forked from pool/python-pandas
4142 lines
223 KiB
Plaintext
4142 lines
223 KiB
Plaintext
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-------------------------------------------------------------------
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Sun Sep 8 10:02:47 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Drop pandas-pr58720-xarray-dp.patch: It does no longer xfail
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-------------------------------------------------------------------
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Wed Aug 28 13:53:55 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Skip overflowing tests on 32-bit
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-------------------------------------------------------------------
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Sun Aug 25 21:22:36 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Add pandas-pr59353-np2eval.patch
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* gh#pandas-dev/pandas#59353
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* gh#pandas-dev/pandas#58548
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-------------------------------------------------------------------
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Thu Jul 11 09:51:36 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Add pandas-pr59175-matplotlib.patch -- gh#pandas-dev/pandas#59175
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-------------------------------------------------------------------
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Sun May 12 17:57:39 UTC 2024 - Matej Cepl <mcepl@cepl.eu>
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- Add pandas-pr58269-pyarrow16xpass.patch
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(gh#pandas-dev/pandas!58269)
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- Add pandas-pr58720-xarray-dp.patch
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(gh#pandas-dev/pandas!58720), which makes pandas compatible
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with the modern xarray
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- Add pandas-pr58484-matplotlib.patch
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(gh#pandas-dev/pandas!58484), which makes pandas compatible
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with the modern matplotlib
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- Skip also test_plot_scatter_shape (gh#pandas-dev/pandas#58851)
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-------------------------------------------------------------------
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Thu May 9 23:44:42 UTC 2024 - Matej Cepl <mcepl@cepl.eu>
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- Skip build on Python 3.10 ... too many dependencies are missing.
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-------------------------------------------------------------------
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Tue Apr 30 18:08:56 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Update to 2.2.2
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* Pandas 2.2.2 is now compatible with numpy 2.0
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* Pandas 2.2.2 is the first version of pandas that is generally
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compatible with the upcoming numpy 2.0 release, and wheels for
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pandas 2.2.2 will work with both numpy 1.x and 2.x. One major
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caveat is that arrays created with numpy 2.0’s new StringDtype
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will convert to object dtyped arrays upon Series/DataFrame
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creation. Full support for numpy 2.0’s StringDtype is expected
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to land in pandas 3.0.
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* As usual please report any bugs discovered to our issue tracker
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## Fixed regressions
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* DataFrame.__dataframe__() was producing incorrect data buffers
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when the a column’s type was a pandas nullable on with missing
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values (GH 56702)
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* DataFrame.__dataframe__() was producing incorrect data buffers
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when the a column’s type was a pyarrow nullable on with missing
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values (GH 57664)
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* Avoid issuing a spurious DeprecationWarning when a custom
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DataFrame or Series subclass method is called (GH 57553)
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* Fixed regression in precision of to_datetime() with string and
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unit input (GH 57051)
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## Bug fixes
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* DataFrame.__dataframe__() was producing incorrect data buffers
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when the column’s type was nullable boolean (GH 55332)
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* DataFrame.__dataframe__() was showing bytemask instead of
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bitmask for 'string[pyarrow]' validity buffer (GH 57762)
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* DataFrame.__dataframe__() was showing non-null validity buffer
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(instead of None) 'string[pyarrow]' without missing values (GH
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57761)
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* DataFrame.to_sql() was failing to find the right table when
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using the schema argument (GH 57539)
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- Remove obsolete python39 multibuild
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- Add pandas-pr58269-pyarrow16xpass.patch
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gh#pandas-dev/pandas#58269
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-------------------------------------------------------------------
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Mon Mar 4 20:44:10 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- No xarrary for python 3.9 anymore: Remove from pandas[all] and
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exclude pandas[computation]. Reenable testing to check it.
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It will be skipped automatically when python39 is dropped from
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Tumbleweed globally.
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- Fix 15.x build: requires newer compiler
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- Fix 15.x test skips: sle15_python_module_pythons needs to be
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declared earlier
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-------------------------------------------------------------------
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Fri Feb 23 20:04:59 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Update to 2.2.1
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## Enhancements
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* Added pyarrow pip extra so users can install pandas and pyarrow
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with pip with pip install pandas[pyarrow] (#54466)
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## Fixed regressions
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* Fixed memory leak in `read_csv` (#57039)
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* Fixed performance regression in `Series.combine_first` (#55845)
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* Fixed regression causing overflow for near-minimum timestamps
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(#57150)
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* Fixed regression in `concat` changing long-standing behavior
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that always sorted the non-concatenation axis when the axis was
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a `DatetimeIndex` (#57006)
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* Fixed regression in `merge_ordered` raising TypeError for
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fill_method="ffill" and how="left" (#57010)
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* Fixed regression in `pandas.testing.assert_series_equal`
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defaulting to check_exact=True when checking the `Index`
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(#57067)
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* Fixed regression in `read_json` where an `Index` would be
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returned instead of a `RangeIndex` (#57429)
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* Fixed regression in `wide_to_long` raising an AttributeError
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for string columns (#57066)
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* Fixed regression in `.DataFrameGroupBy.idxmin`,
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`.DataFrameGroupBy.idxmax`, `.SeriesGroupBy.idxmin`,
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`.SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
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* Fixed regression in `.DataFrameGroupBy.idxmin`,
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`.DataFrameGroupBy.idxmax`, `.SeriesGroupBy.idxmin`,
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`.SeriesGroupBy.idxmax` where values containing the minimum or
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maximum value for the dtype could produce incorrect results
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(#57040)
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* Fixed regression in `CategoricalIndex.difference` raising
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KeyError when other contains null values other than NaN
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(#57318)
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* Fixed regression in `DataFrame.groupby` raising ValueError when
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grouping by a `Series` in some cases (#57276)
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* Fixed regression in `DataFrame.loc` raising IndexError for
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non-unique, masked dtype indexes where result has more than
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10,000 rows (#57027)
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* Fixed regression in `DataFrame.loc` which was unnecessarily
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throwing "incompatible dtype warning" when expanding with
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partial row indexer and multiple columns (see PDEP6) (#56503)
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* Fixed regression in `DataFrame.map` with na_action="ignore" not
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being respected for NumPy nullable and `ArrowDtypes` (#57316)
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* Fixed regression in `DataFrame.merge` raising ValueError for
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certain types of 3rd-party extension arrays (#57316)
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* Fixed regression in `DataFrame.query` with all NaT column with
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object dtype (#57068)
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* Fixed regression in `DataFrame.shift` raising AssertionError
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for axis=1 and empty `DataFrame` (#57301)
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* Fixed regression in `DataFrame.sort_index` not producing a
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stable sort for a index with duplicates (#57151)
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* Fixed regression in `DataFrame.to_dict` with orient='list' and
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datetime or timedelta types returning integers (#54824)
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* Fixed regression in `DataFrame.to_json` converting nullable
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integers to floats (#57224)
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* Fixed regression in `DataFrame.to_sql` when method="multi" is
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passed and the dialect type is not Oracle (#57310)
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* Fixed regression in `DataFrame.transpose` with nullable
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extension dtypes not having F-contiguous data potentially
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causing exceptions when used (#57315)
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* Fixed regression in `DataFrame.update` emitting incorrect
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warnings about downcasting (#57124)
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* Fixed regression in `DataFrameGroupBy.idxmin`,
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`DataFrameGroupBy.idxmax`, `SeriesGroupBy.idxmin`,
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`SeriesGroupBy.idxmax` ignoring the skipna argument (#57040)
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* Fixed regression in `DataFrameGroupBy.idxmin`,
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`DataFrameGroupBy.idxmax`, `SeriesGroupBy.idxmin`,
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`SeriesGroupBy.idxmax` where values containing the minimum or
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maximum value for the dtype could produce incorrect results
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(#57040)
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* Fixed regression in `ExtensionArray.to_numpy` raising for
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non-numeric masked dtypes (#56991)
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* Fixed regression in `Index.join` raising TypeError when joining
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an empty index to a non-empty index containing mixed dtype
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values (#57048)
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* Fixed regression in `Series.astype` introducing decimals when
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converting from integer with missing values to string dtype
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(#57418)
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* Fixed regression in `Series.pct_change` raising a ValueError
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for an empty `Series` (#57056)
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* Fixed regression in `Series.to_numpy` when dtype is given as
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float and the data contains NaNs (#57121)
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* Fixed regression in addition or subtraction of `DateOffset`
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|
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objects with millisecond components to datetime64 `Index`,
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`Series`, or `DataFrame` (#57529)
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## Bug fixes
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* Fixed bug in `pandas.api.interchange.from_dataframe` which was
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raising for Nullable integers (#55069)
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* Fixed bug in `pandas.api.interchange.from_dataframe` which was
|
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raising for empty inputs (#56700)
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* Fixed bug in `pandas.api.interchange.from_dataframe` which
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wasn't converting columns names to strings (#55069)
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|
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* Fixed bug in `DataFrame.__getitem__` for empty `DataFrame` with
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|
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Copy-on-Write enabled (#57130)
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|
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* Fixed bug in `PeriodIndex.asfreq` which was silently converting
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|
|
frequencies which are not supported as period frequencies
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|
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instead of raising an error (#56945)
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|
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## Note
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|
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* The DeprecationWarning that was raised when pandas was imported
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|
|
without PyArrow being installed has been removed. This decision
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|
|
was made because the warning was too noisy for too many users
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|
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and a lot of feedback was collected about the decision to make
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|
|
PyArrow a required dependency. Pandas is currently considering
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|
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the decision whether or not PyArrow should be added as a hard
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|
|
dependency in 3.0. Interested users can follow the discussion
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|
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here.
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|
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* Added the argument skipna to `DataFrameGroupBy.first`,
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|
|
`DataFrameGroupBy.last`, `SeriesGroupBy.first`, and
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|
|
`SeriesGroupBy.last`; achieving skipna=False used to be
|
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|
|
available via `DataFrameGroupBy.nth`, but the behavior was
|
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|
|
changed in pandas 2.0.0 (#57019)
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|
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* Added the argument skipna to `Resampler.first`,
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|
|
`Resampler.last` (#57019)
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|
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- Release notes for 2.2.0
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* For full changelog see
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|
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https://github.com/pandas-dev/pandas/blob/main/doc/source/whatsnew/v2.2.0.rst
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|
|
## Enhancements
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|
|
* ADBC Driver support in to_sql and read_sql
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|
|
* Create a pandas Series based on one or more conditions
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|
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* to_numpy for NumPy nullable and Arrow types converts to
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|
|
suitable NumPy dtype
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|
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* Series.struct accessor for PyArrow structured data
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|
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* Series.list accessor for PyArrow list data
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|
|
* Calamine engine for `read_excel`
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|
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## Notable bug fixes
|
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|
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* `merge` and `DataFrame.join` now consistently follow documented
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|
|
sort behavior
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|
|
* `merge` and `DataFrame.join` no longer reorder levels when
|
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|
|
levels differ
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|
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* Increased minimum versions for dependencies
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|
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## Deprecations
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|
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* Chained assignment
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|
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* Deprecate aliases M, Q, Y, etc. in favour of ME, QE, YE, etc.
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|
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for offsets
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* Deprecated automatic downcasting
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- Simplify flavor test setup: obs can evaluate %{shrink:} now
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-------------------------------------------------------------------
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Tue Feb 6 08:59:26 UTC 2024 - Dirk Müller <dmueller@suse.com>
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- enable py312 testing, remove py39 testing
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-------------------------------------------------------------------
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Fri Jan 12 11:18:40 UTC 2024 - pgajdos@suse.com
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- have a possibility to not use pyarrow [bsc#1218592]
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-------------------------------------------------------------------
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Wed Dec 13 16:35:35 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Update to 2.1.4
|
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|
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## Fixed regressions
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|
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* Fixed regression when trying to read a pickled pandas DataFrame
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|
|
from pandas 1.3 (GH 55137)
|
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|
|
## Bug fixes
|
|||
|
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* Bug in Series constructor raising DeprecationWarning when index
|
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|
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is a list of Series (GH 55228)
|
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|
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* Bug in Series when trying to cast date-like string inputs to
|
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|
|
ArrowDtype of pyarrow.timestamp (GH 56266)
|
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|
|
* Bug in DataFrame.apply() where passing raw=True ignored args
|
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|
|
passed to the applied function (GH 55753)
|
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|
|
* Bug in Index.__getitem__() returning wrong result for Arrow
|
|||
|
|
dtypes and negative stepsize (GH 55832)
|
|||
|
|
* Fixed bug in to_numeric() converting to extension dtype for
|
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|
|
string[pyarrow_numpy] dtype (GH 56179)
|
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|
|
* Fixed bug in DataFrameGroupBy.min() and DataFrameGroupBy.max()
|
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|
|
not preserving extension dtype for empty object (GH 55619)
|
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|
|
* Fixed bug in DataFrame.__setitem__() casting Index with
|
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|
|
object-dtype to PyArrow backed strings when infer_string option
|
|||
|
|
is set (GH 55638)
|
|||
|
|
* Fixed bug in DataFrame.to_hdf() raising when columns have
|
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|
|
StringDtype (GH 55088)
|
|||
|
|
* Fixed bug in Index.insert() casting object-dtype to PyArrow
|
|||
|
|
backed strings when infer_string option is set (GH 55638)
|
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|
|
* Fixed bug in Series.__ne__() resulting in False for comparison
|
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|
|
between NA and string value for dtype="string[pyarrow_numpy]"
|
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|
|
(GH 56122)
|
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|
|
* Fixed bug in Series.mode() not keeping object dtype when
|
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|
|
infer_string is set (GH 56183)
|
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|
|
* Fixed bug in Series.reset_index() not preserving object dtype
|
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|
|
when infer_string is set (GH 56160)
|
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|
|
* Fixed bug in Series.str.split() and Series.str.rsplit() when
|
|||
|
|
pat=None for ArrowDtype with pyarrow.string (GH 56271)
|
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|
|
* Fixed bug in Series.str.translate() losing object dtype when
|
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|
|
string option is set (GH 56152)
|
|||
|
|
- Go back to Cython0, it has NOT been unpinned by upstream released
|
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|
|
version
|
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|
|
* https://github.com/pandas-dev/pandas/blob/v2.1.4/pyproject.toml#L8
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|
|
* See also gh#jsonpickle/jsonpickle#460
|
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|
|
|
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|
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-------------------------------------------------------------------
|
|||
|
|
Fri Dec 1 03:25:23 UTC 2023 - Steve Kowalik <steven.kowalik@suse.com>
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|
|
|
|||
|
|
- Update to 2.1.3:
|
|||
|
|
* Reverted deprecation of fill_method=None in DataFrame.pct_change(),
|
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|
|
Series.pct_change(), DataFrameGroupBy.pct_change(), and
|
|||
|
|
SeriesGroupBy.pct_change(); the values 'backfill', 'bfill', 'pad', and
|
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|
|
'ffill' are still deprecated
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed infinite recursion from operations that return a new object on
|
|||
|
|
some DataFrame subclasses
|
|||
|
|
+ Fixed regression in DataFrame.join() where result has missing values
|
|||
|
|
and dtype is arrow backed string
|
|||
|
|
+ Fixed regression in rolling() where non-nanosecond index or on column
|
|||
|
|
would produce incorrect results
|
|||
|
|
+ Fixed regression in DataFrame.resample() which was extrapolating back
|
|||
|
|
to origin when origin was outside its bounds
|
|||
|
|
+ Fixed regression in DataFrame.sort_index() which was not sorting
|
|||
|
|
correctly when the index was a sliced MultiIndex
|
|||
|
|
+ Fixed regression in DataFrameGroupBy.agg() and SeriesGroupBy.agg()
|
|||
|
|
where if the option compute.use_numba was set to True, groupby methods
|
|||
|
|
not supported by the numba engine would raise a TypeError
|
|||
|
|
+ Fixed performance regression with wide DataFrames, typically
|
|||
|
|
involving methods where all columns were accessed individually
|
|||
|
|
+ Fixed regression in merge_asof() raising TypeError for by with
|
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|
|
datetime and timedelta dtypes
|
|||
|
|
+ Fixed regression in read_parquet() when reading a file with a string
|
|||
|
|
column consisting of more than 2 GB of string data and using the
|
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|
|
"string" dtype
|
|||
|
|
+ Fixed regression in DataFrame.to_sql() not roundtripping datetime
|
|||
|
|
columns correctly for sqlite when using detect_types
|
|||
|
|
+ Fixed regression in construction of certain DataFrame or Series
|
|||
|
|
subclasses
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in DatetimeIndex.diff() raising TypeError
|
|||
|
|
+ Bug in Index.isin() raising for Arrow backed string and None value
|
|||
|
|
+ Fix read_parquet() and read_feather() for CVE-2023-47248
|
|||
|
|
+ Fixed bug in DataFrameGroupBy reductions not preserving object dtype
|
|||
|
|
when infer_string is set
|
|||
|
|
+ Fixed bug in SeriesGroupBy.value_counts() returning incorrect dtype for
|
|||
|
|
string columns
|
|||
|
|
+ Fixed bug in Categorical.equals() if other has arrow backed string dtype
|
|||
|
|
+ Fixed bug in DataFrame.__setitem__() not inferring string dtype for
|
|||
|
|
zero-dimensional array with infer_string=True
|
|||
|
|
+ Fixed bug in DataFrame.idxmin() and DataFrame.idxmax() raising for
|
|||
|
|
arrow dtypes
|
|||
|
|
+ Fixed bug in DataFrame.interpolate() raising incorrect error message
|
|||
|
|
+ Fixed bug in Index.insert() raising when inserting None into Index with
|
|||
|
|
dtype="string[pyarrow_numpy]"
|
|||
|
|
+ Fixed bug in Series.all() and Series.any() not treating missing values
|
|||
|
|
correctly for dtype="string[pyarrow_numpy]"
|
|||
|
|
+ Fixed bug in Series.floordiv() for ArrowDtype
|
|||
|
|
+ Fixed bug in Series.mode() not sorting values for arrow backed string
|
|||
|
|
dtype
|
|||
|
|
+ Fixed bug in Series.rank() for string[pyarrow_numpy] dtype
|
|||
|
|
+ Fixed bug in Series.str.extractall() for ArrowDtype dtype being
|
|||
|
|
converted to object
|
|||
|
|
+ Fixed bug where PDEP-6 warning about setting an item of an
|
|||
|
|
incompatible dtype was being shown when creating a new conditional
|
|||
|
|
column
|
|||
|
|
+ Silence Period[B] warnings introduced by GH 53446 during normal
|
|||
|
|
plotting activity
|
|||
|
|
+ Fixed bug in Series constructor not inferring string dtype when NA is
|
|||
|
|
the first value and infer_string is set
|
|||
|
|
- Prepare for Python 3.12, include the flavor check.
|
|||
|
|
- Unpin Cython, upstream has moved onto 3.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Oct 14 03:55:05 UTC 2023 - Bernhard Wiedemann <bwiedemann@suse.com>
|
|||
|
|
|
|||
|
|
- Fix random build failures
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Oct 7 20:22:18 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to 2.1.1
|
|||
|
|
## Fixed regressions
|
|||
|
|
* Fixed regression in concat() when DataFrame ‘s have two
|
|||
|
|
different extension dtypes (GH 54848)
|
|||
|
|
* Fixed regression in merge() when merging over a PyArrow string
|
|||
|
|
index (GH 54894)
|
|||
|
|
* Fixed regression in read_csv() when usecols is given and dtypes
|
|||
|
|
is a dict for engine="python" (GH 54868)
|
|||
|
|
* Fixed regression in read_csv() when delim_whitespace is True
|
|||
|
|
(GH 54918, GH 54931)
|
|||
|
|
* Fixed regression in GroupBy.get_group() raising for axis=1 (GH
|
|||
|
|
54858)
|
|||
|
|
* Fixed regression in DataFrame.__setitem__() raising
|
|||
|
|
AssertionError when setting a Series with a partial MultiIndex
|
|||
|
|
(GH 54875)
|
|||
|
|
* Fixed regression in DataFrame.filter() not respecting the order
|
|||
|
|
of elements for filter (GH 54980)
|
|||
|
|
* Fixed regression in DataFrame.to_sql() not roundtripping
|
|||
|
|
datetime columns correctly for sqlite (GH 54877)
|
|||
|
|
* Fixed regression in DataFrameGroupBy.agg() when aggregating a
|
|||
|
|
DataFrame with duplicate column names using a dictionary (GH
|
|||
|
|
55006)
|
|||
|
|
* Fixed regression in MultiIndex.append() raising when appending
|
|||
|
|
overlapping IntervalIndex levels (GH 54934)
|
|||
|
|
* Fixed regression in Series.drop_duplicates() for PyArrow
|
|||
|
|
strings (GH 54904)
|
|||
|
|
* Fixed regression in Series.interpolate() raising when
|
|||
|
|
fill_value was given (GH 54920)
|
|||
|
|
* Fixed regression in Series.value_counts() raising for numeric
|
|||
|
|
data if bins was specified (GH 54857)
|
|||
|
|
* Fixed regression in comparison operations for PyArrow backed
|
|||
|
|
columns not propagating exceptions correctly (GH 54944)
|
|||
|
|
* Fixed regression when comparing a Series with datetime64 dtype
|
|||
|
|
with None (GH 54870)
|
|||
|
|
## Bug fixes
|
|||
|
|
* Fixed bug for ArrowDtype raising NotImplementedError for
|
|||
|
|
fixed-size list (GH 55000)
|
|||
|
|
* Fixed bug in DataFrame.stack() with future_stack=True and
|
|||
|
|
columns a non-MultiIndex consisting of tuples (GH 54948)
|
|||
|
|
* Fixed bug in Series.dt.tz() with ArrowDtype where a string was
|
|||
|
|
returned instead of a tzinfo object (GH 55003)
|
|||
|
|
* Fixed bug in Series.pct_change() and DataFrame.pct_change()
|
|||
|
|
showing unnecessary FutureWarning (GH 54981)
|
|||
|
|
## Other
|
|||
|
|
* Reverted the deprecation that disallowed Series.apply()
|
|||
|
|
returning a DataFrame when the passed-in callable returns a
|
|||
|
|
Series object (GH 52116)
|
|||
|
|
- Drop pandas-pr55073-pyarrow13.patch merged upstream
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Sep 10 13:10:06 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Fix test failures with pyarrow 13
|
|||
|
|
* Add pandas-pr55073-pyarrow13.patch
|
|||
|
|
* gh#pandas-dev/pandas#55073
|
|||
|
|
* gh#pandas-dev/pandas#55048
|
|||
|
|
* gh#pandas-dev/pandas#55020
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Sep 5 21:02:37 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Use git cloned archive gh#pandas-dev/pandas#54907
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu Aug 31 14:51:11 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to 2.1.0
|
|||
|
|
* https://pandas.pydata.org/pandas-docs/version/2.1.0/whatsnew/v2.1.0.html
|
|||
|
|
* Avoid NumPy object dtype for strings by default
|
|||
|
|
* DataFrame reductions preserve extension dtypes
|
|||
|
|
* Copy-on-Write improvements
|
|||
|
|
* New DataFrame.map() method and support for ExtensionArrays
|
|||
|
|
* New implementation of DataFrame.stack()
|
|||
|
|
* Other minor enhancements (see link above)
|
|||
|
|
## Backwards incompatible API changes
|
|||
|
|
* pandas 2.1.0 supports Python 3.9 and higher
|
|||
|
|
* Increased minimum versions for numpy 1.22.3 and some optional
|
|||
|
|
dependencies
|
|||
|
|
* arrays.PandasArray has been renamed NumpyExtensionArray and the
|
|||
|
|
attached dtype name changed from PandasDtype to NumpyEADtype;
|
|||
|
|
importing PandasArray still works until the next major version
|
|||
|
|
(GH 53694)
|
|||
|
|
## Deprecations
|
|||
|
|
* Deprecated silent upcasting in setitem-like Series operations
|
|||
|
|
* Deprecated parsing datetimes with mixed time zones
|
|||
|
|
* Other Deprecation (see link above)
|
|||
|
|
## More
|
|||
|
|
* Performance Improvements (see link above)
|
|||
|
|
* Bug fixes (see linkl above)
|
|||
|
|
- Switch to meson build system
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Aug 13 21:50:37 UTC 2023 - Dirk Müller <dmueller@suse.com>
|
|||
|
|
|
|||
|
|
- update to 2.0.3:
|
|||
|
|
* Bug in Timestamp.weekday`() was returning incorrect results
|
|||
|
|
before '0000-02-29'
|
|||
|
|
* Fixed performance regression in merging on datetime-like columns
|
|||
|
|
* Fixed regression when DataFrame.to_string() creates extra space
|
|||
|
|
for string dtypes
|
|||
|
|
* Bug in DataFrame.convert_dtype() and Series.convert_dtype()
|
|||
|
|
when trying to convert ArrowDtype with dtype_backend="nullable_numpy"
|
|||
|
|
* Bug in RangeIndex.union() when using sort=True with another
|
|||
|
|
RangeIndex
|
|||
|
|
* Bug in Series.reindex() when expanding a non-nanosecond datetime
|
|||
|
|
or timedelta
|
|||
|
|
* Bug in read_csv() when defining dtype with bool[pyarrow] for
|
|||
|
|
the "c" and "python" engines
|
|||
|
|
* Bug in Series.str.split() and Series.str.rsplit() with expand=True
|
|||
|
|
* Bug in indexing methods (e.g. DataFrame.__getitem__()) where
|
|||
|
|
taking the entire DataFrame/Series would raise an OverflowError
|
|||
|
|
when Copy on Write was enabled the length of the array was over
|
|||
|
|
the maximum size a 32-bit integer can hold
|
|||
|
|
* Bug when constructing a DataFrame with columns of an ArrowDtype
|
|||
|
|
with a pyarrow.dictionary type that reindexes the data
|
|||
|
|
* Bug when indexing a DataFrame or Series with an Index with a
|
|||
|
|
timestamp ArrowDtype would raise an AttributeError
|
|||
|
|
- drop pandas-fix-tests.patch (upstream)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu Jun 22 09:36:06 UTC 2023 - Guillaume GARDET <guillaume.gardet@opensuse.org>
|
|||
|
|
|
|||
|
|
- Fix tests on aarch64:
|
|||
|
|
* pandas-fix-tests.patch
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Jun 11 19:51:26 UTC 2023 - Johannes Kastl <kastl@b1-systems.de>
|
|||
|
|
|
|||
|
|
- do not use %elif for python-numpy dependency condition
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Jun 7 09:13:48 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Increase minimum memory constraints for tests
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat May 27 13:18:13 UTC 2023 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to 2.0.2
|
|||
|
|
## Fixed regressions
|
|||
|
|
* Fixed performance regression in GroupBy.apply() (GH53195)
|
|||
|
|
* Fixed regression in merge() on Windows when dtype is np.intc
|
|||
|
|
(GH52451)
|
|||
|
|
* Fixed regression in read_sql() dropping columns with duplicated
|
|||
|
|
column names (GH53117)
|
|||
|
|
* Fixed regression in DataFrame.loc() losing MultiIndex name when
|
|||
|
|
enlarging object (GH53053)
|
|||
|
|
* Fixed regression in DataFrame.to_string() printing a backslash
|
|||
|
|
at the end of the first row of data, instead of headers, when
|
|||
|
|
the DataFrame doesn’t fit the line width (GH53054)
|
|||
|
|
* Fixed regression in MultiIndex.join() returning levels in wrong
|
|||
|
|
order (GH53093)
|
|||
|
|
## Bug fixes
|
|||
|
|
* Bug in arrays.ArrowExtensionArray incorrectly assigning dict
|
|||
|
|
instead of list for .type with pyarrow.map_ and raising a
|
|||
|
|
NotImplementedError with pyarrow.struct (GH53328)
|
|||
|
|
* Bug in api.interchange.from_dataframe() was raising IndexError
|
|||
|
|
on empty categorical data (GH53077)
|
|||
|
|
* Bug in api.interchange.from_dataframe() was returning
|
|||
|
|
DataFrame’s of incorrect sizes when called on slices (GH52824)
|
|||
|
|
* Bug in api.interchange.from_dataframe() was unnecessarily
|
|||
|
|
raising on bitmasks (GH49888)
|
|||
|
|
* Bug in merge() when merging on datetime columns on different
|
|||
|
|
resolutions (GH53200)
|
|||
|
|
* Bug in read_csv() raising OverflowError for engine="pyarrow"
|
|||
|
|
and parse_dates set (GH53295)
|
|||
|
|
* Bug in to_datetime() was inferring format to contain "%H"
|
|||
|
|
instead of "%I" if date contained “AM” / “PM” tokens (GH53147)
|
|||
|
|
* Bug in DataFrame.convert_dtypes() ignores convert_* keywords
|
|||
|
|
when set to False dtype_backend="pyarrow" (GH52872)
|
|||
|
|
* Bug in DataFrame.convert_dtypes() losing timezone for tz-aware
|
|||
|
|
dtypes and dtype_backend="pyarrow" (GH53382)
|
|||
|
|
* Bug in DataFrame.sort_values() raising for PyArrow dictionary
|
|||
|
|
dtype (GH53232)
|
|||
|
|
* Bug in Series.describe() treating pyarrow-backed timestamps and
|
|||
|
|
timedeltas as categorical data (GH53001)
|
|||
|
|
* Bug in Series.rename() not making a lazy copy when
|
|||
|
|
Copy-on-Write is enabled when a scalar is passed to it
|
|||
|
|
(GH52450)
|
|||
|
|
* Bug in pd.array() raising for NumPy array and pa.large_string
|
|||
|
|
or pa.large_binary (GH52590)
|
|||
|
|
* Bug in DataFrame.__getitem__() not preserving dtypes for
|
|||
|
|
MultiIndex partial keys (GH51895)
|
|||
|
|
## Other
|
|||
|
|
* Raised a better error message when calling
|
|||
|
|
Series.dt.to_pydatetime() with ArrowDtype with pyarrow.date32
|
|||
|
|
or pyarrow.date64 type (GH52812)
|
|||
|
|
- Release to 2.0.1
|
|||
|
|
## Fixed regressions
|
|||
|
|
* Fixed regression for subclassed Series when constructing from a
|
|||
|
|
dictionary (GH52445)
|
|||
|
|
* Fixed regression in SeriesGroupBy.agg() failing when grouping
|
|||
|
|
with categorical data, multiple groupings, as_index=False, and
|
|||
|
|
a list of aggregations (GH52760)
|
|||
|
|
* Fixed regression in DataFrame.pivot() changing Index name of
|
|||
|
|
input object (GH52629)
|
|||
|
|
* Fixed regression in DataFrame.resample() raising on a DataFrame
|
|||
|
|
with no columns (GH52484)
|
|||
|
|
* Fixed regression in DataFrame.sort_values() not resetting index
|
|||
|
|
when DataFrame is already sorted and ignore_index=True
|
|||
|
|
(GH52553)
|
|||
|
|
* Fixed regression in MultiIndex.isin() raising TypeError for
|
|||
|
|
Generator (GH52568)
|
|||
|
|
* Fixed regression in Series.describe() showing RuntimeWarning
|
|||
|
|
for extension dtype Series with one element (GH52515)
|
|||
|
|
* Fixed regression when adding a new column to a DataFrame when
|
|||
|
|
the DataFrame.columns was a RangeIndex and the new key was
|
|||
|
|
hashable but not a scalar (GH52652)
|
|||
|
|
## Bug fixes
|
|||
|
|
* Bug in Series.dt.days that would overflow int32 number of days
|
|||
|
|
(GH52391)
|
|||
|
|
* Bug in arrays.DatetimeArray constructor returning an incorrect
|
|||
|
|
unit when passed a non-nanosecond numpy datetime array
|
|||
|
|
(GH52555)
|
|||
|
|
* Bug in ArrowExtensionArray with duration dtype overflowing when
|
|||
|
|
constructed from data containing numpy NaT (GH52843)
|
|||
|
|
* Bug in Series.dt.round() when passing a freq of equal or higher
|
|||
|
|
resolution compared to the Series would raise a
|
|||
|
|
ZeroDivisionError (GH52761)
|
|||
|
|
* Bug in Series.median() with ArrowDtype returning an approximate
|
|||
|
|
median (GH52679)
|
|||
|
|
* Bug in api.interchange.from_dataframe() was unnecessarily
|
|||
|
|
raising on categorical dtypes (GH49889)
|
|||
|
|
* Bug in api.interchange.from_dataframe() was unnecessarily
|
|||
|
|
raising on large string dtypes (GH52795)
|
|||
|
|
* Bug in pandas.testing.assert_series_equal() where
|
|||
|
|
check_dtype=False would still raise for datetime or timedelta
|
|||
|
|
types with different resolutions (GH52449)
|
|||
|
|
* Bug in read_csv() casting PyArrow datetimes to NumPy when
|
|||
|
|
dtype_backend="pyarrow" and parse_dates is set causing a
|
|||
|
|
performance bottleneck in the process (GH52546)
|
|||
|
|
* Bug in to_datetime() and to_timedelta() when trying to convert
|
|||
|
|
numeric data with a ArrowDtype (GH52425)
|
|||
|
|
* Bug in to_numeric() with errors='coerce' and
|
|||
|
|
dtype_backend='pyarrow' with ArrowDtype data (GH52588)
|
|||
|
|
* Bug in ArrowDtype.__from_arrow__() not respecting if dtype is
|
|||
|
|
explicitly given (GH52533)
|
|||
|
|
* Bug in DataFrame.describe() not respecting ArrowDtype in
|
|||
|
|
include and exclude (GH52570)
|
|||
|
|
* Bug in DataFrame.max() and related casting different Timestamp
|
|||
|
|
resolutions always to nanoseconds (GH52524)
|
|||
|
|
* Bug in Series.describe() not returning ArrowDtype with
|
|||
|
|
pyarrow.float64 type with numeric data (GH52427)
|
|||
|
|
* Bug in Series.dt.tz_localize() incorrectly localizing
|
|||
|
|
timestamps with ArrowDtype (GH52677)
|
|||
|
|
* Bug in arithmetic between np.datetime64 and np.timedelta64 NaT
|
|||
|
|
scalars with units always returning nanosecond resolution
|
|||
|
|
(GH52295)
|
|||
|
|
* Bug in logical and comparison operations between ArrowDtype and
|
|||
|
|
numpy masked types (e.g. "boolean") (GH52625)
|
|||
|
|
* Fixed bug in merge() when merging with ArrowDtype one one and a
|
|||
|
|
NumPy dtype on the other side (GH52406)
|
|||
|
|
* Fixed segfault in Series.to_numpy() with null[pyarrow] dtype
|
|||
|
|
(GH52443)
|
|||
|
|
## Other
|
|||
|
|
* DataFrame created from empty dicts had columns of dtype object.
