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<title>linux/meta-openembedded.git/meta-python/recipes-devtools/python/python3-pandas_1.1.4.bb, branch scarthgap</title>
<subtitle>Mirror of git.openembedded.org/meta-openembedded</subtitle>
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<updated>2021-01-08T16:41:49+00:00</updated>
<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>
<entry>
<title>python3-pandas: Upgrade 1.1.3 -&gt; 1.1.4</title>
<updated>2020-11-18T16:18:24+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2020-11-12T10:56:17+00:00</published>
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<id>urn:sha1:ca243baa6c06c47e339eb95347040c713bfff490</id>
<content type='text'>
Upgrade to release 1.1.4:

- Fixed regression in read_csv() raising a ValueError when names
  was of type dict_keys
- Fixed regression in read_csv() with more than 1M rows and
  specifying a index_col argument
- Fixed regression where attempting to mutate a DateOffset object
  would no longer raise an AttributeError
- Fixed regression where DataFrame.agg() would fail with TypeError
  when passed positional arguments to be passed on to the
  aggregation function
- Fixed regression in RollingGroupby with sort=False not being
  respected
- Fixed regression in Series.astype() converting None to "nan"
  when casting to string
- Fixed regression in Series.rank() method failing for read-only
  data
- Fixed regression in RollingGroupby causing a segmentation fault
  with Index of dtype object
- Fixed regression in DataFrame.resample(...).apply(...)() raised
  AttributeError when input was a DataFrame and only a Series was
  evaluated
- Fixed regression in DataFrame.groupby(..).std() with nullable
  integer dtype
- Fixed regression in PeriodDtype comparing both equal and unequal
  to its string representation
- Fixed regression where slicing DatetimeIndex raised AssertionError
  on irregular time series with pd.NaT or on unsorted indices
- Fixed regression in certain offsets (pd.offsets.Day() and below)
  no longer being hashable
- Fixed regression in StataReader which required chunksize to be
  manually set when using an iterator to read a dataset
- Fixed regression in setitem with DataFrame.iloc() which raised
  error when trying to set a value while filtering with a boolean
  list
- Fixed regression in setitem with a Series getting aligned before
  setting the values
- Fixed regression in MultiIndex.is_monotonic_increasing returning
  wrong results with NaN in at least one of the levels
- Fixed regression in inplace arithmetic operation on a Series not
  updating the parent DataFrame
- Fixed bug causing groupby(...).sum() and similar to not preserve
  metadata
- Fixed bug in Series.isin() and DataFrame.isin() raising a
  ValueError when the target was read-only
- Fixed bug in GroupBy.fillna() that introduced a performance
  regression after 1.0.5
- Fixed bug in DataFrame.info() was raising a KeyError when the
  DataFrame has integer column names
- Fixed bug in DataFrameGroupby.apply() would drop a
  CategoricalIndex when grouped on

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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