Accepting request 610084 from devel:languages:python
- Update to 0.23.0: * Round-trippable JSON format with ‘table’ orient. * Instantiation from dicts respects order for Python 3.6+. * Dependent column arguments for assign. * Merging / sorting on a combination of columns and index levels. * Extending Pandas with custom types. * Excluding unobserved categories from groupby. * Changes to make output shape of DataFrame.apply consistent. - Do not bother generating pandas doc if it is already in both html and pdf provided by upstream, just point to the URL OBS-URL: https://build.opensuse.org/request/show/610084 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=10
This commit is contained in:
Dominique Leuenberger
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-------------------------------------------------------------------
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Thu Jan 11 11:19:29 UTC 2018 - tchvatal@suse.com
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- Format with spec-cleaner
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-------------------------------------------------------------------
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Wed Jan 3 22:41:40 UTC 2018 - arun@gmx.de
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- specfile:
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* update copyright year
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- update to version 0.22.0:
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* Pandas 0.22.0 changes the handling of empty and all-NA sums and
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products. The summary is that
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+ The sum of an empty or all-NA Series is now 0
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+ The product of an empty or all-NA Series is now 1
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+ We’ve added a min_count parameter to .sum() and .prod()
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controlling the minimum number of valid values for the result to
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be valid. If fewer than min_count non-NA values are present, the
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result is NA. The default is 0. To return NaN, the 0.21
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behavior, use min_count=1.
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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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|
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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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Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de
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- specfile:
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* updated minimum numpy version to 1.9.0 (see setup.py)
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- update to version 0.21.0:
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* Highlights include:
|
|
||||||
+ Integration with Apache Parquet, including a new top-level
|
|
||||||
read_parquet() function and DataFrame.to_parquet() method, see
|
|
||||||
here.
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+ New user-facing pandas.api.types.CategoricalDtype for specifying
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categoricals independent of the data, see here.
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+ The behavior of sum and prod on all-NaN Series/DataFrames is now
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consistent and no longer depends on whether bottleneck is
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installed, see here.
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+ Compatibility fixes for pypy, see here.
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+ Additions to the drop, reindex and rename API to make them more
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consistent, see here.
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+ Addition of the new methods DataFrame.infer_objects (see here)
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and GroupBy.pipe (see here).
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+ Indexing with a list of labels, where one or more of the labels
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is missing, is deprecated and will raise a KeyError in a future
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version, see here.
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* full list at http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
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-------------------------------------------------------------------
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Sat Sep 23 21:12:48 UTC 2017 - arun@gmx.de
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- update to version 0.20.3:
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* bug fix release, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-20-3-july-7-2017
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for complete changelog
|
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|
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- changes from version 0.20.2:
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* bug fix release, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-20-2-june-4-2017
|
|
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for complete changelog
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-------------------------------------------------------------------
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Tue May 30 17:08:33 UTC 2017 - toddrme2178@gmail.com
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- Fix documentation BuildRequires.
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-------------------------------------------------------------------
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Thu May 18 01:07:08 UTC 2017 - toddrme2178@gmail.com
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- Update to version 0.20.1
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Highlights include:
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* New ``.agg()`` API for Series/DataFrame similar to the
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groupby-rolling-resample API's
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* Integration with the ``feather-format``, including a new
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top-level ``pd.read_feather()`` and ``DataFrame.to_feather()``
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method
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* The ``.ix`` indexer has been deprecated
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* ``Panel`` has been deprecated
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* Addition of an ``IntervalIndex`` and ``Interval`` scalar type
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* Improved user API when grouping by index levels in ``.groupby()``
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* Improved support for ``UInt64`` dtypes
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* A new orient for JSON serialization, ``orient='table'``, that
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uses the Table Schema spec and that gives the possibility for
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a more interactive repr in the Jupyter Notebook
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* Experimental support for exporting styled DataFrames
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(``DataFrame.style``) to Excel
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* Window binary corr/cov operations now return a MultiIndexed
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``DataFrame`` rather than a ``Panel``, as ``Panel`` is now
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deprecated
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* Support for S3 handling now uses ``s3fs``
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* Google BigQuery support now uses the ``pandas-gbq`` library
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-------------------------------------------------------------------
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Tue Apr 25 18:39:03 UTC 2017 - toddrme2178@gmail.com
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- Implement single-spec version.
