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DOC: Cleanup 1.5 whatsnew (#48197)
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‎doc/source/whatsnew/v1.5.0.rst

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@@ -154,8 +154,6 @@ from_dummies
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Added new function :func:`~pandas.from_dummies` to convert a dummy coded :class:`DataFrame` into a categorical :class:`DataFrame`.
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Example::
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.. ipython:: python
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import pandas as pd
@@ -308,7 +306,7 @@ Other enhancements
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- :meth:`DataFrame.rolling` and :meth:`Series.rolling` now support a ``step`` parameter with fixed-length windows (:issue:`15354`)
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- Implemented a ``bool``-dtype :class:`Index`, passing a bool-dtype array-like to ``pd.Index`` will now retain ``bool`` dtype instead of casting to ``object`` (:issue:`45061`)
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- Implemented a complex-dtype :class:`Index`, passing a complex-dtype array-like to ``pd.Index`` will now retain complex dtype instead of casting to ``object`` (:issue:`45845`)
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- :class:`Series` and :class:`DataFrame` with ``IntegerDtype`` now supports bitwise operations (:issue:`34463`)
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- :class:`Series` and :class:`DataFrame` with :class:`IntegerDtype` now supports bitwise operations (:issue:`34463`)
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- Add ``milliseconds`` field support for :class:`.DateOffset` (:issue:`43371`)
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- :meth:`DataFrame.reset_index` now accepts a ``names`` argument which renames the index names (:issue:`6878`)
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- :func:`concat` now raises when ``levels`` is given but ``keys`` is None (:issue:`46653`)
@@ -319,7 +317,7 @@ Other enhancements
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- A :class:`errors.PerformanceWarning` is now thrown when using ``string[pyarrow]`` dtype with methods that don't dispatch to ``pyarrow.compute`` methods (:issue:`42613`)
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- Added ``numeric_only`` argument to :meth:`Resampler.sum`, :meth:`Resampler.prod`, :meth:`Resampler.min`, :meth:`Resampler.max`, :meth:`Resampler.first`, and :meth:`Resampler.last` (:issue:`46442`)
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- ``times`` argument in :class:`.ExponentialMovingWindow` now accepts ``np.timedelta64`` (:issue:`47003`)
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- :class:`.DataError`, :class:`.SpecificationError`, :class:`.SettingWithCopyError`, :class:`.SettingWithCopyWarning`, :class:`.NumExprClobberingError`, :class:`.UndefinedVariableError`, :class:`.IndexingError`, :class:`.PyperclipException`, :class:`.PyperclipWindowsException`, :class:`.CSSWarning`, :class:`.PossibleDataLossError`, :class:`.ClosedFileError`, :class:`.IncompatibilityWarning`, :class:`.AttributeConflictWarning`, :class:`.DatabaseError, :class:`.PossiblePrecisionLoss, :class:`.ValueLabelTypeMismatch, :class:`.InvalidColumnName, and :class:`.CategoricalConversionWarning` are now exposed in ``pandas.errors`` (:issue:`27656`)
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- :class:`.DataError`, :class:`.SpecificationError`, :class:`.SettingWithCopyError`, :class:`.SettingWithCopyWarning`, :class:`.NumExprClobberingError`, :class:`.UndefinedVariableError`, :class:`.IndexingError`, :class:`.PyperclipException`, :class:`.PyperclipWindowsException`, :class:`.CSSWarning`, :class:`.PossibleDataLossError`, :class:`.ClosedFileError`, :class:`.IncompatibilityWarning`, :class:`.AttributeConflictWarning`, :class:`.DatabaseError`, :class:`.PossiblePrecisionLoss`, :class:`.ValueLabelTypeMismatch`, :class:`.InvalidColumnName`, and :class:`.CategoricalConversionWarning` are now exposed in ``pandas.errors`` (:issue:`27656`)
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- Added ``check_like`` argument to :func:`testing.assert_series_equal` (:issue:`47247`)
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- Add support for :meth:`.GroupBy.ohlc` for extension array dtypes (:issue:`37493`)
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- Allow reading compressed SAS files with :func:`read_sas` (e.g., ``.sas7bdat.gz`` files)
@@ -491,16 +489,6 @@ Calling :meth:`.DataFrameGroupBy.value_counts` with ``observed=True`` would inco
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Backwards incompatible API changes
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. _whatsnew_150.api_breaking.api_breaking1:
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api_breaking_change1
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^^^^^^^^^^^^^^^^^^^^
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.. _whatsnew_150.api_breaking.api_breaking2:
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api_breaking_change2
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^^^^^^^^^^^^^^^^^^^^
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.. _whatsnew_150.api_breaking.deps:
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Increased minimum versions for dependencies
@@ -567,7 +555,73 @@ Optional libraries below the lowest tested version may still work, but are not c
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+-----------------+-----------------+---------+
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| Package | Minimum Version | Changed |
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+=================+=================+=========+
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| | | X |
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| beautifulsoup4 |4.9.3 | X |
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+-----------------+-----------------+---------+
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| blosc |1.21.0 | X |
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+-----------------+-----------------+---------+
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| bottleneck |1.3.2 | X |
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+-----------------+-----------------+---------+
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| brotlipy |0.7.0 | |
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+-----------------+-----------------+---------+
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| fastparquet |0.4.0 | |
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+-----------------+-----------------+---------+
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| fsspec |2021.05.0 | X |
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+-----------------+-----------------+---------+
