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<title>linux/meta-openembedded.git/meta-python/recipes-devtools/python/python3-pandas_1.2.0.bb, branch kirkstone-next</title>
<subtitle>Mirror of git.openembedded.org/meta-openembedded</subtitle>
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<updated>2021-01-25T22:34:06+00:00</updated>
<entry>
<title>python3-pandas: Upgrade 1.2.0 -&gt; 1.2.1</title>
<updated>2021-01-25T22:34:06+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2021-01-20T16:52:59+00:00</published>
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<id>urn:sha1:83501388f1cb1eafefa4c9708ac0b1871f829afe</id>
<content type='text'>
Upgrade to release 1.2.1:

- Fixed regression in to_csv() that created corrupted zip files
  when there were more rows than chunksize
- Fixed regression in to_csv() opening codecs.StreamReaderWriter
  in binary mode instead of in text mode
- Fixed regression in read_csv() and other read functions were
  the encoding error policy (errors) did not default to "replace"
  when no encoding was specified
- Fixed regression in read_excel() with non-rawbyte file handles
- Fixed regression in DataFrame.to_stata() not removing the
  created file when an error occured
- Fixed regression in DataFrame.__setitem__ raising ValueError
  when expanding DataFrame and new column is from type "0 - name"
- Fixed regression in setting with DataFrame.loc() raising
  ValueError when DataFrame has unsorted MultiIndex columns and
  indexer is a scalar
- Fixed regression in setting with DataFrame.loc() raising
  KeyError with MultiIndex and list-like columns indexer enlarging
  DataFrame
- Fixed regression in groupby() with Categorical grouping column
  not showing unused categories for grouped.indices
- Fixed regression in GroupBy.sem() where the presence of
  non-numeric columns would cause an error instead of being
  dropped
- Fixed regression in DataFrameGroupBy.diff() raising for int8 and
  int16 columns
- Fixed regression in DataFrame.groupby() when aggregating an
  ExtensionDType that could fail for non-numeric values
- Fixed regression in Rolling.skew() and Rolling.kurt() modifying
  the object inplace
- Fixed regression in DataFrame.any() and DataFrame.all() not
  returning a result for tz-aware datetime64 columns
- Fixed regression in DataFrame.apply() with axis=1 using str
  accessor in apply function
- Fixed regression in DataFrame.replace() raising ValueError when
  DataFrame has dtype bytes
- Fixed regression in Series.fillna() that raised RecursionError
  with datetime64[ns, UTC] dtype
- Fixed regression in comparisons between NaT and datetime.date
  objects incorrectly returning True
- Fixed regression in calling NumPy accumulate() ufuncs on
  DataFrames, e.g. np.maximum.accumulate(df)
- Fixed regression in repr of float-like strings of an object
  dtype having trailing 0’s truncated after the decimal
- Fixed regression that raised AttributeError with PyArrow
  versions [0.16.0, 1.0.0)
- Fixed regression in pandas.testing.assert_frame_equal() raising
  TypeError with check_like=True when Index or columns have mixed
  dtype

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 1.1.4 -&gt; 1.2.0</title>
<updated>2021-01-08T16:41:49+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2021-01-05T15:16:38+00:00</published>
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<id>urn:sha1:4e066e9a1e8fef5fb8f3a3072cd58c54817f89b6</id>
<content type='text'>
Upgrade to release 1.2.0:

- 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
- Various 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>
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