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-------------------------------------------------------------------
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Thu Mar 30 15:00:41 UTC 2017 - toddrme2178@gmail.com
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- update to version 0.19.2:
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* Enhancements
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The pd.merge_asof(), added in 0.19.0, gained some improvements:
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+ pd.merge_asof() gained left_index/right_index and
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left_by/right_by arguments (GH14253)
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+ pd.merge_asof() can take multiple columns in by parameter and
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has specialized dtypes for better performace (GH13936)
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* Performance Improvements
|
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+ Performance regression with PeriodIndex (GH14822)
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+ Performance regression in indexing with getitem (GH14930)
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+ Improved performance of .replace() (GH12745)
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+ Improved performance Series creation with a datetime index and
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dictionary data (GH14894)
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* Bug Fixes
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+ Compat with python 3.6 for pickling of some offsets (GH14685)
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+ Compat with python 3.6 for some indexing exception types
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(GH14684, GH14689)
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+ Compat with python 3.6 for deprecation warnings in the test
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suite (GH14681)
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+ Compat with python 3.6 for Timestamp pickles (GH14689)
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+ Compat with dateutil==2.6.0; segfault reported in the testing
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suite (GH14621)
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+ Allow nanoseconds in Timestamp.replace as a kwarg (GH14621)
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+ Bug in pd.read_csv in which aliasing was being done for
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na_values when passed in as a dictionary (GH14203)
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+ Bug in pd.read_csv in which column indices for a dict-like
|
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na_values were not being respected (GH14203)
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+ Bug in pd.read_csv where reading files fails, if the number of
|
|
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headers is equal to the number of lines in the file (GH14515)
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+ Bug in pd.read_csv for the Python engine in which an unhelpful
|
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error message was being raised when multi-char delimiters were
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not being respected with quotes (GH14582)
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+ Fix bugs (GH14734, GH13654) in pd.read_sas and
|
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pandas.io.sas.sas7bdat.SAS7BDATReader that caused problems when
|
|
||||||
reading a SAS file incrementally.
|
|
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+ Bug in pd.read_csv for the Python engine in which an unhelpful
|
|
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error message was being raised when skipfooter was not being
|
|
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respected by Python’s CSV library (GH13879)
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|
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+ Bug in .fillna() in which timezone aware datetime64 values were
|
|
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incorrectly rounded (GH14872)
|
|
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+ Bug in .groupby(..., sort=True) of a non-lexsorted MultiIndex
|
|
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when grouping with multiple levels (GH14776)
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+ Bug in pd.cut with negative values and a single bin (GH14652)
|
|
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+ Bug in pd.to_numeric where a 0 was not unsigned on a
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downcast='unsigned' argument (GH14401)
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+ Bug in plotting regular and irregular timeseries using shared
|
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axes (sharex=True or ax.twinx()) (GH13341, GH14322).
