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<title>linux/meta-openembedded.git/meta-python/recipes-devtools/python/python3-pandas_1.4.0.bb, branch mickledore</title>
<subtitle>Mirror of git.openembedded.org/meta-openembedded</subtitle>
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<updated>2022-02-24T16:30:26+00:00</updated>
<entry>
<title>python3-pandas: Upgrade 1.4.0 -&gt; 1.4.1</title>
<updated>2022-02-24T16:30:26+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2022-02-23T13:17:19+00:00</published>
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<id>urn:sha1:91704ff653938938fad1053bb75093f30e551294</id>
<content type='text'>
Upgrade to release 1.4.1:

- Regression in Series.mask() with inplace=True and PeriodDtype and
  an incompatible other coercing to a common dtype instead of
  raising
- Regression in assert_frame_equal() not respecting check_flags=False
- Regression in DataFrame.loc() raising ValueError when indexing
  (getting values) on a MultiIndex with one level
- Regression in Series.fillna() with downcast=False incorrectly
  downcasting object dtype
- Regression in api.types.is_bool_dtype() raising an AttributeError
  when evaluating a categorical Series
- Regression in DataFrame.iat() setting values leading to not
  propagating correctly in subsequent lookups
- Regression when setting values with DataFrame.loc() losing Index
  name if DataFrame was empty before
- Regression in join() with overlapping IntervalIndex raising an
  InvalidIndexError
- Regression when setting values with Series.loc() raising with all
  False indexer and Series on the right hand side
- Regression in read_sql() with a DBAPI2 connection that is not an
  instance of sqlite3.Connection incorrectly requiring SQLAlchemy
  be installed
- Regression in DateOffset when constructing with an integer
  argument with no keywords (e.g. pd.DateOffset(n)) would behave
  like datetime.timedelta(days=0)
- Fixed segfault in DataFrame.to_json() when dumping tz-aware
  datetimes in Python 3.10
- Stopped emitting unnecessary FutureWarning in
  DataFrame.sort_values() with sparse columns
- Fixed window aggregations in DataFrame.rolling() and
  Series.rolling() to skip over unused elements
- Fixed builtin highlighters in Styler to be responsive to NA with
  nullable dtypes
- Bug in apply() with axis=1 raising an erroneous ValueError
- Reverted performance speedup of DataFrame.corr() for
  method=pearson to fix precision regression

Signed-off-by: Leon Anavi &lt;leon.anavi@konsulko.com&gt;
Signed-off-by: Khem Raj &lt;raj.khem@gmail.com&gt;
Signed-off-by: Trevor Gamblin &lt;trevor.gamblin@windriver.com&gt;
</content>
</entry>
<entry>
<title>python3-pandas: Upgrade 1.3.5 -&gt; 1.4.0</title>
<updated>2022-01-25T17:11:36+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2022-01-24T15:15:42+00:00</published>
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<id>urn:sha1:1f6703df9767a6d4b8ae9b045a540de295db6b58</id>
<content type='text'>
Upgrade to release 1.4.0:

- Improved warning messages
- Index can hold arbitrary ExtensionArrays
- 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
- Fix inconsistent date string parsing
- Fix 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

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