2018-01-16 08:37:21 +00:00
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Thu Jan 11 11:18:48 UTC 2018 - tchvatal@suse.com
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- Drop commented code to allow us py3 only build
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2018-01-07 16:23:01 +00:00
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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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2017-12-19 09:58:17 +00:00
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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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2017-11-10 13:56:41 +00:00
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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:
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+ Integration with Apache Parquet, including a new top-level
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read_parquet() function and DataFrame.to_parquet() method, see
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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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2017-10-09 17:41:03 +00:00
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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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- 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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2017-05-31 10:22:08 +00:00
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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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2017-05-08 17:04:25 +00:00
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-------------------------------------------------------------------
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Mon May 8 03:37:27 UTC 2017 - toddrme2178@gmail.com
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- Fix dateutil dependency
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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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2017-04-12 15:34:48 +00:00
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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
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reading a SAS file incrementally.
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+ Bug in pd.read_csv for the Python engine in which an unhelpful
|
|
|
|
|
|
error message was being raised when skipfooter was not being
|
|
|
|
|
|
respected by Python’s CSV library (GH13879)
|
|
|
|
|
|
+ Bug in .fillna() in which timezone aware datetime64 values were
|
|
|
|
|
|
incorrectly rounded (GH14872)
|
|
|
|
|
|
+ Bug in .groupby(..., sort=True) of a non-lexsorted MultiIndex
|
|
|
|
|
|
when grouping with multiple levels (GH14776)
|
|
|
|
|
|
+ Bug in pd.cut with negative values and a single bin (GH14652)
|
|
|
|
|
|
+ Bug in pd.to_numeric where a 0 was not unsigned on a
|
|
|
|
|
|
downcast='unsigned' argument (GH14401)
|
|
|
|
|
|
+ Bug in plotting regular and irregular timeseries using shared
|
|
|
|
|
|
axes (sharex=True or ax.twinx()) (GH13341, GH14322).
|
|
|
|
|
|
+ Bug in not propogating exceptions in parsing invalid datetimes,
|
|
|
|
|
|
noted in python 3.6 (GH14561)
|
|
|
|
|
|
+ Bug in resampling a DatetimeIndex in local TZ, covering a DST
|
|
|
|
|
|
change, which would raise AmbiguousTimeError (GH14682)
|
|
|
|
|
|
+ Bug in indexing that transformed RecursionError into KeyError or
|
|
|
|
|
|
IndexingError (GH14554)
|
|
|
|
|
|
+ Bug in HDFStore when writing a MultiIndex when using
|
|
|
|
|
|
data_columns=True (GH14435)
|
|
|
|
|
|
+ Bug in HDFStore.append() when writing a Series and passing a
|
|
|
|
|
|
min_itemsize argument containing a value for the index (GH11412)
|
|
|
|
|
|
+ Bug when writing to a HDFStore in table format with a
|
|
|
|
|
|
min_itemsize value for the index and without asking to append
|
|
|
|
|
|
(GH10381)
|
|
|
|
|
|
+ Bug in Series.groupby.nunique() raising an IndexError for an
|
|
|
|
|
|
empty Series (GH12553)
|
|
|
|
|
|
+ Bug in DataFrame.nlargest and DataFrame.nsmallest when the index
|
|
|
|
|
|
had duplicate values (GH13412)
|
|
|
|
|
|
+ Bug in clipboard functions on linux with python2 with unicode
|
|
|
|
|
|
and separators (GH13747)
|
|
|
|
|
|
+ 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)
|
|
|
|
|
|
|
2017-01-25 22:18:43 +00:00
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jul 12 16:44:48 UTC 2016 - antoine.belvire@laposte.net
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.8.1:
|
|
|
|
|
|
* .groupby(...) has been enhanced to provide convenient syntax
|
|
|
|
|
|
when working with .rolling(..), .expanding(..) and
|
|
|
|
|
|
.resample(..) per group.