|
|
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+ Bug in not propogating exceptions in parsing invalid datetimes,
|
|
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noted in python 3.6 (GH14561)
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+ Bug in resampling a DatetimeIndex in local TZ, covering a DST
|
|
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change, which would raise AmbiguousTimeError (GH14682)
|
|
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+ Bug in indexing that transformed RecursionError into KeyError or
|
|
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IndexingError (GH14554)
|
|
||||||
+ Bug in HDFStore when writing a MultiIndex when using
|
|
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data_columns=True (GH14435)
|
|
||||||
+ Bug in HDFStore.append() when writing a Series and passing a
|
|
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min_itemsize argument containing a value for the index (GH11412)
|
|
||||||
+ Bug when writing to a HDFStore in table format with a
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|
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min_itemsize value for the index and without asking to append
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|
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(GH10381)
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|
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+ Bug in Series.groupby.nunique() raising an IndexError for an
|
|
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empty Series (GH12553)
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|
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+ Bug in DataFrame.nlargest and DataFrame.nsmallest when the index
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|
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had duplicate values (GH13412)
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|
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+ Bug in clipboard functions on linux with python2 with unicode
|
|
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and separators (GH13747)
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|
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+ Bug in clipboard functions on Windows 10 and python 3 (GH14362,
|
|
||||||
GH12807)
|
|
||||||
+ Bug in .to_clipboard() and Excel compat (GH12529)
|
|
||||||
+ Bug in DataFrame.combine_first() for integer columns (GH14687).
|
|
||||||
+ Bug in pd.read_csv() in which the dtype parameter was not being
|
|
||||||
respected for empty data (GH14712)
|
|
||||||
+ Bug in pd.read_csv() in which the nrows parameter was not being
|
|
||||||
respected for large input when using the C engine for parsing
|
|
||||||
(GH7626)
|
|
||||||
+ Bug in pd.merge_asof() could not handle timezone-aware
|
|
||||||
DatetimeIndex when a tolerance was specified (GH14844)
|
|
||||||
+ Explicit check in to_stata and StataWriter for out-of-range
|
|
||||||
values when writing doubles (GH14618)
|
|
||||||
+ Bug in .plot(kind='kde') which did not drop missing values to
|
|
||||||
generate the KDE Plot, instead generating an empty
|
|
||||||
plot. (GH14821)
|
|
||||||
+ Bug in unstack() if called with a list of column(s) as an
|
|
||||||
argument, regardless of the dtypes of all columns, they get
|
|
||||||
coerced to object (GH11847)
|
|
||||||
- update to version 0.19.1:
|
|
||||||
* Performance Improvements
|
|
||||||
+ Fixed performance regression in factorization of Period data
|
|
||||||
(GH14338)
|
|
||||||
+ Fixed performance regression in Series.asof(where) when where is
|
|
||||||
a scalar (GH14461)
|
|
||||||
+ Improved performance in DataFrame.asof(where) when where is a
|
|
||||||
scalar (GH14461)
|
|
||||||
+ Improved performance in .to_json() when lines=True (GH14408)
|
|
||||||
+ Improved performance in certain types of loc indexing with a
|
|
||||||
MultiIndex (GH14551).
|
|
||||||
* Bug Fixes
|
|
||||||
+ Source installs from PyPI will now again work without cython
|
|
||||||
installed, as in previous versions (GH14204)
|
|
||||||
+ Compat with Cython 0.25 for building (GH14496)
|
|
||||||
+ Fixed regression where user-provided file handles were closed in
|
|
||||||
read_csv (c engine) (GH14418).
|
|
||||||
+ Fixed regression in DataFrame.quantile when missing values where
|
|
||||||
present in some columns (GH14357).
|
|
||||||
+ Fixed regression in Index.difference where the freq of a
|
|
||||||
DatetimeIndex was incorrectly set (GH14323)
|
|
||||||
+ Added back pandas.core.common.array_equivalent with a
|
|
||||||
deprecation warning (GH14555).
|
|
||||||
+ Bug in pd.read_csv for the C engine in which quotation marks
|
|
||||||
were improperly parsed in skipped rows (GH14459)
|
|
||||||
+ Bug in pd.read_csv for Python 2.x in which Unicode quote
|
|
||||||
characters were no longer being respected (GH14477)
|
|
||||||
+ Fixed regression in Index.append when categorical indices were
|
|
||||||
appended (GH14545).
|
|
||||||
+ Fixed regression in pd.DataFrame where constructor fails when
|
|
||||||
given dict with None value (GH14381)
|
|
||||||
+ Fixed regression in DatetimeIndex._maybe_cast_slice_bound when
|
|
||||||
index is empty (GH14354).