|
|||
|
|
It is now a RangeIndex (GH52404)
|
|||
|
|
* Series created from empty dicts had index of dtype object. It
|
|||
|
|
is now a RangeIndex (GH52404)
|
|||
|
|
* Implemented Series.str.split() and Series.str.rsplit() for
|
|||
|
|
ArrowDtype with pyarrow.string (GH52401)
|
|||
|
|
* Implemented most str accessor methods for ArrowDtype with
|
|||
|
|
pyarrow.string (GH52401)
|
|||
|
|
* Supplying a non-integer hashable key that tests False in
|
|||
|
|
api.types.is_scalar() now raises a KeyError for
|
|||
|
|
RangeIndex.get_loc(), like it does for Index.get_loc().
|
|||
|
|
Previously it raised an InvalidIndexError (GH52652).
|
|||
|
|
- Release to 2.0.0
|
|||
|
|
## Enhancements
|
|||
|
|
* Installing optional dependencies with pip extras
|
|||
|
|
* Index can now hold numpy numeric dtypes
|
|||
|
|
* Argument dtype_backend , to return pyarrow-backed or
|
|||
|
|
numpy-backed nullable dtypes
|
|||
|
|
* Copy-on-Write improvements
|
|||
|
|
* Other enhancements, see
|
|||
|
|
https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-enhancements
|
|||
|
|
## Notable bug fixes
|
|||
|
|
* DataFrameGroupBy.cumsum() and DataFrameGroupBy.cumprod()
|
|||
|
|
overflow instead of lossy casting to float
|
|||
|
|
* DataFrameGroupBy.nth() and SeriesGroupBy.nth() now behave as
|
|||
|
|
filtrations
|
|||
|
|
## Backwards incompatible API changes
|
|||
|
|
* Construction with datetime64 or timedelta64 dtype with
|
|||
|
|
unsupported resolution
|
|||
|
|
* Value counts sets the resulting name to count
|
|||
|
|
* Disallow astype conversion to non-supported
|
|||
|
|
datetime64/timedelta64 dtypes
|
|||
|
|
* UTC and fixed-offset timezones default to standard-library
|
|||
|
|
tzinfo objects
|
|||
|
|
* Empty DataFrames/Series will now default to have a RangeIndex
|
|||
|
|
* DataFrame to LaTeX has a new render engine
|
|||
|
|
* Increased minimum versions for dependencies
|
|||
|
|
* Datetimes are now parsed with a consistent format
|
|||
|
|
* Other API changes, see
|
|||
|
|
https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.0.html#other-api-changes
|
|||
|
|
## Deprecations
|
|||
|
|
## Removal of prior version deprecations/changes
|
|||
|
|
## Performance improvements
|
|||
|
|
## Bug fixes
|
|||
|
|
- Drop python38 test flavor and start testing python311 which has
|
|||
|
|
been missing since.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon May 8 06:10:30 UTC 2023 - Johannes Kastl <kastl@b1-systems.de>
|
|||
|
|
|
|||
|
|
- add sle15_python_module_pythons
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Feb 8 18:28:19 UTC 2023 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* update copyright year
|
|||
|
|
* remove pandas-pr49886-fix-numpy-deprecations.patch, implemented upstreams
|
|||
|
|
|
|||
|
|
- update to version 1.5.3:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed performance regression in Series.isin() when values is
|
|||
|
|
empty (GH49839)
|
|||
|
|
+ Fixed regression in DataFrame.memory_usage() showing unnecessary
|
|||
|
|
FutureWarning when DataFrame is empty (GH50066)
|
|||
|
|
+ Fixed regression in DataFrameGroupBy.transform() when used with
|
|||
|
|
as_index=False (GH49834)
|
|||
|
|
+ Enforced reversion of color as an alias for c and size as an
|
|||
|
|
alias for s in function DataFrame.plot.scatter() (GH49732)
|
|||
|
|
+ Fixed regression in SeriesGroupBy.apply() setting a name
|
|||
|
|
attribute on the result if the result was a DataFrame (GH49907)
|
|||
|
|
+ Fixed performance regression in setting with the at() indexer
|
|||
|
|
(GH49771)
|
|||
|
|
+ Fixed regression in the methods apply, agg, and transform when
|
|||
|
|
used with NumPy functions that informed users to supply
|
|||
|
|
numeric_only=True if the operation failed on non-numeric dtypes;
|
|||
|
|
such columns must be dropped prior to using these methods
|
|||
|
|
(GH50538)
|
|||
|
|
+ Fixed regression in to_datetime() raising ValueError when
|
|||
|
|
parsing array of float containing np.nan (GH50237)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in the Copy-on-Write implementation losing track of views
|
|||
|
|
when indexing a DataFrame with another DataFrame (GH50630)
|
|||
|
|
+ Bug in Styler.to_excel() leading to error when unrecognized
|
|||
|
|
border-style (e.g. "hair") provided to Excel writers (GH48649)
|
|||
|
|
+ Bug in Series.quantile() emitting warning from NumPy when Series
|
|||
|
|
has only NA values (GH50681)
|
|||
|
|
+ Bug when chaining several Styler.concat() calls, only the last
|
|||
|
|
styler was concatenated (GH49207)
|
|||
|
|
+ Fixed bug when instantiating a DataFrame subclass inheriting
|
|||
|
|
from typing.Generic that triggered a UserWarning on python 3.11
|
|||
|
|
(GH49649)
|
|||
|
|
+ Bug in pivot_table() with NumPy 1.24 or greater when the
|
|||
|
|
DataFrame columns has nested elements (GH50342)
|
|||
|
|
+ Bug in pandas.testing.assert_series_equal() (and equivalent
|
|||
|
|
assert_ functions) when having nested data and using numpy >=
|
|||
|
|
1.25 (GH50360)
|
|||
|
|
* Other
|
|||
|
|
+ Note: If you are using DataFrame.to_sql(), read_sql(),
|
|||
|
|
read_sql_table(), or read_sql_query() with SQLAlchemy 1.4.46 or
|
|||
|
|
greater, you may see a sqlalchemy.exc.RemovedIn20Warning. These
|
|||
|
|
warnings can be safely ignored for the SQLAlchemy 1.4.x releases
|
|||
|
|
as pandas works toward compatibility with SQLAlchemy 2.0.
|
|||
|
|
+ Reverted deprecation (GH45324) of behavior of
|
|||
|
|
Series.__getitem__() and Series.__setitem__() slicing with an
|
|||
|
|
integer Index; this will remain positional (GH49612)
|
|||
|
|
+ A FutureWarning raised when attempting to set values inplace
|
|||
|
|
with DataFrame.loc() or DataFrame.iloc() has been changed to a
|
|||
|
|
DeprecationWarning (GH48673)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Fri Dec 23 16:22:18 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to version 1.5.2
|
|||
|
|
## Fixed regressions
|
|||
|
|
* Fixed regression in MultiIndex.join() for extension array
|
|||
|
|
dtypes (GH49277)
|
|||
|
|
* Fixed regression in Series.replace() raising RecursionError
|
|||
|
|
with numeric dtype and when specifying value=None (GH45725)
|
|||
|
|
* Fixed regression in arithmetic operations for DataFrame with
|
|||
|
|
MultiIndex columns with different dtypes (GH49769)
|
|||
|
|
* Fixed regression in DataFrame.plot() preventing Colormap
|
|||
|
|
instance from being passed using the colormap argument if
|
|||
|
|
Matplotlib 3.6+ is used (GH49374)
|
|||
|
|
* Fixed regression in date_range() returning an invalid set of
|
|||
|
|
periods for CustomBusinessDay frequency and start date with
|
|||
|
|
timezone (GH49441)
|
|||
|
|
* Fixed performance regression in groupby operations (GH49676)
|
|||
|
|
* Fixed regression in Timedelta constructor returning object of
|
|||
|
|
wrong type when subclassing Timedelta (GH49579)
|
|||
|
|
## Bug fixes
|
|||
|
|
* Bug in the Copy-on-Write implementation losing track of views
|
|||
|
|
in certain chained indexing cases (GH48996)
|
|||
|
|
* Fixed memory leak in Styler.to_excel() (GH49751)
|
|||
|
|
## Other
|
|||
|
|
* Reverted color as an alias for c and size as an alias for s in
|
|||
|
|
function DataFrame.plot.scatter() (GH49732)
|
|||
|
|
- Add pandas-pr49886-fix-numpy-deprecations.patch
|
|||
|
|
* gh#pandas-dev/pandas#49887
|
|||
|
|
- Move to PEP518 build
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Oct 22 16:10:11 UTC 2022 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.5.1:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed Regression in Series.__setitem__() casting None to NaN for
|
|||
|
|
object dtype (GH48665)
|
|||
|
|
+ Fixed Regression in DataFrame.loc() when setting values as a
|
|||
|
|
DataFrame with all True indexer (GH48701)
|
|||
|
|
+ Regression in read_csv() causing an EmptyDataError when using an
|
|||
|
|
UTF-8 file handle that was already read from (GH48646)
|
|||
|
|
+ Regression in to_datetime() when utc=True and arg contained
|
|||
|
|
timezone naive and aware arguments raised a ValueError (GH48678)
|
|||
|
|
+ Fixed regression in DataFrame.loc() raising FutureWarning when
|
|||
|
|
setting an empty DataFrame (GH48480)
|
|||
|
|
+ Fixed regression in DataFrame.describe() raising TypeError when
|
|||
|
|
result contains NA (GH48778)
|
|||
|
|
+ Fixed regression in DataFrame.plot() ignoring invalid colormap
|
|||
|
|
for kind="scatter" (GH48726)
|
|||
|
|
+ Fixed regression in MultiIndex.values`() resetting freq
|
|||
|
|
attribute of underlying Index object (GH49054)
|
|||
|
|
+ Fixed performance regression in factorize() when na_sentinel is
|
|||
|
|
not None and sort=False (GH48620)
|
|||
|
|
+ Fixed regression causing an AttributeError during warning
|
|||
|
|
emitted if the provided table name in DataFrame.to_sql() and the
|
|||
|
|
table name actually used in the database do not match (GH48733)
|
|||
|
|
+ Fixed regression in to_datetime() when arg was a date string
|
|||
|
|
with nanosecond and format contained %f would raise a ValueError
|
|||
|
|
(GH48767)
|
|||
|
|
+ Fixed regression in assert_frame_equal() raising for MultiIndex
|
|||
|
|
with Categorical and check_like=True (GH48975)
|
|||
|
|
+ Fixed regression in DataFrame.fillna() replacing wrong values
|
|||
|
|
for datetime64[ns] dtype and inplace=True (GH48863)
|
|||
|
|
+ Fixed DataFrameGroupBy.size() not returning a Series when axis=1
|
|||
|
|
(GH48738)
|
|||
|
|
+ Fixed Regression in DataFrameGroupBy.apply() when user defined
|
|||
|
|
function is called on an empty dataframe (GH47985)
|
|||
|
|
+ Fixed regression in DataFrame.apply() when passing non-zero axis
|
|||
|
|
via keyword argument (GH48656)
|
|||
|
|
+ Fixed regression in Series.groupby() and DataFrame.groupby()
|
|||
|
|
when the grouper is a nullable data type (e.g. Int64) or a
|
|||
|
|
PyArrow-backed string array, contains null values, and
|
|||
|
|
dropna=False (GH48794)
|
|||
|
|
+ Fixed performance regression in Series.isin() with mismatching
|
|||
|
|
dtypes (GH49162)
|
|||
|
|
+ Fixed regression in DataFrame.to_parquet() raising when file
|
|||
|
|
name was specified as bytes (GH48944)
|
|||
|
|
+ Fixed regression in ExcelWriter where the book attribute could
|
|||
|
|
no longer be set; however setting this attribute is now
|
|||
|
|
deprecated and this ability will be removed in a future version
|
|||
|
|
of pandas (GH48780)
|
|||
|
|
+ Fixed regression in DataFrame.corrwith() when computing
|
|||
|
|
correlation on tied data with method="spearman" (GH48826)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in Series.__getitem__() not falling back to positional for
|
|||
|
|
integer keys and boolean Index (GH48653)
|
|||
|
|
+ Bug in DataFrame.to_hdf() raising AssertionError with boolean
|
|||
|
|
index (GH48667)
|
|||
|
|
+ Bug in assert_index_equal() for extension arrays with non
|
|||
|
|
matching NA raising ValueError (GH48608)
|
|||
|
|
+ Bug in DataFrame.pivot_table() raising unexpected FutureWarning
|
|||
|
|
when setting datetime column as index (GH48683)
|
|||
|
|
+ Bug in DataFrame.sort_values() emitting unnecessary
|
|||
|
|
FutureWarning when called on DataFrame with boolean sparse
|
|||
|
|
columns (GH48784)
|
|||
|
|
+ Bug in arrays.ArrowExtensionArray with a comparison operator to
|
|||
|
|
an invalid object would not raise a NotImplementedError
|
|||
|
|
(GH48833)
|
|||
|
|
* Other
|
|||
|
|
+ Avoid showing deprecated signatures when introspecting functions
|
|||
|
|
with warnings about arguments becoming keyword-only (GH48692)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Sep 19 21:49:49 UTC 2022 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* update required versions
|
|||
|
|
|
|||
|
|
- update to version 1.5.0:
|
|||
|
|
* long changelog, full version available at
|
|||
|
|
https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.5.0.html#
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Sep 10 13:25:41 UTC 2022 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* update required version
|
|||
|
|
|
|||
|
|
- update to version 1.4.4:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in DataFrame.fillna() not working on a
|
|||
|
|
DataFrame with a MultiIndex (GH47649)
|
|||
|
|
+ Fixed regression in taking NULL objects from a DataFrame causing
|
|||
|
|
a segmentation violation. These NULL values are created by
|
|||
|
|
numpy.empty_like() (GH46848)
|
|||
|
|
+ Fixed regression in concat() materializing the Index during
|
|||
|
|
sorting even if the Index was already sorted (GH47501)
|
|||
|
|
+ Fixed regression in concat() or merge() handling of all-NaN
|
|||
|
|
ExtensionArrays with custom attributes (GH47762)
|
|||
|
|
+ Fixed regression in calling bitwise numpy ufuncs (for example,
|
|||
|
|
np.bitwise_and) on Index objects (GH46769)
|
|||
|
|
+ Fixed regression in cut() when using a datetime64 IntervalIndex
|
|||
|
|
as bins (GH46218)
|
|||
|
|
+ Fixed regression in DataFrame.select_dtypes() where
|
|||
|
|
include="number" included BooleanDtype (GH46870)
|
|||
|
|
+ Fixed regression in DataFrame.loc() raising error when indexing
|
|||
|
|
with a NamedTuple (GH48124)
|
|||
|
|
+ Fixed regression in DataFrame.loc() not updating the cache
|
|||
|
|
correctly after values were set (GH47867)
|
|||
|
|
+ Fixed regression in DataFrame.loc() not aligning index in some
|
|||
|
|
cases when setting a DataFrame (GH47578)
|
|||
|
|
+ Fixed regression in DataFrame.loc() setting a length-1 array
|
|||
|
|
like value to a single value in the DataFrame (GH46268)
|
|||
|
|
+ Fixed regression when slicing with DataFrame.loc() with
|
|||
|
|
DatetimeIndex with a DateOffset object for its freq (GH46671)
|
|||
|
|
+ Fixed regression in setting None or non-string value into a
|
|||
|
|
string-dtype Series using a mask (GH47628)
|
|||
|
|
+ Fixed regression in updating a DataFrame column through Series
|
|||
|
|
__setitem__ (using chained assignment) not updating column
|
|||
|
|
values inplace and using too much memory (GH47172)
|
|||
|
|
+ Fixed regression in DataFrame.select_dtypes() returning a view
|
|||
|
|
on the original DataFrame (GH48090)
|
|||
|
|
+ Fixed regression using custom Index subclasses (for example,
|
|||
|
|
used in xarray) with reset_index() or Index.insert() (GH47071)
|
|||
|
|
+ Fixed regression in intersection() when the DatetimeIndex has
|
|||
|
|
dates crossing daylight savings time (GH46702)
|
|||
|
|
+ Fixed regression in merge() throwing an error when passing a
|
|||
|
|
Series with a multi-level name (GH47946)
|
|||
|
|
+ Fixed regression in DataFrame.eval() creating a copy when
|
|||
|
|
updating inplace (GH47449)
|
|||
|
|
+ Fixed regression where getting a row using DataFrame.iloc() with
|
|||
|
|
SparseDtype would raise (GH46406)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ The FutureWarning raised when passing arguments (other than
|
|||
|
|
filepath_or_buffer) as positional in read_csv() is now raised at
|
|||
|
|
the correct stacklevel (GH47385)
|
|||
|
|
+ Bug in DataFrame.to_sql() when method was a callable that did
|
|||
|
|
not return an int and would raise a TypeError (GH46891)
|
|||
|
|
+ Bug in DataFrameGroupBy.value_counts() where subset had no
|
|||
|
|
effect (GH46383)
|
|||
|
|
+ Bug when getting values with DataFrame.loc() with a list of keys
|
|||
|
|
causing an internal inconsistency that could lead to a
|
|||
|
|
disconnect between frame.at[x, y] vs frame[y].loc[x] (GH22372)
|
|||
|
|
+ Bug in the Series.dt.strftime() accessor return a float instead
|
|||
|
|
of object dtype Series for all-NaT input, which also causes a
|
|||
|
|
spurious deprecation warning (GH45858)
|
|||
|
|
* Other
|
|||
|
|
+ The minimum version of Cython needed to compile pandas is now
|
|||
|
|
0.29.32 (GH47978)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Jul 9 13:43:53 UTC 2022 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.4.3:
|
|||
|
|
* Behavior of concat with empty or all-NA DataFrame columns
|
|||
|
|
The behavior change in version 1.4.0 to stop ignoring the data
|
|||
|
|
type of empty or all-NA columns with float or object dtype in
|
|||
|
|
concat() (Ignoring dtypes in concat with empty or all-NA columns)
|
|||
|
|
has been reverted (GH45637).
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in DataFrame.replace() when the replacement value
|
|||
|
|
was explicitly None when passed in a dictionary to to_replace also
|
|||
|
|
casting other columns to object dtype even when there were no
|
|||
|
|
values to replace (GH46634)
|
|||
|
|
+ Fixed regression in DataFrame.to_csv() raising error when
|
|||
|
|
DataFrame contains extension dtype categorical column (GH46297,
|
|||
|
|
GH46812)
|
|||
|
|
+ Fixed regression in representation of dtypes attribute of
|
|||
|
|
MultiIndex (GH46900)
|
|||
|
|
+ Fixed regression when setting values with DataFrame.loc() updating
|
|||
|
|
RangeIndex when index was set as new column and column was updated
|
|||
|
|
afterwards (GH47128)
|
|||
|
|
+ Fixed regression in DataFrame.fillna() and DataFrame.update()
|
|||
|
|
creating a copy when updating inplace (GH47188)
|
|||
|
|
+ Fixed regression in DataFrame.nsmallest() led to wrong results
|
|||
|
|
when the sorting column has np.nan values (GH46589)
|
|||
|
|
+ Fixed regression in read_fwf() raising ValueError when widths was
|
|||
|
|
specified with usecols (GH46580)
|
|||
|
|
+ Fixed regression in concat() not sorting columns for mixed column
|
|||
|
|
names (GH47127)
|
|||
|
|
+ Fixed regression in Groupby.transform() and Groupby.agg() failing
|
|||
|
|
with engine="numba" when the index was a MultiIndex (GH46867)
|
|||
|
|
+ Fixed regression in NaN comparison for Index operations where the
|
|||
|
|
same object was compared (GH47105)
|
|||
|
|
+ Fixed regression is Styler.to_latex() and Styler.to_html() where
|
|||
|
|
buf failed in combination with encoding (GH47053)
|
|||
|
|
+ Fixed regression in read_csv() with index_col=False identifying
|
|||
|
|
first row as index names when header=None (GH46955)
|
|||
|
|
+ Fixed regression in DataFrameGroupBy.agg() when used with
|
|||
|
|
list-likes or dict-likes and axis=1 that would give incorrect
|
|||
|
|
results; now raises NotImplementedError (GH46995)
|
|||
|
|
+ Fixed regression in DataFrame.resample() and DataFrame.rolling()
|
|||
|
|
when used with list-likes or dict-likes and axis=1 that would
|
|||
|
|
raise an unintuitive error message; now raises NotImplementedError
|
|||
|
|
(GH46904)
|
|||
|
|
+ Fixed regression in testing.assert_index_equal() when
|
|||
|
|
check_order=False and Index has extension or object dtype
|
|||
|
|
(GH47207)
|
|||
|
|
+ Fixed regression in read_excel() returning ints as floats on
|
|||
|
|
certain input sheets (GH46988)
|
|||
|
|
+ Fixed regression in DataFrame.shift() when axis is columns and
|
|||
|
|
fill_value is absent, freq is ignored (GH47039)
|
|||
|
|
+ Fixed regression in DataFrame.to_json() causing a segmentation
|
|||
|
|
violation when DataFrame is created with an index parameter of the
|
|||
|
|
type PeriodIndex (GH46683)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in pandas.eval(), DataFrame.eval() and DataFrame.query()
|
|||
|
|
where passing empty local_dict or global_dict was treated as
|
|||
|
|
passing None (GH47084)
|
|||
|
|
+ Most I/O methods no longer suppress OSError and ValueError when
|
|||
|
|
closing file handles (GH47136)
|
|||
|
|
* Other
|
|||
|
|
+ The minimum version of Cython needed to compile pandas is now
|
|||
|
|
0.29.30 (GH41935)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Apr 5 13:40:30 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to version 1.4.2
|
|||
|
|
* Fixed regression in DataFrame.drop() and Series.drop() when
|
|||
|
|
Index had extension dtype and duplicates (GH45860)
|
|||
|
|
* Fixed regression in read_csv() killing python process when
|
|||
|
|
invalid file input was given for engine="c" (GH45957)
|
|||
|
|
* Fixed memory performance regression in Series.fillna() when
|
|||
|
|
called on a DataFrame column with inplace=True (GH46149)
|
|||
|
|
* Provided an alternative solution for passing custom Excel
|
|||
|
|
formats in Styler.to_excel(), which was a regression based on
|
|||
|
|
stricter CSS validation. Examples available in the
|
|||
|
|
documentation for Styler.format() (GH46152)
|
|||
|
|
* Fixed regression in DataFrame.replace() when a replacement
|
|||
|
|
value was also a target for replacement (GH46306)
|
|||
|
|
* Fixed regression in DataFrame.replace() when the replacement
|
|||
|
|
value was explicitly None when passed in a dictionary to
|
|||
|
|
to_replace (GH45601, GH45836)
|
|||
|
|
* Fixed regression when setting values with DataFrame.loc()
|
|||
|
|
losing MultiIndex names if DataFrame was empty before (GH46317)
|
|||
|
|
* Fixed regression when rendering boolean datatype columns with
|
|||
|
|
Styler() (GH46384)
|
|||
|
|
* Fixed regression in Groupby.rolling() with a frequency window
|
|||
|
|
that would raise a ValueError even if the datetimes within each
|
|||
|
|
group were monotonic (GH46061)
|
|||
|
|
* Fix some cases for subclasses that define their _constructor
|
|||
|
|
properties as general callables (GH46018)
|
|||
|
|
* Fixed “longtable” formatting in Styler.to_latex() when
|
|||
|
|
column_format is given in extended format (GH46037)
|
|||
|
|
* Fixed incorrect rendering in Styler.format() with
|
|||
|
|
hyperlinks="html" when the url contains a colon or other
|
|||
|
|
special characters (GH46389)
|
|||
|
|
* Improved error message in Rolling when window is a frequency
|
|||
|
|
and NaT is in the rolling axis (GH46087)
|
|||
|
|
- Copy back the installed package into the source tree
|
|||
|
|
* mimics upstreams test setup of an editable install
|
|||
|
|
* avoids conftest.py collection errors with pytest 7
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Feb 12 23:29:24 UTC 2022 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.4.1:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Regression in Series.mask() with inplace=True and PeriodDtype
|
|||
|
|
and an incompatible other coercing to a common dtype instead of
|
|||
|
|
raising (GH45546)
|
|||
|
|
+ Regression in assert_frame_equal() not respecting
|
|||
|
|
check_flags=False (GH45554)
|
|||
|
|
+ Regression in DataFrame.loc() raising ValueError when indexing
|
|||
|
|
(getting values) on a MultiIndex with one level (GH45779)
|
|||
|
|
+ Regression in Series.fillna() with downcast=False incorrectly
|
|||
|
|
downcasting object dtype (GH45603)
|
|||
|
|
+ Regression in api.types.is_bool_dtype() raising an
|
|||
|
|
AttributeError when evaluating a categorical Series (GH45615)
|
|||
|
|
+ Regression in DataFrame.iat() setting values leading to not
|
|||
|
|
propagating correctly in subsequent lookups (GH45684)
|
|||
|
|
+ Regression when setting values with DataFrame.loc() losing Index
|
|||
|
|
name if DataFrame was empty before (GH45621)
|
|||
|
|
+ Regression in join() with overlapping IntervalIndex raising an
|
|||
|
|
InvalidIndexError (GH45661)
|
|||
|
|
+ Regression when setting values with Series.loc() raising with
|
|||
|
|
all False indexer and Series on the right hand side (GH45778)
|
|||
|
|
+ Regression in read_sql() with a DBAPI2 connection that is not an
|
|||
|
|
instance of sqlite3.Connection incorrectly requiring SQLAlchemy
|
|||
|
|
be installed (GH45660)
|
|||
|
|
+ Regression in DateOffset when constructing with an integer
|
|||
|
|
argument with no keywords (e.g. pd.DateOffset(n)) would behave
|
|||
|
|
like datetime.timedelta(days=0) (GH45643, GH45890)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Fixed segfault in DataFrame.to_json() when dumping tz-aware
|
|||
|
|
datetimes in Python 3.10 (GH42130)
|
|||
|
|
+ Stopped emitting unnecessary FutureWarning in
|
|||
|
|
DataFrame.sort_values() with sparse columns (GH45618)
|
|||
|
|
+ Fixed window aggregations in DataFrame.rolling() and
|
|||
|
|
Series.rolling() to skip over unused elements (GH45647)
|
|||
|
|
+ Fixed builtin highlighters in Styler to be responsive to NA with
|
|||
|
|
nullable dtypes (GH45804)
|
|||
|
|
+ Bug in apply() with axis=1 raising an erroneous ValueError
|
|||
|
|
(GH45912)
|
|||
|
|
* Other
|
|||
|
|
+ Reverted performance speedup of DataFrame.corr() for
|
|||
|
|
method=pearson to fix precision regression (GH45640, GH42761)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jan 25 19:26:46 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Skip more tests on non-intel architectures
|
|||
|
|
boo#1167730
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Jan 23 11:52:29 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to version 1.4.0
|
|||
|
|
* https://pandas.pydata.org/docs/whatsnew/v1.4.0.html
|
|||
|
|
* Enhancements
|
|||
|
|
- Improved warning messages
|
|||
|
|
- Index can hold arbitrary ExtensionArrays
|
|||
|
|
- Enhancements in Styler
|
|||
|
|
- Multi-threaded CSV reading with a new CSV Engine based on
|
|||
|
|
pyarrow
|
|||
|
|
- Rank function for rolling and expanding windows
|
|||
|
|
- Groupby positional indexing
|
|||
|
|
- DataFrame.from_dict and DataFrame.to_dict have new 'tight'
|
|||
|
|
option
|
|||
|
|
* Notable bug fixes
|
|||
|
|
- Inconsistent date string parsing
|
|||
|
|
- Ignoring dtypes in concat with empty or all-NA columns
|
|||
|
|
- Null-values are no longer coerced to NaN-value in
|
|||
|
|
value_counts and mode
|
|||
|
|
- mangle_dupe_cols in read_csv no longer renames unique columns
|
|||
|
|
conflicting with target names
|
|||
|
|
- unstack and pivot_table no longer raises ValueError for
|
|||
|
|
result that would exceed int32 limit
|
|||
|
|
- groupby.apply consistent transform detection
|
|||
|
|
* API changes
|
|||
|
|
- Index.get_indexer_for() no longer accepts keyword arguments
|
|||
|
|
(other than target); in the past these would be silently
|
|||
|
|
ignored if the index was not unique (GH42310)
|
|||
|
|
- Change in the position of the min_rows argument in
|
|||
|
|
DataFrame.to_string() due to change in the docstring
|
|||
|
|
(GH44304)
|
|||
|
|
- Reduction operations for DataFrame or Series now raising a
|
|||
|
|
ValueError when None is passed for skipna (GH44178)
|
|||
|
|
- read_csv() and read_html() no longer raising an error when
|
|||
|
|
one of the header rows consists only of Unnamed: columns
|
|||
|
|
(GH13054)
|
|||
|
|
- Changed the name attribute of several holidays in
|
|||
|
|
USFederalHolidayCalendar to match official federal holiday
|
|||
|
|
names.