|
|
|
|
|
|
* pd.to_datetime() has gained the ability to assemble dates
|
|
|
|
|
|
from a DataFrame.
|
|
|
|
|
|
* Method chaining improvements.
|
|
|
|
|
|
* Custom business hour offset.
|
|
|
|
|
|
* Many bug fixes in the handling of sparse.
|
|
|
|
|
|
* Expanded the Tutorials section with a feature on modern pandas,
|
|
|
|
|
|
courtesy of @TomAugsb (GH13045).
|
|
|
|
|
|
- Changes from 0.8.0:
|
|
|
|
|
|
* Moving and expanding window functions are now methods on Series
|
|
|
|
|
|
and DataFrame, similar to .groupby.
|
|
|
|
|
|
* Adding support for a RangeIndex as a specialized form of the
|
|
|
|
|
|
Int64Index for memory savings.
|
|
|
|
|
|
* API breaking change to the .resample method to make it more
|
|
|
|
|
|
.groupby like.
|
|
|
|
|
|
* Removal of support for positional indexing with floats, which
|
|
|
|
|
|
was deprecated since 0.14.0. This will now raise a TypeError.
|
|
|
|
|
|
* The .to_xarray() function has been added for compatibility with
|
|
|
|
|
|
the xarray package.
|
|
|
|
|
|
* The read_sas function has been enhanced to read sas7bdat files.
|
|
|
|
|
|
* Addition of the .str.extractall() method, and API changes to
|
|
|
|
|
|
the .str.extract() method and .str.cat() method.
|
|
|
|
|
|
* pd.test() top-level nose test runner is available (GH4327).
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Feb 26 13:13:58 UTC 2016 - tbechtold@suse.com
|
|
|
|
|
|
|
|
|
|
|
|
- Require python-python-dateutil. package was renamed
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Feb 9 17:01:02 UTC 2016 - aplanas@suse.com
|
|
|
|
|
|
|
|
|
|
|
|
- Add 0001_respect_byteorder_in_statareader.patch
|
|
|
|
|
|
Fix StataReader in big endian architectures
|
|
|
|
|
|
https://github.com/pydata/pandas/issues/11282
|
|
|
|
|
|
- Add 0001_disable_experimental_msgpack_big_endian.patch
|
|
|
|
|
|
Skip experimental msgpack test in big endian systems
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Wed Feb 3 15:27:31 UTC 2016 - aplanas@suse.com
|
|
|
|
|
|
|
|
|
|
|
|
- Remove non-needed BuildRequires
|
|
|
|
|
|
- Update Requires from documentation
|
|
|
|
|
|
- Update Recommends from documentation
|
|
|
|
|
|
- Add tests in %check section
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Nov 30 09:56:31 UTC 2015 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.17.1:
|
|
|
|
|
|
(for full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-17-1-november-21-2015)
|
|
|
|
|
|
Highlights include:
|
|
|
|
|
|
* Support for Conditional HTML Formatting, see here
|
|
|
|
|
|
* Releasing the GIL on the csv reader & other ops, see here
|
|
|
|
|
|
* Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing
|
|
|
|
|
|
incorrect results on integer values (GH11376)
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Oct 12 09:28:25 UTC 2015 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.17.0:
|
|
|
|
|
|
(for full changelog see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-17-0-october-9-2015)
|
|
|
|
|
|
Highlights:
|
|
|
|
|
|
* Release the Global Interpreter Lock (GIL) on some cython
|
|
|
|
|
|
operations, see here
|
|
|
|
|
|