|
|
||||||
+ Bug in localizing an ambiguous timezone when a boolean is passed
|
|
||||||
(GH14402)
|
|
||||||
+ Bug in TimedeltaIndex addition with a Datetime-like object where
|
|
||||||
addition overflow in the negative direction was not being caught
|
|
||||||
(GH14068, GH14453)
|
|
||||||
+ Bug in string indexing against data with object Index may raise
|
|
||||||
AttributeError (GH14424)
|
|
||||||
+ Corrrecly raise ValueError on empty input to pd.eval() and
|
|
||||||
df.query() (GH13139)
|
|
||||||
+ Bug in RangeIndex.intersection when result is a empty set
|
|
||||||
(GH14364).
|
|
||||||
+ Bug in groupby-transform broadcasting that could cause incorrect
|
|
||||||
dtype coercion (GH14457)
|
|
||||||
+ Bug in Series.__setitem__ which allowed mutating read-only
|
|
||||||
arrays (GH14359).
|
|
||||||
+ Bug in DataFrame.insert where multiple calls with duplicate
|
|
||||||
columns can fail (GH14291)
|
|
||||||
+ pd.merge() will raise ValueError with non-boolean parameters in
|
|
||||||
passed boolean type arguments (GH14434)
|
|
||||||
+ Bug in Timestamp where dates very near the minimum (1677-09)
|
|
||||||
could underflow on creation (GH14415)
|
|
||||||
+ Bug in pd.concat where names of the keys were not propagated to
|
|
||||||
the resulting MultiIndex (GH14252)
|
|
||||||
+ Bug in pd.concat where axis cannot take string parameters 'rows'
|
|
||||||
or 'columns' (GH14369)
|
|
||||||
+ Bug in pd.concat with dataframes heterogeneous in length and
|
|
||||||
tuple keys (GH14438)
|
|
||||||
+ Bug in MultiIndex.set_levels where illegal level values were
|
|
||||||
still set after raising an error (GH13754)
|
|
||||||
+ Bug in DataFrame.to_json where lines=True and a value contained
|
|
||||||
a } character (GH14391)
|
|
||||||
+ Bug in df.groupby causing an AttributeError when grouping a
|
|
||||||
single index frame by a column and the index level
|
|
||||||
(:issue`14327`)
|
|
||||||
+ Bug in df.groupby where TypeError raised when
|
|
||||||
pd.Grouper(key=...) is passed in a list (GH14334)
|
|
||||||
+ Bug in pd.pivot_table may raise TypeError or ValueError when
|
|
||||||
index or columns is not scalar and values is not specified
|
|
||||||
(GH14380)
|
|
||||||
|
|
||||||
-------------------------------------------------------------------
|
|
||||||
Mon Mar 27 19:12:32 UTC 2017 - toddrme2178@gmail.com
|
|
||||||
|
|
||||||
- Fix documentation building
|
|
||||||
|
|
||||||
-------------------------------------------------------------------
|
|
||||||
Sun Oct 23 01:32:23 UTC 2016 - toddrme2178@gmail.com
|
|
||||||
|
|
||||||
- update to version 0.19.0:
|
|
||||||
(long changelog, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-19-0-october-2-2016)
|
|
||||||
* Highlights include:
|
|
||||||
+ merge_asof() for asof-style time-series joining
|
|
||||||
+ .rolling() is now time-series aware
|
|
||||||
+ read_csv() now supports parsing Categorical data
|
|
||||||
+ A function union_categorical() has been added for combining
|
|
||||||
categoricals
|
|
||||||
+ PeriodIndex now has its own period dtype, and changed to be more
|
|
||||||
consistent with other Index classes
|
|
||||||
+ Sparse data structures gained enhanced support of int and bool
|
|
||||||
dtypes
|
|
||||||
+ Comparison operations with Series no longer ignores the index,
|
|
||||||
see here for an overview of the API changes.