|
|||
|
|
* Deprecations
|
|||
|
|
- Deprecated Int64Index, UInt64Index & Float64Index
|
|||
|
|
- Deprecated Frame.append and Series.append
|
|||
|
|
- Split out test runs into separate flavors, optimize memory usage
|
|||
|
|
in pytest-xdist runs
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jan 4 21:56:55 UTC 2022 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to version 1.3.5
|
|||
|
|
* Fixed regression in Series.equals() when comparing floats with
|
|||
|
|
dtype object to None (GH44190)
|
|||
|
|
* Fixed regression in merge_asof() raising error when array was
|
|||
|
|
supplied as join key (GH42844)
|
|||
|
|
* Fixed regression when resampling DataFrame with DateTimeIndex
|
|||
|
|
with empty groups and uint8, uint16 or uint32 columns
|
|||
|
|
incorrectly raising RuntimeError (GH43329)
|
|||
|
|
* Fixed regression in creating a DataFrame from a timezone-aware
|
|||
|
|
Timestamp scalar near a Daylight Savings Time transition
|
|||
|
|
(GH42505)
|
|||
|
|
* Fixed performance regression in read_csv() (GH44106)
|
|||
|
|
* Fixed regression in Series.duplicated() and
|
|||
|
|
Series.drop_duplicates() when Series has Categorical dtype with
|
|||
|
|
boolean categories (GH44351)
|
|||
|
|
* Fixed regression in GroupBy.sum() with timedelta64[ns] dtype
|
|||
|
|
containing NaT failing to treat that value as NA (GH42659)
|
|||
|
|
* Fixed regression in RollingGroupby.cov() and
|
|||
|
|
RollingGroupby.corr() when other had the same shape as each
|
|||
|
|
group would incorrectly return superfluous groups in the result
|
|||
|
|
(GH42915)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Oct 20 12:29:00 UTC 2021 - Guillaume GARDET <guillaume.gardet@opensuse.org>
|
|||
|
|
|
|||
|
|
- Update to version 1.3.4
|
|||
|
|
* Fixed regression in DataFrame.convert_dtypes() incorrectly
|
|||
|
|
converts byte strings to strings (GH43183)
|
|||
|
|
* Fixed regression in GroupBy.agg() where it was failing
|
|||
|
|
silently with mixed data types along axis=1 and MultiIndex (GH43209)
|
|||
|
|
* Fixed regression in merge() with integer and NaN keys
|
|||
|
|
failing with outer merge (GH43550)
|
|||
|
|
* Fixed regression in DataFrame.corr() raising ValueError with
|
|||
|
|
method="spearman" on 32-bit platforms (GH43588)
|
|||
|
|
* Fixed performance regression in MultiIndex.equals() (GH43549)
|
|||
|
|
* Fixed performance regression in GroupBy.first() and GroupBy.last()
|
|||
|
|
with StringDtype (GH41596)
|
|||
|
|
* Fixed regression in Series.cat.reorder_categories() failing to
|
|||
|
|
update the categories on the Series (GH43232)
|
|||
|
|
* Fixed regression in Series.cat.categories() setter failing to
|
|||
|
|
update the categories on the Series (GH43334)
|
|||
|
|
* Fixed regression in read_csv() raising UnicodeDecodeError exception
|
|||
|
|
when memory_map=True (GH43540)
|
|||
|
|
* Fixed regression in DataFrame.explode() raising AssertionError
|
|||
|
|
when column is any scalar which is not a string (GH43314)
|
|||
|
|
* Fixed regression in Series.aggregate() attempting to pass args
|
|||
|
|
and kwargs multiple times to the user supplied func in certain cases (GH43357)
|
|||
|
|
* Fixed regression when iterating over a DataFrame.groupby.rolling
|
|||
|
|
object causing the resulting DataFrames to have an incorrect index if the input groupings were not sorted (GH43386)
|
|||
|
|
* Fixed regression in DataFrame.groupby.rolling.cov() and
|
|||
|
|
DataFrame.groupby.rolling.corr() computing incorrect results if the
|
|||
|
|
input groupings were not sorted (GH43386)
|
|||
|
|
* Fixed bug in pandas.DataFrame.groupby.rolling() and
|
|||
|
|
pandas.api.indexers.FixedForwardWindowIndexer leading to
|
|||
|
|
segfaults and window endpoints being mixed across groups (GH43267)
|
|||
|
|
* Fixed bug in GroupBy.mean() with datetimelike values
|
|||
|
|
including NaT values returning incorrect results (GH43132)
|
|||
|
|
* Fixed bug in Series.aggregate() not passing the first args
|
|||
|
|
to the user supplied func in certain cases (GH43357)
|
|||
|
|
* Fixed memory leaks in Series.rolling.quantile() and
|
|||
|
|
Series.rolling.median() (GH43339)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Sep 20 18:28:29 UTC 2021 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to version 1.3.3
|
|||
|
|
* Fixed regression in DataFrame constructor failing to broadcast
|
|||
|
|
for defined Index and len one list of Timestamp (GH42810)
|
|||
|
|
* Fixed regression in GroupBy.agg() incorrectly raising in some
|
|||
|
|
cases (GH42390)
|
|||
|
|
* Fixed regression in GroupBy.apply() where nan values were
|
|||
|
|
dropped even with dropna=False (GH43205)
|
|||
|
|
* Fixed regression in GroupBy.quantile() which was failing with
|
|||
|
|
pandas.NA (GH42849)
|
|||
|
|
* Fixed regression in merge() where on columns with
|
|||
|
|
ExtensionDtype or bool data types were cast to object in right
|
|||
|
|
and outer merge (GH40073)
|
|||
|
|
* Fixed regression in RangeIndex.where() and RangeIndex.putmask()
|
|||
|
|
raising AssertionError when result did not represent a
|
|||
|
|
RangeIndex (GH43240)
|
|||
|
|
* Fixed regression in read_parquet() where the fastparquet engine
|
|||
|
|
would not work properly with fastparquet 0.7.0 (GH43075)
|
|||
|
|
* Fixed regression in DataFrame.loc.__setitem__() raising
|
|||
|
|
ValueError when setting array as cell value (GH43422)
|
|||
|
|
* Fixed regression in is_list_like() where objects with __iter__
|
|||
|
|
set to None would be identified as iterable (GH43373)
|
|||
|
|
* Fixed regression in DataFrame.__getitem__() raising error for
|
|||
|
|
slice of DatetimeIndex when index is non monotonic (GH43223)
|
|||
|
|
* Fixed regression in Resampler.aggregate() when used after
|
|||
|
|
column selection would raise if func is a list of aggregation
|
|||
|
|
functions (GH42905)
|
|||
|
|
* Fixed regression in DataFrame.corr() where Kendall correlation
|
|||
|
|
would produce incorrect results for columns with repeated
|
|||
|
|
values (GH43401)
|
|||
|
|
* Fixed regression in DataFrame.groupby() where aggregation on
|
|||
|
|
columns with object types dropped results on those columns
|
|||
|
|
(GH42395, GH43108)
|
|||
|
|
* Fixed regression in Series.fillna() raising TypeError when
|
|||
|
|
filling float Series with list-like fill value having a dtype
|
|||
|
|
which couldn’t cast lostlessly (like float32 filled with
|
|||
|
|
float64) (GH43424)
|
|||
|
|
* Fixed regression in read_csv() raising AttributeError when the
|
|||
|
|
file handle is an tempfile.SpooledTemporaryFile object
|
|||
|
|
(GH43439)
|
|||
|
|
* Fixed performance regression in core.window.ewm.
|
|||
|
|
ExponentialMovingWindow.mean() (GH42333)
|
|||
|
|
* Performance improvement for DataFrame.__setitem__() when the
|
|||
|
|
key or value is not a DataFrame, or key is not list-like
|
|||
|
|
(GH43274)
|
|||
|
|
* Fixed bug in DataFrameGroupBy.agg() and DataFrameGroupBy.
|
|||
|
|
transform() with engine="numba" where index data was not being
|
|||
|
|
correctly passed into func (GH43133)
|
|||
|
|
- Release 1.3.2
|
|||
|
|
* Performance regression in DataFrame.isin() and Series.isin()
|
|||
|
|
for nullable data types (GH42714)
|
|||
|
|
* Regression in updating values of Series using boolean index,
|
|||
|
|
created by using DataFrame.pop() (GH42530)
|
|||
|
|
* Regression in DataFrame.from_records() with empty records
|
|||
|
|
(GH42456)
|
|||
|
|
* Fixed regression in DataFrame.shift() where TypeError occurred
|
|||
|
|
when shifting DataFrame created by concatenation of slices and
|
|||
|
|
fills with values (GH42719)
|
|||
|
|
* Regression in DataFrame.agg() when the func argument returned
|
|||
|
|
lists and axis=1 (GH42727)
|
|||
|
|
* Regression in DataFrame.drop() does nothing if MultiIndex has
|
|||
|
|
duplicates and indexer is a tuple or list of tuples (GH42771)
|
|||
|
|
* Fixed regression where read_csv() raised a ValueError when
|
|||
|
|
parameters names and prefix were both set to None (GH42387)
|
|||
|
|
* Fixed regression in comparisons between Timestamp object and
|
|||
|
|
datetime64 objects outside the implementation bounds for
|
|||
|
|
nanosecond datetime64 (GH42794)
|
|||
|
|
* Fixed regression in Styler.highlight_min() and Styler.
|
|||
|
|
highlight_max() where pandas.NA was not successfully ignored
|
|||
|
|
(GH42650)
|
|||
|
|
* Fixed regression in concat() where copy=False was not honored
|
|||
|
|
in axis=1 Series concatenation (GH42501)
|
|||
|
|
* Regression in Series.nlargest() and Series.nsmallest() with
|
|||
|
|
nullable integer or float dtype (GH42816)
|
|||
|
|
* Fixed regression in Series.quantile() with Int64Dtype (GH42626)
|
|||
|
|
* Fixed regression in Series.groupby() and DataFrame.groupby()
|
|||
|
|
where supplying the by argument with a Series named with a
|
|||
|
|
tuple would incorrectly raise (GH42731)
|
|||
|
|
* Bug in read_excel() modifies the dtypes dictionary when reading
|
|||
|
|
a file with duplicate columns (GH42462)
|
|||
|
|
* 1D slices over extension types turn into N-dimensional slices
|
|||
|
|
over ExtensionArrays (GH42430)
|
|||
|
|
* Fixed bug in Series.rolling() and DataFrame.rolling() not
|
|||
|
|
calculating window bounds correctly for the first row when
|
|||
|
|
center=True and window is an offset that covers all the rows
|
|||
|
|
(GH42753)
|
|||
|
|
* Styler.hide_columns() now hides the index name header row as
|
|||
|
|
well as column headers (GH42101)
|
|||
|
|
* Styler.set_sticky() has amended CSS to control the column/index
|
|||
|
|
names and ensure the correct sticky positions (GH42537)
|
|||
|
|
* Bug in de-serializing datetime indexes in PYTHONOPTIMIZED mode
|
|||
|
|
(GH42866)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Aug 17 09:09:49 UTC 2021 - Fabian Vogt <fvogt@suse.com>
|
|||
|
|
|
|||
|
|
- Drop suggests of python-numba (pulls in LLVM10) and python-QtPy
|
|||
|
|
(pulls in Qt3D, python-qt5 is enough) to make the TW DVD fit again
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu Aug 12 13:04:09 UTC 2021 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to version 1.3.1
|
|||
|
|
Fixed regressions
|
|||
|
|
* Pandas could not be built on PyPy (GH42355)
|
|||
|
|
* DataFrame constructed with an older version of pandas could not
|
|||
|
|
be unpickled (GH42345)
|
|||
|
|
* Performance regression in constructing a DataFrame from a
|
|||
|
|
dictionary of dictionaries (GH42248)
|
|||
|
|
* Fixed regression in DataFrame.agg() dropping values when the
|
|||
|
|
DataFrame had an Extension Array dtype, a duplicate index, and
|
|||
|
|
axis=1 (GH42380)
|
|||
|
|
* Fixed regression in DataFrame.astype() changing the order of
|
|||
|
|
noncontiguous data (GH42396)
|
|||
|
|
* Performance regression in DataFrame in reduction operations
|
|||
|
|
requiring casting such as DataFrame.mean() on integer data
|
|||
|
|
(GH38592)
|
|||
|
|
* Performance regression in DataFrame.to_dict() and Series.to_dict
|
|||
|
|
() when orient argument one of “records”, “dict”, or “split”
|
|||
|
|
(GH42352)
|
|||
|
|
* Fixed regression in indexing with a list subclass incorrectly
|
|||
|
|
raising TypeError (GH42433, GH42461)
|
|||
|
|
* Fixed regression in DataFrame.isin() and Series.isin() raising
|
|||
|
|
TypeError with nullable data containing at least one missing
|
|||
|
|
value (GH42405)
|
|||
|
|
* Regression in concat() between objects with bool dtype and
|
|||
|
|
integer dtype casting to object instead of to integer (GH42092)
|
|||
|
|
* Bug in Series constructor not accepting a dask.Array (GH38645)
|
|||
|
|
* Fixed regression for SettingWithCopyWarning displaying
|
|||
|
|
incorrect stacklevel (GH42570)
|
|||
|
|
* Fixed regression for merge_asof() raising KeyError when one of
|
|||
|
|
the by columns is in the index (GH34488)
|
|||
|
|
* Fixed regression in to_datetime() returning pd.NaT for inputs
|
|||
|
|
that produce duplicated values, when cache=True (GH42259)
|
|||
|
|
* Fixed regression in SeriesGroupBy.value_counts() that resulted
|
|||
|
|
in an IndexError when called on a Series with one row (GH42618)
|
|||
|
|
* Fixed bug in DataFrame.transpose() dropping values when the
|
|||
|
|
DataFrame had an Extension Array dtype and a duplicate index
|
|||
|
|
(GH42380)
|
|||
|
|
* Fixed bug in DataFrame.to_xml() raising KeyError when called
|
|||
|
|
with index=False and an offset index (GH42458)
|
|||
|
|
* Fixed bug in Styler.set_sticky() not handling index names
|
|||
|
|
correctly for single index columns case (GH42537)
|
|||
|
|
* Fixed bug in DataFrame.copy() failing to consolidate blocks in
|
|||
|
|
the result (GH42579)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu Jul 22 01:54:09 UTC 2021 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* update requirements
|
|||
|
|
* README.rst ->README.md
|
|||
|
|
|
|||
|
|
- update to version 1.3.0:
|
|||
|
|
* long changelog, see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.3.0.html
|
|||
|
|
|
|||
|
|
- changes from version 1.2.5:
|
|||
|
|
* Fixed regression in concat() between two DataFrame where one has
|
|||
|
|
an Index that is all-None and the other is DatetimeIndex
|
|||
|
|
incorrectly raising (GH40841)
|
|||
|
|
* Fixed regression in DataFrame.sum() and DataFrame.prod() when
|
|||
|
|
min_count and numeric_only are both given (GH41074)
|
|||
|
|
* Fixed regression in read_csv() when using memory_map=True with an
|
|||
|
|
non-UTF8 encoding (GH40986)
|
|||
|
|
* Fixed regression in DataFrame.replace() and Series.replace() when
|
|||
|
|
the values to replace is a NumPy float array (GH40371)
|
|||
|
|
* Fixed regression in ExcelFile() when a corrupt file is opened but
|
|||
|
|
not closed (GH41778)
|
|||
|
|
* Fixed regression in DataFrame.astype() with dtype=str failing to
|
|||
|
|
convert NaN in categorical columns (GH41797)
|
|||
|
|
- Unpack some files required for testing
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon May 3 01:33:01 UTC 2021 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.2.4:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in DataFrame.sum() when min_count greater than
|
|||
|
|
the DataFrame shape was passed resulted in a ValueError
|
|||
|
|
(GH39738)
|
|||
|
|
+ Fixed regression in DataFrame.to_json() raising AttributeError
|
|||
|
|
when run on PyPy (GH39837)
|
|||
|
|
+ Fixed regression in (in)equality comparison of pd.NaT with a
|
|||
|
|
non-datetimelike numpy array returning a scalar instead of an
|
|||
|
|
array (GH40722)
|
|||
|
|
+ Fixed regression in DataFrame.where() not returning a copy in
|
|||
|
|
the case of an all True condition (GH39595)
|
|||
|
|
+ Fixed regression in DataFrame.replace() raising IndexError when
|
|||
|
|
regex was a multi-key dictionary (GH39338)
|
|||
|
|
+ Fixed regression in repr of floats in an object column not
|
|||
|
|
respecting float_format when printed in the console or outputted
|
|||
|
|
through DataFrame.to_string(), DataFrame.to_html(), and
|
|||
|
|
DataFrame.to_latex() (GH40024)
|
|||
|
|
+ Fixed regression in NumPy ufuncs such as np.add not passing
|
|||
|
|
through all arguments for DataFrame (GH40662)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Mar 3 19:10:52 UTC 2021 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.2.3:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in to_excel() raising KeyError when giving
|
|||
|
|
duplicate columns with columns attribute (GH39695)
|
|||
|
|
+ Fixed regression in nullable integer unary ops propagating mask
|
|||
|
|
on assignment (GH39943)
|
|||
|
|
+ Fixed regression in DataFrame.__setitem__() not aligning
|
|||
|
|
DataFrame on right-hand side for boolean indexer (GH39931)
|
|||
|
|
+ Fixed regression in to_json() failing to use compression with
|
|||
|
|
URL-like paths that are internally opened in binary mode or with
|
|||
|
|
user-provided file objects that are opened in binary mode
|
|||
|
|
(GH39985)
|
|||
|
|
+ Fixed regression in Series.sort_index() and
|
|||
|
|
DataFrame.sort_index(), which exited with an ungraceful error
|
|||
|
|
when having kwarg ascending=None passed. Passing ascending=None
|
|||
|
|
is still considered invalid, and the improved error message
|
|||
|
|
suggests a proper usage (ascending must be a boolean or a
|
|||
|
|
list-like of boolean) (GH39434)
|
|||
|
|
+ Fixed regression in DataFrame.transform() and Series.transform()
|
|||
|
|
giving incorrect column labels when passed a dictionary with a
|
|||
|
|
mix of list and non-list values (GH40018)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Feb 14 20:53:06 UTC 2021 - Ben Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- Update to version 1.2.2
|
|||
|
|
* https://pandas.pydata.org/docs/whatsnew/v1.2.2.html
|
|||
|
|
* fixed regressions and bugfixes
|
|||
|
|
- Update to version 1.2.1
|
|||
|
|
* https://pandas.pydata.org/docs/whatsnew/v1.2.1.html
|
|||
|
|
* fixed regressions and bugfixes
|
|||
|
|
* Calling NumPy ufuncs on non-aligned DataFrames
|
|||
|
|
* The deprecated attributes _AXIS_NAMES and _AXIS_NUMBERS of
|
|||
|
|
DataFrame and Series will no longer show up in dir or inspect.
|
|||
|
|
getmembers calls (GH38740)
|
|||
|
|
* Bumped minimum fastparquet version to 0.4.0 to avoid
|
|||
|
|
AttributeError from numba (GH38344)
|
|||
|
|
* Bumped minimum pymysql version to 0.8.1 to avoid test failures
|
|||
|
|
(GH38344)
|
|||
|
|
* Added reference to backwards incompatible check_freq arg of
|
|||
|
|
testing.assert_frame_equal() and testing.assert_series_equal()
|
|||
|
|
in pandas 1.1.0 whats new (GH34050)
|
|||
|
|
- Update to version 1.2.0
|
|||
|
|
* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html
|
|||
|
|
* WARNING:
|
|||
|
|
The xlwt package for writing old-style .xls excel files is
|
|||
|
|
no longer maintained. The xlrd package is now only for reading
|
|||
|
|
old-style .xls files.
|
|||
|
|
Previously, the default argument engine=None to read_excel()
|
|||
|
|
would result in using the xlrd engine in many cases, including
|
|||
|
|
new Excel 2007+ (.xlsx) files. If openpyxl is installed, many
|
|||
|
|
of these cases will now default to using the openpyxl engine.
|
|||
|
|
See the read_excel() documentation for more details.
|
|||
|
|
Thus, it is strongly encouraged to install openpyxl to read
|
|||
|
|
Excel 2007+ (.xlsx) files. Please do not report issues when
|
|||
|
|
using ``xlrd`` to read ``.xlsx`` files. This is no longer
|
|||
|
|
supported, switch to using openpyxl instead.
|
|||
|
|
Attempting to use the xlwt engine will raise a FutureWarning
|
|||
|
|
unless the option io.excel.xls.writer is set to "xlwt". While
|
|||
|
|
this option is now deprecated and will also raise a
|
|||
|
|
FutureWarning, it can be globally set and the warning
|
|||
|
|
suppressed. Users are recommended to write .xlsx files using
|
|||
|
|
the openpyxl engine instead.
|
|||
|
|
Enhancements
|
|||
|
|
* Optionally disallow duplicate labels
|
|||
|
|
* Passing arguments to fsspec backends
|
|||
|
|
* Support for binary file handles in to_csv
|
|||
|
|
* Support for short caption and table position in to_latex
|
|||
|
|
* Change in default floating precision for read_csv and
|
|||
|
|
read_table
|
|||
|
|
* Experimental nullable data types for float data
|
|||
|
|
* Index/column name preservation when aggregating
|
|||
|
|
* GroupBy supports EWM operations directly
|
|||
|
|
Deprecations
|
|||
|
|
* https://pandas.pydata.org/docs/whatsnew/v1.2.0.html#deprecations
|
|||
|
|
- Skip python36 build: New minimum supported Python is 3.7.1
|
|||
|
|
- Only Suggest instead of Recommend optional dependencies. Nobody
|
|||
|
|
wants to pull in all of those packages by default.
|
|||
|
|
- Remove pandas-pytest.ini
|
|||
|
|
- Rework test deselection
|
|||
|
|
- Limit to 4 pytest-xdist workers, as collection consumes a lot of
|
|||
|
|
memory
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Fri Oct 30 22:30:53 UTC 2020 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.1.4:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in read_csv() raising a ValueError when names
|
|||
|
|
was of type dict_keys (GH36928)
|
|||
|
|
+ Fixed regression in read_csv() with more than 1M rows and
|
|||
|
|
specifying a index_col argument (GH37094)
|
|||
|
|
+ Fixed regression where attempting to mutate a DateOffset object
|
|||
|
|
would no longer raise an AttributeError (GH36940)
|
|||
|
|
+ Fixed regression where DataFrame.agg() would fail with TypeError
|
|||
|
|
when passed positional arguments to be passed on to the
|
|||
|
|
aggregation function (GH36948).
|
|||
|
|
+ Fixed regression in RollingGroupby with sort=False not being
|
|||
|
|
respected (GH36889)
|
|||
|
|
+ Fixed regression in Series.astype() converting None to "nan"
|
|||
|
|
when casting to string (GH36904)
|
|||
|
|
+ Fixed regression in Series.rank() method failing for read-only
|
|||
|
|
data (GH37290)
|
|||
|
|
+ Fixed regression in RollingGroupby causing a segmentation fault
|
|||
|
|
with Index of dtype object (GH36727)
|
|||
|
|
+ Fixed regression in DataFrame.resample(...).apply(...)() raised
|
|||
|
|
AttributeError when input was a DataFrame and only a Series was
|
|||
|
|
evaluated (GH36951)
|
|||
|
|
+ Fixed regression in DataFrame.groupby(..).std() with nullable
|
|||
|
|
integer dtype (GH37415)
|
|||
|
|
+ Fixed regression in PeriodDtype comparing both equal and unequal
|
|||
|
|
to its string representation (GH37265)
|
|||
|
|
+ Fixed regression where slicing DatetimeIndex raised
|
|||
|
|
AssertionError on irregular time series with pd.NaT or on
|
|||
|
|
unsorted indices (GH36953 and GH35509)
|
|||
|
|
+ Fixed regression in certain offsets (pd.offsets.Day() and below)
|
|||
|
|
no longer being hashable (GH37267)
|
|||
|
|
+ Fixed regression in StataReader which required chunksize to be
|
|||
|
|
manually set when using an iterator to read a dataset (GH37280)
|
|||
|
|
+ Fixed regression in setitem with DataFrame.iloc() which raised
|
|||
|
|
error when trying to set a value while filtering with a boolean
|
|||
|
|
list (GH36741)
|
|||
|
|
+ Fixed regression in setitem with a Series getting aligned before
|
|||
|
|
setting the values (GH37427)
|
|||
|
|
+ Fixed regression in MultiIndex.is_monotonic_increasing returning
|
|||
|
|
wrong results with NaN in at least one of the levels (GH37220)
|
|||
|
|
+ Fixed regression in inplace arithmetic operation on a Series not
|
|||
|
|
updating the parent DataFrame (GH36373)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug causing groupby(...).sum() and similar to not preserve
|
|||
|
|
metadata (GH29442)
|
|||
|
|
+ Bug in Series.isin() and DataFrame.isin() raising a ValueError
|
|||
|
|
when the target was read-only (GH37174)
|
|||
|
|
+ Bug in GroupBy.fillna() that introduced a performance regression
|
|||
|
|
after 1.0.5 (GH36757)
|
|||
|
|
+ Bug in DataFrame.info() was raising a KeyError when the
|
|||
|
|
DataFrame has integer column names (GH37245)
|
|||
|
|
+ Bug in DataFrameGroupby.apply() would drop a CategoricalIndex
|
|||
|
|
when grouped on (GH35792)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Oct 5 20:11:59 UTC 2020 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* updated cython version
|
|||
|
|
|
|||
|
|
- update to version 1.1.3:
|
|||
|
|
* Development Changes
|
|||
|
|
+ The minimum version of Cython is now the most recent bug-fix
|
|||
|
|
version (0.29.21) (GH36296).
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in DataFrame.agg(), DataFrame.apply(),
|
|||
|
|
Series.agg(), and Series.apply() where internal suffix is
|
|||
|
|
exposed to the users when no relabelling is applied (GH36189)
|
|||
|
|
+ Fixed regression in IntegerArray unary plus and minus operations
|
|||
|
|
raising a TypeError (GH36063)
|
|||
|
|
+ Fixed regression when adding a timedelta_range() to a Timestamp
|
|||
|
|
raised a ValueError (GH35897)
|
|||
|
|
+ Fixed regression in Series.__getitem__() incorrectly raising
|
|||
|
|
when the input was a tuple (GH35534)
|
|||
|
|
+ Fixed regression in Series.__getitem__() incorrectly raising
|
|||
|
|
when the input was a frozenset (GH35747)
|
|||
|
|
+ Fixed regression in modulo of Index, Series and DataFrame using
|
|||
|
|
numexpr using C not Python semantics (GH36047, GH36526)
|
|||
|
|
+ Fixed regression in read_excel() with engine="odf" caused
|
|||
|
|
UnboundLocalError in some cases where cells had nested child
|
|||
|
|
nodes (GH36122, GH35802)
|
|||
|
|
+ Fixed regression in DataFrame.replace() inconsistent replace
|
|||
|
|
when using a float in the replace method (GH35376)
|
|||
|
|
+ Fixed regression in Series.loc() on a Series with a MultiIndex
|
|||
|
|
containing Timestamp raising InvalidIndexError (GH35858)
|
|||
|
|
+ Fixed regression in DataFrame and Series comparisons between
|
|||
|
|
numeric arrays and strings (GH35700, GH36377)
|
|||
|
|
+ Fixed regression in DataFrame.apply() with raw=True and
|
|||
|
|
user-function returning string (GH35940)
|
|||
|
|
+ Fixed regression when setting empty DataFrame column to a Series
|
|||
|
|
in preserving name of index in frame (GH36527)
|
|||
|
|
+ Fixed regression in Period incorrect value for ordinal over the
|
|||
|
|
maximum timestamp (GH36430)
|
|||
|
|
+ Fixed regression in read_table() raised ValueError when
|
|||
|
|
delim_whitespace was set to True (GH35958)
|
|||
|
|
+ Fixed regression in Series.dt.normalize() when normalizing
|
|||
|
|
pre-epoch dates the result was shifted one day (GH36294)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in read_spss() where passing a pathlib.Path as path would
|
|||
|
|
raise a TypeError (GH33666)
|
|||
|
|
+ Bug in Series.str.startswith() and Series.str.endswith() with
|
|||
|
|
category dtype not propagating na parameter (GH36241)
|
|||
|
|
+ Bug in Series constructor where integer overflow would occur for
|
|||
|
|
sufficiently large scalar inputs when an index was provided
|
|||
|
|
(GH36291)
|
|||
|
|
+ Bug in DataFrame.sort_values() raising an AttributeError when
|
|||
|
|
sorting on a key that casts column to categorical dtype
|
|||
|
|
(GH36383)
|
|||
|
|
+ Bug in DataFrame.stack() raising a ValueError when stacking
|
|||
|
|
MultiIndex columns based on position when the levels had
|
|||
|
|
duplicate names (GH36353)
|
|||
|
|
+ Bug in Series.astype() showing too much precision when casting
|
|||
|
|
from np.float32 to string dtype (GH36451)
|
|||
|
|
+ Bug in Series.isin() and DataFrame.isin() when using NaN and a
|
|||
|
|
row length above 1,000,000 (GH22205)
|
|||
|
|
+ Bug in cut() raising a ValueError when passed a Series of labels
|
|||
|
|
with ordered=False (GH36603)
|
|||
|
|
* Other
|
|||
|
|
+ Reverted enhancement added in pandas-1.1.0 where
|
|||
|
|
timedelta_range() infers a frequency when passed start, stop,
|
|||
|
|
and periods (GH32377)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Sep 12 19:56:08 UTC 2020 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.1.2:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Regression in DatetimeIndex.intersection() incorrectly raising
|
|||
|
|
AssertionError when intersecting against a list (GH35876)
|
|||
|
|
+ Fix regression in updating a column inplace (e.g. using
|
|||
|
|
df['col'].fillna(.., inplace=True)) (GH35731)
|
|||
|
|
+ Fix regression in DataFrame.append() mixing tz-aware and
|
|||
|
|
tz-naive datetime columns (GH35460)
|
|||
|
|
+ Performance regression for RangeIndex.format() (GH35712)
|
|||
|
|
+ Regression where MultiIndex.get_loc() would return a slice
|
|||
|
|
spanning the full index when passed an empty list (GH35878)
|
|||
|
|
+ Fix regression in invalid cache after an indexing operation;
|
|||
|
|
this can manifest when setting which does not update the data
|
|||
|
|
(GH35521)
|
|||
|
|
+ Regression in DataFrame.replace() where a TypeError would be
|
|||
|
|
raised when attempting to replace elements of type Interval
|
|||
|
|
(GH35931)
|
|||
|
|
+ Fix regression in pickle roundtrip of the closed attribute of
|
|||
|
|
IntervalIndex (GH35658)
|
|||
|
|
+ Fixed regression in DataFrameGroupBy.agg() where a ValueError:
|
|||
|
|
buffer source array is read-only would be raised when the
|
|||
|
|
underlying array is read-only (GH36014)
|
|||
|
|
+ Fixed regression in Series.groupby.rolling() number of levels of
|
|||
|
|
MultiIndex in input was compressed to one (GH36018)
|
|||
|
|
+ Fixed regression in DataFrameGroupBy on an empty DataFrame
|
|||
|
|
(GH36197)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in DataFrame.eval() with object dtype column binary
|
|||
|
|
operations (GH35794)
|
|||
|
|
+ Bug in Series constructor raising a TypeError when constructing
|
|||
|
|
sparse datetime64 dtypes (GH35762)
|
|||
|
|
+ Bug in DataFrame.apply() with result_type="reduce" returning
|
|||
|
|
with incorrect index (GH35683)
|
|||
|
|
+ Bug in Series.astype() and DataFrame.astype() not respecting the
|
|||
|
|
errors argument when set to "ignore" for extension dtypes
|
|||
|
|
(GH35471)
|
|||
|
|
+ Bug in DateTimeIndex.format() and PeriodIndex.format() with
|
|||
|
|
name=True setting the first item to "None" where it should be ""
|
|||
|
|
(GH35712)
|
|||
|
|
+ Bug in Float64Index.__contains__() incorrectly raising TypeError
|
|||
|
|
instead of returning False (GH35788)
|
|||
|
|
+ Bug in Series constructor incorrectly raising a TypeError when
|
|||
|
|
passed an ordered set (GH36044)
|
|||
|
|
+ Bug in Series.dt.isocalendar() and DatetimeIndex.isocalendar()
|
|||
|
|
that returned incorrect year for certain dates (GH36032)
|
|||
|
|
+ Bug in DataFrame indexing returning an incorrect Series in some
|
|||
|
|
cases when the series has been altered and a cache not
|
|||
|
|
invalidated (GH33675)
|
|||
|
|
+ Bug in DataFrame.corr() causing subsequent indexing lookups to
|
|||
|
|
be incorrect (GH35882)
|
|||
|
|
+ Bug in import_optional_dependency() returning incorrect package
|
|||
|
|
names in cases where package name is different from import name
|
|||
|
|
(GH35948)
|
|||
|
|
+ Bug when setting empty DataFrame column to a Series in
|
|||
|
|
preserving name of index in frame (GH31368)
|
|||
|
|
* Other
|
|||
|
|
+ factorize() now supports na_sentinel=None to include NaN in the
|
|||
|
|
uniques of the values and remove dropna keyword which was
|
|||
|
|
unintentionally exposed to public facing API in 1.1 version from
|
|||
|
|
factorize() (GH35667)
|
|||
|
|
+ DataFrame.plot() and Series.plot() raise UserWarning about usage
|
|||
|
|
of FixedFormatter and FixedLocator (GH35684 and GH35945)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Sep 5 15:42:53 UTC 2020 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* updated versions of some requirements, require numpy during build
|
|||
|
|
* removed pandas-pr34991-npconstructor.patch, included upstream
|
|||
|
|
* removed sed commands that are not needed anymore
|
|||
|
|
* skip test to see if pandas is installed
|
|||
|
|
|
|||
|
|
- update to version 1.1.1:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in CategoricalIndex.format() where, when
|
|||
|
|
stringified scalars had different lengths, the shorter string
|
|||
|
|
would be right-filled with spaces, so it had the same length as
|
|||
|
|
the longest string (GH35439)
|
|||
|
|
+ Fixed regression in Series.truncate() when trying to truncate a
|
|||
|
|
single-element series (GH35544)
|
|||
|
|
+ Fixed regression where DataFrame.to_numpy() would raise a
|
|||
|
|
RuntimeError for mixed dtypes when converting to str (GH35455)
|
|||
|
|
+ Fixed regression where read_csv() would raise a ValueError when
|
|||
|
|
pandas.options.mode.use_inf_as_na was set to True (GH35493)
|
|||
|
|
+ Fixed regression where pandas.testing.assert_series_equal()
|
|||
|
|
would raise an error when non-numeric dtypes were passed with
|
|||
|
|
check_exact=True (GH35446)
|
|||
|
|
+ Fixed regression in .groupby(..).rolling(..) where column
|
|||
|
|
selection was ignored (GH35486)
|
|||
|
|
+ Fixed regression where DataFrame.interpolate() would raise a
|
|||
|
|
TypeError when the DataFrame was empty (GH35598)
|
|||
|
|
+ Fixed regression in DataFrame.shift() with axis=1 and
|
|||
|
|
heterogeneous dtypes (GH35488)
|
|||
|
|
+ Fixed regression in DataFrame.diff() with read-only data
|
|||
|
|
(GH35559)
|
|||
|
|
+ Fixed regression in .groupby(..).rolling(..) where a segfault
|
|||
|
|
would occur with center=True and an odd number of values
|
|||
|
|
(GH35552)
|
|||
|
|
+ Fixed regression in DataFrame.apply() where functions that
|
|||
|
|
altered the input in-place only operated on a single row
|
|||
|
|
(GH35462)
|
|||
|
|
+ Fixed regression in DataFrame.reset_index() would raise a
|
|||
|
|
ValueError on empty DataFrame with a MultiIndex with a
|
|||
|
|
datetime64 dtype level (GH35606, GH35657)
|
|||
|
|
+ Fixed regression where pandas.merge_asof() would raise a
|
|||
|
|
UnboundLocalError when left_index, right_index and tolerance
|
|||
|
|
were set (GH35558)
|
|||
|
|
+ Fixed regression in .groupby(..).rolling(..) where a custom
|
|||
|
|
BaseIndexer would be ignored (GH35557)
|
|||
|
|
+ Fixed regression in DataFrame.replace() and Series.replace()
|
|||
|
|
where compiled regular expressions would be ignored during
|
|||
|
|
replacement (GH35680)
|
|||
|
|
+ Fixed regression in aggregate() where a list of functions would
|
|||
|
|
produce the wrong results if at least one of the functions did
|
|||
|
|
not aggregate (GH35490)
|
|||
|
|
+ Fixed memory usage issue when instantiating large
|
|||
|
|
pandas.arrays.StringArray (GH35499)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in Styler whereby cell_ids argument had no effect due to
|
|||
|
|
other recent changes (GH35588) (GH35663)
|
|||
|
|
+ Bug in pandas.testing.assert_series_equal() and
|
|||
|
|
pandas.testing.assert_frame_equal() where extension dtypes were
|
|||
|
|
not ignored when check_dtypes was set to False (GH35715)
|
|||
|
|
+ Bug in to_timedelta() fails when arg is a Series with Int64
|
|||
|
|
dtype containing null values (GH35574)
|
|||
|
|
+ Bug in .groupby(..).rolling(..) where passing closed with column
|
|||
|
|
selection would raise a ValueError (GH35549)
|
|||
|
|
+ Bug in DataFrame constructor failing to raise ValueError in some
|
|||
|
|
cases when data and index have mismatched lengths (GH33437)
|
|||
|
|
|
|||
|
|
- changes from version 1.1.0:
|
|||
|
|
* Enhancements
|
|||
|
|
+ KeyErrors raised by loc specify missing labels
|
|||
|
|
+ All dtypes can now be converted to "StringDtype"
|
|||
|
|
+ Non-monotonic PeriodIndex Partial String Slicing
|
|||
|
|
+ Comparing two `DataFrame` or two `Series` and summarizing the
|
|||
|
|
differences
|
|||
|
|
+ Allow NA in groupby key
|
|||
|
|
+ Sorting with keys
|
|||
|
|
+ Fold argument support in Timestamp constructor
|
|||
|
|
+ Parsing timezone-aware format with different timezones in
|
|||
|
|
to_datetime
|
|||
|
|
+ Grouper and resample now supports the arguments origin and
|
|||
|
|
offset
|
|||
|
|
+ fsspec now used for filesystem handling
|
|||
|
|
* see
|
|||
|
|
https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.1.0.html
|
|||
|
|
for complete list
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Jul 22 10:04:49 UTC 2020 - Benjamin Greiner <code@bnavigator.de>
|
|||
|
|
|
|||
|
|
- support newest numpy by removing old test
|
|||
|
|
gh#pandas-dev/pandas#34991 pandas-pr34991-npconstructor.patch
|
|||
|
|
- move testing to multibuild flavor
|
|||
|
|
- run slow tests only on x86_64
|
|||
|
|
- replace gcc10-skip-one-test.patch with pytest -k deselection
|
|||
|
|
- tidy SKIP_TESTS declarations
|
|||
|
|
- add pandas-pytest.ini as pytest.ini in order to support the
|
|||
|
|
custom marks and filter some warnings
|
|||
|
|
- remove random hash seed
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jun 30 13:03:14 UTC 2020 - Matej Cepl <mcepl@suse.com>
|
|||
|
|
|
|||
|
|
- Skip test_raw_roundtrip on i586
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Jun 24 01:52:29 UTC 2020 - Todd R <toddrme2178@gmail.com>
|
|||
|
|
|
|||
|
|
- Update to version 1.0.5
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fix regression in read_parquet() when reading from file-like objects (GH34467).
