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Copy file name to clipboardExpand all lines: .travis.yml
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@@ -42,7 +42,7 @@ matrix:
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- arch: arm64
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env:
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- JOB="3.7, arm64" PYTEST_WORKERS=8 ENV_FILE="ci/deps/travis-37-arm64.yaml" PATTERN="(not slow and not network and not clipboard)"
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- JOB="3.7, arm64" PYTEST_WORKERS=8 ENV_FILE="ci/deps/travis-37-arm64.yaml" PATTERN="(not slow and not network and not clipboard and not arm_slow)"
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- env:
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- JOB="3.7, locale" ENV_FILE="ci/deps/travis-37-locale.yaml" PATTERN="((not slow and not network and not clipboard) or (single and db))" LOCALE_OVERRIDE="zh_CN.UTF-8" SQL="1"
@@ -58,13 +58,6 @@ matrix:
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services:
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- mysql
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- postgresql
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allow_failures:
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- arch: arm64
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env:
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- JOB="3.7, arm64" PYTEST_WORKERS=8 ENV_FILE="ci/deps/travis-37-arm64.yaml" PATTERN="(not slow and not network and not clipboard)"
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- dist: bionic
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env:
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- JOB="3.9-dev" PATTERN="(not slow and not network and not clipboard)"
- Fixed regression in :class:`IntegerArray` unary plus and minus operations raising a ``TypeError`` (:issue:`36063`)
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- Fixed regression in :meth:`Series.__getitem__` incorrectly raising when the input was a tuple (:issue:`35534`)
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- Fixed regression in :meth:`Series.__getitem__` incorrectly raising when the input was a frozenset (:issue:`35747`)
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- Fixed regression in :meth:`read_excel` with ``engine="odf"`` caused ``UnboundLocalError`` in some cases where cells had nested child nodes (:issue:`36122`,:issue:`35802`)
- Bug in :func:`read_spss` where passing a ``pathlib.Path`` as ``path`` would raise a ``TypeError`` (:issue:`33666`)
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- Bug in :meth:`Series.str.startswith` and :meth:`Series.str.endswith` with ``category`` dtype not propagating ``na`` parameter (:issue:`36241`)
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- Bug in :class:`Series` constructor where integer overflow would occur for sufficiently large scalar inputs when an index was provided (:issue:`36291`)
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- Bug in :meth:`DataFrame.sort_values` raising an ``AttributeError`` when sorting on a key that casts column to categorical dtype (:issue:`36383`)
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- Bug in :meth:`DataFrame.stack` raising a ``ValueError`` when stacking :class:`MultiIndex` columns based on position when the levels had duplicate names (:issue:`36353`)
Copy file name to clipboardExpand all lines: doc/source/whatsnew/v1.2.0.rst
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@@ -118,6 +118,8 @@ Other enhancements
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- :class:`Index` with object dtype supports division and multiplication (:issue:`34160`)
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- :meth:`DataFrame.explode` and :meth:`Series.explode` now support exploding of sets (:issue:`35614`)
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- `Styler` now allows direct CSS class name addition to individual data cells (:issue:`36159`)
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- :meth:`Rolling.mean()` and :meth:`Rolling.sum()` use Kahan summation to calculate the mean to avoid numerical problems (:issue:`10319`, :issue:`11645`, :issue:`13254`, :issue:`32761`, :issue:`36031`)
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- :meth:`DatetimeIndex.searchsorted`, :meth:`TimedeltaIndex.searchsorted`, :meth:`PeriodIndex.searchsorted`, and :meth:`Series.searchsorted` with datetimelike dtypes will now try to cast string arguments (listlike and scalar) to the matching datetimelike type (:issue:`36346`)
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.. _whatsnew_120.api_breaking.python:
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@@ -209,6 +211,7 @@ Deprecations
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- Deprecated parameter ``inplace`` in :meth:`MultiIndex.set_codes` and :meth:`MultiIndex.set_levels` (:issue:`35626`)
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- Deprecated parameter ``dtype`` in :~meth:`Index.copy` on method all index classes. Use the :meth:`Index.astype` method instead for changing dtype(:issue:`35853`)
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- Date parser functions :func:`~pandas.io.date_converters.parse_date_time`, :func:`~pandas.io.date_converters.parse_date_fields`, :func:`~pandas.io.date_converters.parse_all_fields` and :func:`~pandas.io.date_converters.generic_parser` from ``pandas.io.date_converters`` are deprecated and will be removed in a future version; use :func:`to_datetime` instead (:issue:`35741`)
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- :meth:`DataFrame.lookup` is deprecated and will be removed in a future version, use :meth:`DataFrame.melt` and :meth:`DataFrame.loc` instead (:issue:`18682`)
- Performance improvements when creating Series with dtype `str` or :class:`StringDtype` from array with many string elements (:issue:`36304`, :issue:`36317`)
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- Performance improvements when creating Series with dtype `str` or :class:`StringDtype` from array with many string elements (:issue:`36304`, :issue:`36317`, :issue:`36325`)
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- Performance improvement in :meth:`GroupBy.agg` with the ``numba`` engine (:issue:`35759`)
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- Performance improvements when creating :meth:`pd.Series.map` from a huge dictionary (:issue:`34717`)
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- Performance improvement in :meth:`GroupBy.transform` with the ``numba`` engine (:issue:`36240`)
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- In :meth:`read_csv` `float_precision='round_trip'` now handles `decimal` and `thousands` parameters (:issue:`35365`)
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- :meth:`to_pickle` and :meth:`read_pickle` were closing user-provided file objects (:issue:`35679`)
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- :meth:`to_csv` passes compression arguments for `'gzip'` always to `gzip.GzipFile` (:issue:`28103`)
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- :meth:`to_csv` did not support zip compression for binary file object not having a filename (:issue:`35058`)
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- :meth:`to_csv` did not support zip compression for binary file object not having a filename (:issue:`35058`)
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- :meth:`to_csv` and :meth:`read_csv` did not honor `compression` and `encoding` for path-like objects that are internally converted to file-like objects (:issue:`35677`, :issue:`26124`, and :issue:`32392`)
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- :meth:`to_picke` and :meth:`read_pickle` did not support compression for file-objects (:issue:`26237`, :issue:`29054`, and :issue:`29570`)
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- Bug in :meth:`read_excel` with `engine="odf"` caused ``UnboundLocalError`` in some cases where cells had nested child nodes (:issue:`36122`, and :issue:`35802`)
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