|
|
||||||
+ Introduction of a pandas development API for utility functions
|
|
||||||
+ Deprecation of Panel4D and PanelND. We recommend to represent
|
|
||||||
these types of n-dimensional data with the xarray package.
|
|
||||||
+ Removal of the previously deprecated modules pandas.io.data,
|
|
||||||
pandas.io.wb, pandas.tools.rplot.
|
|
||||||
- specfile:
|
|
||||||
* require python3-Cython
|
|
||||||
* Split documentation into own subpackage to speed up build.
|
|
||||||
* Remove buildrequires for optional dependencies to speed up build.
|
|
||||||
- Remove unneeded patches:
|
|
||||||
* 0001_disable_experimental_msgpack_big_endian.patch ^
|
|
||||||
* 0001_respect_byteorder_in_statareader.patch
|
|
||||||
|
|
||||||
@ -1,68 +0,0 @@
|
|||||||
#
|
|
||||||
# spec file for package python-pandas-doc
|
|
||||||
#
|
|
||||||
# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
|
|
||||||
#
|
|
||||||
# All modifications and additions to the file contributed by third parties
|
|
||||||
# remain the property of their copyright owners, unless otherwise agreed
|
|
||||||
# upon. The license for this file, and modifications and additions to the
|
|
||||||
# file, is the same license as for the pristine package itself (unless the
|
|
||||||
# license for the pristine package is not an Open Source License, in which
|
|
||||||
# case the license is the MIT License). An "Open Source License" is a
|
|
||||||
# license that conforms to the Open Source Definition (Version 1.9)
|
|
||||||
# published by the Open Source Initiative.
|
|
||||||
|
|
||||||
# Please submit bugfixes or comments via http://bugs.opensuse.org/
|
|
||||||
#
|
|
||||||
|
|
||||||
|
|
||||||
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
|
|
||||||
Name: python-pandas-doc
|
|
||||||
Version: 0.22.0
|
|
||||||
Release: 0
|
|
||||||
Summary: Documentation for python-pandas
|
|
||||||
License: BSD-3-Clause
|
|
||||||
Group: Documentation/HTML
|
|
||||||
Url: http://pandas.pydata.org/
|
|
||||||
Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
|
|
||||||
BuildRequires: %{python_module pandas = %{version}}
|
|
||||||
BuildRequires: gcc-c++
|
|
||||||
BuildRequires: python-rpm-macros
|
|
||||||
BuildRequires: python3-Sphinx
|
|
||||||
BuildRequires: python3-devel
|
|
||||||
BuildRequires: python3-jupyter_client
|
|
||||||
BuildRequires: python3-jupyter_ipykernel
|
|
||||||
BuildRequires: python3-jupyter_nbconvert
|
|
||||||
BuildRequires: python3-jupyter_nbformat
|
|
||||||
BuildRequires: python3-jupyter_nbsphinx
|
|
||||||
BuildRequires: python3-matplotlib
|
|
||||||
BuildRequires: python3-numpy-devel >= 1.7.1
|
|
||||||
BuildRequires: python3-python-dateutil >= 1.5
|
|
||||||
BuildRequires: python3-pytz
|
|
||||||
BuildRequires: python3-scipy
|
|
||||||
BuildRequires: python3-setuptools
|
|
||||||
Provides: %{python_module pandas-doc = %{version}}
|
|
||||||
BuildArch: noarch
|
|
||||||
|
|
||||||
%description
|
|
||||||
Documentation, help files, and examples for python3-pandas.
