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<title>linux/meta-openembedded.git/meta-python/recipes-devtools/python/python3-pandas_1.1.1.bb, branch kirkstone-next</title>
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<updated>2020-09-15T16:28:35+00:00</updated>
<entry>
<title>python3-pandas: Upgrade 1.1.1 -&gt; 1.1.2</title>
<updated>2020-09-15T16:28:35+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2020-09-14T13:15:34+00:00</published>
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<id>urn:sha1:34309528040995273be36b6eee634f8b68867a96</id>
<content type='text'>
Upgrade to release 1.1.2:

- Regression in DatetimeIndex.intersection() incorrectly raising
  AssertionError when intersecting against a list
- Fix regression in updating a column inplace
- Fix regression in DataFrame.append() mixing tz-aware and
  tz-naive datetime columns
- Performance regression for RangeIndex.format()
- Regression where MultiIndex.get_loc() would return a slice
  spanning the full index when passed an empty list
- Bug in DataFrame.eval() with object dtype column binary
  operations
- Bug in Series constructor raising a TypeError when constructing
  sparse datetime64 dtypes
- Bug in DataFrame.apply() with result_type="reduce" returning
  with incorrect index
- Bug in Series.astype() and DataFrame.astype() not respecting the
  errors argument when set to "ignore" for extension dtypes
- Bug in DateTimeIndex.format() and PeriodIndex.format() with
  name=True setting the first item to "None" where it should be ""
- Other bug fixes

Signed-off-by: Leon Anavi &lt;leon.anavi@konsulko.com&gt;
Acked-by: Trevor Gamblin &lt;trevor.gamblin@windriver.com&gt;
Signed-off-by: Khem Raj &lt;raj.khem@gmail.com&gt;
</content>
</entry>
<entry>
<title>python3-pandas: Upgrade 1.1.0 -&gt; 1.1.1</title>
<updated>2020-08-25T17:34:27+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2020-08-24T14:50:03+00:00</published>
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<id>urn:sha1:28619bb56c9aeb3d71d15bd2924205a7936702a6</id>
<content type='text'>
Upgrade to release 1.1.1:

- 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
- Fixed regression in Series.truncate() when trying to truncate
  a single-element series
- Fixed regression where DataFrame.to_numpy() would raise a
  RuntimeError for mixed dtypes when converting to str
- Fixed regression where read_csv() would raise a ValueError when
  pandas.options.mode.use_inf_as_na was set to True
- Fixed regression where pandas.testing.assert_series_equal()
  would raise an error when non-numeric dtypes were passed with
  check_exact=True
- Fixed regression in .groupby(..).rolling(..) where column
  selection was ignored
- Fixed regression where DataFrame.interpolate() would raise a
  TypeError when the DataFrame was empty
- Fixed regression in DataFrame.shift() with axis=1 and
  heterogeneous dtypes
- Fixed regression in DataFrame.diff() with read-only data
- Fixed regression in .groupby(..).rolling(..) where a segfault
  would occur with center=True and an odd number of values
- Fixed regression in DataFrame.apply() where functions that
  altered the input in-place only operated on a single row
- Fixed regression in DataFrame.reset_index() would raise a
  ValueError on empty DataFrame with a MultiIndex with a
  datetime64 dtype level
- Fixed regression where pandas.merge_asof() would raise a
  UnboundLocalError when left_index, right_index and tolerance
  were set
- Fixed regression in .groupby(..).rolling(..) where a custom
  BaseIndexer would be ignored
- Fixed regression in DataFrame.replace() and Series.replace()
  where compiled regular expressions would be ignored during
  replacement
- Bug in Styler whereby cell_ids argument had no effect due to
  other recent changes
- 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
- Bug in to_timedelta() fails when arg is a Series with Int64
  dtype containing null values
- Bug in .groupby(..).rolling(..) where passing closed with
  column selection would raise a ValueError
- Bug in DataFrame constructor failing to raise ValueError in
  some cases when data and index have mismatched lengths

Signed-off-by: Leon Anavi &lt;leon.anavi@konsulko.com&gt;
Acked-by: Trevor Gamblin &lt;trevor.gamblin@windriver.com&gt;
Signed-off-by: Khem Raj &lt;raj.khem@gmail.com&gt;
</content>
</entry>
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