|
|||
|
|
+ Fix regression in reading from public S3 buckets (GH34626).
|
|||
|
|
Note this disables the ability to read Parquet files from
|
|||
|
|
directories on S3 again (GH26388, GH34632), which was added
|
|||
|
|
in the 1.0.4 release, but is now targeted for pandas 1.1.0.
|
|||
|
|
+ Fixed regression in replace() raising an AssertionError when replacing values in an extension dtype with values of a different dtype (GH34530)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Fixed building from source with Python 3.8 fetching the wrong version of NumPy
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat May 30 23:39:38 UTC 2020 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to version 1.0.4:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fix regression where :meth:`Series.isna` and
|
|||
|
|
:meth:`DataFrame.isna` would raise for categorical dtype when
|
|||
|
|
pandas.options.mode.use_inf_as_na was set to True
|
|||
|
|
(:issue:`33594`)
|
|||
|
|
+ Fix regression in :meth:`GroupBy.first` and :meth:`GroupBy.last`
|
|||
|
|
where None is not preserved in object dtype (:issue:`32800`)
|
|||
|
|
+ Fix regression in DataFrame reductions using numeric_only=True
|
|||
|
|
and ExtensionArrays (:issue:`33256`).
|
|||
|
|
+ Fix performance regression in memory_usage(deep=True) for object
|
|||
|
|
dtype (:issue:`33012`)
|
|||
|
|
+ Fix regression where :meth:`Categorical.replace` would replace
|
|||
|
|
with NaN whenever the new value and replacement value were equal
|
|||
|
|
(:issue:`33288`)
|
|||
|
|
+ Fix regression where an ordered :class:`Categorical` containing
|
|||
|
|
only NaN values would raise rather than returning NaN when
|
|||
|
|
taking the minimum or maximum (:issue:`33450`)
|
|||
|
|
+ Fix regression in :meth:`DataFrameGroupBy.agg` with dictionary
|
|||
|
|
input losing ExtensionArray dtypes (:issue:`32194`)
|
|||
|
|
+ Fix to preserve the ability to index with the "nearest" method
|
|||
|
|
with xarray's CFTimeIndex, an :class:`Index` subclass
|
|||
|
|
(pydata/xarray#3751, :issue:`32905`).
|
|||
|
|
+ Fix regression in :meth:`DataFrame.describe` raising TypeError:
|
|||
|
|
unhashable type: 'dict' (:issue:`32409`)
|
|||
|
|
+ Fix regression in :meth:`DataFrame.replace` casts columns to
|
|||
|
|
object dtype if items in to_replace not in values
|
|||
|
|
(:issue:`32988`)
|
|||
|
|
+ Fix regression in :meth:`Series.groupby` would raise ValueError
|
|||
|
|
when grouping by :class:`PeriodIndex` level (:issue:`34010`)
|
|||
|
|
+ Fix regression in :meth:`GroupBy.rolling.apply` ignores args and
|
|||
|
|
kwargs parameters (:issue:`33433`)
|
|||
|
|
+ Fix regression in error message with np.min or np.max on
|
|||
|
|
unordered :class:`Categorical` (:issue:`33115`)
|
|||
|
|
+ Fix regression in :meth:`DataFrame.loc` and :meth:`Series.loc`
|
|||
|
|
throwing an error when a datetime64[ns, tz] value is provided
|
|||
|
|
(:issue:`32395`)
|
|||
|
|
* Bug fixes
|
|||
|
|
+ Bug in :meth:`SeriesGroupBy.first`, :meth:`SeriesGroupBy.last`,
|
|||
|
|
:meth:`SeriesGroupBy.min`, and :meth:`SeriesGroupBy.max`
|
|||
|
|
returning floats when applied to nullable Booleans
|
|||
|
|
(:issue:`33071`)
|
|||
|
|
+ Bug in :meth:`Rolling.min` and :meth:`Rolling.max`: Growing
|
|||
|
|
memory usage after multiple calls when using a fixed window
|
|||
|
|
(:issue:`30726`)
|
|||
|
|
+ Bug in :meth:`~DataFrame.to_parquet` was not raising
|
|||
|
|
PermissionError when writing to a private s3 bucket with invalid
|
|||
|
|
creds. (:issue:`27679`)
|
|||
|
|
+ Bug in :meth:`~DataFrame.to_csv` was silently failing when
|
|||
|
|
writing to an invalid s3 bucket. (:issue:`32486`)
|
|||
|
|
+ Bug in :meth:`read_parquet` was raising a FileNotFoundError when
|
|||
|
|
passed an s3 directory path. (:issue:`26388`)
|
|||
|
|
+ Bug in :meth:`~DataFrame.to_parquet` was throwing an
|
|||
|
|
AttributeError when writing a partitioned parquet file to s3
|
|||
|
|
(:issue:`27596`)
|
|||
|
|
+ Bug in :meth:`GroupBy.quantile` causes the quantiles to be
|
|||
|
|
shifted when the by axis contains NaN (:issue:`33200`,
|
|||
|
|
:issue:`33569`)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon May 25 20:21:59 UTC 2020 - Martin Liška <mliska@suse.cz>
|
|||
|
|
|
|||
|
|
- Add gcc10-skip-one-test.patch in order to fix a failing test-case
|
|||
|
|
on i586.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Mar 28 16:42:49 UTC 2020 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- update to 1.0.3:
|
|||
|
|
* Fixed regressions
|
|||
|
|
+ Fixed regression in resample.agg when the underlying data is
|
|||
|
|
non-writeable (GH31710)
|
|||
|
|
+ Fixed regression in DataFrame exponentiation with reindexing
|
|||
|
|
(GH32685)
|
|||
|
|
- Increase memory _constraints to 8GB RAM.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Mar 16 07:12:34 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
|
|||
|
|
|
|||
|
|
- Skip i586 failing tests with upstream ticket
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Fri Mar 13 00:13:11 UTC 2020 - Hans-Peter Jansen <hpj@urpla.net>
|
|||
|
|
|
|||
|
|
- Update to 1.0.2:
|
|||
|
|
* see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.2.html
|
|||
|
|
- Add pyperclip and Jinja2 as test dependencies
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Mar 9 15:19:33 UTC 2020 - Dirk Mueller <dmueller@suse.com>
|
|||
|
|
|
|||
|
|
- Update to 1.0.1:
|
|||
|
|
* see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.1.html
|
|||
|
|
* see https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.0.0.html
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jan 14 12:28:49 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
|
|||
|
|
|
|||
|
|
- Skip one test that fails on 32bit: test_encode_non_c_locale
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Nov 11 01:59:25 UTC 2019 - Steve Kowalik <steven.kowalik@suse.com>
|
|||
|
|
|
|||
|
|
- Update to version 0.25.3
|
|||
|
|
+ Support Python 3.8
|
|||
|
|
+ Bug fixes
|
|||
|
|
> Indexing
|
|||
|
|
* Fix regression in DataFrame.reindex() not following the limit argument
|
|||
|
|
* Fix regression in RangeIndex.get_indexer() for decreasing RangeIndex
|
|||
|
|
where target values may be improperly identified as missing/present
|
|||
|
|
> I/O
|
|||
|
|
* Fix regression in notebook display where <th> tags were missing for
|
|||
|
|
DataFrame.index values
|
|||
|
|
* Regression in to_csv() where writing a Series or DataFrame indexed by
|
|||
|
|
an IntervalIndex would incorrectly raise a TypeError
|
|||
|
|
* Fix to_csv() with ExtensionArray with list-like values
|
|||
|
|
> Groupby/resample/rolling
|
|||
|
|
* Bug incorrectly raising an IndexError when passing a list of quantiles
|
|||
|
|
to pandas.core.groupby.DataFrameGroupBy.quantile()
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.shift(),
|
|||
|
|
pandas.core.groupby.GroupBy.bfill() and
|
|||
|
|
pandas.core.groupby.GroupBy.ffill() where timezone information would
|
|||
|
|
be dropped
|
|||
|
|
* Bug in DataFrameGroupBy.quantile() where NA values in the grouping
|
|||
|
|
could cause segfaults or incorrect results
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Fri Sep 20 09:40:08 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
|
|||
|
|
|
|||
|
|
- Use xdist to run tests in threads, it takes ages otherwise
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Aug 28 15:32:47 UTC 2019 - Todd R <toddrme2178@gmail.com>
|
|||
|
|
|
|||
|
|
- Update to version 0.25.1
|
|||
|
|
+ Bug fixes
|
|||
|
|
> Categorical
|
|||
|
|
* Bug in :meth:`Categorical.fillna` that would replace all values, not just those that are ``NaN``
|
|||
|
|
> Datetimelike
|
|||
|
|
* Bug in :func:`to_datetime` where passing a timezone-naive :class:`DatetimeArray` or :class:`DatetimeIndex` and ``utc=True`` would incorrectly return a timezone-naive result
|
|||
|
|
* Bug in :meth:`Period.to_timestamp` where a :class:`Period` outside the :class:`Timestamp` implementation bounds (roughly 1677-09-21 to 2262-04-11) would return an incorrect :class:`Timestamp` instead of raising ``OutOfBoundsDatetime``
|
|||
|
|
* Bug in iterating over :class:`DatetimeIndex` when the underlying data is read-only
|
|||
|
|
> Timezones
|
|||
|
|
* Bug in :class:`Index` where a numpy object array with a timezone aware :class:`Timestamp` and ``np.nan`` would not return a :class:`DatetimeIndex`
|
|||
|
|
> Numeric
|
|||
|
|
* Bug in :meth:`Series.interpolate` when using a timezone aware :class:`DatetimeIndex`
|
|||
|
|
* Bug when printing negative floating point complex numbers would raise an ``IndexError``
|
|||
|
|
* Bug where :class:`DataFrame` arithmetic operators such as :meth:`DataFrame.mul` with a :class:`Series` with axis=1 would raise an ``AttributeError`` on :class:`DataFrame` larger than the minimum threshold to invoke numexpr
|
|||
|
|
* Bug in :class:`DataFrame` arithmetic where missing values in results were incorrectly masked with ``NaN`` instead of ``Inf``
|
|||
|
|
> Conversion
|
|||
|
|
* Improved the warnings for the deprecated methods :meth:`Series.real` and :meth:`Series.imag`
|
|||
|
|
> Interval
|
|||
|
|
* Bug in :class:`IntervalIndex` where `dir(obj)` would raise ``ValueError``
|
|||
|
|
> Indexing
|
|||
|
|
* Bug in partial-string indexing returning a NumPy array rather than a ``Series`` when indexing with a scalar like ``.loc['2015']``
|
|||
|
|
* Break reference cycle involving :class:`Index` and other index classes to allow garbage collection of index objects without running the GC.
|
|||
|
|
* Fix regression in assigning values to a single column of a DataFrame with a ``MultiIndex`` columns.
|
|||
|
|
* Fix regression in ``.ix`` fallback with an ``IntervalIndex``.
|
|||
|
|
> Missing
|
|||
|
|
* Bug in :func:`pandas.isnull` or :func:`pandas.isna` when the input is a type e.g. ``type(pandas.Series())``
|
|||
|
|
> I/O
|
|||
|
|
* Avoid calling ``S3File.s3`` when reading parquet, as this was removed in s3fs version 0.3.0
|
|||
|
|
* Better error message when a negative header is passed in :func:`pandas.read_csv`
|
|||
|
|
* Follow the ``min_rows`` display option (introduced in v0.25.0) correctly in the HTML repr in the notebook.
|
|||
|
|
> Plotting
|
|||
|
|
* Added a ``pandas_plotting_backends`` entrypoint group for registering plot backends. See :ref:`extending.plotting-backends` for more.
|
|||
|
|
* Fixed the re-instatement of Matplotlib datetime converters after calling
|
|||
|
|
:meth:`pandas.plotting.deregister_matplotlib_converters`.
|
|||
|
|
* Fix compatibility issue with matplotlib when passing a pandas ``Index`` to a plot call.
|
|||
|
|
> Groupby/resample/rolling
|
|||
|
|
* Fixed regression in :meth:`pands.core.groupby.DataFrameGroupBy.quantile` raising when multiple quantiles are given
|
|||
|
|
* Bug in :meth:`pandas.core.groupby.DataFrameGroupBy.transform` where applying a timezone conversion lambda function would drop timezone information
|
|||
|
|
* Bug in :meth:`pandas.core.groupby.GroupBy.nth` where ``observed=False`` was being ignored for Categorical groupers
|
|||
|
|
* Bug in windowing over read-only arrays
|
|||
|
|
* Fixed segfault in `pandas.core.groupby.DataFrameGroupBy.quantile` when an invalid quantile was passed
|
|||
|
|
> Reshaping
|
|||
|
|
* A ``KeyError`` is now raised if ``.unstack()`` is called on a :class:`Series` or :class:`DataFrame` with a flat :class:`Index` passing a name which is not the correct one
|
|||
|
|
* Bug :meth:`merge_asof` could not merge :class:`Timedelta` objects when passing `tolerance` kwarg
|
|||
|
|
* Bug in :meth:`DataFrame.crosstab` when ``margins`` set to ``True`` and ``normalize`` is not ``False``, an error is raised.
|
|||
|
|
* :meth:`DataFrame.join` now suppresses the ``FutureWarning`` when the sort parameter is specified
|
|||
|
|
* Bug in :meth:`DataFrame.join` raising with readonly arrays
|
|||
|
|
> Sparse
|
|||
|
|
* Bug in reductions for :class:`Series` with Sparse dtypes
|
|||
|
|
> Other
|
|||
|
|
* Bug in :meth:`Series.replace` and :meth:`DataFrame.replace` when replacing timezone-aware timestamps using a dict-like replacer
|
|||
|
|
* Bug in :meth:`Series.rename` when using a custom type indexer. Now any value that isn't callable or dict-like is treated as a scalar.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Jul 22 15:36:34 UTC 2019 - Todd R <toddrme2178@gmail.com>
|
|||
|
|
|
|||
|
|
- Update to Version 0.25.0
|
|||
|
|
+ Warning
|
|||
|
|
* Starting with the 0.25.x series of releases, pandas only supports Python 3.5.3 and higher.
|
|||
|
|
* The minimum supported Python version will be bumped to 3.6 in a future release.
|
|||
|
|
* Panel has been fully removed. For N-D labeled data structures, please
|
|||
|
|
use xarray
|
|||
|
|
* read_pickle read_msgpack are only guaranteed backwards compatible back to
|
|||
|
|
pandas version 0.20.3
|
|||
|
|
+ Enhancements
|
|||
|
|
* Groupby aggregation with relabeling
|
|||
|
|
Pandas has added special groupby behavior, known as "named aggregation", for naming the
|
|||
|
|
output columns when applying multiple aggregation functions to specific columns.
|
|||
|
|
* Groupby Aggregation with multiple lambdas
|
|||
|
|
You can now provide multiple lambda functions to a list-like aggregation in
|
|||
|
|
pandas.core.groupby.GroupBy.agg.
|
|||
|
|
* Better repr for MultiIndex
|
|||
|
|
Printing of MultiIndex instances now shows tuples of each row and ensures
|
|||
|
|
that the tuple items are vertically aligned, so it's now easier to understand
|
|||
|
|
the structure of the MultiIndex.
|
|||
|
|
* Shorter truncated repr for Series and DataFrame
|
|||
|
|
Currently, the default display options of pandas ensure that when a Series
|
|||
|
|
or DataFrame has more than 60 rows, its repr gets truncated to this maximum
|
|||
|
|
of 60 rows (the display.max_rows option). However, this still gives
|
|||
|
|
a repr that takes up a large part of the vertical screen estate. Therefore,
|
|||
|
|
a new option display.min_rows is introduced with a default of 10 which
|
|||
|
|
determines the number of rows showed in the truncated repr:
|
|||
|
|
* Json normalize with max_level param support
|
|||
|
|
json_normalize normalizes the provided input dict to all
|
|||
|
|
nested levels. The new max_level parameter provides more control over
|
|||
|
|
which level to end normalization.
|
|||
|
|
* Series.explode to split list-like values to rows
|
|||
|
|
Series and DataFrame have gained the DataFrame.explode methods to transform
|
|||
|
|
list-likes to individual rows.
|
|||
|
|
* DataFrame.plot keywords logy, logx and loglog can now accept the value 'sym' for symlog scaling.
|
|||
|
|
* Added support for ISO week year format ('%G-%V-%u') when parsing datetimes using to_datetime
|
|||
|
|
* Indexing of DataFrame and Series now accepts zerodim np.ndarray
|
|||
|
|
* Timestamp.replace now supports the fold argument to disambiguate DST transition times
|
|||
|
|
* DataFrame.at_time and Series.at_time now support datetime.time objects with timezones
|
|||
|
|
* DataFrame.pivot_table now accepts an observed parameter which is passed to underlying calls to DataFrame.groupby to speed up grouping categorical data.
|
|||
|
|
* Series.str has gained Series.str.casefold method to removes all case distinctions present in a string
|
|||
|
|
* DataFrame.set_index now works for instances of abc.Iterator, provided their output is of the same length as the calling frame
|
|||
|
|
* DatetimeIndex.union now supports the sort argument. The behavior of the sort parameter matches that of Index.union
|
|||
|
|
* RangeIndex.union now supports the sort argument. If sort=False an unsorted Int64Index is always returned. sort=None is the default and returns a monotonically increasing RangeIndex if possible or a sorted Int64Index if not
|
|||
|
|
* TimedeltaIndex.intersection now also supports the sort keyword
|
|||
|
|
* DataFrame.rename now supports the errors argument to raise errors when attempting to rename nonexistent keys
|
|||
|
|
* Added api.frame.sparse for working with a DataFrame whose values are sparse
|
|||
|
|
* RangeIndex has gained ~RangeIndex.start, ~RangeIndex.stop, and ~RangeIndex.step attributes
|
|||
|
|
* datetime.timezone objects are now supported as arguments to timezone methods and constructors
|
|||
|
|
* DataFrame.query and DataFrame.eval now supports quoting column names with backticks to refer to names with spaces
|
|||
|
|
* merge_asof now gives a more clear error message when merge keys are categoricals that are not equal
|
|||
|
|
* pandas.core.window.Rolling supports exponential (or Poisson) window type
|
|||
|
|
* Error message for missing required imports now includes the original import error's text
|
|||
|
|
* DatetimeIndex and TimedeltaIndex now have a mean method
|
|||
|
|
* DataFrame.describe now formats integer percentiles without decimal point
|
|||
|
|
* Added support for reading SPSS .sav files using read_spss
|
|||
|
|
* Added new option plotting.backend to be able to select a plotting backend different than the existing matplotlib one. Use pandas.set_option('plotting.backend', '<backend-module>') where <backend-module is a library implementing the pandas plotting API
|
|||
|
|
* pandas.offsets.BusinessHour supports multiple opening hours intervals
|
|||
|
|
* read_excel can now use openpyxl to read Excel files via the engine='openpyxl' argument. This will become the default in a future release
|
|||
|
|
* pandas.io.excel.read_excel supports reading OpenDocument tables. Specify engine='odf' to enable. Consult the IO User Guide <io.ods> for more details
|
|||
|
|
* Interval, IntervalIndex, and ~arrays.IntervalArray have gained an ~Interval.is_empty attribute denoting if the given interval(s) are empty
|
|||
|
|
+ Backwards incompatible API changes
|
|||
|
|
* Indexing with date strings with UTC offsets
|
|||
|
|
Indexing a DataFrame or Series with a DatetimeIndex with a
|
|||
|
|
date string with a UTC offset would previously ignore the UTC offset. Now, the UTC offset
|
|||
|
|
is respected in indexing.
|
|||
|
|
* MultiIndex constructed from levels and codes
|
|||
|
|
Constructing a MultiIndex with NaN levels or codes value < -1 was allowed previously.
|
|||
|
|
Now, construction with codes value < -1 is not allowed and NaN levels' corresponding codes
|
|||
|
|
would be reassigned as -1.
|
|||
|
|
* Groupby.apply on DataFrame evaluates first group only once
|
|||
|
|
The implementation of DataFrameGroupBy.apply()
|
|||
|
|
previously evaluated the supplied function consistently twice on the first group
|
|||
|
|
to infer if it is safe to use a fast code path. Particularly for functions with
|
|||
|
|
side effects, this was an undesired behavior and may have led to surprises.
|
|||
|
|
* Concatenating sparse values
|
|||
|
|
When passed DataFrames whose values are sparse, concat will now return a
|
|||
|
|
Series or DataFrame with sparse values, rather than a SparseDataFrame .
|
|||
|
|
* The .str-accessor performs stricter type checks
|
|||
|
|
Due to the lack of more fine-grained dtypes, Series.str so far only checked whether the data was
|
|||
|
|
of object dtype. Series.str will now infer the dtype data *within* the Series; in particular,
|
|||
|
|
'bytes'-only data will raise an exception (except for Series.str.decode, Series.str.get,
|
|||
|
|
Series.str.len, Series.str.slice).
|
|||
|
|
* Categorical dtypes are preserved during groupby
|
|||
|
|
Previously, columns that were categorical, but not the groupby key(s) would be converted to object dtype during groupby operations. Pandas now will preserve these dtypes.
|
|||
|
|
* Incompatible Index type unions
|
|||
|
|
When performing Index.union operations between objects of incompatible dtypes,
|
|||
|
|
the result will be a base Index of dtype object. This behavior holds true for
|
|||
|
|
unions between Index objects that previously would have been prohibited. The dtype
|
|||
|
|
of empty Index objects will now be evaluated before performing union operations
|
|||
|
|
rather than simply returning the other Index object. Index.union can now be
|
|||
|
|
considered commutative, such that A.union(B) == B.union(A) .
|
|||
|
|
* DataFrame groupby ffill/bfill no longer return group labels
|
|||
|
|
The methods ffill, bfill, pad and backfill of
|
|||
|
|
DataFrameGroupBy <pandas.core.groupby.DataFrameGroupBy>
|
|||
|
|
previously included the group labels in the return value, which was
|
|||
|
|
inconsistent with other groupby transforms. Now only the filled values
|
|||
|
|
are returned.
|
|||
|
|
* DataFrame describe on an empty categorical / object column will return top and freq
|
|||
|
|
When calling DataFrame.describe with an empty categorical / object
|
|||
|
|
column, the 'top' and 'freq' columns were previously omitted, which was inconsistent with
|
|||
|
|
the output for non-empty columns. Now the 'top' and 'freq' columns will always be included,
|
|||
|
|
with numpy.nan in the case of an empty DataFrame
|
|||
|
|
* __str__ methods now call __repr__ rather than vice versa
|
|||
|
|
Pandas has until now mostly defined string representations in a Pandas objects's
|
|||
|
|
__str__/__unicode__/__bytes__ methods, and called __str__ from the __repr__
|
|||
|
|
method, if a specific __repr__ method is not found. This is not needed for Python3.
|
|||
|
|
In Pandas 0.25, the string representations of Pandas objects are now generally
|
|||
|
|
defined in __repr__, and calls to __str__ in general now pass the call on to
|
|||
|
|
the __repr__, if a specific __str__ method doesn't exist, as is standard for Python.
|
|||
|
|
This change is backward compatible for direct usage of Pandas, but if you subclass
|
|||
|
|
Pandas objects *and* give your subclasses specific __str__/__repr__ methods,
|
|||
|
|
you may have to adjust your __str__/__repr__ methods .
|
|||
|
|
* Indexing an IntervalIndex with Interval objects
|
|||
|
|
Indexing methods for IntervalIndex have been modified to require exact matches only for Interval queries.
|
|||
|
|
IntervalIndex methods previously matched on any overlapping Interval. Behavior with scalar points, e.g. querying
|
|||
|
|
with an integer, is unchanged .
|
|||
|
|
* Binary ufuncs on Series now align
|
|||
|
|
Applying a binary ufunc like numpy.power now aligns the inputs
|
|||
|
|
when both are Series .
|
|||
|
|
* Categorical.argsort now places missing values at the end
|
|||
|
|
Categorical.argsort now places missing values at the end of the array, making it
|
|||
|
|
consistent with NumPy and the rest of pandas .
|
|||
|
|
* Column order is preserved when passing a list of dicts to DataFrame
|
|||
|
|
Starting with Python 3.7 the key-order of dict is guaranteed <https://mail.python.org/pipermail/python-dev/2017-December/151283.html>_. In practice, this has been true since
|
|||
|
|
Python 3.6. The DataFrame constructor now treats a list of dicts in the same way as
|
|||
|
|
it does a list of OrderedDict, i.e. preserving the order of the dicts.
|
|||
|
|
This change applies only when pandas is running on Python>=3.6 .
|
|||
|
|
* Increased minimum versions for dependencies
|
|||
|
|
* DatetimeTZDtype will now standardize pytz timezones to a common timezone instance
|
|||
|
|
* Timestamp and Timedelta scalars now implement the to_numpy method as aliases to Timestamp.to_datetime64 and Timedelta.to_timedelta64, respectively.
|
|||
|
|
* Timestamp.strptime will now rise a NotImplementedError
|
|||
|
|
* Comparing Timestamp with unsupported objects now returns :pyNotImplemented instead of raising TypeError. This implies that unsupported rich comparisons are delegated to the other object, and are now consistent with Python 3 behavior for datetime objects
|
|||
|
|
* Bug in DatetimeIndex.snap which didn't preserving the name of the input Index
|
|||
|
|
* The arg argument in pandas.core.groupby.DataFrameGroupBy.agg has been renamed to func
|
|||
|
|
* The arg argument in pandas.core.window._Window.aggregate has been renamed to func
|
|||
|
|
* Most Pandas classes had a __bytes__ method, which was used for getting a python2-style bytestring representation of the object. This method has been removed as a part of dropping Python2
|
|||
|
|
* The .str-accessor has been disabled for 1-level MultiIndex, use MultiIndex.to_flat_index if necessary
|
|||
|
|
* Removed support of gtk package for clipboards
|
|||
|
|
* Using an unsupported version of Beautiful Soup 4 will now raise an ImportError instead of a ValueError
|
|||
|
|
* Series.to_excel and DataFrame.to_excel will now raise a ValueError when saving timezone aware data.
|
|||
|
|
* ExtensionArray.argsort places NA values at the end of the sorted array.
|
|||
|
|
* DataFrame.to_hdf and Series.to_hdf will now raise a NotImplementedError when saving a MultiIndex with extention data types for a fixed format.
|
|||
|
|
* Passing duplicate names in read_csv will now raise a ValueError
|
|||
|
|
+ Deprecations
|
|||
|
|
* Sparse subclasses
|
|||
|
|
The SparseSeries and SparseDataFrame subclasses are deprecated. Their functionality is better-provided
|
|||
|
|
by a Series or DataFrame with sparse values.
|
|||
|
|
* msgpack format
|
|||
|
|
The msgpack format is deprecated as of 0.25 and will be removed in a future version. It is recommended to use pyarrow for on-the-wire transmission of pandas objects.
|
|||
|
|
* The deprecated .ix[] indexer now raises a more visible FutureWarning instead of DeprecationWarning .
|
|||
|
|
* Deprecated the units=M (months) and units=Y (year) parameters for units of pandas.to_timedelta, pandas.Timedelta and pandas.TimedeltaIndex
|
|||
|
|
* pandas.concat has deprecated the join_axes-keyword. Instead, use DataFrame.reindex or DataFrame.reindex_like on the result or on the inputs
|
|||
|
|
* The SparseArray.values attribute is deprecated. You can use np.asarray(...) or
|
|||
|
|
the SparseArray.to_dense method instead .
|
|||
|
|
* The functions pandas.to_datetime and pandas.to_timedelta have deprecated the box keyword. Instead, use to_numpy or Timestamp.to_datetime64 or Timedelta.to_timedelta64.
|
|||
|
|
* The DataFrame.compound and Series.compound methods are deprecated and will be removed in a future version .
|
|||
|
|
* The internal attributes _start, _stop and _step attributes of RangeIndex have been deprecated.
|
|||
|
|
Use the public attributes ~RangeIndex.start, ~RangeIndex.stop and ~RangeIndex.step instead .
|
|||
|
|
* The Series.ftype, Series.ftypes and DataFrame.ftypes methods are deprecated and will be removed in a future version.
|
|||
|
|
Instead, use Series.dtype and DataFrame.dtypes .
|
|||
|
|
* The Series.get_values, DataFrame.get_values, Index.get_values,
|
|||
|
|
SparseArray.get_values and Categorical.get_values methods are deprecated.
|
|||
|
|
One of np.asarray(..) or ~Series.to_numpy can be used instead .
|
|||
|
|
* The 'outer' method on NumPy ufuncs, e.g. np.subtract.outer has been deprecated on Series objects. Convert the input to an array with Series.array first
|
|||
|
|
* Timedelta.resolution is deprecated and replaced with Timedelta.resolution_string. In a future version, Timedelta.resolution will be changed to behave like the standard library datetime.timedelta.resolution
|
|||
|
|
* read_table has been undeprecated.
|
|||
|
|
* Index.dtype_str is deprecated.
|
|||
|
|
* Series.imag and Series.real are deprecated.
|
|||
|
|
* Series.put is deprecated.
|
|||
|
|
* Index.item and Series.item is deprecated.
|
|||
|
|
* The default value ordered=None in ~pandas.api.types.CategoricalDtype has been deprecated in favor of ordered=False. When converting between categorical types ordered=True must be explicitly passed in order to be preserved.
|
|||
|
|
* Index.contains is deprecated. Use key in index (__contains__) instead .
|
|||
|
|
* DataFrame.get_dtype_counts is deprecated.
