Accepting request 557957 from devel:languages:python
OBS-URL: https://build.opensuse.org/request/show/557957 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=7
This commit is contained in:
Dominique Leuenberger
Git OBS Bridge
parent
c9c984b20d
commit
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version https://git-lfs.github.com/spec/v1
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pandas-0.21.1.tar.gz
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pandas-0.21.1.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5f5cba88bf0659554c41c909e1f78139f6fce8fa9315a29a23692b38ff9788a
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size 11288319
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-------------------------------------------------------------------
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Sat Dec 16 23:04:54 UTC 2017 - arun@gmx.de
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- update to version 0.21.1:
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* Highlights include:
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+ Temporarily restore matplotlib datetime plotting
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functionality. This should resolve issues for users who
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implicitly relied on pandas to plot datetimes with
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matplotlib. See here.
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+ Improvements to the Parquet IO functions introduced in
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0.21.0. See here.
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* Improvements to the Parquet IO functionality
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+ DataFrame.to_parquet() will now write non-default indexes when
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the underlying engine supports it. The indexes will be preserved
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when reading back in with read_parquet() (GH18581).
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+ read_parquet() now allows to specify the columns to read from a
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parquet file (GH18154)
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+ read_parquet() now allows to specify kwargs which are passed to
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the respective engine (GH18216)
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* Other Enhancements
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+ Timestamp.timestamp() is now available in Python 2.7. (GH17329)
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+ Grouper and TimeGrouper now have a friendly repr output
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(GH18203).
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* Deprecations
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+ pandas.tseries.register has been renamed to
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pandas.plotting.register_matplotlib_converters`() (GH18301)
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* Performance Improvements
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+ Improved performance of plotting large series/dataframes
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(GH18236).
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* Conversion
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+ Bug in TimedeltaIndex subtraction could incorrectly overflow
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when NaT is present (GH17791)
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+ Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex
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could fail to overflow (GH18020)
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+ Bug in IntervalIndex.copy() when copying and IntervalIndex with
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non-default closed (GH18339)
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+ Bug in DataFrame.to_dict() where columns of datetime that are
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tz-aware were not converted to required arrays when used with
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orient='records', raising"TypeError` (GH18372)
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+ Bug in DateTimeIndex and date_range() where mismatching tz-aware
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start and end timezones would not raise an err if end.tzinfo is
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None (GH18431)
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+ Bug in Series.fillna() which raised when passed a long integer
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on Python 2 (GH18159).
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* Indexing
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+ Bug in a boolean comparison of a datetime.datetime and a
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datetime64[ns] dtype Series (GH17965)
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+ Bug where a MultiIndex with more than a million records was not
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raising AttributeError when trying to access a missing attribute
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(GH18165)
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+ Bug in IntervalIndex constructor when a list of intervals is
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passed with non-default closed (GH18334)
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+ Bug in Index.putmask when an invalid mask passed (GH18368)
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+ Bug in masked assignment of a timedelta64[ns] dtype Series,
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incorrectly coerced to float (GH18493)
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* I/O
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+ Bug in class:~pandas.io.stata.StataReader not converting
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date/time columns with display formatting addressed
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(GH17990). Previously columns with display formatting were
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normally left as ordinal numbers and not converted to datetime
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objects.
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+ Bug in read_csv() when reading a compressed UTF-16 encoded file
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(GH18071)
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+ Bug in read_csv() for handling null values in index columns when
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specifying na_filter=False (GH5239)
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+ Bug in read_csv() when reading numeric category fields with high
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cardinality (GH18186)
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+ Bug in DataFrame.to_csv() when the table had MultiIndex columns,
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and a list of strings was passed in for header (GH5539)
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+ Bug in parsing integer datetime-like columns with specified
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format in read_sql (GH17855).