* Plotting methods are now available as attributes of the .plot
|
|
|
|
|
|
accessor, see here
|
|
|
|
|
|
* The sorting API has been revamped to remove some long-time
|
|
|
|
|
|
inconsistencies, see here
|
|
|
|
|
|
* Support for a datetime64[ns] with timezones as a first-class
|
|
|
|
|
|
dtype, see here
|
|
|
|
|
|
* The default for to_datetime will now be to raise when presented
|
|
|
|
|
|
with unparseable formats, previously this would return the
|
|
|
|
|
|
original input. Also, date parse functions now return consistent
|
|
|
|
|
|
results. See here
|
|
|
|
|
|
* The default for dropna in HDFStore has changed to False, to store
|
|
|
|
|
|
by default all rows even if they are all NaN, see here
|
|
|
|
|
|
* Datetime accessor (dt) now supports Series.dt.strftime to generate
|
|
|
|
|
|
formatted strings for datetime-likes, and Series.dt.total_seconds
|
|
|
|
|
|
to ge nerate each duration of the timedelta in seconds. See here
|
|
|
|
|
|
* Period and PeriodIndex can handle multiplied freq like 3D, which
|
|
|
|
|
|
corresponding to 3 days span. See here
|
|
|
|
|
|
* Development installed versions of pandas will now have PEP440
|
|
|
|
|
|
compliant version strings (GH9518)
|
|
|
|
|
|
* Development support for benchmarking with the Air Speed Velocity
|
|
|
|
|
|
library (GH8361)
|
|
|
|
|
|
* Support for reading SAS xport files, see here
|
|
|
|
|
|
* Documentation comparing SAS to pandas, see here
|
|
|
|
|
|
* Removal of the automatic TimeSeries broadcasting, deprecated since
|
|
|
|
|
|
0.8.0, see here
|
|
|
|
|
|
* Display format with plain text can optionally align with Unicode
|
|
|
|
|
|
East Asian Width, see here
|
|
|
|
|
|
* Compatibility with Python 3.5 (GH11097)
|
|
|
|
|
|
* Compatibility with matplotlib 1.5.0 (GH11111)
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Jun 29 11:06:30 UTC 2015 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.16.2:
|
|
|
|
|
|
(see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-16-2-june-12-2015)
|
|
|
|
|
|
* Highlights
|
|
|
|
|
|
+ A new pipe method
|
|
|
|
|
|
+ Documentation on how to use numba with pandas
|
|
|
|
|
|
* Enhancements
|
|
|
|
|
|
+ Added rsplit to Index/Series StringMethods (GH10303)
|
|
|
|
|
|
+ Removed the hard-coded size limits on the DataFrame HTML
|
|
|
|
|
|
representation in the IPython notebook, and leave this to
|
|
|
|
|
|
IPython itself (only for IPython v3.0 or greater). This
|
|
|
|
|
|
eliminates the duplicate scroll bars that appeared in the
|
|
|
|
|
|
notebook with large frames (GH10231).
|
|
|
|
|
|
|
|
|
|
|
|
Note that the notebook has a toggle output scrolling feature to
|
|
|
|
|
|
limit the display of very large frames (by clicking left of the
|
|
|
|
|
|
output). You can also configure the way DataFrames are displayed
|
|
|
|
|
|
using the pandas options, see here here.
|
|
|
|
|
|
+ axis parameter of DataFrame.quantile now accepts also index and
|
|
|
|
|
|
column. (GH9543)
|
|
|
|
|
|
* API Changes
|
|
|
|
|
|
+ Holiday now raises NotImplementedError if both offset and
|
|
|
|
|
|
observance are used in the constructor instead of returning an
|
|
|
|
|
|
incorrect result (GH10217).