|
|||
|
|
* Categorical.ravel will return a Categorical instead of a np.ndarray
|
|||
|
|
+ Removal of prior version deprecations/changes
|
|||
|
|
* Removed Panel
|
|||
|
|
* Removed the previously deprecated sheetname keyword in read_excel
|
|||
|
|
* Removed the previously deprecated TimeGrouper
|
|||
|
|
* Removed the previously deprecated parse_cols keyword in read_excel
|
|||
|
|
* Removed the previously deprecated pd.options.html.border
|
|||
|
|
* Removed the previously deprecated convert_objects
|
|||
|
|
* Removed the previously deprecated select method of DataFrame and Series
|
|||
|
|
* Removed the previously deprecated behavior of Series treated as list-like in ~Series.cat.rename_categories
|
|||
|
|
* Removed the previously deprecated DataFrame.reindex_axis and Series.reindex_axis
|
|||
|
|
* Removed the previously deprecated behavior of altering column or index labels with Series.rename_axis or DataFrame.rename_axis
|
|||
|
|
* Removed the previously deprecated tupleize_cols keyword argument in read_html, read_csv, and DataFrame.to_csv
|
|||
|
|
* Removed the previously deprecated DataFrame.from.csv and Series.from_csv
|
|||
|
|
* Removed the previously deprecated raise_on_error keyword argument in DataFrame.where and DataFrame.mask
|
|||
|
|
* Removed the previously deprecated ordered and categories keyword arguments in astype
|
|||
|
|
* Removed the previously deprecated cdate_range
|
|||
|
|
* Removed the previously deprecated True option for the dropna keyword argument in SeriesGroupBy.nth
|
|||
|
|
* Removed the previously deprecated convert keyword argument in Series.take and DataFrame.take
|
|||
|
|
+ Performance improvements
|
|||
|
|
* Significant speedup in SparseArray initialization that benefits most operations, fixing performance regression introduced in v0.20.0
|
|||
|
|
* DataFrame.to_stata() is now faster when outputting data with any string or non-native endian columns
|
|||
|
|
* Improved performance of Series.searchsorted. The speedup is especially large when the dtype is
|
|||
|
|
int8/int16/int32 and the searched key is within the integer bounds for the dtype
|
|||
|
|
* Improved performance of pandas.core.groupby.GroupBy.quantile
|
|||
|
|
* Improved performance of slicing and other selected operation on a RangeIndex
|
|||
|
|
* RangeIndex now performs standard lookup without instantiating an actual hashtable, hence saving memory
|
|||
|
|
* Improved performance of read_csv by faster tokenizing and faster parsing of small float numbers
|
|||
|
|
* Improved performance of read_csv by faster parsing of N/A and boolean values
|
|||
|
|
* Improved performance of IntervalIndex.is_monotonic, IntervalIndex.is_monotonic_increasing and IntervalIndex.is_monotonic_decreasing by removing conversion to MultiIndex
|
|||
|
|
* Improved performance of DataFrame.to_csv when writing datetime dtypes
|
|||
|
|
* Improved performance of read_csv by much faster parsing of MM/YYYY and DD/MM/YYYY datetime formats
|
|||
|
|
* Improved performance of nanops for dtypes that cannot store NaNs. Speedup is particularly prominent for Series.all and Series.any
|
|||
|
|
* Improved performance of Series.map for dictionary mappers on categorical series by mapping the categories instead of mapping all values
|
|||
|
|
* Improved performance of IntervalIndex.intersection
|
|||
|
|
* Improved performance of read_csv by faster concatenating date columns without extra conversion to string for integer/float zero and float NaN; by faster checking the string for the possibility of being a date
|
|||
|
|
* Improved performance of IntervalIndex.is_unique by removing conversion to MultiIndex
|
|||
|
|
* Restored performance of DatetimeIndex.__iter__ by re-enabling specialized code path
|
|||
|
|
* Improved performance when building MultiIndex with at least one CategoricalIndex level
|
|||
|
|
* Improved performance by removing the need for a garbage collect when checking for SettingWithCopyWarning
|
|||
|
|
* For to_datetime changed default value of cache parameter to True
|
|||
|
|
* Improved performance of DatetimeIndex and PeriodIndex slicing given non-unique, monotonic data .
|
|||
|
|
* Improved performance of pd.read_json for index-oriented data.
|
|||
|
|
* Improved performance of MultiIndex.shape .
|
|||
|
|
+ Bug fixes
|
|||
|
|
> Categorical
|
|||
|
|
* Bug in DataFrame.at and Series.at that would raise exception if the index was a CategoricalIndex
|
|||
|
|
* Fixed bug in comparison of ordered Categorical that contained missing values with a scalar which sometimes incorrectly resulted in True
|
|||
|
|
* Bug in DataFrame.dropna when the DataFrame has a CategoricalIndex containing Interval objects incorrectly raised a TypeError
|
|||
|
|
> Datetimelike
|
|||
|
|
* Bug in to_datetime which would raise an (incorrect) ValueError when called with a date far into the future and the format argument specified instead of raising OutOfBoundsDatetime
|
|||
|
|
* Bug in to_datetime which would raise InvalidIndexError: Reindexing only valid with uniquely valued Index objects when called with cache=True, with arg including at least two different elements from the set {None, numpy.nan, pandas.NaT}
|
|||
|
|
* Bug in DataFrame and Series where timezone aware data with dtype='datetime64[ns] was not cast to naive
|
|||
|
|
* Improved Timestamp type checking in various datetime functions to prevent exceptions when using a subclassed datetime
|
|||
|
|
* Bug in Series and DataFrame repr where np.datetime64('NaT') and np.timedelta64('NaT') with dtype=object would be represented as NaN
|
|||
|
|
* Bug in to_datetime which does not replace the invalid argument with NaT when error is set to coerce
|
|||
|
|
* Bug in adding DateOffset with nonzero month to DatetimeIndex would raise ValueError
|
|||
|
|
* Bug in to_datetime which raises unhandled OverflowError when called with mix of invalid dates and NaN values with format='%Y%m%d' and error='coerce'
|
|||
|
|
* Bug in isin for datetimelike indexes; DatetimeIndex, TimedeltaIndex and PeriodIndex where the levels parameter was ignored.
|
|||
|
|
* Bug in to_datetime which raises TypeError for format='%Y%m%d' when called for invalid integer dates with length >= 6 digits with errors='ignore'
|
|||
|
|
* Bug when comparing a PeriodIndex against a zero-dimensional numpy array
|
|||
|
|
* Bug in constructing a Series or DataFrame from a numpy datetime64 array with a non-ns unit and out-of-bound timestamps generating rubbish data, which will now correctly raise an OutOfBoundsDatetime error .
|
|||
|
|
* Bug in date_range with unnecessary OverflowError being raised for very large or very small dates
|
|||
|
|
* Bug where adding Timestamp to a np.timedelta64 object would raise instead of returning a Timestamp
|
|||
|
|
* Bug where comparing a zero-dimensional numpy array containing a np.datetime64 object to a Timestamp would incorrect raise TypeError
|
|||
|
|
* Bug in to_datetime which would raise ValueError: Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True when called with cache=True, with arg including datetime strings with different offset
|
|||
|
|
> Timedelta
|
|||
|
|
* Bug in TimedeltaIndex.intersection where for non-monotonic indices in some cases an empty Index was returned when in fact an intersection existed
|
|||
|
|
* Bug with comparisons between Timedelta and NaT raising TypeError
|
|||
|
|
* Bug when adding or subtracting a BusinessHour to a Timestamp with the resulting time landing in a following or prior day respectively
|
|||
|
|
* Bug when comparing a TimedeltaIndex against a zero-dimensional numpy array
|
|||
|
|
> Timezones
|
|||
|
|
* Bug in DatetimeIndex.to_frame where timezone aware data would be converted to timezone naive data
|
|||
|
|
* Bug in to_datetime with utc=True and datetime strings that would apply previously parsed UTC offsets to subsequent arguments
|
|||
|
|
* Bug in Timestamp.tz_localize and Timestamp.tz_convert does not propagate freq
|
|||
|
|
* Bug in Series.at where setting Timestamp with timezone raises TypeError
|
|||
|
|
* Bug in DataFrame.update when updating with timezone aware data would return timezone naive data
|
|||
|
|
* Bug in to_datetime where an uninformative RuntimeError was raised when passing a naive Timestamp with datetime strings with mixed UTC offsets
|
|||
|
|
* Bug in to_datetime with unit='ns' would drop timezone information from the parsed argument
|
|||
|
|
* Bug in DataFrame.join where joining a timezone aware index with a timezone aware column would result in a column of NaN
|
|||
|
|
* Bug in date_range where ambiguous or nonexistent start or end times were not handled by the ambiguous or nonexistent keywords respectively
|
|||
|
|
* Bug in DatetimeIndex.union when combining a timezone aware and timezone unaware DatetimeIndex
|
|||
|
|
* Bug when applying a numpy reduction function (e.g. numpy.minimum) to a timezone aware Series
|
|||
|
|
> Numeric
|
|||
|
|
* Bug in to_numeric in which large negative numbers were being improperly handled
|
|||
|
|
* Bug in to_numeric in which numbers were being coerced to float, even though errors was not coerce
|
|||
|
|
* Bug in to_numeric in which invalid values for errors were being allowed
|
|||
|
|
* Bug in format in which floating point complex numbers were not being formatted to proper display precision and trimming
|
|||
|
|
* Bug in error messages in DataFrame.corr and Series.corr. Added the possibility of using a callable.
|
|||
|
|
* Bug in Series.divmod and Series.rdivmod which would raise an (incorrect) ValueError rather than return a pair of Series objects as result
|
|||
|
|
* Raises a helpful exception when a non-numeric index is sent to interpolate with methods which require numeric index.
|
|||
|
|
* Bug in ~pandas.eval when comparing floats with scalar operators, for example: x < -0.1
|
|||
|
|
* Fixed bug where casting all-boolean array to integer extension array failed
|
|||
|
|
* Bug in divmod with a Series object containing zeros incorrectly raising AttributeError
|
|||
|
|
* Inconsistency in Series floor-division (//) and divmod filling positive//zero with NaN instead of Inf
|
|||
|
|
> Conversion
|
|||
|
|
* Bug in DataFrame.astype() when passing a dict of columns and types the errors parameter was ignored.
|
|||
|
|
> Strings
|
|||
|
|
* Bug in the __name__ attribute of several methods of Series.str, which were set incorrectly
|
|||
|
|
* Improved error message when passing Series of wrong dtype to Series.str.cat
|
|||
|
|
> Interval
|
|||
|
|
* Construction of Interval is restricted to numeric, Timestamp and Timedelta endpoints
|
|||
|
|
* Fixed bug in Series/DataFrame not displaying NaN in IntervalIndex with missing values
|
|||
|
|
* Bug in IntervalIndex.get_loc where a KeyError would be incorrectly raised for a decreasing IntervalIndex
|
|||
|
|
* Bug in Index constructor where passing mixed closed Interval objects would result in a ValueError instead of an object dtype Index
|
|||
|
|
> Indexing
|
|||
|
|
* Improved exception message when calling DataFrame.iloc with a list of non-numeric objects .
|
|||
|
|
* Improved exception message when calling .iloc or .loc with a boolean indexer with different length .
|
|||
|
|
* Bug in KeyError exception message when indexing a MultiIndex with a non-existant key not displaying the original key .
|
|||
|
|
* Bug in .iloc and .loc with a boolean indexer not raising an IndexError when too few items are passed .
|
|||
|
|
* Bug in DataFrame.loc and Series.loc where KeyError was not raised for a MultiIndex when the key was less than or equal to the number of levels in the MultiIndex .
|
|||
|
|
* Bug in which DataFrame.append produced an erroneous warning indicating that a KeyError will be thrown in the future when the data to be appended contains new columns .
|
|||
|
|
* Bug in which DataFrame.to_csv caused a segfault for a reindexed data frame, when the indices were single-level MultiIndex .
|
|||
|
|
* Fixed bug where assigning a arrays.PandasArray to a pandas.core.frame.DataFrame would raise error
|
|||
|
|
* Allow keyword arguments for callable local reference used in the DataFrame.query string
|
|||
|
|
* Fixed a KeyError when indexing a MultiIndex` level with a list containing exactly one label, which is missing
|
|||
|
|
* Bug which produced AttributeError on partial matching Timestamp in a MultiIndex
|
|||
|
|
* Bug in Categorical and CategoricalIndex with Interval values when using the in operator (__contains) with objects that are not comparable to the values in the Interval
|
|||
|
|
* Bug in DataFrame.loc and DataFrame.iloc on a DataFrame with a single timezone-aware datetime64[ns] column incorrectly returning a scalar instead of a Series
|
|||
|
|
* Bug in CategoricalIndex and Categorical incorrectly raising ValueError instead of TypeError when a list is passed using the in operator (__contains__)
|
|||
|
|
* Bug in setting a new value in a Series with a Timedelta object incorrectly casting the value to an integer
|
|||
|
|
* Bug in Series setting a new key (__setitem__) with a timezone-aware datetime incorrectly raising ValueError
|
|||
|
|
* Bug in DataFrame.iloc when indexing with a read-only indexer
|
|||
|
|
* Bug in Series setting an existing tuple key (__setitem__) with timezone-aware datetime values incorrectly raising TypeError
|
|||
|
|
> Missing
|
|||
|
|
* Fixed misleading exception message in Series.interpolate if argument order is required, but omitted .
|
|||
|
|
* Fixed class type displayed in exception message in DataFrame.dropna if invalid axis parameter passed
|
|||
|
|
* A ValueError will now be thrown by DataFrame.fillna when limit is not a positive integer
|
|||
|
|
> MultiIndex
|
|||
|
|
* Bug in which incorrect exception raised by Timedelta when testing the membership of MultiIndex
|
|||
|
|
> I/O
|
|||
|
|
* Bug in DataFrame.to_html() where values were truncated using display options instead of outputting the full content
|
|||
|
|
* Fixed bug in missing text when using to_clipboard if copying utf-16 characters in Python 3 on Windows
|
|||
|
|
* Bug in read_json for orient='table' when it tries to infer dtypes by default, which is not applicable as dtypes are already defined in the JSON schema
|
|||
|
|
* Bug in read_json for orient='table' and float index, as it infers index dtype by default, which is not applicable because index dtype is already defined in the JSON schema
|
|||
|
|
* Bug in read_json for orient='table' and string of float column names, as it makes a column name type conversion to Timestamp, which is not applicable because column names are already defined in the JSON schema
|
|||
|
|
* Bug in json_normalize for errors='ignore' where missing values in the input data, were filled in resulting DataFrame with the string "nan" instead of numpy.nan
|
|||
|
|
* DataFrame.to_html now raises TypeError when using an invalid type for the classes parameter instead of AssertionError
|
|||
|
|
* Bug in DataFrame.to_string and DataFrame.to_latex that would lead to incorrect output when the header keyword is used
|
|||
|
|
* Bug in read_csv not properly interpreting the UTF8 encoded filenames on Windows on Python 3.6+
|
|||
|
|
* Improved performance in pandas.read_stata and pandas.io.stata.StataReader when converting columns that have missing values
|
|||
|
|
* Bug in DataFrame.to_html where header numbers would ignore display options when rounding
|
|||
|
|
* Bug in read_hdf where reading a table from an HDF5 file written directly with PyTables fails with a ValueError when using a sub-selection via the start or stop arguments
|
|||
|
|
* Bug in read_hdf not properly closing store after a KeyError is raised
|
|||
|
|
* Improved the explanation for the failure when value labels are repeated in Stata dta files and suggested work-arounds
|
|||
|
|
* Improved pandas.read_stata and pandas.io.stata.StataReader to read incorrectly formatted 118 format files saved by Stata
|
|||
|
|
* Improved the col_space parameter in DataFrame.to_html to accept a string so CSS length values can be set correctly
|
|||
|
|
* Fixed bug in loading objects from S3 that contain # characters in the URL
|
|||
|
|
* Adds use_bqstorage_api parameter to read_gbq to speed up downloads of large data frames. This feature requires version 0.10.0 of the pandas-gbq library as well as the google-cloud-bigquery-storage and fastavro libraries.
|
|||
|
|
* Fixed memory leak in DataFrame.to_json when dealing with numeric data
|
|||
|
|
* Bug in read_json where date strings with Z were not converted to a UTC timezone
|
|||
|
|
* Added cache_dates=True parameter to read_csv, which allows to cache unique dates when they are parsed
|
|||
|
|
* DataFrame.to_excel now raises a ValueError when the caller's dimensions exceed the limitations of Excel
|
|||
|
|
* Fixed bug in pandas.read_csv where a BOM would result in incorrect parsing using engine='python'
|
|||
|
|
* read_excel now raises a ValueError when input is of type pandas.io.excel.ExcelFile and engine param is passed since pandas.io.excel.ExcelFile has an engine defined
|
|||
|
|
* Bug while selecting from HDFStore with where='' specified .
|
|||
|
|
* Fixed bug in DataFrame.to_excel() where custom objects (i.e. PeriodIndex) inside merged cells were not being converted into types safe for the Excel writer
|
|||
|
|
* Bug in read_hdf where reading a timezone aware DatetimeIndex would raise a TypeError
|
|||
|
|
* Bug in to_msgpack and read_msgpack which would raise a ValueError rather than a FileNotFoundError for an invalid path
|
|||
|
|
* Fixed bug in DataFrame.to_parquet which would raise a ValueError when the dataframe had no columns
|
|||
|
|
* Allow parsing of PeriodDtype columns when using read_csv
|
|||
|
|
> Plotting
|
|||
|
|
* Fixed bug where api.extensions.ExtensionArray could not be used in matplotlib plotting
|
|||
|
|
* Bug in an error message in DataFrame.plot. Improved the error message if non-numerics are passed to DataFrame.plot
|
|||
|
|
* Bug in incorrect ticklabel positions when plotting an index that are non-numeric / non-datetime
|
|||
|
|
* Fixed bug causing plots of PeriodIndex timeseries to fail if the frequency is a multiple of the frequency rule code
|
|||
|
|
* Fixed bug when plotting a DatetimeIndex with datetime.timezone.utc timezone
|
|||
|
|
> Groupby/resample/rolling
|
|||
|
|
* Bug in pandas.core.resample.Resampler.agg with a timezone aware index where OverflowError would raise when passing a list of functions
|
|||
|
|
* Bug in pandas.core.groupby.DataFrameGroupBy.nunique in which the names of column levels were lost
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.agg when applying an aggregation function to timezone aware data
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.first and pandas.core.groupby.GroupBy.last where timezone information would be dropped
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.size when grouping only NA values
|
|||
|
|
* Bug in Series.groupby where observed kwarg was previously ignored
|
|||
|
|
* Bug in Series.groupby where using groupby with a MultiIndex Series with a list of labels equal to the length of the series caused incorrect grouping
|
|||
|
|
* Ensured that ordering of outputs in groupby aggregation functions is consistent across all versions of Python
|
|||
|
|
* Ensured that result group order is correct when grouping on an ordered Categorical and specifying observed=True
|
|||
|
|
* Bug in pandas.core.window.Rolling.min and pandas.core.window.Rolling.max that caused a memory leak
|
|||
|
|
* Bug in pandas.core.window.Rolling.count and pandas.core.window.Expanding.count was previously ignoring the axis keyword
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.idxmax and pandas.core.groupby.GroupBy.idxmin with datetime column would return incorrect dtype
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.cumsum, pandas.core.groupby.GroupBy.cumprod, pandas.core.groupby.GroupBy.cummin and pandas.core.groupby.GroupBy.cummax with categorical column having absent categories, would return incorrect result or segfault
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.nth where NA values in the grouping would return incorrect results
|
|||
|
|
* Bug in pandas.core.groupby.SeriesGroupBy.transform where transforming an empty group would raise a ValueError
|
|||
|
|
* Bug in pandas.core.frame.DataFrame.groupby where passing a pandas.core.groupby.grouper.Grouper would return incorrect groups when using the .groups accessor
|
|||
|
|
* Bug in pandas.core.groupby.GroupBy.agg where incorrect results are returned for uint64 columns.
|
|||
|
|
* Bug in pandas.core.window.Rolling.median and pandas.core.window.Rolling.quantile where MemoryError is raised with empty window
|
|||
|
|
* Bug in pandas.core.window.Rolling.median and pandas.core.window.Rolling.quantile where incorrect results are returned with closed='left' and closed='neither'
|
|||
|
|
* Improved pandas.core.window.Rolling, pandas.core.window.Window and pandas.core.window.EWM functions to exclude nuisance columns from results instead of raising errors and raise a DataError only if all columns are nuisance
|
|||
|
|
* Bug in pandas.core.window.Rolling.max and pandas.core.window.Rolling.min where incorrect results are returned with an empty variable window
|
|||
|
|
* Raise a helpful exception when an unsupported weighted window function is used as an argument of pandas.core.window.Window.aggregate
|
|||
|
|
> Reshaping
|
|||
|
|
* Bug in pandas.merge adds a string of None, if None is assigned in suffixes instead of remain the column name as-is .
|
|||
|
|
* Bug in merge when merging by index name would sometimes result in an incorrectly numbered index (missing index values are now assigned NA)
|
|||
|
|
* to_records now accepts dtypes to its column_dtypes parameter
|
|||
|
|
* Bug in concat where order of OrderedDict (and dict in Python 3.6+) is not respected, when passed in as objs argument
|
|||
|
|
* Bug in pivot_table where columns with NaN values are dropped even if dropna argument is False, when the aggfunc argument contains a list
|
|||
|
|
* Bug in concat where the resulting freq of two DatetimeIndex with the same freq would be dropped .
|
|||
|
|
* Bug in merge where merging with equivalent Categorical dtypes was raising an error
|
|||
|
|
* bug in DataFrame instantiating with a dict of iterators or generators (e.g. pd.DataFrame({'A': reversed(range(3))})) raised an error .
|
|||
|
|
* Bug in DataFrame instantiating with a range (e.g. pd.DataFrame(range(3))) raised an error .
|
|||
|
|
* Bug in DataFrame constructor when passing non-empty tuples would cause a segmentation fault
|
|||
|
|
* Bug in Series.apply failed when the series is a timezone aware DatetimeIndex
|
|||
|
|
* Bug in pandas.cut where large bins could incorrectly raise an error due to an integer overflow
|
|||
|
|
* Bug in DataFrame.sort_index where an error is thrown when a multi-indexed DataFrame is sorted on all levels with the initial level sorted last
|
|||
|
|
* Bug in Series.nlargest treats True as smaller than False
|
|||
|
|
* Bug in DataFrame.pivot_table with a IntervalIndex as pivot index would raise TypeError
|
|||
|
|
* Bug in which DataFrame.from_dict ignored order of OrderedDict when orient='index' .
|
|||
|
|
* Bug in DataFrame.transpose where transposing a DataFrame with a timezone-aware datetime column would incorrectly raise ValueError
|
|||
|
|
* Bug in pivot_table when pivoting a timezone aware column as the values would remove timezone information
|
|||
|
|
* Bug in merge_asof when specifying multiple by columns where one is datetime64[ns, tz] dtype
|
|||
|
|
> Sparse
|
|||
|
|
* Significant speedup in SparseArray initialization that benefits most operations, fixing performance regression introduced in v0.20.0
|
|||
|
|
* Bug in SparseFrame constructor where passing None as the data would cause default_fill_value to be ignored
|
|||
|
|
* Bug in SparseDataFrame when adding a column in which the length of values does not match length of index, AssertionError is raised instead of raising ValueError
|
|||
|
|
* Introduce a better error message in Series.sparse.from_coo so it returns a TypeError for inputs that are not coo matrices
|
|||
|
|
* Bug in numpy.modf on a SparseArray. Now a tuple of SparseArray is returned .
|
|||
|
|
> Build Changes
|
|||
|
|
* Fix install error with PyPy on macOS
|
|||
|
|
> ExtensionArray
|
|||
|
|
* Bug in factorize when passing an ExtensionArray with a custom na_sentinel .
|
|||
|
|
* Series.count miscounts NA values in ExtensionArrays
|
|||
|
|
* Added Series.__array_ufunc__ to better handle NumPy ufuncs applied to Series backed by extension arrays .
|
|||
|
|
* Keyword argument deep has been removed from ExtensionArray.copy
|
|||
|
|
> Other
|
|||
|
|
* Removed unused C functions from vendored UltraJSON implementation
|
|||
|
|
* Allow Index and RangeIndex to be passed to numpy min and max functions
|
|||
|
|
* Use actual class name in repr of empty objects of a Series subclass .
|
|||
|
|
* Bug in DataFrame where passing an object array of timezone-aware datetime objects would incorrectly raise ValueError
|
|||
|
|
- Remove upstream-included pandas-tests-memory.patch
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Mar 16 22:35:08 UTC 2019 - Arun Persaud <arun@gmx.de>
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* requier pytest-mock
|
|||
|
|
|
|||
|
|
- update to version 0.24.2:
|
|||
|
|
* Fixed Regressions
|
|||
|
|
+ Fixed regression in DataFrame.all() and DataFrame.any() where
|
|||
|
|
bool_only=True was ignored (GH25101)
|
|||
|
|
+ Fixed issue in DataFrame construction with passing a mixed list
|
|||
|
|
of mixed types could segfault. (GH25075)
|
|||
|
|
+ Fixed regression in DataFrame.apply() causing RecursionError
|
|||
|
|
when dict-like classes were passed as argument. (GH25196)
|
|||
|
|
+ Fixed regression in DataFrame.replace() where regex=True was
|
|||
|
|
only replacing patterns matching the start of the string
|
|||
|
|
(GH25259)
|
|||
|
|
+ Fixed regression in DataFrame.duplicated(), where empty
|
|||
|
|
dataframe was not returning a boolean dtyped Series. (GH25184)
|
|||
|
|
+ Fixed regression in Series.min() and Series.max() where
|
|||
|
|
numeric_only=True was ignored when the Series contained
|
|||
|
|
Categorical data (GH25299)
|
|||
|
|
+ Fixed regression in subtraction between Series objects with
|
|||
|
|
datetime64[ns] dtype incorrectly raising OverflowError when the
|
|||
|
|
Series on the right contains null values (GH25317)
|
|||
|
|
+ Fixed regression in TimedeltaIndex where np.sum(index)
|
|||
|
|
incorrectly returned a zero-dimensional object instead of a
|
|||
|
|
scalar (GH25282)
|
|||
|
|
+ Fixed regression in IntervalDtype construction where passing an
|
|||
|
|
incorrect string with ‘Interval’ as a prefix could result in a
|
|||
|
|
RecursionError. (GH25338)
|
|||
|
|
+ Fixed regression in creating a period-dtype array from a
|
|||
|
|
read-only NumPy array of period objects. (GH25403)
|
|||
|
|
+ Fixed regression in Categorical, where constructing it from a
|
|||
|
|
categorical Series and an explicit categories= that differed
|
|||
|
|
from that in the Series created an invalid object which could
|
|||
|
|
trigger segfaults. (GH25318)
|
|||
|
|
+ Fixed regression in to_timedelta() losing precision when
|
|||
|
|
converting floating data to Timedelta data (GH25077).
|
|||
|
|
+ Fixed pip installing from source into an environment without
|
|||
|
|
NumPy (GH25193)
|
|||
|
|
+ Fixed regression in DataFrame.replace() where large strings of
|
|||
|
|
numbers would be coerced into int64, causing an OverflowError
|
|||
|
|
(GH25616)
|
|||
|
|
+ Fixed regression in factorize() when passing a custom
|
|||
|
|
na_sentinel value with sort=True (GH25409).
|
|||
|
|
+ Fixed regression in DataFrame.to_csv() writing duplicate line
|
|||
|
|
endings with gzip compress (GH25311)
|
|||
|
|
* Bug Fixes
|
|||
|
|
+ I/O
|
|||
|
|
o Better handling of terminal printing when the terminal
|
|||
|
|
dimensions are not known (GH25080)
|
|||
|
|
o Bug in reading a HDF5 table-format DataFrame created in Python
|
|||
|
|
2, in Python 3 (GH24925)
|
|||
|
|
o Bug in reading a JSON with orient='table' generated by
|
|||
|
|
DataFrame.to_json() with index=False (GH25170)
|
|||
|
|
o Bug where float indexes could have misaligned values when
|
|||
|
|
printing (GH25061)
|
|||
|
|
+ Reshaping
|
|||
|
|
o Bug in transform() where applying a function to a timezone aware
|
|||
|
|
column would return a timezone naive result (GH24198)
|
|||
|
|
o Bug in DataFrame.join() when joining on a timezone aware
|
|||
|
|
DatetimeIndex (GH23931)
|
|||
|
|
o Visualization
|
|||
|
|
o Bug in Series.plot() where a secondary y axis could not be set
|
|||
|
|
to log scale (GH25545)
|
|||
|
|
+ Other
|
|||
|
|
o Bug in Series.is_unique() where single occurrences of NaN were
|
|||
|
|
not considered unique (GH25180)
|
|||
|
|
o Bug in merge() when merging an empty DataFrame with an Int64
|
|||
|
|
column or a non-empty DataFrame with an Int64 column that is all
|
|||
|
|
NaN (GH25183)
|
|||
|
|
o Bug in IntervalTree where a RecursionError occurs upon
|
|||
|
|
construction due to an overflow when adding endpoints, which
|
|||
|
|
also causes IntervalIndex to crash during indexing operations
|
|||
|
|
(GH25485)
|
|||
|
|
o Bug in Series.size raising for some extension-array-backed
|
|||
|
|
Series, rather than returning the size (GH25580)
|
|||
|
|
o Bug in resampling raising for nullable integer-dtype columns
|
|||
|
|
(GH25580)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Fri Feb 22 10:22:38 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
|
|||
|
|
|
|||
|
|
- Add patch to fix testrun on 32bit:
|
|||
|
|
https://github.com/pandas-dev/pandas/issues/25384
|
|||
|
|
* pandas-tests-memory.patch
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu Feb 21 10:45:17 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
|
|||
|
|
|
|||
|
|
- Add requirement for at least 4 GB of physical memory
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Feb 19 14:31:25 UTC 2019 - Tomáš Chvátal <tchvatal@suse.com>
|
|||
|
|
|
|||
|
|
- Do not delete tests, they are used even by other inheriting packages
|
|||
|
|
for their testing
|
|||
|
|
- Execute tests
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Feb 5 22:16:08 UTC 2019 - Todd R <toddrme2178@gmail.com>
|
|||
|
|
|
|||
|
|
- Update to 0.24.1
|
|||
|
|
* The default ``sort`` value for :meth:`Index.union` has changed from ``True`` to ``None`` (:issue:`24959`).
|
|||
|
|
The default *behavior*, however, remains the same
|
|||
|
|
* Fixed regression in :meth:`DataFrame.to_dict` with ``records`` orient raising an
|
|||
|
|
``AttributeError`` when the ``DataFrame`` contained more than 255 columns, or
|
|||
|
|
wrongly converting column names that were not valid python identifiers (:issue:`24939`, :issue:`24940`).
|
|||
|
|
* Fixed regression in :func:`read_sql` when passing certain queries with MySQL/pymysql (:issue:`24988`).
|
|||
|
|
* Fixed regression in :class:`Index.intersection` incorrectly sorting the values by default (:issue:`24959`).
|
|||
|
|
* Fixed regression in :func:`merge` when merging an empty ``DataFrame`` with multiple timezone-aware columns on one of the timezone-aware columns (:issue:`25014`).
|
|||
|
|
* Fixed regression in :meth:`Series.rename_axis` and :meth:`DataFrame.rename_axis` where passing ``None`` failed to remove the axis name (:issue:`25034`)
|
|||
|
|
* Fixed regression in :func:`to_timedelta` with `box=False` incorrectly returning a ``datetime64`` object instead of a ``timedelta64`` object (:issue:`24961`)
|
|||
|
|
* Fixed regression where custom hashable types could not be used as column keys in :meth:`DataFrame.set_index` (:issue:`24969`)
|
|||
|
|
* Bug in :meth:`DataFrame.groupby` with :class:`Grouper` when there is a time change (DST) and grouping frequency is ``'1d'`` (:issue:`24972`)
|
|||
|
|
* Fixed the warning for implicitly registered matplotlib converters not showing. See :ref:`whatsnew_0211.converters` for more (:issue:`24963`).
|
|||
|
|
* Fixed AttributeError when printing a DataFrame's HTML repr after accessing the IPython config object (:issue:`25036`)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Jan 28 15:46:08 UTC 2019 - Todd R <toddrme2178@gmail.com>
|
|||
|
|
|
|||
|
|
- Update to 0.24.0
|
|||
|
|
Highlights include:
|
|||
|
|
* Optional Integer NA Support
|
|||
|
|
* New APIs for accessing the array backing a Series or Index
|
|||
|
|
* A new top-level method for creating arrays
|
|||
|
|
* Store Interval and Period data in a Series or DataFrame
|
|||
|
|
* Support for joining on two MultiIndexes
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Aug 8 16:26:30 UTC 2018 - jengelh@inai.de
|
|||
|
|
|
|||
|
|
- Ensure neutrality of description. Remove future visions.
|
|||
|
|
Use noun phrase in summary.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Aug 4 19:07:22 UTC 2018 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to 0.23.4
|
|||
|
|
* Python 3.7 with Windows gave all missing values for rolling variance calculations (:issue:`21813`)
|
|||
|
|
* Bug where calling :func:`DataFrameGroupBy.agg` with a list of functions including ``ohlc`` as the non-initial element would raise a ``ValueError`` (:issue:`21716`)
|
|||
|
|
* Bug in ``roll_quantile`` caused a memory leak when calling ``.rolling(...).quantile(q)`` with ``q`` in (0,1) (:issue:`21965`)
|
|||
|
|
* Bug in :func:`Series.clip` and :func:`DataFrame.clip` cannot accept list-like threshold containing ``NaN`` (:issue:`19992`)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Jul 14 01:59:02 UTC 2018 - arun@gmx.de
|
|||
|
|
|
|||
|
|
- update to version 0.23.3:
|
|||
|
|
* This release fixes a build issue with the sdist for Python 3.7
|
|||
|
|
(GH21785) There are no other changes.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Jul 7 17:09:22 UTC 2018 - arun@gmx.de
|
|||
|
|
|
|||
|
|
- update to version 0.23.2:
|
|||
|
|
* Fixed Regressions
|
|||
|
|
+ Fixed regression in to_csv() when handling file-like object
|
|||
|
|
incorrectly (GH21471)
|
|||
|
|
+ Re-allowed duplicate level names of a MultiIndex. Accessing a
|
|||
|
|
level that has a duplicate name by name still raises an error
|
|||
|
|
(GH19029).
|
|||
|
|
+ Bug in both DataFrame.first_valid_index() and
|
|||
|
|
Series.first_valid_index() raised for a row index having
|
|||
|
|
duplicate values (GH21441)
|
|||
|
|
+ Fixed printing of DataFrames with hierarchical columns with long
|
|||
|
|
names (GH21180)
|
|||
|
|
+ Fixed regression in reindex() and groupby() with a MultiIndex or
|
|||
|
|
multiple keys that contains categorical datetime-like values
|
|||
|
|
(GH21390).