|
|
||||||
|
|
||||||
%prep
|
|
||||||
%setup -q -n pandas-%{version}
|
|
||||||
|
|
||||||
%build
|
|
||||||
python3 setup.py build_ext --inplace
|
|
||||||
|
|
||||||
pushd doc
|
|
||||||
python3 make.py html
|
|
||||||
popd
|
|
||||||
|
|
||||||
%install
|
|
||||||
mkdir -p %{buildroot}%{_docdir}/python-pandas
|
|
||||||
cp -r doc/build/html %{buildroot}%{_docdir}/python-pandas/
|
|
||||||
|
|
||||||
%files
|
|
||||||
%doc LICENSE
|
|
||||||
%{_docdir}/python-pandas/
|
|
||||||
|
|
||||||
%changelog
|
|
||||||
@ -1,3 +1,21 @@
|
|||||||
|
-------------------------------------------------------------------
|
||||||
|
Thu May 17 12:28:44 UTC 2018 - tchvatal@suse.com
|
||||||
|
|
||||||
|
- Update to 0.23.0:
|
||||||
|
* Round-trippable JSON format with ‘table’ orient.
|
||||||
|
* Instantiation from dicts respects order for Python 3.6+.
|
||||||
|
* Dependent column arguments for assign.
|
||||||
|
* Merging / sorting on a combination of columns and index levels.
|
||||||
|
* Extending Pandas with custom types.
|
||||||
|
* Excluding unobserved categories from groupby.
|
||||||
|
* Changes to make output shape of DataFrame.apply consistent.
|
||||||
|
|
||||||
|
-------------------------------------------------------------------
|
||||||
|
Thu May 17 12:06:17 UTC 2018 - tchvatal@suse.com
|
||||||
|
|
||||||
|
- Do not bother generating pandas doc if it is already in both
|
||||||
|
html and pdf provided by upstream, just point to the URL
|
||||||
|
|
||||||
-------------------------------------------------------------------
|
-------------------------------------------------------------------
|
||||||
Thu Jan 11 11:18:48 UTC 2018 - tchvatal@suse.com
|
Thu Jan 11 11:18:48 UTC 2018 - tchvatal@suse.com
|
||||||
|
|
||||||
|
|||||||
@ -17,25 +17,39 @@
|
|||||||
|
|
||||||
|
|
||||||
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
|
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
|
||||||
|
%define oldpython python
|
||||||
Name: python-pandas
|
Name: python-pandas
|
||||||
Version: 0.22.0
|
Version: 0.23.0
|
||||||
Release: 0
|
Release: 0
|
||||||
Summary: Make working with "relational" or "labeled" data both easy and intuitive
|
Summary: Make working with "relational" or "labeled" data both easy and intuitive
|
||||||
License: BSD-3-Clause
|
License: BSD-3-Clause
|
||||||
Group: Development/Libraries/Python
|
Group: Development/Libraries/Python
|
||||||
Url: http://pandas.pydata.org/
|
URL: http://pandas.pydata.org/
|
||||||
Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
|
Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
|
||||||
|
BuildRequires: %{python_module Cython}
|
||||||
|
BuildRequires: %{python_module SQLAlchemy}
|
||||||
|
BuildRequires: %{python_module XlsxWriter}
|
||||||
|
BuildRequires: %{python_module beautifulsoup4}
|
||||||
BuildRequires: %{python_module devel}
|
BuildRequires: %{python_module devel}
|
||||||
|
BuildRequires: %{python_module lxml}
|
||||||
|
BuildRequires: %{python_module nose}
|
||||||
BuildRequires: %{python_module numpy-devel >= 1.9.0}
|
BuildRequires: %{python_module numpy-devel >= 1.9.0}
|
||||||
|
BuildRequires: %{python_module pytest}
|
||||||
BuildRequires: %{python_module python-dateutil >= 1.5}
|
BuildRequires: %{python_module python-dateutil >= 1.5}
|
||||||
|
BuildRequires: %{python_module python-dateutil}
|
||||||
BuildRequires: %{python_module pytz}
|
BuildRequires: %{python_module pytz}