|
|
|
|
|
|
* Performance Improvements
|
|
|
|
|
|
+ Improved Series.resample performance with dtype=datetime64[ns]
|
|
|
|
|
|
(GH7754)
|
|
|
|
|
|
+ Increase performance of str.split when expand=True (GH10081)
|
|
|
|
|
|
* Bug Fixes
|
|
|
|
|
|
+ Bug in Series.hist raises an error when a one row Series was
|
|
|
|
|
|
given (GH10214)
|
|
|
|
|
|
+ Bug where HDFStore.select modifies the passed columns list
|
|
|
|
|
|
(GH7212)
|
|
|
|
|
|
+ Bug in Categorical repr with display.width of None in Python 3
|
|
|
|
|
|
(GH10087)
|
|
|
|
|
|
+ Bug in to_json with certain orients and a CategoricalIndex would
|
|
|
|
|
|
segfault (GH10317)
|
|
|
|
|
|
+ Bug where some of the nan funcs do not have consistent return
|
|
|
|
|
|
dtypes (GH10251)
|
|
|
|
|
|
+ Bug in DataFrame.quantile on checking that a valid axis was
|
|
|
|
|
|
passed (GH9543)
|
|
|
|
|
|
+ Bug in groupby.apply aggregation for Categorical not preserving
|
|
|
|
|
|
categories (GH10138)
|
|
|
|
|
|
+ Bug in to_csv where date_format is ignored if the datetime is
|
|
|
|
|
|
fractional (GH10209)
|
|
|
|
|
|
+ Bug in DataFrame.to_json with mixed data types (GH10289)
|
|
|
|
|
|
+ Bug in cache updating when consolidating (GH10264)
|
|
|
|
|
|
+ Bug in mean() where integer dtypes can overflow (GH10172)
|
|
|
|
|
|
+ Bug where Panel.from_dict does not set dtype when specified
|
|
|
|
|
|
(GH10058)
|
|
|
|
|
|
+ Bug in Index.union raises AttributeError when passing
|
|
|
|
|
|
array-likes. (GH10149)
|
|
|
|
|
|
+ Bug in Timestamp‘s’ microsecond, quarter, dayofyear, week and
|
|
|
|
|
|
daysinmonth properties return np.int type, not built-in
|
|
|
|
|
|
int. (GH10050)
|
|
|
|
|
|
+ Bug in NaT raises AttributeError when accessing to daysinmonth,
|
|
|
|
|
|
dayofweek properties. (GH10096)
|
|
|
|
|
|
+ Bug in Index repr when using the max_seq_items=None setting
|
|
|
|
|
|
(GH10182).
|
|
|
|
|
|
+ Bug in getting timezone data with dateutil on various platforms
|
|
|
|
|
|
( GH9059, GH8639, GH9663, GH10121)
|
|
|
|
|
|
+ Bug in displaying datetimes with mixed frequencies; display ‘ms’
|
|
|
|
|
|
datetimes to the proper precision. (GH10170)
|
|
|
|
|
|
+ Bug in setitem where type promotion is applied to the entire
|
|
|
|
|
|
block (GH10280)
|
|
|
|
|
|
+ Bug in Series arithmetic methods may incorrectly hold names
|
|
|
|
|
|
(GH10068)
|
|
|
|
|
|
+ Bug in GroupBy.get_group when grouping on multiple keys, one of
|
|
|
|
|
|
which is categorical. (GH10132)
|
|
|
|
|
|
+ Bug in DatetimeIndex and TimedeltaIndex names are lost after
|
|
|
|
|
|
timedelta arithmetics ( GH9926)
|
|
|
|
|
|
+ Bug in DataFrame construction from nested dict with datetime64
|
|
|
|
|
|
(GH10160)
|
|
|
|
|
|
+ Bug in Series construction from dict with datetime64 keys
|
|
|
|
|
|
(GH9456)
|
|
|
|
|
|
+ Bug in Series.plot(label="LABEL") not correctly setting the
|
|
|
|
|
|
label (GH10119)
|
|
|
|
|
|
+ Bug in plot not defaulting to matplotlib axes.grid setting
|
|
|
|
|
|
(GH9792)
|
|
|
|
|
|
+ Bug causing strings containing an exponent, but no decimal to be
|
|
|
|
|
|
parsed as int instead of float in engine='python' for the read_csv
|
|
|
|
|
|
parser (GH9565)
|
|
|
|