|
|||
|
|
+ Fixed regression in unary negative operations with object dtype
|
|||
|
|
(GH21380)
|
|||
|
|
+ Bug in Timestamp.ceil() and Timestamp.floor() when timestamp is
|
|||
|
|
a multiple of the rounding frequency (GH21262)
|
|||
|
|
+ Fixed regression in to_clipboard() that defaulted to copying
|
|||
|
|
dataframes with space delimited instead of tab delimited
|
|||
|
|
(GH21104)
|
|||
|
|
* Build Changes
|
|||
|
|
+ The source and binary distributions no longer include test data
|
|||
|
|
files, resulting in smaller download sizes. Tests relying on
|
|||
|
|
these data files will be skipped when using
|
|||
|
|
pandas.test(). (GH19320)
|
|||
|
|
* Bug Fixes
|
|||
|
|
* Conversion
|
|||
|
|
+ Bug in constructing Index with an iterator or generator
|
|||
|
|
(GH21470)
|
|||
|
|
+ Bug in Series.nlargest() for signed and unsigned integer dtypes
|
|||
|
|
when the minimum value is present (GH21426)
|
|||
|
|
* Indexing
|
|||
|
|
+ Bug in Index.get_indexer_non_unique() with categorical key
|
|||
|
|
(GH21448)
|
|||
|
|
+ Bug in comparison operations for MultiIndex where error was
|
|||
|
|
raised on equality / inequality comparison involving a
|
|||
|
|
MultiIndex with nlevels == 1 (GH21149)
|
|||
|
|
+ Bug in DataFrame.drop() behaviour is not consistent for unique
|
|||
|
|
and non-unique indexes (GH21494)
|
|||
|
|
+ Bug in DataFrame.duplicated() with a large number of columns
|
|||
|
|
causing a ‘maximum recursion depth exceeded’ (GH21524).
|
|||
|
|
* I/O
|
|||
|
|
+ Bug in read_csv() that caused it to incorrectly raise an error
|
|||
|
|
when nrows=0, low_memory=True, and index_col was not None
|
|||
|
|
(GH21141)
|
|||
|
|
+ Bug in json_normalize() when formatting the record_prefix with
|
|||
|
|
integer columns (GH21536)
|
|||
|
|
* Categorical
|
|||
|
|
+ Bug in rendering Series with Categorical dtype in rare
|
|||
|
|
conditions under Python 2.7 (GH21002)
|
|||
|
|
* Timezones
|
|||
|
|
+ Bug in Timestamp and DatetimeIndex where passing a Timestamp
|
|||
|
|
localized after a DST transition would return a datetime before
|
|||
|
|
the DST transition (GH20854)
|
|||
|
|
+ Bug in comparing DataFrame`s with tz-aware :class:`DatetimeIndex
|
|||
|
|
columns with a DST transition that raised a KeyError (GH19970)
|
|||
|
|
* Timedelta
|
|||
|
|
+ Bug in Timedelta where non-zero timedeltas shorter than 1
|
|||
|
|
microsecond were considered False (GH21484)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Jun 13 17:45:54 UTC 2018 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to 0.23.1
|
|||
|
|
+ Fixed Regressions
|
|||
|
|
* Reverted change to comparing a Series holding datetimes and a datetime.date object
|
|||
|
|
* Reverted the ability of to_sql() to perform multivalue inserts as this caused regression in certain cases (GH21103). In the future this will be made configurable.
|
|||
|
|
* Fixed regression in the DatetimeIndex.date and DatetimeIndex.time attributes in case of timezone-aware data: DatetimeIndex.time returned a tz-aware time instead of tz-naive (GH21267) and DatetimeIndex.date returned incorrect date when the input date has a non-UTC timezone (GH21230).
|
|||
|
|
* Fixed regression in pandas.io.json.json_normalize() when called with None values in nested levels in JSON, and to not drop keys with value as None (GH21158, GH21356).
|
|||
|
|
* Bug in to_csv() causes encoding error when compression and encoding are specified (GH21241, GH21118)
|
|||
|
|
* Bug preventing pandas from being importable with -OO optimization (GH21071)
|
|||
|
|
* Bug in Categorical.fillna() incorrectly raising a TypeError when value the individual categories are iterable and value is an iterable (GH21097, GH19788)
|
|||
|
|
* Fixed regression in constructors coercing NA values like None to strings when passing dtype=str (GH21083)
|
|||
|
|
* Regression in pivot_table() where an ordered Categorical with missing values for the pivot’s index would give a mis-aligned result (GH21133)
|
|||
|
|
* Fixed regression in merging on boolean index/columns (GH21119).
|
|||
|
|
+ Performance Improvements
|
|||
|
|
* Improved performance of CategoricalIndex.is_monotonic_increasing(), CategoricalIndex.is_monotonic_decreasing() and CategoricalIndex.is_monotonic() (GH21025)
|
|||
|
|
* Improved performance of CategoricalIndex.is_unique() (GH21107)
|
|||
|
|
+ Bug fixes
|
|||
|
|
* Groupby/Resample/Rolling
|
|||
|
|
> Bug in DataFrame.agg() where applying multiple aggregation functions to a DataFrame with duplicated column names would cause a stack overflow (GH21063)
|
|||
|
|
> Bug in pandas.core.groupby.GroupBy.ffill() and pandas.core.groupby.GroupBy.bfill() where the fill within a grouping would not always be applied as intended due to the implementations’ use of a non-stable sort (GH21207)
|
|||
|
|
> Bug in pandas.core.groupby.GroupBy.rank() where results did not scale to 100% when specifying method='dense' and pct=True
|
|||
|
|
> Bug in pandas.DataFrame.rolling() and pandas.Series.rolling() which incorrectly accepted a 0 window size rather than raising (GH21286)
|
|||
|
|
* Data-type specific
|
|||
|
|
> Bug in Series.str.replace() where the method throws TypeError on Python 3.5.2 (:issue: 21078)
|
|||
|
|
> Bug in Timedelta: where passing a float with a unit would prematurely round the float precision (:issue: 14156)
|
|||
|
|
> Bug in pandas.testing.assert_index_equal() which raised AssertionError incorrectly, when comparing two CategoricalIndex objects with param check_categorical=False (GH19776)
|
|||
|
|
* Sparse
|
|||
|
|
> Bug in SparseArray.shape which previously only returned the shape SparseArray.sp_values (GH21126)
|
|||
|
|
* Indexing
|
|||
|
|
> Bug in Series.reset_index() where appropriate error was not raised with an invalid level name (GH20925)
|
|||
|
|
> Bug in interval_range() when start/periods or end/periods are specified with float start or end (GH21161)
|
|||
|
|
> Bug in MultiIndex.set_names() where error raised for a MultiIndex with nlevels == 1 (GH21149)
|
|||
|
|
> Bug in IntervalIndex constructors where creating an IntervalIndex from categorical data was not fully supported (GH21243, issue:21253)
|
|||
|
|
> Bug in MultiIndex.sort_index() which was not guaranteed to sort correctly with level=1; this was also causing data misalignment in particular DataFrame.stack() operations (GH20994, GH20945, GH21052)
|
|||
|
|
* Plotting
|
|||
|
|
> New keywords (sharex, sharey) to turn on/off sharing of x/y-axis by subplots generated with pandas.DataFrame().groupby().boxplot() (:issue: 20968)
|
|||
|
|
* I/O
|
|||
|
|
> Bug in IO methods specifying compression='zip' which produced uncompressed zip archives (GH17778, GH21144)
|
|||
|
|
> Bug in DataFrame.to_stata() which prevented exporting DataFrames to buffers and most file-like objects (GH21041)
|
|||
|
|
> Bug in read_stata() and StataReader which did not correctly decode utf-8 strings on Python 3 from Stata 14 files (dta version 118) (GH21244)
|
|||
|
|
> Bug in IO JSON read_json() reading empty JSON schema with orient='table' back to DataFrame caused an error (GH21287)
|
|||
|
|
* Reshaping
|
|||
|
|
> Bug in concat() where error was raised in concatenating Series with numpy scalar and tuple names (GH21015)
|
|||
|
|
> Bug in concat() warning message providing the wrong guidance for future behavior (GH21101)
|
|||
|
|
* Other
|
|||
|
|
> Tab completion on Index in IPython no longer outputs deprecation warnings (GH21125)
|
|||
|
|
> Bug preventing pandas being used on Windows without C++ redistributable installed (GH21106)
|
|||
|
|
|
|||
|
|
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon May 21 17:50:23 UTC 2018 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update dependencies
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu May 17 12:28:44 UTC 2018 - tchvatal@suse.com
|
|||
|
|
|
|||
|
|
- Update to 0.23.0:
|
|||
|
|
* Round-trippable JSON format with ‘table’ orient.
|
|||
|
|
* Instantiation from dicts respects order for Python 3.6+.
|
|||
|
|
* Dependent column arguments for assign.
|
|||
|
|
* Merging / sorting on a combination of columns and index levels.
|
|||
|
|
* Extending Pandas with custom types.
|
|||
|
|
* Excluding unobserved categories from groupby.
|
|||
|
|
* Changes to make output shape of DataFrame.apply consistent.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu May 17 12:06:17 UTC 2018 - tchvatal@suse.com
|
|||
|
|
|
|||
|
|
- Do not bother generating pandas doc if it is already in both
|
|||
|
|
html and pdf provided by upstream, just point to the URL
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu Jan 11 11:18:48 UTC 2018 - tchvatal@suse.com
|
|||
|
|
|
|||
|
|
- Drop commented code to allow us py3 only build
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Jan 3 22:41:40 UTC 2018 - arun@gmx.de
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* update copyright year
|
|||
|
|
|
|||
|
|
- update to version 0.22.0:
|
|||
|
|
* Pandas 0.22.0 changes the handling of empty and all-NA sums and
|
|||
|
|
products. The summary is that
|
|||
|
|
+ The sum of an empty or all-NA Series is now 0
|
|||
|
|
+ The product of an empty or all-NA Series is now 1
|
|||
|
|
+ We’ve added a min_count parameter to .sum() and .prod()
|
|||
|
|
controlling the minimum number of valid values for the result to
|
|||
|
|
be valid. If fewer than min_count non-NA values are present, the
|
|||
|
|
result is NA. The default is 0. To return NaN, the 0.21
|
|||
|
|
behavior, use min_count=1.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Dec 16 23:04:54 UTC 2017 - arun@gmx.de
|
|||
|
|
|
|||
|
|
- update to version 0.21.1:
|
|||
|
|
* Highlights include:
|
|||
|
|
+ Temporarily restore matplotlib datetime plotting
|
|||
|
|
functionality. This should resolve issues for users who
|
|||
|
|
implicitly relied on pandas to plot datetimes with
|
|||
|
|
matplotlib. See here.
|
|||
|
|
+ Improvements to the Parquet IO functions introduced in
|
|||
|
|
0.21.0. See here.
|
|||
|
|
* Improvements to the Parquet IO functionality
|
|||
|
|
+ DataFrame.to_parquet() will now write non-default indexes when
|
|||
|
|
the underlying engine supports it. The indexes will be preserved
|
|||
|
|
when reading back in with read_parquet() (GH18581).
|
|||
|
|
+ read_parquet() now allows to specify the columns to read from a
|
|||
|
|
parquet file (GH18154)
|
|||
|
|
+ read_parquet() now allows to specify kwargs which are passed to
|
|||
|
|
the respective engine (GH18216)
|
|||
|
|
* Other Enhancements
|
|||
|
|
+ Timestamp.timestamp() is now available in Python 2.7. (GH17329)
|
|||
|
|
+ Grouper and TimeGrouper now have a friendly repr output
|
|||
|
|
(GH18203).
|
|||
|
|
* Deprecations
|
|||
|
|
+ pandas.tseries.register has been renamed to
|
|||
|
|
pandas.plotting.register_matplotlib_converters`() (GH18301)
|
|||
|
|
* Performance Improvements
|
|||
|
|
+ Improved performance of plotting large series/dataframes
|
|||
|
|
(GH18236).
|
|||
|
|
* Conversion
|
|||
|
|
+ Bug in TimedeltaIndex subtraction could incorrectly overflow
|
|||
|
|
when NaT is present (GH17791)
|
|||
|
|
+ Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex
|
|||
|
|
could fail to overflow (GH18020)
|
|||
|
|
+ Bug in IntervalIndex.copy() when copying and IntervalIndex with
|
|||
|
|
non-default closed (GH18339)
|
|||
|
|
+ Bug in DataFrame.to_dict() where columns of datetime that are
|
|||
|
|
tz-aware were not converted to required arrays when used with
|
|||
|
|
orient='records', raising"TypeError` (GH18372)
|
|||
|
|
+ Bug in DateTimeIndex and date_range() where mismatching tz-aware
|
|||
|
|
start and end timezones would not raise an err if end.tzinfo is
|
|||
|
|
None (GH18431)
|
|||
|
|
+ Bug in Series.fillna() which raised when passed a long integer
|
|||
|
|
on Python 2 (GH18159).
|
|||
|
|
* Indexing
|
|||
|
|
+ Bug in a boolean comparison of a datetime.datetime and a
|
|||
|
|
datetime64[ns] dtype Series (GH17965)
|
|||
|
|
+ Bug where a MultiIndex with more than a million records was not
|
|||
|
|
raising AttributeError when trying to access a missing attribute
|
|||
|
|
(GH18165)
|
|||
|
|
+ Bug in IntervalIndex constructor when a list of intervals is
|
|||
|
|
passed with non-default closed (GH18334)
|
|||
|
|
+ Bug in Index.putmask when an invalid mask passed (GH18368)
|
|||
|
|
+ Bug in masked assignment of a timedelta64[ns] dtype Series,
|
|||
|
|
incorrectly coerced to float (GH18493)
|
|||
|
|
* I/O
|
|||
|
|
+ Bug in class:~pandas.io.stata.StataReader not converting
|
|||
|
|
date/time columns with display formatting addressed
|
|||
|
|
(GH17990). Previously columns with display formatting were
|
|||
|
|
normally left as ordinal numbers and not converted to datetime
|
|||
|
|
objects.
|
|||
|
|
+ Bug in read_csv() when reading a compressed UTF-16 encoded file
|
|||
|
|
(GH18071)
|
|||
|
|
+ Bug in read_csv() for handling null values in index columns when
|
|||
|
|
specifying na_filter=False (GH5239)
|
|||
|
|
+ Bug in read_csv() when reading numeric category fields with high
|
|||
|
|
cardinality (GH18186)
|
|||
|
|
+ Bug in DataFrame.to_csv() when the table had MultiIndex columns,
|
|||
|
|
and a list of strings was passed in for header (GH5539)
|
|||
|
|
+ Bug in parsing integer datetime-like columns with specified
|
|||
|
|
format in read_sql (GH17855).
|
|||
|
|
+ Bug in DataFrame.to_msgpack() when serializing data of the
|
|||
|
|
numpy.bool_ datatype (GH18390)
|
|||
|
|
+ Bug in read_json() not decoding when reading line deliminted
|
|||
|
|
JSON from S3 (GH17200)
|
|||
|
|
+ Bug in pandas.io.json.json_normalize() to avoid modification of
|
|||
|
|
meta (GH18610)
|
|||
|
|
+ Bug in to_latex() where repeated multi-index values were not
|
|||
|
|
printed even though a higher level index differed from the
|
|||
|
|
previous row (GH14484)
|
|||
|
|
+ Bug when reading NaN-only categorical columns in HDFStore
|
|||
|
|
(GH18413)
|
|||
|
|
+ Bug in DataFrame.to_latex() with longtable=True where a latex
|
|||
|
|
multicolumn always spanned over three columns (GH17959)
|
|||
|
|
* Plotting
|
|||
|
|
+ Bug in DataFrame.plot() and Series.plot() with DatetimeIndex
|
|||
|
|
where a figure generated by them is not pickleable in Python 3
|
|||
|
|
(GH18439)
|
|||
|
|
* Groupby/Resample/Rolling
|
|||
|
|
+ Bug in DataFrame.resample(...).apply(...) when there is a
|
|||
|
|
callable that returns different columns (GH15169)
|
|||
|
|
+ Bug in DataFrame.resample(...) when there is a time change (DST)
|
|||
|
|
and resampling frequecy is 12h or higher (GH15549)
|
|||
|
|
+ Bug in pd.DataFrameGroupBy.count() when counting over a
|
|||
|
|
datetimelike column (GH13393)
|
|||
|
|
+ Bug in rolling.var where calculation is inaccurate with a
|
|||
|
|
zero-valued array (GH18430)
|
|||
|
|
* Reshaping
|
|||
|
|
+ Error message in pd.merge_asof() for key datatype mismatch now
|
|||
|
|
includes datatype of left and right key (GH18068)
|
|||
|
|
+ Bug in pd.concat when empty and non-empty DataFrames or Series
|
|||
|
|
are concatenated (GH18178 GH18187)
|
|||
|
|
+ Bug in DataFrame.filter(...) when unicode is passed as a
|
|||
|
|
condition in Python 2 (GH13101)
|
|||
|
|
+ Bug when merging empty DataFrames when np.seterr(divide='raise')
|
|||
|
|
is set (GH17776)
|
|||
|
|
* Numeric
|
|||
|
|
+ Bug in pd.Series.rolling.skew() and rolling.kurt() with all
|
|||
|
|
equal values has floating issue (GH18044)
|
|||
|
|
+ Bug in TimedeltaIndex subtraction could incorrectly overflow
|
|||
|
|
when NaT is present (GH17791)
|
|||
|
|
+ Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex
|
|||
|
|
could fail to overflow (GH18020)
|
|||
|
|
* Categorical
|
|||
|
|
+ Bug in DataFrame.astype() where casting to ‘category’ on an
|
|||
|
|
empty DataFrame causes a segmentation fault (GH18004)
|
|||
|
|
+ Error messages in the testing module have been improved when
|
|||
|
|
items have different CategoricalDtype (GH18069)
|
|||
|
|
+ CategoricalIndex can now correctly take a
|
|||
|
|
pd.api.types.CategoricalDtype as its dtype (GH18116)
|
|||
|
|
+ Bug in Categorical.unique() returning read-only codes array when
|
|||
|
|
all categories were NaN (GH18051)
|
|||
|
|
+ Bug in DataFrame.groupby(axis=1) with a CategoricalIndex
|
|||
|
|
(GH18432)
|
|||
|
|
* String
|
|||
|
|
+ Series.str.split() will now propogate NaN values across all
|
|||
|
|
expanded columns instead of None (GH18450)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
|
|||
|
|
|
|||
|
|
- specfile:
|
|||
|
|
* updated minimum numpy version to 1.9.0 (see setup.py)
|
|||
|
|
|
|||
|
|
- update to version 0.21.0:
|
|||
|
|
* Highlights include:
|
|||
|
|
+ Integration with Apache Parquet, including a new top-level
|
|||
|
|
read_parquet() function and DataFrame.to_parquet() method, see
|
|||
|
|
here.
|
|||
|
|
+ New user-facing pandas.api.types.CategoricalDtype for specifying
|
|||
|
|
categoricals independent of the data, see here.
|
|||
|
|
+ The behavior of sum and prod on all-NaN Series/DataFrames is now
|
|||
|
|
consistent and no longer depends on whether bottleneck is
|
|||
|
|
installed, see here.
|
|||
|
|
+ Compatibility fixes for pypy, see here.
|
|||
|
|
+ Additions to the drop, reindex and rename API to make them more
|
|||
|
|
consistent, see here.
|
|||
|
|
+ Addition of the new methods DataFrame.infer_objects (see here)
|
|||
|
|
and GroupBy.pipe (see here).
|
|||
|
|
+ Indexing with a list of labels, where one or more of the labels
|
|||
|
|
is missing, is deprecated and will raise a KeyError in a future
|
|||
|
|
version, see here.
|
|||
|
|
* full list at http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sat Sep 23 21:12:48 UTC 2017 - arun@gmx.de
|
|||
|
|
|
|||
|
|
- update to version 0.20.3:
|
|||
|
|
* bug fix release, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-20-3-july-7-2017
|
|||
|
|
for complete changelog
|
|||
|
|
|
|||
|
|
- changes from version 0.20.2:
|
|||
|
|
* bug fix release, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-20-2-june-4-2017
|
|||
|
|
for complete changelog
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu May 18 01:07:08 UTC 2017 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to version 0.20.1
|
|||
|
|
Highlights include:
|
|||
|
|
* New ``.agg()`` API for Series/DataFrame similar to the
|
|||
|
|
groupby-rolling-resample API's
|
|||
|
|
* Integration with the ``feather-format``, including a new
|
|||
|
|
top-level ``pd.read_feather()`` and ``DataFrame.to_feather()``
|
|||
|
|
method
|
|||
|
|
* The ``.ix`` indexer has been deprecated
|
|||
|
|
* ``Panel`` has been deprecated
|
|||
|
|
* Addition of an ``IntervalIndex`` and ``Interval`` scalar type
|
|||
|
|
* Improved user API when grouping by index levels in ``.groupby()``
|
|||
|
|
* Improved support for ``UInt64`` dtypes
|
|||
|
|
* A new orient for JSON serialization, ``orient='table'``, that
|
|||
|
|
uses the Table Schema spec and that gives the possibility for
|
|||
|
|
a more interactive repr in the Jupyter Notebook
|
|||
|
|
* Experimental support for exporting styled DataFrames
|
|||
|
|
(``DataFrame.style``) to Excel
|
|||
|
|
* Window binary corr/cov operations now return a MultiIndexed
|
|||
|
|
``DataFrame`` rather than a ``Panel``, as ``Panel`` is now
|
|||
|
|
deprecated
|
|||
|
|
* Support for S3 handling now uses ``s3fs``
|
|||
|
|
* Google BigQuery support now uses the ``pandas-gbq`` library
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon May 8 03:37:27 UTC 2017 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Fix dateutil dependency
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Apr 25 18:39:03 UTC 2017 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Implement single-spec version.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Thu Mar 30 15:00:41 UTC 2017 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- update to version 0.19.2:
|
|||
|
|
* Enhancements
|
|||
|
|
The pd.merge_asof(), added in 0.19.0, gained some improvements:
|
|||
|
|
+ pd.merge_asof() gained left_index/right_index and
|
|||
|
|
left_by/right_by arguments (GH14253)
|
|||
|
|
+ pd.merge_asof() can take multiple columns in by parameter and
|
|||
|
|
has specialized dtypes for better performace (GH13936)
|
|||
|
|
* Performance Improvements
|
|||
|
|
+ Performance regression with PeriodIndex (GH14822)
|
|||
|
|
+ Performance regression in indexing with getitem (GH14930)
|
|||
|
|
+ Improved performance of .replace() (GH12745)
|
|||
|
|
+ Improved performance Series creation with a datetime index and
|
|||
|
|
dictionary data (GH14894)
|
|||
|
|
* Bug Fixes
|
|||
|
|
+ Compat with python 3.6 for pickling of some offsets (GH14685)
|
|||
|
|
+ Compat with python 3.6 for some indexing exception types
|
|||
|
|
(GH14684, GH14689)
|
|||
|
|
+ Compat with python 3.6 for deprecation warnings in the test
|
|||
|
|
suite (GH14681)
|
|||
|
|
+ Compat with python 3.6 for Timestamp pickles (GH14689)
|
|||
|
|
+ Compat with dateutil==2.6.0; segfault reported in the testing
|
|||
|
|
suite (GH14621)
|
|||
|
|
+ Allow nanoseconds in Timestamp.replace as a kwarg (GH14621)
|
|||
|
|
+ Bug in pd.read_csv in which aliasing was being done for
|
|||
|
|
na_values when passed in as a dictionary (GH14203)
|
|||
|
|
+ Bug in pd.read_csv in which column indices for a dict-like
|
|||
|
|
na_values were not being respected (GH14203)
|
|||
|
|
+ Bug in pd.read_csv where reading files fails, if the number of
|
|||
|
|
headers is equal to the number of lines in the file (GH14515)
|
|||
|
|
+ Bug in pd.read_csv for the Python engine in which an unhelpful
|
|||
|
|
error message was being raised when multi-char delimiters were
|
|||
|
|
not being respected with quotes (GH14582)
|
|||
|
|
+ Fix bugs (GH14734, GH13654) in pd.read_sas and
|
|||
|
|
pandas.io.sas.sas7bdat.SAS7BDATReader that caused problems when
|
|||
|
|
reading a SAS file incrementally.
|
|||
|
|
+ Bug in pd.read_csv for the Python engine in which an unhelpful
|
|||
|
|
error message was being raised when skipfooter was not being
|
|||
|
|
respected by Python’s CSV library (GH13879)
|
|||
|
|
+ Bug in .fillna() in which timezone aware datetime64 values were
|
|||
|
|
incorrectly rounded (GH14872)
|
|||
|
|
+ Bug in .groupby(..., sort=True) of a non-lexsorted MultiIndex
|
|||
|
|
when grouping with multiple levels (GH14776)
|
|||
|
|
+ Bug in pd.cut with negative values and a single bin (GH14652)
|
|||
|
|
+ Bug in pd.to_numeric where a 0 was not unsigned on a
|
|||
|
|
downcast='unsigned' argument (GH14401)
|
|||
|
|
+ Bug in plotting regular and irregular timeseries using shared
|
|||
|
|
axes (sharex=True or ax.twinx()) (GH13341, GH14322).
|
|||
|
|
+ Bug in not propogating exceptions in parsing invalid datetimes,
|
|||
|
|
noted in python 3.6 (GH14561)
|
|||
|
|
+ Bug in resampling a DatetimeIndex in local TZ, covering a DST
|
|||
|
|
change, which would raise AmbiguousTimeError (GH14682)
|
|||
|
|
+ Bug in indexing that transformed RecursionError into KeyError or
|
|||
|
|
IndexingError (GH14554)
|
|||
|
|
+ Bug in HDFStore when writing a MultiIndex when using
|
|||
|
|
data_columns=True (GH14435)
|
|||
|
|
+ Bug in HDFStore.append() when writing a Series and passing a
|
|||
|
|
min_itemsize argument containing a value for the index (GH11412)
|
|||
|
|
+ Bug when writing to a HDFStore in table format with a
|
|||
|
|
min_itemsize value for the index and without asking to append
|
|||
|
|
(GH10381)
|
|||
|
|
+ Bug in Series.groupby.nunique() raising an IndexError for an
|
|||
|
|
empty Series (GH12553)
|
|||
|
|
+ Bug in DataFrame.nlargest and DataFrame.nsmallest when the index
|
|||
|
|
had duplicate values (GH13412)
|
|||
|
|
+ Bug in clipboard functions on linux with python2 with unicode
|
|||
|
|
and separators (GH13747)
|
|||
|
|
+ Bug in clipboard functions on Windows 10 and python 3 (GH14362,
|
|||
|
|
GH12807)
|
|||
|
|
+ Bug in .to_clipboard() and Excel compat (GH12529)
|
|||
|
|
+ Bug in DataFrame.combine_first() for integer columns (GH14687).
|
|||
|
|
+ Bug in pd.read_csv() in which the dtype parameter was not being
|
|||
|
|
respected for empty data (GH14712)
|
|||
|
|
+ Bug in pd.read_csv() in which the nrows parameter was not being
|
|||
|
|
respected for large input when using the C engine for parsing
|
|||
|
|
(GH7626)
|
|||
|
|
+ Bug in pd.merge_asof() could not handle timezone-aware
|
|||
|
|
DatetimeIndex when a tolerance was specified (GH14844)
|
|||
|
|
+ Explicit check in to_stata and StataWriter for out-of-range
|
|||
|
|
values when writing doubles (GH14618)
|
|||
|
|
+ Bug in .plot(kind='kde') which did not drop missing values to
|
|||
|
|
generate the KDE Plot, instead generating an empty
|
|||
|
|
plot. (GH14821)
|
|||
|
|
+ Bug in unstack() if called with a list of column(s) as an
|
|||
|
|
argument, regardless of the dtypes of all columns, they get
|
|||
|
|
coerced to object (GH11847)
|
|||
|
|
- update to version 0.19.1:
|
|||
|
|
* Performance Improvements
|
|||
|
|
+ Fixed performance regression in factorization of Period data
|
|||
|
|
(GH14338)
|
|||
|
|
+ Fixed performance regression in Series.asof(where) when where is
|
|||
|
|
a scalar (GH14461)
|
|||
|
|
+ Improved performance in DataFrame.asof(where) when where is a
|
|||
|
|
scalar (GH14461)
|
|||
|
|
+ Improved performance in .to_json() when lines=True (GH14408)
|
|||
|
|
+ Improved performance in certain types of loc indexing with a
|
|||
|
|
MultiIndex (GH14551).
|
|||
|
|
* Bug Fixes
|
|||
|
|
+ Source installs from PyPI will now again work without cython
|
|||
|
|
installed, as in previous versions (GH14204)
|
|||
|
|
+ Compat with Cython 0.25 for building (GH14496)
|
|||
|
|
+ Fixed regression where user-provided file handles were closed in
|
|||
|
|
read_csv (c engine) (GH14418).
|
|||
|
|
+ Fixed regression in DataFrame.quantile when missing values where
|
|||
|
|
present in some columns (GH14357).
|
|||
|
|
+ Fixed regression in Index.difference where the freq of a
|
|||
|
|
DatetimeIndex was incorrectly set (GH14323)
|
|||
|
|
+ Added back pandas.core.common.array_equivalent with a
|
|||
|
|
deprecation warning (GH14555).
|
|||
|
|
+ Bug in pd.read_csv for the C engine in which quotation marks
|
|||
|
|
were improperly parsed in skipped rows (GH14459)
|
|||
|
|
+ Bug in pd.read_csv for Python 2.x in which Unicode quote
|
|||
|
|
characters were no longer being respected (GH14477)
|
|||
|
|
+ Fixed regression in Index.append when categorical indices were
|
|||
|
|
appended (GH14545).
|
|||
|
|
+ Fixed regression in pd.DataFrame where constructor fails when
|
|||
|
|
given dict with None value (GH14381)
|
|||
|
|
+ Fixed regression in DatetimeIndex._maybe_cast_slice_bound when
|
|||
|
|
index is empty (GH14354).
|
|||
|
|
+ Bug in localizing an ambiguous timezone when a boolean is passed
|
|||
|
|
(GH14402)
|
|||
|
|
+ Bug in TimedeltaIndex addition with a Datetime-like object where
|
|||
|
|
addition overflow in the negative direction was not being caught
|
|||
|
|
(GH14068, GH14453)
|
|||
|
|
+ Bug in string indexing against data with object Index may raise
|
|||
|
|
AttributeError (GH14424)
|
|||
|
|
+ Corrrecly raise ValueError on empty input to pd.eval() and
|
|||
|
|
df.query() (GH13139)
|
|||
|
|
+ Bug in RangeIndex.intersection when result is a empty set
|
|||
|
|
(GH14364).
|
|||
|
|
+ Bug in groupby-transform broadcasting that could cause incorrect
|
|||
|
|
dtype coercion (GH14457)
|
|||
|
|
+ Bug in Series.__setitem__ which allowed mutating read-only
|
|||
|
|
arrays (GH14359).
|
|||
|
|
+ Bug in DataFrame.insert where multiple calls with duplicate
|
|||
|
|
columns can fail (GH14291)
|
|||
|
|
+ pd.merge() will raise ValueError with non-boolean parameters in
|
|||
|
|
passed boolean type arguments (GH14434)
|
|||
|
|
+ Bug in Timestamp where dates very near the minimum (1677-09)
|
|||
|
|
could underflow on creation (GH14415)
|
|||
|
|
+ Bug in pd.concat where names of the keys were not propagated to
|
|||
|
|
the resulting MultiIndex (GH14252)
|
|||
|
|
+ Bug in pd.concat where axis cannot take string parameters 'rows'
|
|||
|
|
or 'columns' (GH14369)
|
|||
|
|
+ Bug in pd.concat with dataframes heterogeneous in length and
|
|||
|
|
tuple keys (GH14438)
|
|||
|
|
+ Bug in MultiIndex.set_levels where illegal level values were
|
|||
|
|
still set after raising an error (GH13754)
|
|||
|
|
+ Bug in DataFrame.to_json where lines=True and a value contained
|
|||
|
|
a } character (GH14391)
|
|||
|
|
+ Bug in df.groupby causing an AttributeError when grouping a
|
|||
|
|
single index frame by a column and the index level
|
|||
|
|
(:issue`14327`)
|
|||
|
|
+ Bug in df.groupby where TypeError raised when
|
|||
|
|
pd.Grouper(key=...) is passed in a list (GH14334)
|
|||
|
|
+ Bug in pd.pivot_table may raise TypeError or ValueError when
|
|||
|
|
index or columns is not scalar and values is not specified
|
|||
|
|
(GH14380)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Oct 23 01:32:23 UTC 2016 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- update to version 0.19.0:
|
|||
|
|
(long changelog, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-19-0-october-2-2016)
|
|||
|
|
* Highlights include:
|
|||
|
|
+ merge_asof() for asof-style time-series joining
|
|||
|
|
+ .rolling() is now time-series aware
|
|||
|
|
+ read_csv() now supports parsing Categorical data
|
|||
|
|
+ A function union_categorical() has been added for combining
|
|||
|
|
categoricals
|
|||
|
|
+ PeriodIndex now has its own period dtype, and changed to be more
|
|||
|
|
consistent with other Index classes
|
|||
|
|
+ Sparse data structures gained enhanced support of int and bool
|
|||
|
|
dtypes
|
|||
|
|
+ Comparison operations with Series no longer ignores the index,
|
|||
|
|
see here for an overview of the API changes.
|
|||
|
|
+ Introduction of a pandas development API for utility functions
|
|||
|
|
+ Deprecation of Panel4D and PanelND. We recommend to represent
|
|||
|
|
these types of n-dimensional data with the xarray package.
|
|||
|
|
+ Removal of the previously deprecated modules pandas.io.data,
|
|||
|
|
pandas.io.wb, pandas.tools.rplot.
|
|||
|
|
- specfile:
|
|||
|
|
* require python3-Cython
|
|||
|
|
* Split documentation into own subpackage to speed up build.
|
|||
|
|
* Remove buildrequires for optional dependencies to speed up build.
|
|||
|
|
- Remove unneeded patches:
|
|||
|
|
* 0001_disable_experimental_msgpack_big_endian.patch ^
|
|||
|
|
* 0001_respect_byteorder_in_statareader.patch
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jul 12 16:44:48 UTC 2016 - antoine.belvire@laposte.net
|
|||
|
|
|
|||
|
|
- Update to 0.8.1:
|
|||
|
|
* .groupby(...) has been enhanced to provide convenient syntax
|
|||
|
|
when working with .rolling(..), .expanding(..) and
|
|||
|
|
.resample(..) per group.
|
|||
|
|
* pd.to_datetime() has gained the ability to assemble dates
|
|||
|
|
from a DataFrame.
|
|||
|
|
* Method chaining improvements.
|
|||
|
|
* Custom business hour offset.
|
|||
|
|
* Many bug fixes in the handling of sparse.
|
|||
|
|
* Expanded the Tutorials section with a feature on modern pandas,
|
|||
|
|
courtesy of @TomAugsb (GH13045).
|
|||
|
|
- Changes from 0.8.0:
|
|||
|
|
* Moving and expanding window functions are now methods on Series
|
|||
|
|
and DataFrame, similar to .groupby.
|
|||
|
|
* Adding support for a RangeIndex as a specialized form of the
|
|||
|
|
Int64Index for memory savings.
|
|||
|
|
* API breaking change to the .resample method to make it more
|
|||
|
|
.groupby like.
|
|||
|
|
* Removal of support for positional indexing with floats, which
|
|||
|
|
was deprecated since 0.14.0. This will now raise a TypeError.
|
|||
|
|
* The .to_xarray() function has been added for compatibility with
|
|||
|
|
the xarray package.
|
|||
|
|
* The read_sas function has been enhanced to read sas7bdat files.
|
|||
|
|
* Addition of the .str.extractall() method, and API changes to
|
|||
|
|
the .str.extract() method and .str.cat() method.
|
|||
|
|
* pd.test() top-level nose test runner is available (GH4327).