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| html5lib |1.1 | |
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+-----------------+-----------------+---------+
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| hypothesis |6.13.0 | X |
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+-----------------+-----------------+---------+
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| gcsfs |2021.05.0 | X |
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+-----------------+-----------------+---------+
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| jinja2 |3.0.0 | X |
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+-----------------+-----------------+---------+
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| lxml |4.6.3 | X |
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+-----------------+-----------------+---------+
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| matplotlib |3.3.2 | |
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+-----------------+-----------------+---------+
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| numba |0.53.1 | X |
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+-----------------+-----------------+---------+
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| numexpr |2.7.3 | X |
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+-----------------+-----------------+---------+
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| odfpy |1.4.1 | |
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+-----------------+-----------------+---------+
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| openpyxl |3.0.7 | X |
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+-----------------+-----------------+---------+
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| pandas-gbq |0.15.0 | X |
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+-----------------+-----------------+---------+
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| psycopg2 |2.8.6 | X |
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+-----------------+-----------------+---------+
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| pyarrow |1.0.1 | |
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+-----------------+-----------------+---------+
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| pymysql |1.0.2 | X |
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+-----------------+-----------------+---------+
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| pyreadstat |1.1.2 | X |
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+-----------------+-----------------+---------+
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| pytables |3.6.1 | |
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+-----------------+-----------------+---------+
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| python-snappy |0.6.0 | |
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+-----------------+-----------------+---------+
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| pyxlsb |1.0.8 | X |
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+-----------------+-----------------+---------+
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| s3fs |2021.05.0 | X |
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+-----------------+-----------------+---------+
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| scipy |1.7.1 | X |
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+-----------------+-----------------+---------+
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| sqlalchemy |1.4.16 | X |
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+-----------------+-----------------+---------+
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| tabulate |0.8.9 | X |
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+-----------------+-----------------+---------+
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| tzdata |2022a | |
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+-----------------+-----------------+---------+
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| xarray |0.19.0 | X |
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+-----------------+-----------------+---------+
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| xlrd |2.0.1 | |
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+-----------------+-----------------+---------+
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| xlsxwriter |1.4.3 | X |
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+-----------------+-----------------+---------+
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| xlwt |1.3.0 | |
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+-----------------+-----------------+---------+
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| zstandard |0.15.2 | |
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+-----------------+-----------------+---------+
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See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
@@ -703,7 +757,7 @@ retained by specifying ``group_keys=False``.
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Inplace operation when setting values with ``loc`` and ``iloc``
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Most of the time setting values with ``frame.iloc`` attempts to set values
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Most of the time setting values with :meth:`DataFrame.iloc` attempts to set values
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inplace, only falling back to inserting a new array if necessary. There are
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some cases where this rule is not followed, for example when setting an entire
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column from an array with different dtype:
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^^^^^^^^^^^
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- Bug in :meth:`.Categorical.view` not accepting integer dtypes (:issue:`25464`)
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- Bug in :meth:`.CategoricalIndex.union` when the index's categories are integer-dtype and the index contains ``NaN`` values incorrectly raising instead of casting to ``float64`` (:issue:`45362`)
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- Bug in :meth:`DataFrame.concat` when concatenating two (or more) unordered ``CategoricalIndex`` variables, whose categories are permutations, yields incorrect index values (:issue:`24845`)
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- Bug in :meth:`concat` when concatenating two (or more) unordered :class:`CategoricalIndex` variables, whose categories are permutations, yields incorrect index values (:issue:`24845`)
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Datetimelike
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^^^^^^^^^^^^

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