|
|
+ Bug in Series.align resets name when fill_value is specified
|
|
|
|
|
|
(GH10067)
|
|
|
|
|
|
+ Bug in read_csv causing index name not to be set on an empty
|
|
|
|
|
|
DataFrame (GH10184)
|
|
|
|
|
|
+ Bug in SparseSeries.abs resets name (GH10241)
|
|
|
|
|
|
+ Bug in TimedeltaIndex slicing may reset freq (GH10292)
|
|
|
|
|
|
+ Bug in GroupBy.get_group raises ValueError when group key
|
|
|
|
|
|
contains NaT (GH6992)
|
|
|
|
|
|
+ Bug in SparseSeries constructor ignores input data name
|
|
|
|
|
|
(GH10258)
|
|
|
|
|
|
+ Bug in Categorical.remove_categories causing a ValueError when
|
|
|
|
|
|
removing the NaN category if underlying dtype is floating-point
|
|
|
|
|
|
(GH10156)
|
|
|
|
|
|
+ Bug where infer_freq infers timerule (WOM-5XXX) unsupported by
|
|
|
|
|
|
to_offset (GH9425)
|
|
|
|
|
|
+ Bug in DataFrame.to_hdf() where table format would raise a
|
|
|
|
|
|
seemingly unrelated error for invalid (non-string) column
|
|
|
|
|
|
names. This is now explicitly forbidden. (GH9057)
|
|
|
|
|
|
+ Bug to handle masking empty DataFrame (GH10126).
|
|
|
|
|
|
+ Bug where MySQL interface could not handle numeric table/column
|
|
|
|
|
|
names (GH10255)
|
|
|
|
|
|
+ Bug in read_csv with a date_parser that returned a datetime64
|
|
|
|
|
|
array of other time resolution than [ns] (GH10245)
|
|
|
|
|
|
+ Bug in Panel.apply when the result has ndim=0 (GH10332)
|
|
|
|
|
|
+ Bug in read_hdf where auto_close could not be passed (GH9327).
|
|
|
|
|
|
+ Bug in read_hdf where open stores could not be used (GH10330).
|
|
|
|
|
|
+ Bug in adding empty DataFrame``s, now results in a ``DataFrame
|
|
|
|
|
|
that .equals an empty DataFrame (GH10181).
|
|
|
|
|
|
+ Bug in to_hdf and HDFStore which did not check that complib
|
|
|
|
|
|
choices were valid (GH4582, GH8874).
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue May 19 09:18:50 UTC 2015 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Update to version 0.16.1
|
|
|
|
|
|
* Highlights
|
|
|
|
|
|
- Support for a ``CategoricalIndex``, a category based index
|
|
|
|
|
|
- New section on how-to-contribute to pandas
|
|
|
|
|
|
- Revised "Merge, join, and concatenate" documentation,
|
|
|
|
|
|
including graphical examples to make it easier to understand
|
|
|
|
|
|
each operations
|
|
|
|
|
|
- New method sample for drawing random samples from Series,
|
|
|
|
|
|
DataFrames and Panels.
|
|
|
|
|
|
- The default Index printing has changed to a more uniform
|
|
|
|
|
|
format
|
|
|
|
|
|
- BusinessHour datetime-offset is now supported
|
|
|
|
|
|
* Enhancements
|
|
|
|
|
|
- BusinessHour`offset is now supported, which represents
|
|
|
|
|
|
business hours starting from 09:00 - 17:00 on BusinessDay by
|
|
|
|
|
|
default.
|
|
|
|
|
|
- DataFrame.diff now takes an axis parameter that determines the
|
|
|
|
|
|
direction of differencing
|
|
|
|
|
|
- Allow clip, clip_lower, and clip_upper to accept array-like
|
|
|
|
|
|
arguments as thresholds (This is a regression from 0.11.0).
|
|
|
|
|
|
These methods now have an axis parameter which determines
|
|
|
|
|
|
how the Series or DataFrame will be aligned with the
|
|
|
|
|
|
threshold(s).