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Fri Feb 26 13:13:58 UTC 2016 - tbechtold@suse.com
|
|||
|
|
|
|||
|
|
- Require python-python-dateutil. package was renamed
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Feb 9 17:01:02 UTC 2016 - aplanas@suse.com
|
|||
|
|
|
|||
|
|
- Add 0001_respect_byteorder_in_statareader.patch
|
|||
|
|
Fix StataReader in big endian architectures
|
|||
|
|
https://github.com/pydata/pandas/issues/11282
|
|||
|
|
- Add 0001_disable_experimental_msgpack_big_endian.patch
|
|||
|
|
Skip experimental msgpack test in big endian systems
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Feb 3 15:27:31 UTC 2016 - aplanas@suse.com
|
|||
|
|
|
|||
|
|
- Remove non-needed BuildRequires
|
|||
|
|
- Update Requires from documentation
|
|||
|
|
- Update Recommends from documentation
|
|||
|
|
- Add tests in %check section
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Nov 30 09:56:31 UTC 2015 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- update to version 0.17.1:
|
|||
|
|
(for full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-17-1-november-21-2015)
|
|||
|
|
Highlights include:
|
|||
|
|
* Support for Conditional HTML Formatting, see here
|
|||
|
|
* Releasing the GIL on the csv reader & other ops, see here
|
|||
|
|
* Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing
|
|||
|
|
incorrect results on integer values (GH11376)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Oct 12 09:28:25 UTC 2015 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- update to version 0.17.0:
|
|||
|
|
(for full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-17-0-october-9-2015)
|
|||
|
|
Highlights:
|
|||
|
|
* Release the Global Interpreter Lock (GIL) on some cython
|
|||
|
|
operations, see here
|
|||
|
|
* Plotting methods are now available as attributes of the .plot
|
|||
|
|
accessor, see here
|
|||
|
|
* The sorting API has been revamped to remove some long-time
|
|||
|
|
inconsistencies, see here
|
|||
|
|
* Support for a datetime64[ns] with timezones as a first-class
|
|||
|
|
dtype, see here
|
|||
|
|
* The default for to_datetime will now be to raise when presented
|
|||
|
|
with unparseable formats, previously this would return the
|
|||
|
|
original input. Also, date parse functions now return consistent
|
|||
|
|
results. See here
|
|||
|
|
* The default for dropna in HDFStore has changed to False, to store
|
|||
|
|
by default all rows even if they are all NaN, see here
|
|||
|
|
* Datetime accessor (dt) now supports Series.dt.strftime to generate
|
|||
|
|
formatted strings for datetime-likes, and Series.dt.total_seconds
|
|||
|
|
to ge nerate each duration of the timedelta in seconds. See here
|
|||
|
|
* Period and PeriodIndex can handle multiplied freq like 3D, which
|
|||
|
|
corresponding to 3 days span. See here
|
|||
|
|
* Development installed versions of pandas will now have PEP440
|
|||
|
|
compliant version strings (GH9518)
|
|||
|
|
* Development support for benchmarking with the Air Speed Velocity
|
|||
|
|
library (GH8361)
|
|||
|
|
* Support for reading SAS xport files, see here
|
|||
|
|
* Documentation comparing SAS to pandas, see here
|
|||
|
|
* Removal of the automatic TimeSeries broadcasting, deprecated since
|
|||
|
|
0.8.0, see here
|
|||
|
|
* Display format with plain text can optionally align with Unicode
|
|||
|
|
East Asian Width, see here
|
|||
|
|
* Compatibility with Python 3.5 (GH11097)
|
|||
|
|
* Compatibility with matplotlib 1.5.0 (GH11111)
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Jun 29 11:06:30 UTC 2015 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- update to version 0.16.2:
|
|||
|
|
(see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-16-2-june-12-2015)
|
|||
|
|
* Highlights
|
|||
|
|
+ A new pipe method
|
|||
|
|
+ Documentation on how to use numba with pandas
|
|||
|
|
* Enhancements
|
|||
|
|
+ Added rsplit to Index/Series StringMethods (GH10303)
|
|||
|
|
+ Removed the hard-coded size limits on the DataFrame HTML
|
|||
|
|
representation in the IPython notebook, and leave this to
|
|||
|
|
IPython itself (only for IPython v3.0 or greater). This
|
|||
|
|
eliminates the duplicate scroll bars that appeared in the
|
|||
|
|
notebook with large frames (GH10231).
|
|||
|
|
|
|||
|
|
Note that the notebook has a toggle output scrolling feature to
|
|||
|
|
limit the display of very large frames (by clicking left of the
|
|||
|
|
output). You can also configure the way DataFrames are displayed
|
|||
|
|
using the pandas options, see here here.
|
|||
|
|
+ axis parameter of DataFrame.quantile now accepts also index and
|
|||
|
|
column. (GH9543)
|
|||
|
|
* API Changes
|
|||
|
|
+ Holiday now raises NotImplementedError if both offset and
|
|||
|
|
observance are used in the constructor instead of returning an
|
|||
|
|
incorrect result (GH10217).
|
|||
|
|
* Performance Improvements
|
|||
|
|
+ Improved Series.resample performance with dtype=datetime64[ns]
|
|||
|
|
(GH7754)
|
|||
|
|
+ Increase performance of str.split when expand=True (GH10081)
|
|||
|
|
* Bug Fixes
|
|||
|
|
+ Bug in Series.hist raises an error when a one row Series was
|
|||
|
|
given (GH10214)
|
|||
|
|
+ Bug where HDFStore.select modifies the passed columns list
|
|||
|
|
(GH7212)
|
|||
|
|
+ Bug in Categorical repr with display.width of None in Python 3
|
|||
|
|
(GH10087)
|
|||
|
|
+ Bug in to_json with certain orients and a CategoricalIndex would
|
|||
|
|
segfault (GH10317)
|
|||
|
|
+ Bug where some of the nan funcs do not have consistent return
|
|||
|
|
dtypes (GH10251)
|
|||
|
|
+ Bug in DataFrame.quantile on checking that a valid axis was
|
|||
|
|
passed (GH9543)
|
|||
|
|
+ Bug in groupby.apply aggregation for Categorical not preserving
|
|||
|
|
categories (GH10138)
|
|||
|
|
+ Bug in to_csv where date_format is ignored if the datetime is
|
|||
|
|
fractional (GH10209)
|
|||
|
|
+ Bug in DataFrame.to_json with mixed data types (GH10289)
|
|||
|
|
+ Bug in cache updating when consolidating (GH10264)
|
|||
|
|
+ Bug in mean() where integer dtypes can overflow (GH10172)
|
|||
|
|
+ Bug where Panel.from_dict does not set dtype when specified
|
|||
|
|
(GH10058)
|
|||
|
|
+ Bug in Index.union raises AttributeError when passing
|
|||
|
|
array-likes. (GH10149)
|
|||
|
|
+ Bug in Timestamp‘s’ microsecond, quarter, dayofyear, week and
|
|||
|
|
daysinmonth properties return np.int type, not built-in
|
|||
|
|
int. (GH10050)
|
|||
|
|
+ Bug in NaT raises AttributeError when accessing to daysinmonth,
|
|||
|
|
dayofweek properties. (GH10096)
|
|||
|
|
+ Bug in Index repr when using the max_seq_items=None setting
|
|||
|
|
(GH10182).
|
|||
|
|
+ Bug in getting timezone data with dateutil on various platforms
|
|||
|
|
( GH9059, GH8639, GH9663, GH10121)
|
|||
|
|
+ Bug in displaying datetimes with mixed frequencies; display ‘ms’
|
|||
|
|
datetimes to the proper precision. (GH10170)
|
|||
|
|
+ Bug in setitem where type promotion is applied to the entire
|
|||
|
|
block (GH10280)
|
|||
|
|
+ Bug in Series arithmetic methods may incorrectly hold names
|
|||
|
|
(GH10068)
|
|||
|
|
+ Bug in GroupBy.get_group when grouping on multiple keys, one of
|
|||
|
|
which is categorical. (GH10132)
|
|||
|
|
+ Bug in DatetimeIndex and TimedeltaIndex names are lost after
|
|||
|
|
timedelta arithmetics ( GH9926)
|
|||
|
|
+ Bug in DataFrame construction from nested dict with datetime64
|
|||
|
|
(GH10160)
|
|||
|
|
+ Bug in Series construction from dict with datetime64 keys
|
|||
|
|
(GH9456)
|
|||
|
|
+ Bug in Series.plot(label="LABEL") not correctly setting the
|
|||
|
|
label (GH10119)
|
|||
|
|
+ Bug in plot not defaulting to matplotlib axes.grid setting
|
|||
|
|
(GH9792)
|
|||
|
|
+ Bug causing strings containing an exponent, but no decimal to be
|
|||
|
|
parsed as int instead of float in engine='python' for the read_csv
|
|||
|
|
parser (GH9565)
|
|||
|
|
+ Bug in Series.align resets name when fill_value is specified
|
|||
|
|
(GH10067)
|
|||
|
|
+ Bug in read_csv causing index name not to be set on an empty
|
|||
|
|
DataFrame (GH10184)
|
|||
|
|
+ Bug in SparseSeries.abs resets name (GH10241)
|
|||
|
|
+ Bug in TimedeltaIndex slicing may reset freq (GH10292)
|
|||
|
|
+ Bug in GroupBy.get_group raises ValueError when group key
|
|||
|
|
contains NaT (GH6992)
|
|||
|
|
+ Bug in SparseSeries constructor ignores input data name
|
|||
|
|
(GH10258)
|
|||
|
|
+ Bug in Categorical.remove_categories causing a ValueError when
|
|||
|
|
removing the NaN category if underlying dtype is floating-point
|
|||
|
|
(GH10156)
|
|||
|
|
+ Bug where infer_freq infers timerule (WOM-5XXX) unsupported by
|
|||
|
|
to_offset (GH9425)
|
|||
|
|
+ Bug in DataFrame.to_hdf() where table format would raise a
|
|||
|
|
seemingly unrelated error for invalid (non-string) column
|
|||
|
|
names. This is now explicitly forbidden. (GH9057)
|
|||
|
|
+ Bug to handle masking empty DataFrame (GH10126).
|
|||
|
|
+ Bug where MySQL interface could not handle numeric table/column
|
|||
|
|
names (GH10255)
|
|||
|
|
+ Bug in read_csv with a date_parser that returned a datetime64
|
|||
|
|
array of other time resolution than [ns] (GH10245)
|
|||
|
|
+ Bug in Panel.apply when the result has ndim=0 (GH10332)
|
|||
|
|
+ Bug in read_hdf where auto_close could not be passed (GH9327).
|
|||
|
|
+ Bug in read_hdf where open stores could not be used (GH10330).
|
|||
|
|
+ Bug in adding empty DataFrame``s, now results in a ``DataFrame
|
|||
|
|
that .equals an empty DataFrame (GH10181).
|
|||
|
|
+ Bug in to_hdf and HDFStore which did not check that complib
|
|||
|
|
choices were valid (GH4582, GH8874).
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue May 19 09:18:50 UTC 2015 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to version 0.16.1
|
|||
|
|
* Highlights
|
|||
|
|
- Support for a ``CategoricalIndex``, a category based index
|
|||
|
|
- New section on how-to-contribute to pandas
|
|||
|
|
- Revised "Merge, join, and concatenate" documentation,
|
|||
|
|
including graphical examples to make it easier to understand
|
|||
|
|
each operations
|
|||
|
|
- New method sample for drawing random samples from Series,
|
|||
|
|
DataFrames and Panels.
|
|||
|
|
- The default Index printing has changed to a more uniform
|
|||
|
|
format
|
|||
|
|
- BusinessHour datetime-offset is now supported
|
|||
|
|
* Enhancements
|
|||
|
|
- BusinessHour`offset is now supported, which represents
|
|||
|
|
business hours starting from 09:00 - 17:00 on BusinessDay by
|
|||
|
|
default.
|
|||
|
|
- DataFrame.diff now takes an axis parameter that determines the
|
|||
|
|
direction of differencing
|
|||
|
|
- Allow clip, clip_lower, and clip_upper to accept array-like
|
|||
|
|
arguments as thresholds (This is a regression from 0.11.0).
|
|||
|
|
These methods now have an axis parameter which determines
|
|||
|
|
how the Series or DataFrame will be aligned with the
|
|||
|
|
threshold(s).
|
|||
|
|
- DataFrame.mask() and Series.mask() now support same keywords
|
|||
|
|
as where
|
|||
|
|
- drop function can now accept errors keyword to suppress
|
|||
|
|
ValueError raised when any of label does not exist in the
|
|||
|
|
target data.
|
|||
|
|
- Allow conversion of values with dtype datetime64 or timedelta64
|
|||
|
|
to strings using astype(str)
|
|||
|
|
- get_dummies function now accepts sparse keyword. If set to
|
|||
|
|
True, the return DataFrame is sparse, e.g. SparseDataFrame.
|
|||
|
|
- Period now accepts datetime64 as value input.
|
|||
|
|
- Allow timedelta string conversion when leading zero is
|
|||
|
|
missing from time definition, ie 0:00:00 vs 00:00:00.
|
|||
|
|
- Allow Panel.shift with axis='items'
|
|||
|
|
- Trying to write an excel file now raises NotImplementedError
|
|||
|
|
if the DataFrame has a MultiIndex instead of writing a broken
|
|||
|
|
Excel file.
|
|||
|
|
- Allow Categorical.add_categories to accept Series or np.array.
|
|||
|
|
- Add/delete str/dt/cat accessors dynamically from __dir__.
|
|||
|
|
- Add normalize as a dt accessor method.
|
|||
|
|
- DataFrame and Series now have _constructor_expanddim property
|
|||
|
|
as overridable constructor for one higher dimensionality
|
|||
|
|
data. This should be used only when it is really needed
|
|||
|
|
- pd.lib.infer_dtype now returns 'bytes' in Python 3 where
|
|||
|
|
appropriate.
|
|||
|
|
- We introduce a CategoricalIndex, a new type of index object
|
|||
|
|
that is useful for supporting indexing with duplicates. This
|
|||
|
|
is a container around a Categorical (introduced in v0.15.0)
|
|||
|
|
and allows efficient indexing and storage of an index with a
|
|||
|
|
large number of duplicated elements. Prior to 0.16.1,
|
|||
|
|
setting the index of a DataFrame/Series with a category
|
|||
|
|
dtype would convert this to regular object-based Index.
|
|||
|
|
- Series, DataFrames, and Panels now have a new method:
|
|||
|
|
pandas.DataFrame.sample. The method accepts a specific number
|
|||
|
|
of rows or columns to return, or a fraction of the total
|
|||
|
|
number or rows or columns. It also has options for sampling
|
|||
|
|
with or without replacement, for passing in a column for
|
|||
|
|
weights for non-uniform sampling, and for setting seed values
|
|||
|
|
to facilitate replication.
|
|||
|
|
- The following new methods are accesible via .str accessor to
|
|||
|
|
apply the function to each values.
|
|||
|
|
+ capitalize()
|
|||
|
|
+ swapcase()
|
|||
|
|
+ normalize()
|
|||
|
|
+ partition()
|
|||
|
|
+ rpartition()
|
|||
|
|
+ index()
|
|||
|
|
+ rindex()
|
|||
|
|
+ translate()
|
|||
|
|
- Added StringMethods (.str accessor) to Index
|
|||
|
|
- split now takes expand keyword to specify whether to expand
|
|||
|
|
dimensionality. return_type is deprecated.
|
|||
|
|
* API changes
|
|||
|
|
- When passing in an ax to df.plot( ..., ax=ax), the sharex
|
|||
|
|
kwarg will now default to False.
|
|||
|
|
- Add support for separating years and quarters using dashes,
|
|||
|
|
for example 2014-Q1.
|
|||
|
|
- pandas.DataFrame.assign now inserts new columns in
|
|||
|
|
alphabetical order. Previously the order was arbitrary.
|
|||
|
|
- By default, read_csv and read_table will now try to infer
|
|||
|
|
the compression type based on the file extension. Set
|
|||
|
|
compression=None to restore the previous behavior
|
|||
|
|
(no decompression).
|
|||
|
|
- The string representation of Index and its sub-classes have
|
|||
|
|
now been unified. These will show a single-line display if
|
|||
|
|
there are few values; a wrapped multi-line display for a lot
|
|||
|
|
of values (but less than display.max_seq_items; if lots of
|
|||
|
|
items > display.max_seq_items) will show a truncated display
|
|||
|
|
(the head and tail of the data). The formatting for
|
|||
|
|
MultiIndex is unchanges (a multi-line wrapped display). The
|
|||
|
|
display width responds to the option display.max_seq_items,
|
|||
|
|
which is defaulted to 100.
|
|||
|
|
* Deprecations
|
|||
|
|
- Series.str.split's return_type keyword was removed in favor
|
|||
|
|
of expand
|
|||
|
|
* Performance Improvements
|
|||
|
|
- Improved csv write performance with mixed dtypes, including
|
|||
|
|
datetimes by up to 5x
|
|||
|
|
- Improved csv write performance generally by 2x
|
|||
|
|
- Improved the performance of pd.lib.max_len_string_array
|
|||
|
|
by 5-7x
|
|||
|
|
* Bug Fixes
|
|||
|
|
- Bug where labels did not appear properly in the legend of
|
|||
|
|
DataFrame.plot(), passing label= arguments works, and Series
|
|||
|
|
indices are no longer mutated.
|
|||
|
|
- Bug in json serialization causing a segfault when a frame had
|
|||
|
|
zero length.
|
|||
|
|
- Bug in read_csv where missing trailing delimiters would cause
|
|||
|
|
segfault.
|
|||
|
|
- Bug in retaining index name on appending
|
|||
|
|
- Bug in scatter_matrix draws unexpected axis ticklabels
|
|||
|
|
- Fixed bug in StataWriter resulting in changes to input
|
|||
|
|
DataFrame upon save.
|
|||
|
|
- Bug in transform causing length mismatch when null entries
|
|||
|
|
were present and a fast aggregator was being used
|
|||
|
|
- Bug in equals causing false negatives when block order
|
|||
|
|
differed
|
|||
|
|
- Bug in grouping with multiple pd.Grouper where one is
|
|||
|
|
non-time based
|
|||
|
|
- Bug in read_sql_table error when reading postgres table with
|
|||
|
|
timezone
|
|||
|
|
- Bug in DataFrame slicing may not retain metadata
|
|||
|
|
- Bug where TimdeltaIndex were not properly serialized in fixed
|
|||
|
|
HDFStore
|
|||
|
|
- Bug with TimedeltaIndex constructor ignoring name when given
|
|||
|
|
another TimedeltaIndex as data.
|
|||
|
|
- Bug in DataFrameFormatter._get_formatted_index with not
|
|||
|
|
applying max_colwidth to the DataFrame index
|
|||
|
|
- Bug in .loc with a read-only ndarray data source
|
|||
|
|
- Bug in groupby.apply() that would raise if a passed user
|
|||
|
|
defined function either returned only None (for all input).
|
|||
|
|
- Always use temporary files in pytables tests
|
|||
|
|
- Bug in plotting continuously using secondary_y may not show
|
|||
|
|
legend properly.
|
|||
|
|
- Bug in DataFrame.plot(kind="hist") results in TypeError when
|
|||
|
|
DataFrame contains non-numeric columns
|
|||
|
|
- Bug where repeated plotting of DataFrame with a DatetimeIndex
|
|||
|
|
may raise TypeError
|
|||
|
|
- Bug in setup.py that would allow an incompat cython version
|
|||
|
|
to build
|
|||
|
|
- Bug in plotting secondary_y incorrectly attaches right_ax
|
|||
|
|
property to secondary axes specifying itself recursively.
|
|||
|
|
- Bug in Series.quantile on empty Series of type Datetime or
|
|||
|
|
Timedelta
|
|||
|
|
- Bug in where causing incorrect results when upcasting was
|
|||
|
|
required
|
|||
|
|
- Bug in FloatArrayFormatter where decision boundary for
|
|||
|
|
displaying "small" floats in decimal format is off by one
|
|||
|
|
order of magnitude for a given display.precision
|
|||
|
|
- Fixed bug where DataFrame.plot() raised an error when both
|
|||
|
|
color and style keywords were passed and there was no color
|
|||
|
|
symbol in the style strings
|
|||
|
|
- Not showing a DeprecationWarning on combining list-likes with
|
|||
|
|
an Index
|
|||
|
|
- Bug in read_csv and read_table when using skip_rows parameter
|
|||
|
|
if blank lines are present.
|
|||
|
|
- Bug in read_csv() interprets index_col=True as 1
|
|||
|
|
- Bug in index equality comparisons using == failing on
|
|||
|
|
Index/MultiIndex type incompatibility
|
|||
|
|
- Bug in which SparseDataFrame could not take nan as a column
|
|||
|
|
name
|
|||
|
|
- Bug in to_msgpack and read_msgpack zlib and blosc compression
|
|||
|
|
support
|
|||
|
|
- Bug GroupBy.size doesn't attach index name properly if
|
|||
|
|
grouped by TimeGrouper
|
|||
|
|
- Bug causing an exception in slice assignments because
|
|||
|
|
length_of_indexer returns wrong results
|
|||
|
|
- Bug in csv parser causing lines with initial whitespace plus
|
|||
|
|
one non-space character to be skipped.
|
|||
|
|
- Bug in C csv parser causing spurious NaNs when data started
|
|||
|
|
with newline followed by whitespace.
|
|||
|
|
- Bug causing elements with a null group to spill into the
|
|||
|
|
final group when grouping by a Categorical
|
|||
|
|
- Bug where .iloc and .loc behavior is not consistent on empty
|
|||
|
|
dataframes
|
|||
|
|
- Bug in invalid attribute access on a TimedeltaIndex
|
|||
|
|
incorrectly raised ValueError instead of AttributeError
|
|||
|
|
- Bug in unequal comparisons between categorical data and a
|
|||
|
|
scalar, which was not in the categories (e.g.
|
|||
|
|
Series(Categorical(list("abc"), ordered=True)) > "d". This
|
|||
|
|
returned False for all elements, but now raises a TypeError.
|
|||
|
|
Equality comparisons also now return False for == and True
|
|||
|
|
for !=.
|
|||
|
|
- Bug in DataFrame __setitem__ when right hand side is a
|
|||
|
|
dictionary
|
|||
|
|
- Bug in where when dtype is datetime64/timedelta64, but dtype
|
|||
|
|
of other is not
|
|||
|
|
- Bug in MultiIndex.sortlevel() results in unicode level name
|
|||
|
|
breaks
|
|||
|
|
- Bug in which groupby.transform incorrectly enforced output
|
|||
|
|
dtypes to match input dtypes.
|
|||
|
|
- Bug in DataFrame constructor when columns parameter is set,
|
|||
|
|
and data is an empty list
|
|||
|
|
- Bug in bar plot with log=True raises TypeError if all values
|
|||
|
|
are less than 1
|
|||
|
|
- Bug in horizontal bar plot ignores log=True
|
|||
|
|
- Bug in PyTables queries that did not return proper results
|
|||
|
|
using the index
|
|||
|
|
- Bug where dividing a dataframe containing values of type
|
|||
|
|
Decimal by another Decimal would raise.
|
|||
|
|
- Bug where using DataFrames asfreq would remove the name of
|
|||
|
|
the index.
|
|||
|
|
- Bug causing extra index point when resample BM/BQ
|
|||
|
|
- Changed caching in AbstractHolidayCalendar to be at the
|
|||
|
|
instance level rather than at the class level as the latter
|
|||
|
|
can result in unexpected behaviour.
|
|||
|
|
- Fixed latex output for multi-indexed dataframes
|
|||
|
|
- Bug causing an exception when setting an empty range using
|
|||
|
|
DataFrame.loc
|
|||
|
|
- Bug in hiding ticklabels with subplots and shared axes when
|
|||
|
|
adding a new plot to an existing grid of axes
|
|||
|
|
- Bug in transform and filter when grouping on a categorical
|
|||
|
|
variable
|
|||
|
|
- Bug in transform when groups are equal in number and dtype to
|
|||
|
|
the input index
|
|||
|
|
- Google BigQuery connector now imports dependencies on a
|
|||
|
|
per-method basis.
|
|||
|
|
- Updated BigQuery connector to no longer use deprecated
|
|||
|
|
oauth2client.tools.run()
|
|||
|
|
- Bug in subclassed DataFrame. It may not return the correct
|
|||
|
|
class, when slicing or subsetting it.
|
|||
|
|
- Bug in .median() where non-float null values are not handled
|
|||
|
|
correctly
|
|||
|
|
- Bug in Series.fillna() where it raises if a numerically
|
|||
|
|
convertible string is given
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Mar 24 12:44:20 UTC 2015 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- update to version 0.16.0:
|
|||
|
|
* Highlights:
|
|||
|
|
- DataFrame.assign method
|
|||
|
|
- Series.to_coo/from_coo methods to interact with scipy.sparse
|
|||
|
|
- Backwards incompatible change to Timedelta to conform the .seconds
|
|||
|
|
attribute with datetime.timedelta
|
|||
|
|
- Changes to the .loc slicing API to conform with the behavior of .ix
|
|||
|
|
- Changes to the default for ordering in the Categorical constructor
|
|||
|
|
- Enhancement to the .str accessor to make string operations easier
|
|||
|
|
- The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy
|
|||
|
|
modules are deprecated. We refer users to external packages like
|
|||
|
|
seaborn, pandas-qt and rpy2 for similar or equivalent functionality
|
|||
|
|
* New features
|
|||
|
|
- Inspired by dplyr's mutate verb, DataFrame has a new assign method.
|
|||
|
|
- Added SparseSeries.to_coo and SparseSeries.from_coo methods for
|
|||
|
|
converting to and from scipy.sparse.coo_matrix instances.
|
|||
|
|
- Following new methods are accesible via .str accessor to apply the
|
|||
|
|
function to each values. This is intended to make it more consistent with
|
|||
|
|
standard methods on strings: isalnum(), isalpha(), isdigit(), isdigit(),
|
|||
|
|
isspace(), islower(), isupper(), istitle(), isnumeric(), isdecimal(),
|
|||
|
|
find(), rfind(), ljust(), rjust(), zfill()
|
|||
|
|
- Reindex now supports method='nearest' for frames or series with a
|
|||
|
|
monotonic increasing or decreasing index.
|
|||
|
|
- The read_excel() function's sheetname argument now accepts a list and
|
|||
|
|
None, to get multiple or all sheets respectively. If more than one sheet
|
|||
|
|
is specified, a dictionary is returned.
|
|||
|
|
- Allow Stata files to be read incrementally with an iterator; support for
|
|||
|
|
long strings in Stata files.
|
|||
|
|
- Paths beginning with ~ will now be expanded to begin with the user's home
|
|||
|
|
directory.
|
|||
|
|
- Added time interval selection in get_data_yahoo.
|
|||
|
|
- Added Timestamp.to_datetime64() to complement Timedelta.to_timedelta64().
|
|||
|
|
- tseries.frequencies.to_offset() now accepts Timedelta as input.
|
|||
|
|
- Lag parameter was added to the autocorrelation method of Series, defaults
|
|||
|
|
to lag-1 autocorrelation.
|
|||
|
|
- Timedelta will now accept nanoseconds keyword in constructor.
|
|||
|
|
- SQL code now safely escapes table and column names.
|
|||
|
|
- Added auto-complete for Series.str.<tab>, Series.dt.<tab> and
|
|||
|
|
Series.cat.<tab>.
|
|||
|
|
- Index.get_indexer now supports method='pad' and method='backfill' even
|
|||
|
|
for any target array, not just monotonic targets.
|
|||
|
|
- Index.asof now works on all index types.
|
|||
|
|
- A verbose argument has been augmented in io.read_excel(), defaults to
|
|||
|
|
False. Set to True to print sheet names as they are parsed.
|
|||
|
|
- Added days_in_month (compatibility alias daysinmonth) property to
|
|||
|
|
Timestamp, DatetimeIndex, Period, PeriodIndex, and Series.dt.
|
|||
|
|
- Added decimal option in to_csv to provide formatting for non-'.' decimal
|
|||
|
|
separators
|
|||
|
|
- Added normalize option for Timestamp to normalized to midnight
|
|||
|
|
- Added example for DataFrame import to R using HDF5 file and rhdf5
|
|||
|
|
library.
|
|||
|
|
* Backwards incompatible API changes
|
|||
|
|
- In v0.16.0, we are restoring the API to match that of datetime.timedelta.
|
|||
|
|
Further, the component values are still available through the .components
|
|||
|
|
accessor. This affects the .seconds and .microseconds accessors, and
|
|||
|
|
removes the .hours, .minutes, .milliseconds accessors. These changes
|
|||
|
|
affect TimedeltaIndex and the Series .dt accessor as well.
|
|||
|
|
- The behavior of a small sub-set of edge cases for using .loc have
|
|||
|
|
changed. Furthermore we have improved the content of the error messages
|
|||
|
|
that are raised:
|
|||
|
|
+ Slicing with .loc where the start and/or stop bound is not found in
|
|||
|
|
the index is now allowed; this previously would raise a KeyError. This
|
|||
|
|
makes the behavior the same as .ix in this case. This change is only
|
|||
|
|
for slicing, not when indexing with a single label.
|
|||
|
|
+ Allow slicing with float-like values on an integer index for .ix.
|
|||
|
|
Previously this was only enabled for .loc:
|
|||
|
|
+ Provide a useful exception for indexing with an invalid type for that
|
|||
|
|
index when using .loc. For example trying to use .loc on an index of
|
|||
|
|
type DatetimeIndex or PeriodIndex or TimedeltaIndex, with an integer
|
|||
|
|
(or a float).
|
|||
|
|
- In prior versions, Categoricals that had an unspecified ordering
|
|||
|
|
(meaning no ordered keyword was passed) were defaulted as ordered
|
|||
|
|
Categoricals. Going forward, the ordered keyword in the Categorical
|
|||
|
|
constructor will default to False. Ordering must now be explicit.
|
|||
|
|
Furthermore, previously you *could* change the ordered attribute of a
|
|||
|
|
Categorical by just setting the attribute, e.g. cat.ordered=True; This is
|
|||
|
|
now deprecated and you should use cat.as_ordered() or cat.as_unordered().
|
|||
|
|
These will by default return a **new** object and not modify the
|
|||
|
|
existing object.
|
|||
|
|
- Index.duplicated now returns np.array(dtype=bool) rather than
|
|||
|
|
Index(dtype=object) containing bool values.
|
|||
|
|
- DataFrame.to_json now returns accurate type serialisation for each column
|
|||
|
|
for frames of mixed dtype
|
|||
|
|
- DatetimeIndex, PeriodIndex and TimedeltaIndex.summary now output the same
|
|||
|
|
format.
|
|||
|
|
- TimedeltaIndex.freqstr now output the same string format as
|
|||
|
|
DatetimeIndex.
|
|||
|
|
- Bar and horizontal bar plots no longer add a dashed line along the info
|
|||
|
|
axis. The prior style can be achieved with matplotlib's axhline or
|
|||
|
|
axvline methods.
|
|||
|
|
- Series accessors .dt, .cat and .str now raise AttributeError instead of
|
|||
|
|
TypeError if the series does not contain the appropriate type of data.
|
|||
|
|
This follows Python's built-in exception hierarchy more closely and
|
|||
|
|
ensures that tests like hasattr(s, 'cat') are consistent on both Python
|
|||
|
|
2 and 3.