|
||||||
BuildRequires: %{python_module setuptools}
|
BuildRequires: %{python_module setuptools}
|
||||||
|
BuildRequires: %{python_module six}
|
||||||
|
BuildRequires: %{python_module xlrd}
|
||||||
BuildRequires: fdupes
|
BuildRequires: fdupes
|
||||||
BuildRequires: gcc-c++
|
BuildRequires: gcc-c++
|
||||||
BuildRequires: python-rpm-macros
|
BuildRequires: python-rpm-macros
|
||||||
|
Requires: python-Cython
|
||||||
|
Requires: python-lxml
|
||||||
Requires: python-numpy >= 1.9.0
|
Requires: python-numpy >= 1.9.0
|
||||||
Requires: python-python-dateutil >= 1.5
|
Requires: python-python-dateutil >= 1.5
|
||||||
Requires: python-pytz
|
Requires: python-pytz
|
||||||
|
Requires: python-six
|
||||||
Recommends: python-Bottleneck
|
Recommends: python-Bottleneck
|
||||||
Recommends: python-Jinja2
|
Recommends: python-Jinja2
|
||||||
Recommends: python-SQLAlchemy >= 0.8.1
|
Recommends: python-SQLAlchemy >= 0.8.1
|
||||||
@ -45,7 +59,6 @@ Recommends: python-blosc
|
|||||||
Recommends: python-boto
|
Recommends: python-boto
|
||||||
Recommends: python-google-api-python-client
|
Recommends: python-google-api-python-client
|
||||||
Recommends: python-html5lib
|
Recommends: python-html5lib
|
||||||
Recommends: python-lxml
|
|
||||||
Recommends: python-matplotlib
|
Recommends: python-matplotlib
|
||||||
Recommends: python-numexpr >= 2.1
|
Recommends: python-numexpr >= 2.1
|
||||||
Recommends: python-oauth2client
|
Recommends: python-oauth2client
|
||||||
@ -59,8 +72,10 @@ Recommends: python-xarray >= 0.7.0
|
|||||||
Recommends: python-xlrd
|
Recommends: python-xlrd
|
||||||
Recommends: python-xlwt
|
Recommends: python-xlwt
|
||||||
Recommends: xclip
|
Recommends: xclip
|
||||||
|
Obsoletes: python-pandas-doc
|
||||||
%ifpython2
|
%ifpython2
|
||||||
Recommends: python-backports.lzma
|
Recommends: python-backports.lzma
|
||||||
|
Obsoletes: %{oldpython}-pandas-doc
|
||||||
%endif
|
%endif
|
||||||
%python_subpackages
|
%python_subpackages
|
||||||
|
|
||||||
@ -72,6 +87,8 @@ doing practical, real world data analysis in Python. Additionally, it has
|
|||||||
the broader goal of becoming the most powerful and flexible open source data
|
the broader goal of becoming the most powerful and flexible open source data
|
||||||
analysis / manipulation tool available in any language.
|
analysis / manipulation tool available in any language.
|
||||||
|
|
||||||
|
http://pandas.pydata.org/pandas-docs/stable/
|
||||||
|
|
||||||
%prep
|
%prep
|
||||||
%setup -q -n pandas-%{version}
|
%setup -q -n pandas-%{version}
|
||||||
|
|
||||||
@ -85,8 +102,13 @@ export CFLAGS="%{optflags} -fno-strict-aliasing"
|
|||||||
|
|
||||||
%python_expand rm -r %{buildroot}%{$python_sitearch}/pandas/tests
|
%python_expand rm -r %{buildroot}%{$python_sitearch}/pandas/tests
|
||||||
|
|
||||||
|
# Needs X and various other fun to work
|
||||||
|
#%check
|
||||||
|
#%%python_expand PYTHONPATH=%{buildroot}%{$python_sitearch} py.test-%{$python_version} pandas/tests
|
||||||
|
|
||||||
%files %{python_files}
|
%files %{python_files}
|
||||||
%doc LICENSE doc/README.rst RELEASE.md
|
%license LICENSE
|
||||||
|
%doc doc/README.rst RELEASE.md
|
||||||
%{python_sitearch}/pandas/
|
%{python_sitearch}/pandas/
|
||||||
%{python_sitearch}/pandas-%{version}-py*.egg-info
|
%{python_sitearch}/pandas-%{version}-py*.egg-info
|
||||||
|
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user