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+ Bug in DataFrame.to_msgpack() when serializing data of the
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numpy.bool_ datatype (GH18390)
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+ Bug in read_json() not decoding when reading line deliminted
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JSON from S3 (GH17200)
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+ Bug in pandas.io.json.json_normalize() to avoid modification of
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meta (GH18610)
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+ Bug in to_latex() where repeated multi-index values were not
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printed even though a higher level index differed from the
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previous row (GH14484)
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+ Bug when reading NaN-only categorical columns in HDFStore
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(GH18413)
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+ Bug in DataFrame.to_latex() with longtable=True where a latex
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multicolumn always spanned over three columns (GH17959)
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* Plotting
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+ Bug in DataFrame.plot() and Series.plot() with DatetimeIndex
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where a figure generated by them is not pickleable in Python 3
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(GH18439)
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* Groupby/Resample/Rolling
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+ Bug in DataFrame.resample(...).apply(...) when there is a
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callable that returns different columns (GH15169)
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+ Bug in DataFrame.resample(...) when there is a time change (DST)
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and resampling frequecy is 12h or higher (GH15549)
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+ Bug in pd.DataFrameGroupBy.count() when counting over a
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datetimelike column (GH13393)
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+ Bug in rolling.var where calculation is inaccurate with a
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zero-valued array (GH18430)
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* Reshaping
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+ Error message in pd.merge_asof() for key datatype mismatch now
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includes datatype of left and right key (GH18068)
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+ Bug in pd.concat when empty and non-empty DataFrames or Series
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are concatenated (GH18178 GH18187)
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+ Bug in DataFrame.filter(...) when unicode is passed as a
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condition in Python 2 (GH13101)
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+ Bug when merging empty DataFrames when np.seterr(divide='raise')
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is set (GH17776)
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* Numeric
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+ Bug in pd.Series.rolling.skew() and rolling.kurt() with all
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equal values has floating issue (GH18044)
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+ Bug in TimedeltaIndex subtraction could incorrectly overflow
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when NaT is present (GH17791)
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+ Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex
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could fail to overflow (GH18020)
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* Categorical
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+ Bug in DataFrame.astype() where casting to ‘category’ on an
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empty DataFrame causes a segmentation fault (GH18004)
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+ Error messages in the testing module have been improved when
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items have different CategoricalDtype (GH18069)
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+ CategoricalIndex can now correctly take a
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pd.api.types.CategoricalDtype as its dtype (GH18116)
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+ Bug in Categorical.unique() returning read-only codes array when
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all categories were NaN (GH18051)
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+ Bug in DataFrame.groupby(axis=1) with a CategoricalIndex
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(GH18432)
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* String
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+ Series.str.split() will now propogate NaN values across all
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expanded columns instead of None (GH18450)
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
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Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
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@ -18,7 +18,7 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-pandas-doc
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Name: python-pandas-doc
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Version: 0.21.0
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Version: 0.21.1
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Release: 0
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Release: 0
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Summary: Documentation for python-pandas
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Summary: Documentation for python-pandas
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License: BSD-3-Clause
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License: BSD-3-Clause
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@ -1,3 +1,131 @@
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-------------------------------------------------------------------
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Sat Dec 16 23:04:54 UTC 2017 - arun@gmx.de
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- update to version 0.21.1:
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* Highlights include:
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+ Temporarily restore matplotlib datetime plotting
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|
functionality. This should resolve issues for users who
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|
implicitly relied on pandas to plot datetimes with
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|
matplotlib. See here.
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|
+ Improvements to the Parquet IO functions introduced in
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|
0.21.0. See here.
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||||||
|
* Improvements to the Parquet IO functionality
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|
+ DataFrame.to_parquet() will now write non-default indexes when
|
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|
the underlying engine supports it. The indexes will be preserved
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|
when reading back in with read_parquet() (GH18581).
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|
+ read_parquet() now allows to specify the columns to read from a
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|
parquet file (GH18154)
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|
+ read_parquet() now allows to specify kwargs which are passed to
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|
the respective engine (GH18216)
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* Other Enhancements
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+ Timestamp.timestamp() is now available in Python 2.7. (GH17329)
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+ Grouper and TimeGrouper now have a friendly repr output
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(GH18203).
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* Deprecations
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+ pandas.tseries.register has been renamed to
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pandas.plotting.register_matplotlib_converters`() (GH18301)
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* Performance Improvements
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+ Improved performance of plotting large series/dataframes
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(GH18236).
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* Conversion
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+ Bug in TimedeltaIndex subtraction could incorrectly overflow
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when NaT is present (GH17791)
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|
+ Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex
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|
could fail to overflow (GH18020)
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+ Bug in IntervalIndex.copy() when copying and IntervalIndex with
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non-default closed (GH18339)
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+ Bug in DataFrame.to_dict() where columns of datetime that are
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|
tz-aware were not converted to required arrays when used with
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orient='records', raising"TypeError` (GH18372)
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+ Bug in DateTimeIndex and date_range() where mismatching tz-aware
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start and end timezones would not raise an err if end.tzinfo is
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None (GH18431)
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+ Bug in Series.fillna() which raised when passed a long integer
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|
on Python 2 (GH18159).
