(grid, 'AAPL-daily-stock-price' + str(time.time()), auto_open=False)"
@@ -138,21 +138,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~AdamKulidjian/2202.embed\" height=\"400px\" width=\"800px\"></iframe>"
+       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/3032.embed\" height=\"400px\" width=\"800px\"></iframe>"
       ],
       "text/plain": [
        "<plotly.tools.PlotlyDisplay object>"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -181,9 +181,9 @@
     "              width=800,\n",
     "              height=400,\n",
     "              xaxis=dict(axis, **{'nticks':12, 'tickangle':-45,\n",
-    "                                  'range': [to_unix_time(datetime(2016, 1, 4)),\n",
+    "                                  'range': [to_unix_time(datetime(2015, 2, 17)),\n",
     "                                            to_unix_time(datetime(2016, 11, 30))]}),\n",
-    "              yaxis=dict(axis, **{'title': '$', 'range':[0,120]}),\n",
+    "              yaxis=dict(axis, **{'title': '$', 'range':[0,170]}),\n",
     "              updatemenus=[dict(type='buttons',\n",
     "                                showactive=False,\n",
     "                                y=1,\n",
@@ -201,7 +201,7 @@
     "frames=[{'data':[{'xsrc': grid.get_column_reference('x{}'.format(k + 1)),\n",
     "                  'ysrc': grid.get_column_reference('y{}'.format(k + 1))}],\n",
     "         'traces': [0]\n",
-    "        } for k in range(len(appl.index) - 1)]\n",
+    "        } for k in range(len(appl.Date) - 1)]\n",
     "\n",
     "fig=dict(data=data, layout=layout, frames=frames)\n",
     "py.icreate_animations(fig, 'AAPL-stockprice' + str(time.time()))"
@@ -218,7 +218,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
@@ -252,27 +252,18 @@
      "output_type": "stream",
      "text": [
       "Collecting git+https://github.com/plotly/publisher.git\n",
-      "  Cloning https://github.com/plotly/publisher.git to /private/var/folders/tc/bs9g6vrd36q74m5t8h9cgphh0000gn/T/pip-19JNWN-build\n",
+      "  Cloning https://github.com/plotly/publisher.git to /tmp/pip-req-build-obc71o_a\n",
+      "Building wheels for collected packages: publisher\n",
+      "  Running setup.py bdist_wheel for publisher ... \u001b[?25ldone\n",
+      "\u001b[?25h  Stored in directory: /tmp/pip-ephem-wheel-cache-_a4gf6by/wheels/99/3e/a0/fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
+      "Successfully built publisher\n",
       "Installing collected packages: publisher\n",
-      "  Found existing installation: publisher 0.10\n",
-      "    Uninstalling publisher-0.10:\n",
-      "      Successfully uninstalled publisher-0.10\n",
-      "  Running setup.py install for publisher ... \u001b[?25l-\b \bdone\n",
-      "\u001b[?25hSuccessfully installed publisher-0.10\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning:\n",
-      "\n",
-      "The `IPython.nbconvert` package has been deprecated. You should import from nbconvert instead.\n",
-      "\n",
-      "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/publisher/publisher.py:53: UserWarning:\n",
-      "\n",
-      "Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",
-      "\n"
+      "  Found existing installation: publisher 0.13\n",
+      "    Uninstalling publisher-0.13:\n",
+      "      Successfully uninstalled publisher-0.13\n",
+      "Successfully installed publisher-0.13\n",
+      "\u001b[33mYou are using pip version 10.0.1, however version 18.1 is available.\n",
+      "You should consider upgrading via the 'pip install --upgrade pip' command.\u001b[0m\n"
      ]
     }
    ],
@@ -306,23 +297,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.12"
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 2
 }