|
|||
|
|
- Series now supports bitwise operation for integral types. Previously even
|
|||
|
|
if the input dtypes were integral, the output dtype was coerced to bool.
|
|||
|
|
- During division involving a Series or DataFrame, 0/0 and 0//0 now give
|
|||
|
|
np.nan instead of np.inf.
|
|||
|
|
- Series.values_counts and Series.describe for categorical data will now
|
|||
|
|
put NaN entries at the end.
|
|||
|
|
- Series.describe for categorical data will now give counts and frequencies
|
|||
|
|
of 0, not NaN, for unused categories
|
|||
|
|
- Due to a bug fix, looking up a partial string label with
|
|||
|
|
DatetimeIndex.asof now includes values that match the string, even if
|
|||
|
|
they are after the start of the partial string label. Old behavior:
|
|||
|
|
* Deprecations
|
|||
|
|
- The rplot trellis plotting interface is deprecated and will be removed
|
|||
|
|
in a future version. We refer to external packages like
|
|||
|
|
seaborn for similar but more refined functionality.
|
|||
|
|
- The pandas.sandbox.qtpandas interface is deprecated and will be removed
|
|||
|
|
in a future version.
|
|||
|
|
We refer users to the external package pandas-qt.
|
|||
|
|
- The pandas.rpy interface is deprecated and will be removed in a future
|
|||
|
|
version.
|
|||
|
|
Similar functionaility can be accessed thru the rpy2 project
|
|||
|
|
- Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is
|
|||
|
|
being deprecated as a set-operation. This will be changed to a TypeError
|
|||
|
|
in a future version. .union() should be used for the union set operation.
|
|||
|
|
- Subtracting DatetimeIndex/PeriodIndex from another
|
|||
|
|
DatetimeIndex/PeriodIndex is being deprecated as a set-operation. This
|
|||
|
|
will be changed to an actual numeric subtraction yielding a
|
|||
|
|
TimeDeltaIndex in a future version. .difference() should be used for
|
|||
|
|
the differencing set operation.
|
|||
|
|
* Removal of prior version deprecations/changes
|
|||
|
|
- DataFrame.pivot_table and crosstab's rows and cols keyword arguments were
|
|||
|
|
removed in favor
|
|||
|
|
of index and columns
|
|||
|
|
- DataFrame.to_excel and DataFrame.to_csv cols keyword argument was removed
|
|||
|
|
in favor of columns
|
|||
|
|
- Removed convert_dummies in favor of get_dummies
|
|||
|
|
- Removed value_range in favor of describe
|
|||
|
|
* Performance Improvements
|
|||
|
|
- Fixed a performance regression for .loc indexing with an array or
|
|||
|
|
list-like.
|
|||
|
|
- DataFrame.to_json 30x performance improvement for mixed dtype frames.
|
|||
|
|
- Performance improvements in MultiIndex.duplicated by working with labels
|
|||
|
|
instead of values
|
|||
|
|
- Improved the speed of nunique by calling unique instead of value_counts
|
|||
|
|
- Performance improvement of up to 10x in DataFrame.count and
|
|||
|
|
DataFrame.dropna by taking advantage of homogeneous/heterogeneous dtypes
|
|||
|
|
appropriately
|
|||
|
|
- Performance improvement of up to 20x in DataFrame.count when using a
|
|||
|
|
MultiIndex and the level keyword argument
|
|||
|
|
- Performance and memory usage improvements in merge when key space exceeds
|
|||
|
|
int64 bounds
|
|||
|
|
- Performance improvements in multi-key groupby
|
|||
|
|
- Performance improvements in MultiIndex.sortlevel
|
|||
|
|
- Performance and memory usage improvements in DataFrame.duplicated
|
|||
|
|
- Cythonized Period
|
|||
|
|
- Decreased memory usage on to_hdf
|
|||
|
|
* Bug Fixes
|
|||
|
|
- Changed .to_html to remove leading/trailing spaces in table body
|
|||
|
|
- Fixed issue using read_csv on s3 with Python 3
|
|||
|
|
- Fixed compatibility issue in DatetimeIndex affecting architectures where
|
|||
|
|
numpy.int_ defaults to numpy.int32
|
|||
|
|
- Bug in Panel indexing with an object-like
|
|||
|
|
- Bug in the returned Series.dt.components index was reset to the default
|
|||
|
|
index
|
|||
|
|
- Bug in Categorical.__getitem__/__setitem__ with listlike input getting
|
|||
|
|
incorrect results from indexer coercion
|
|||
|
|
- Bug in partial setting with a DatetimeIndex
|
|||
|
|
- Bug in groupby for integer and datetime64 columns when applying an
|
|||
|
|
aggregator that caused the value to be
|
|||
|
|
changed when the number was sufficiently large
|
|||
|
|
- Fixed bug in to_sql when mapping a Timestamp object column (datetime
|
|||
|
|
column with timezone info) to the appropriate sqlalchemy type.
|
|||
|
|
- Fixed bug in to_sql dtype argument not accepting an instantiated
|
|||
|
|
SQLAlchemy type.
|
|||
|
|
- Bug in .loc partial setting with a np.datetime64
|
|||
|
|
- Incorrect dtypes inferred on datetimelike looking Series & on .xs slices
|
|||
|
|
- Items in Categorical.unique() (and s.unique() if s is of dtype category)
|
|||
|
|
now appear in the order in which they are originally found, not in sorted
|
|||
|
|
order. This is now consistent with the behavior for other dtypes in pandas.
|
|||
|
|
- Fixed bug on big endian platforms which produced incorrect results in
|
|||
|
|
StataReader.
|
|||
|
|
- Bug in MultiIndex.has_duplicates when having many levels causes an
|
|||
|
|
indexer overflow
|
|||
|
|
- Bug in pivot and unstack where nan values would break index alignment
|
|||
|
|
- Bug in left join on multi-index with sort=True or null values.
|
|||
|
|
- Bug in MultiIndex where inserting new keys would fail.
|
|||
|
|
- Bug in groupby when key space exceeds int64 bounds.
|
|||
|
|
- Bug in unstack with TimedeltaIndex or DatetimeIndex and nulls.
|
|||
|
|
- Bug in rank where comparing floats with tolerance will cause inconsistent
|
|||
|
|
behaviour.
|
|||
|
|
- Fixed character encoding bug in read_stata and StataReader when loading
|
|||
|
|
data from a URL.
|
|||
|
|
- Bug in adding offsets.Nano to other offets raises TypeError
|
|||
|
|
- Bug in DatetimeIndex iteration, related to, fixed in
|
|||
|
|
- Bugs in resample around DST transitions. This required fixing offset
|
|||
|
|
classes so they behave correctly on DST transitions.
|
|||
|
|
- Bug in binary operator method (eg .mul()) alignment with integer levels.
|
|||
|
|
- Bug in boxplot, scatter and hexbin plot may show an unnecessary warning
|
|||
|
|
- Bug in subplot with layout kw may show unnecessary warning
|
|||
|
|
- Bug in using grouper functions that need passed thru arguments (e.g.
|
|||
|
|
axis), when using wrapped function (e.g. fillna),
|
|||
|
|
- DataFrame now properly supports simultaneous copy and dtype arguments in
|
|||
|
|
constructor
|
|||
|
|
- Bug in read_csv when using skiprows on a file with CR line endings with
|
|||
|
|
the c engine.
|
|||
|
|
- isnull now detects NaT in PeriodIndex
|
|||
|
|
- Bug in groupby .nth() with a multiple column groupby
|
|||
|
|
- Bug in DataFrame.where and Series.where coerce numerics to string
|
|||
|
|
incorrectly
|
|||
|
|
- Bug in DataFrame.where and Series.where raise ValueError when string
|
|||
|
|
list-like is passed.
|
|||
|
|
- Accessing Series.str methods on with non-string values now raises
|
|||
|
|
TypeError instead of producing incorrect results
|
|||
|
|
- Bug in DatetimeIndex.__contains__ when index has duplicates and is not
|
|||
|
|
monotonic increasing
|
|||
|
|
- Fixed division by zero error for Series.kurt() when all values are equal
|
|||
|
|
- Fixed issue in the xlsxwriter engine where it added a default 'General'
|
|||
|
|
format to cells if no other format wass applied. This prevented other
|
|||
|
|
row or column formatting being applied.
|
|||
|
|
- Fixes issue with index_col=False when usecols is also specified in
|
|||
|
|
read_csv.
|
|||
|
|
- Bug where wide_to_long would modify the input stubnames list
|
|||
|
|
- Bug in to_sql not storing float64 values using double precision.
|
|||
|
|
- SparseSeries and SparsePanel now accept zero argument constructors (same
|
|||
|
|
as their non-sparse counterparts).
|
|||
|
|
- Regression in merging Categorical and object dtypes
|
|||
|
|
- Bug in read_csv with buffer overflows with certain malformed input files
|
|||
|
|
- Bug in groupby MultiIndex with missing pair
|
|||
|
|
- Fixed bug in Series.groupby where grouping on MultiIndex levels would
|
|||
|
|
ignore the sort argument
|
|||
|
|
- Fix bug in DataFrame.Groupby where sort=False is ignored in the case of
|
|||
|
|
Categorical columns.
|
|||
|
|
- Fixed bug with reading CSV files from Amazon S3 on python 3 raising a
|
|||
|
|
TypeError
|
|||
|
|
- Bug in the Google BigQuery reader where the 'jobComplete' key may be
|
|||
|
|
present but False in the query results
|
|||
|
|
- Bug in Series.values_counts with excluding NaN for categorical type
|
|||
|
|
Series with dropna=True
|
|||
|
|
- Fixed mising numeric_only option for DataFrame.std/var/sem
|
|||
|
|
- Support constructing Panel or Panel4D with scalar data
|
|||
|
|
- Series text representation disconnected from `max_rows`/`max_columns`.
|
|||
|
|
- Series number formatting inconsistent when truncated.
|
|||
|
|
- A Spurious SettingWithCopy Warning was generated when setting a new item
|
|||
|
|
in a frame in some cases
|
|||
|
|
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Jan 12 13:46:26 UTC 2015 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- update to version 0.15.2:
|
|||
|
|
* API changes:
|
|||
|
|
- Indexing in MultiIndex beyond lex-sort depth is now supported,
|
|||
|
|
though a lexically sorted index will have a better
|
|||
|
|
performance. (GH2646)
|
|||
|
|
- Bug in unique of Series with category dtype, which returned all
|
|||
|
|
categories regardless whether they were "used" or not (see
|
|||
|
|
GH8559 for the discussion). Previous behaviour was to return all
|
|||
|
|
categories.
|
|||
|
|
- Series.all and Series.any now support the level and skipna
|
|||
|
|
parameters. Series.all, Series.any, Index.all, and Index.any no
|
|||
|
|
longer support the out and keepdims parameters, which existed
|
|||
|
|
for compatibility with ndarray. Various index types no longer
|
|||
|
|
support the all and any aggregation functions and will now raise
|
|||
|
|
TypeError. (GH8302).
|
|||
|
|
- Allow equality comparisons of Series with a categorical dtype
|
|||
|
|
and object dtype; previously these would raise TypeError
|
|||
|
|
(GH8938)
|
|||
|
|
- Bug in NDFrame: conflicting attribute/column names now behave
|
|||
|
|
consistently between getting and setting. Previously, when both
|
|||
|
|
a column and attribute named y existed, data.y would return the
|
|||
|
|
attribute, while data.y = z would update the column (GH8994)
|
|||
|
|
- Timestamp('now') is now equivalent to Timestamp.now() in that it
|
|||
|
|
returns the local time rather than UTC. Also, Timestamp('today')
|
|||
|
|
is now equivalent to Timestamp.today() and both have tz as a
|
|||
|
|
possible argument. (GH9000)
|
|||
|
|
- Fix negative step support for label-based slices (GH8753)
|
|||
|
|
* Enhancements:
|
|||
|
|
- Added ability to export Categorical data to Stata (GH8633). See
|
|||
|
|
here for limitations of categorical variables exported to Stata
|
|||
|
|
data files.
|
|||
|
|
- Added flag order_categoricals to StataReader and read_stata to
|
|||
|
|
select whether to order imported categorical data (GH8836). See
|
|||
|
|
here for more information on importing categorical variables
|
|||
|
|
from Stata data files.
|
|||
|
|
- Added ability to export Categorical data to to/from HDF5
|
|||
|
|
(GH7621). Queries work the same as if it was an object
|
|||
|
|
array. However, the category dtyped data is stored in a more
|
|||
|
|
efficient manner. See here for an example and caveats
|
|||
|
|
w.r.t. prior versions of pandas.
|
|||
|
|
- Added support for searchsorted() on Categorical class (GH8420).
|
|||
|
|
- Added the ability to specify the SQL type of columns when
|
|||
|
|
writing a DataFrame to a database (GH8778). For example,
|
|||
|
|
specifying to use the sqlalchemy String type instead of the
|
|||
|
|
default Text type for string columns.
|
|||
|
|
- Series.all and Series.any now support the level and skipna
|
|||
|
|
parameters (GH8302).
|
|||
|
|
- Panel now supports the all and any aggregation
|
|||
|
|
functions. (GH8302).
|
|||
|
|
- Added support for utcfromtimestamp(), fromtimestamp(), and
|
|||
|
|
combine() on Timestamp class (GH5351).
|
|||
|
|
- Added Google Analytics (pandas.io.ga) basic documentation
|
|||
|
|
(GH8835).
|
|||
|
|
- Timedelta arithmetic returns NotImplemented in unknown cases,
|
|||
|
|
allowing extensions by custom classes (GH8813).
|
|||
|
|
- Timedelta now supports arithemtic with numpy.ndarray objects of
|
|||
|
|
the appropriate dtype (numpy 1.8 or newer only) (GH8884).
|
|||
|
|
- Added Timedelta.to_timedelta64() method to the public API
|
|||
|
|
(GH8884).
|
|||
|
|
- Added gbq.generate_bq_schema() function to the gbq module
|
|||
|
|
(GH8325).
|
|||
|
|
- Series now works with map objects the same way as generators
|
|||
|
|
(GH8909).
|
|||
|
|
- Added context manager to HDFStore for automatic closing
|
|||
|
|
(GH8791).
|
|||
|
|
- to_datetime gains an exact keyword to allow for a format to not
|
|||
|
|
require an exact match for a provided format string (if its
|
|||
|
|
False). exact defaults to True (meaning that exact matching is
|
|||
|
|
still the default) (GH8904)
|
|||
|
|
- Added axvlines boolean option to parallel_coordinates plot
|
|||
|
|
function, determines whether vertical lines will be printed,
|
|||
|
|
default is True
|
|||
|
|
- Added ability to read table footers to read_html (GH8552).
|
|||
|
|
- to_sql now infers datatypes of non-NA values for columns that
|
|||
|
|
contain NA values and have dtype object (GH8778).
|
|||
|
|
* Performance:
|
|||
|
|
- Reduce memory usage when skiprows is an integer in read_csv
|
|||
|
|
(GH8681)
|
|||
|
|
- Performance boost for to_datetime conversions with a passed
|
|||
|
|
format=, and the exact=False (GH8904)
|
|||
|
|
* Bug fixes:
|
|||
|
|
- Bug in concat of Series with category dtype which were coercing
|
|||
|
|
to object. (GH8641)
|
|||
|
|
- Bug in Timestamp-Timestamp not returning a Timedelta type and
|
|||
|
|
datelike-datelike ops with timezones (GH8865)
|
|||
|
|
- Made consistent a timezone mismatch exception (either tz
|
|||
|
|
operated with None or incompatible timezone), will now return
|
|||
|
|
TypeError rather than ValueError (a couple of edge cases only),
|
|||
|
|
(GH8865)
|
|||
|
|
- Bug in using a pd.Grouper(key=...) with no level/axis or level
|
|||
|
|
only (GH8795, GH8866)
|
|||
|
|
- Report a TypeError when invalid/no paramaters are passed in a
|
|||
|
|
groupby (GH8015)
|
|||
|
|
- Bug in packaging pandas with py2app/cx_Freeze (GH8602, GH8831)
|
|||
|
|
- Bug in groupby signatures that didn’t include *args or **kwargs
|
|||
|
|
(GH8733).
|
|||
|
|
- io.data.Options now raises RemoteDataError when no expiry dates
|
|||
|
|
are available from Yahoo and when it receives no data from Yahoo
|
|||
|
|
(GH8761), (GH8783).
|
|||
|
|
- Unclear error message in csv parsing when passing dtype and
|
|||
|
|
names and the parsed data is a different data type (GH8833)
|
|||
|
|
- Bug in slicing a multi-index with an empty list and at least one
|
|||
|
|
boolean indexer (GH8781)
|
|||
|
|
- io.data.Options now raises RemoteDataError when no expiry dates
|
|||
|
|
are available from Yahoo (GH8761).
|
|||
|
|
- Timedelta kwargs may now be numpy ints and floats (GH8757).
|
|||
|
|
- Fixed several outstanding bugs for Timedelta arithmetic and
|
|||
|
|
comparisons (GH8813, GH5963, GH5436).
|
|||
|
|
- sql_schema now generates dialect appropriate CREATE TABLE
|
|||
|
|
statements (GH8697)
|
|||
|
|
- slice string method now takes step into account (GH8754)
|
|||
|
|
- Bug in BlockManager where setting values with different type
|
|||
|
|
would break block integrity (GH8850)
|
|||
|
|
- Bug in DatetimeIndex when using time object as key (GH8667)
|
|||
|
|
- Bug in merge where how='left' and sort=False would not preserve
|
|||
|
|
left frame order (GH7331)
|
|||
|
|
- Bug in MultiIndex.reindex where reindexing at level would not
|
|||
|
|
reorder labels (GH4088)
|
|||
|
|
- Bug in certain operations with dateutil timezones, manifesting
|
|||
|
|
with dateutil 2.3 (GH8639)
|
|||
|
|
- Regression in DatetimeIndex iteration with a Fixed/Local offset
|
|||
|
|
timezone (GH8890)
|
|||
|
|
- Bug in to_datetime when parsing a nanoseconds using the %f
|
|||
|
|
format (GH8989)
|
|||
|
|
- io.data.Options now raises RemoteDataError when no expiry dates
|
|||
|
|
are available from Yahoo and when it receives no data from Yahoo
|
|||
|
|
(GH8761), (GH8783).
|
|||
|
|
- Fix: The font size was only set on x axis if vertical or the y
|
|||
|
|
axis if horizontal. (GH8765)
|
|||
|
|
- Fixed division by 0 when reading big csv files in python 3
|
|||
|
|
(GH8621)
|
|||
|
|
- Bug in outputing a Multindex with to_html,index=False which
|
|||
|
|
would add an extra column (GH8452)
|
|||
|
|
- Imported categorical variables from Stata files retain the
|
|||
|
|
ordinal information in the underlying data (GH8836).
|
|||
|
|
- Defined .size attribute across NDFrame objects to provide compat
|
|||
|
|
with numpy >= 1.9.1; buggy with np.array_split (GH8846)
|
|||
|
|
- Skip testing of histogram plots for matplotlib <= 1.2 (GH8648).
|
|||
|
|
- Bug where get_data_google returned object dtypes (GH3995)
|
|||
|
|
- Bug in DataFrame.stack(..., dropna=False) when the DataFrame’s
|
|||
|
|
columns is a MultiIndex whose labels do not reference all its
|
|||
|
|
levels. (GH8844)
|
|||
|
|
- Bug in that Option context applied on __enter__ (GH8514)
|
|||
|
|
- Bug in resample that causes a ValueError when resampling across
|
|||
|
|
multiple days and the last offset is not calculated from the
|
|||
|
|
start of the range (GH8683)
|
|||
|
|
- Bug where DataFrame.plot(kind='scatter') fails when checking if
|
|||
|
|
an np.array is in the DataFrame (GH8852)
|
|||
|
|
- Bug in pd.infer_freq/DataFrame.inferred_freq that prevented
|
|||
|
|
proper sub-daily frequency inference when the index contained
|
|||
|
|
DST days (GH8772).
|
|||
|
|
- Bug where index name was still used when plotting a series with
|
|||
|
|
use_index=False (GH8558).
|
|||
|
|
- Bugs when trying to stack multiple columns, when some (or all)
|
|||
|
|
of the level names are numbers (GH8584).
|
|||
|
|
- Bug in MultiIndex where __contains__ returns wrong result if
|
|||
|
|
index is not lexically sorted or unique (GH7724)
|
|||
|
|
- BUG CSV: fix problem with trailing whitespace in skipped rows,
|
|||
|
|
(GH8679), (GH8661), (GH8983)
|
|||
|
|
- Regression in Timestamp does not parse ‘Z’ zone designator for
|
|||
|
|
UTC (GH8771)
|
|||
|
|
- Bug in StataWriter the produces writes strings with 244
|
|||
|
|
characters irrespective of actual size (GH8969)
|
|||
|
|
- Fixed ValueError raised by cummin/cummax when datetime64 Series
|
|||
|
|
contains NaT. (GH8965)
|
|||
|
|
- Bug in Datareader returns object dtype if there are missing
|
|||
|
|
values (GH8980)
|
|||
|
|
- Bug in plotting if sharex was enabled and index was a
|
|||
|
|
timeseries, would show labels on multiple axes (GH3964).
|
|||
|
|
- Bug where passing a unit to the TimedeltaIndex constructor
|
|||
|
|
applied the to nano-second conversion twice. (GH9011).
|
|||
|
|
- Bug in plotting of a period-like array (GH9012)
|
|||
|
|
- Update copyright year
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Nov 9 15:40:36 UTC 2014 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Updated to version 0.15.1:
|
|||
|
|
+ API changes
|
|||
|
|
- Represent ``MultiIndex`` labels with a dtype that utilizes memory based
|
|||
|
|
on the level size.
|
|||
|
|
- ``groupby`` with ``as_index=False`` will not add erroneous extra columns
|
|||
|
|
to result (:issue:`8582`):
|
|||
|
|
- ``groupby`` will not erroneously exclude columns if the column name
|
|||
|
|
conflics with the grouper name (:issue:`8112`):
|
|||
|
|
- ``concat`` permits a wider variety of iterables of pandas objects to be
|
|||
|
|
passed as the first parameter (:issue:`8645`):
|
|||
|
|
- ``s.dt.hour`` and other ``.dt`` accessors will now return ``np.nan`` for
|
|||
|
|
missing values (rather than previously -1), (:issue:`8689`)
|
|||
|
|
- support for slicing with monotonic decreasing indexes, even if ``start``
|
|||
|
|
or ``stop`` is not found in the index (:issue:`7860`):
|
|||
|
|
- added Index properties `is_monotonic_increasing` and
|
|||
|
|
`is_monotonic_decreasing` (:issue:`8680`).
|
|||
|
|
- pandas now also registers the ``datetime64`` dtype in matplotlib's units
|
|||
|
|
registry to plot such values as datetimes.
|
|||
|
|
+ Enhancements
|
|||
|
|
- Added option to select columns when importing Stata files (:issue:`7935`)
|
|||
|
|
- Qualify memory usage in ``DataFrame.info()`` by adding ``+`` if it is a
|
|||
|
|
lower bound (:issue:`8578`)
|
|||
|
|
- Raise errors in certain aggregation cases where an argument such as
|
|||
|
|
``numeric_only`` is not handled (:issue:`8592`).
|
|||
|
|
- Added support for 3-character ISO and non-standard country codes in
|
|||
|
|
:func:``io.wb.download()`` (:issue:`8482`)
|
|||
|
|
- :ref:`World Bank data requests <remote_data.wb>` now will warn/raise
|
|||
|
|
based on an ``errors`` argument, as well as a list of hard-coded country
|
|||
|
|
codes and the World Bank's JSON response.
|
|||
|
|
- Added option to ``Series.str.split()`` to return a ``DataFrame`` rather
|
|||
|
|
than a ``Series`` (:issue:`8428`)
|
|||
|
|
- Added option to ``df.info(null_counts=None|True|False)`` to override the
|
|||
|
|
default display options and force showing of the null-counts
|
|||
|
|
(:issue:`8701`)
|
|||
|
|
+ Bug Fixes
|
|||
|
|
- Bug in unpickling of a ``CustomBusinessDay`` object (:issue:`8591`)
|
|||
|
|
- Bug in coercing ``Categorical`` to a records array, e.g.
|
|||
|
|
``df.to_records()`` (:issue:`8626`)
|
|||
|
|
- Bug in ``Categorical`` not created properly with ``Series.to_frame()``
|
|||
|
|
(:issue:`8626`)
|
|||
|
|
- Bug in coercing in astype of a ``Categorical`` of a passed
|
|||
|
|
``pd.Categorical`` (this now raises ``TypeError`` correctly),
|
|||
|
|
(:issue:`8626`)
|
|||
|
|
- Bug in ``cut``/``qcut`` when using ``Series`` and ``retbins=True``
|
|||
|
|
(:issue:`8589`)
|
|||
|
|
- Bug in writing Categorical columns to an SQL database with ``to_sql``
|
|||
|
|
(:issue:`8624`).
|
|||
|
|
- Bug in comparing ``Categorical`` of datetime raising when being compared
|
|||
|
|
to a scalar datetime (:issue:`8687`)
|
|||
|
|
- Bug in selecting from a ``Categorical`` with ``.iloc`` (:issue:`8623`)
|
|||
|
|
- Bug in groupby-transform with a Categorical (:issue:`8623`)
|
|||
|
|
- Bug in duplicated/drop_duplicates with a Categorical (:issue:`8623`)
|
|||
|
|
- Bug in ``Categorical`` reflected comparison operator raising if the first
|
|||
|
|
argument was a numpy array scalar (e.g. np.int64) (:issue:`8658`)
|
|||
|
|
- Bug in Panel indexing with a list-like (:issue:`8710`)
|
|||
|
|
- Compat issue is ``DataFrame.dtypes`` when
|
|||
|
|
``options.mode.use_inf_as_null`` is True (:issue:`8722`)
|
|||
|
|
- Bug in ``read_csv``, ``dialect`` parameter would not take a string
|
|||
|
|
(:issue: `8703`)
|
|||
|
|
- Bug in slicing a multi-index level with an empty-list (:issue:`8737`)
|
|||
|
|
- Bug in numeric index operations of add/sub with Float/Index Index with
|
|||
|
|
numpy arrays (:issue:`8608`)
|
|||
|
|
- Bug in setitem with empty indexer and unwanted coercion of dtypes
|
|||
|
|
(:issue:`8669`)
|
|||
|
|
- Bug in ix/loc block splitting on setitem (manifests with integer-like
|
|||
|
|
dtypes, e.g. datetime64) (:issue:`8607`)
|
|||
|
|
- Bug when doing label based indexing with integers not found in the index
|
|||
|
|
for non-unique but monotonic indexes (:issue:`8680`).
|
|||
|
|
- Bug when indexing a Float64Index with ``np.nan`` on numpy 1.7
|
|||
|
|
(:issue:`8980`).
|
|||
|
|
- Fix ``shape`` attribute for ``MultiIndex`` (:issue:`8609`)
|
|||
|
|
- Bug in ``GroupBy`` where a name conflict between the grouper and columns
|
|||
|
|
would break ``groupby`` operations (:issue:`7115`, :issue:`8112`)
|
|||
|
|
- Fixed a bug where plotting a column ``y`` and specifying a label would
|
|||
|
|
mutate the index name of the original DataFrame (:issue:`8494`)
|
|||
|
|
- Fix regression in plotting of a DatetimeIndex directly with matplotlib
|
|||
|
|
(:issue:`8614`).
|
|||
|
|
- Bug in ``date_range`` where partially-specified dates would incorporate
|
|||
|
|
current date (:issue:`6961`)
|
|||
|
|
- Bug in Setting by indexer to a scalar value with a mixed-dtype `Panel4d`
|
|||
|
|
was failing (:issue:`8702`)
|
|||
|
|
- Bug where ``DataReader``'s would fail if one of the symbols passed was
|
|||
|
|
invalid. Now returns data for valid symbols and np.nan for invalid
|
|||
|
|
(:issue:`8494`)
|
|||
|
|
- Bug in ``get_quote_yahoo`` that wouldn't allow non-float return values
|
|||
|
|
(:issue:`5229`).
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Oct 20 10:42:30 UTC 2014 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to 0.15.0, highlights:
|
|||
|
|
- Drop support for numpy < 1.7.0
|
|||
|
|
- The Categorical type was integrated as a first-class
|
|||
|
|
pandas type
|
|||
|
|
- New scalar type Timedelta, and a new index type TimedeltaIndex
|
|||
|
|
- New DataFrame default display for df.info() to
|
|||
|
|
include memory usage
|
|||
|
|
- New datetimelike properties accessor .dt for Series
|
|||
|
|
- Split indexing documentation into Indexing and Selecting Data and
|
|||
|
|
MultiIndex / Advanced Indexing
|
|||
|
|
- Split out string methods documentation into Working with Text Data
|
|||
|
|
- read_csv will now by default ignore blank lines when parsing
|
|||
|
|
- API change in using Indexes in set operations
|
|||
|
|
- Internal refactoring of the Index class to no longer
|
|||
|
|
sub-class ndarray
|
|||
|
|
- dropping support for PyTables less than version 3.0.0,
|
|||
|
|
and numexpr less than version 2.1
|
|||
|
|
- Update minimum dependency versions of
|
|||
|
|
python-numpy, python-tables, and python-numexpr
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jul 15 12:31:13 UTC 2014 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to 0.14.1, highlights:
|
|||
|
|
- New methods :meth:`~pandas.DataFrame.select_dtypes` to select columns
|
|||
|
|
based on the dtype and :meth:`~pandas.Series.sem` to calculate the
|
|||
|
|
standard error of the mean.
|
|||
|
|
- Support for dateutil timezones (see :ref:`docs <timeseries.timezone>`).
|
|||
|
|
- Support for ignoring full line comments in the :func:`~pandas.read_csv`
|
|||
|
|
text parser.
|
|||
|
|
- New documentation section on :ref:`Options and Settings <options>`.
|
|||
|
|
- Lots of bug fixes.
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Sun Jun 1 07:41:11 UTC 2014 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to 0.14.0, highlights:
|
|||
|
|
* Officially support Python 3.4
|
|||
|
|
* SQL interfaces updated to use sqlalchemy
|
|||
|
|
* Display interface changes
|
|||
|
|
* MultiIndexing Using Slicers
|
|||
|
|
* Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame
|
|||
|
|
* More consistency in groupby results and more flexible groupby specifications
|
|||
|
|
* Holiday calendars are now supported in CustomBusinessDay
|
|||
|
|
* Several improvements in plotting functions, including: hexbin, area and pie plots
|
|||
|
|
* Performance doc section on I/O operations, See Here
|
|||
|
|
- Added python-SQLAlchemy dependency
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Fri Mar 7 04:11:36 UTC 2014 - arun@gmx.de
|
|||
|
|
|
|||
|
|
- updated to 0.13.1
|
|||
|
|
|
|||
|
|
500 lines worth of Changelog entries, so too long:) For a complete
|
|||
|
|
list see: http://pandas.pydata.org/pandas-docs/dev/release.html
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon Oct 21 21:59:47 UTC 2013 - toddrme2178@gmail.com
|
|||
|
|
|
|||
|
|
- Update to 0.12.0
|
|||
|
|
* Integrated JSON reading and writing with the read_json
|
|||
|
|
functions and methods like DataFrame.to_json.
|
|||
|
|
* New HTML table reading function read_html which will use either
|
|||
|
|
lxml or BeautifulSoup under the hood.
|
|||
|
|
* Support for reading and writing STATA format files.
|
|||
|
|
- Add all optional dependencies as Recommends
|
|||
|
|
- Build and install documentation
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Mon May 6 06:01:46 UTC 2013 - highwaystar.ru@gmail.com
|
|||
|
|
|
|||
|
|
- added Recommends: python-tables
|
|||
|
|
- update to 0.11.0
|
|||
|
|
* New precision indexing fields loc, iloc, at, and iat, to reduce
|
|||
|
|
occasional ambiguity in the catch-all hitherto ix method.
|
|||
|
|
* Expanded support for NumPy data types in DataFrame
|
|||
|
|
* NumExpr integration to accelerate various operator evaluation
|
|||
|
|
* New Cookbook and 10 minutes to pandas pages in the documentation
|
|||
|
|
by Jeff Reback
|
|||
|
|
* Improved DataFrame to CSV exporting performance
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jun 19 20:29:31 UTC 2012 - scorot@free.fr
|
|||
|
|
|
|||
|
|
- remove unneeded python-Pygments and python-Sphinx from build
|
|||
|
|
requirements
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jun 19 20:23:50 UTC 2012 - scorot@free.fr
|
|||
|
|
|
|||
|
|
- remove duplicates
|
|||
|
|
- fix bytecode inconsistent mtime
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Jun 13 20:45:39 UTC 2012 - scorot@free.fr
|
|||
|
|
|
|||
|
|
- use proper commands instead of deprecated macro
|
|||
|
|
- remove unneeded -01 and --skip-build flags from the install
|
|||
|
|
command line
|
|||
|
|
- set install prefix with %%{_prefix} instead of hard coded path
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Wed Jun 13 18:41:46 UTC 2012 - scorot@free.fr
|
|||
|
|
|
|||
|
|
- add %%py_compile macro in order to fix byte code mtime
|
|||
|
|
inconsistency
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jun 12 21:03:07 UTC 2012 - scorot@free.fr
|
|||
|
|
|
|||
|
|
- spec file reformating
|
|||
|
|
|
|||
|
|
-------------------------------------------------------------------
|
|||
|
|
Tue Jun 12 20:46:31 UTC 2012 - scorot@free.fr
|
|||
|
|
|
|||
|
|
- first package
|
|||
|
|
|