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* Indexing
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+ Bug in a boolean comparison of a datetime.datetime and a
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datetime64[ns] dtype Series (GH17965)
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+ Bug where a MultiIndex with more than a million records was not
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raising AttributeError when trying to access a missing attribute
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(GH18165)
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+ Bug in IntervalIndex constructor when a list of intervals is
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passed with non-default closed (GH18334)
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+ Bug in Index.putmask when an invalid mask passed (GH18368)
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+ Bug in masked assignment of a timedelta64[ns] dtype Series,
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incorrectly coerced to float (GH18493)
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* I/O
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+ Bug in class:~pandas.io.stata.StataReader not converting
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date/time columns with display formatting addressed
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(GH17990). Previously columns with display formatting were
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normally left as ordinal numbers and not converted to datetime
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|
objects.
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+ Bug in read_csv() when reading a compressed UTF-16 encoded file
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|
(GH18071)
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+ Bug in read_csv() for handling null values in index columns when
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|
specifying na_filter=False (GH5239)
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+ Bug in read_csv() when reading numeric category fields with high
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cardinality (GH18186)
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+ Bug in DataFrame.to_csv() when the table had MultiIndex columns,
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and a list of strings was passed in for header (GH5539)
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+ Bug in parsing integer datetime-like columns with specified
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format in read_sql (GH17855).
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+ Bug in DataFrame.to_msgpack() when serializing data of the
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numpy.bool_ datatype (GH18390)
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+ Bug in read_json() not decoding when reading line deliminted
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JSON from S3 (GH17200)
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+ Bug in pandas.io.json.json_normalize() to avoid modification of
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meta (GH18610)
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+ Bug in to_latex() where repeated multi-index values were not
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printed even though a higher level index differed from the
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previous row (GH14484)
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+ Bug when reading NaN-only categorical columns in HDFStore
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|
(GH18413)
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+ Bug in DataFrame.to_latex() with longtable=True where a latex
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|
multicolumn always spanned over three columns (GH17959)
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* Plotting
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+ Bug in DataFrame.plot() and Series.plot() with DatetimeIndex
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where a figure generated by them is not pickleable in Python 3
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(GH18439)
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* Groupby/Resample/Rolling
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+ Bug in DataFrame.resample(...).apply(...) when there is a
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callable that returns different columns (GH15169)
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+ Bug in DataFrame.resample(...) when there is a time change (DST)
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and resampling frequecy is 12h or higher (GH15549)
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+ Bug in pd.DataFrameGroupBy.count() when counting over a
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datetimelike column (GH13393)
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+ Bug in rolling.var where calculation is inaccurate with a
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zero-valued array (GH18430)
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* Reshaping
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+ Error message in pd.merge_asof() for key datatype mismatch now
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|
includes datatype of left and right key (GH18068)
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+ Bug in pd.concat when empty and non-empty DataFrames or Series
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are concatenated (GH18178 GH18187)
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+ Bug in DataFrame.filter(...) when unicode is passed as a
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|
condition in Python 2 (GH13101)
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+ Bug when merging empty DataFrames when np.seterr(divide='raise')
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is set (GH17776)
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* Numeric
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+ Bug in pd.Series.rolling.skew() and rolling.kurt() with all
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equal values has floating issue (GH18044)
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+ Bug in TimedeltaIndex subtraction could incorrectly overflow
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when NaT is present (GH17791)
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+ Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex
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could fail to overflow (GH18020)
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* Categorical
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+ Bug in DataFrame.astype() where casting to ‘category’ on an
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empty DataFrame causes a segmentation fault (GH18004)
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+ Error messages in the testing module have been improved when
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items have different CategoricalDtype (GH18069)
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+ CategoricalIndex can now correctly take a
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pd.api.types.CategoricalDtype as its dtype (GH18116)
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+ Bug in Categorical.unique() returning read-only codes array when
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all categories were NaN (GH18051)
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+ Bug in DataFrame.groupby(axis=1) with a CategoricalIndex
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(GH18432)
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* String
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+ Series.str.split() will now propogate NaN values across all
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expanded columns instead of None (GH18450)
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
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Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
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@ -18,7 +18,7 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-pandas
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Name: python-pandas
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Version: 0.21.0
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Version: 0.21.1
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Release: 0
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Release: 0
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Summary: Make working with "relational" or "labeled" data both easy and intuitive
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Summary: Make working with "relational" or "labeled" data both easy and intuitive
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License: BSD-3-Clause
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License: BSD-3-Clause
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|
|||||||
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Block a user