|
|
|
|
|
|
- DataFrame.mask() and Series.mask() now support same keywords
|
|
|
|
|
|
as where
|
|
|
|
|
|
- drop function can now accept errors keyword to suppress
|
|
|
|
|
|
ValueError raised when any of label does not exist in the
|
|
|
|
|
|
target data.
|
|
|
|
|
|
- Allow conversion of values with dtype datetime64 or timedelta64
|
|
|
|
|
|
to strings using astype(str)
|
|
|
|
|
|
- get_dummies function now accepts sparse keyword. If set to
|
|
|
|
|
|
True, the return DataFrame is sparse, e.g. SparseDataFrame.
|
|
|
|
|
|
- Period now accepts datetime64 as value input.
|
|
|
|
|
|
- Allow timedelta string conversion when leading zero is
|
|
|
|
|
|
missing from time definition, ie 0:00:00 vs 00:00:00.
|
|
|
|
|
|
- Allow Panel.shift with axis='items'
|
|
|
|
|
|
- Trying to write an excel file now raises NotImplementedError
|
|
|
|
|
|
if the DataFrame has a MultiIndex instead of writing a broken
|
|
|
|
|
|
Excel file.
|
|
|
|
|
|
- Allow Categorical.add_categories to accept Series or np.array.
|
|
|
|
|
|
- Add/delete str/dt/cat accessors dynamically from __dir__.
|
|
|
|
|
|
- Add normalize as a dt accessor method.
|
|
|
|
|
|
- DataFrame and Series now have _constructor_expanddim property
|
|
|
|
|
|
as overridable constructor for one higher dimensionality
|
|
|
|
|
|
data. This should be used only when it is really needed
|
|
|
|
|
|
- pd.lib.infer_dtype now returns 'bytes' in Python 3 where
|
|
|
|
|
|
appropriate.
|
|
|
|
|
|
- We introduce a CategoricalIndex, a new type of index object
|
|
|
|
|
|
that is useful for supporting indexing with duplicates. This
|
|
|
|
|
|
is a container around a Categorical (introduced in v0.15.0)
|
|
|
|
|
|
and allows efficient indexing and storage of an index with a
|
|
|
|
|
|
large number of duplicated elements. Prior to 0.16.1,
|
|
|
|
|
|
setting the index of a DataFrame/Series with a category
|
|
|
|
|
|
dtype would convert this to regular object-based Index.
|
|
|
|
|
|
- Series, DataFrames, and Panels now have a new method:
|
|
|
|
|
|
pandas.DataFrame.sample. The method accepts a specific number
|
|
|
|
|
|
of rows or columns to return, or a fraction of the total
|
|
|
|
|
|
number or rows or columns. It also has options for sampling
|
|
|
|
|
|
with or without replacement, for passing in a column for
|
|
|
|
|
|
weights for non-uniform sampling, and for setting seed values
|
|
|
|
|
|
to facilitate replication.
|
|
|
|
|
|
- The following new methods are accesible via .str accessor to
|
|
|
|
|
|
apply the function to each values.
|
|
|
|
|
|
+ capitalize()
|
|
|
|
|
|
+ swapcase()
|
|
|
|
|
|
+ normalize()
|
|
|
|
|
|
+ partition()
|
|
|
|
|
|
+ rpartition()
|
|
|
|
|
|
+ index()
|
|
|
|
|
|
+ rindex()
|
|
|
|
|
|
+ translate()
|
|
|
|
|
|
- Added StringMethods (.str accessor) to Index
|
|
|
|
|
|
- split now takes expand keyword to specify whether to expand
|
|
|
|
|
|
dimensionality. return_type is deprecated.
|
|
|
|
|
|
* API changes
|
|
|
|
|
|
- When passing in an ax to df.plot( ..., ax=ax), the sharex
|
|
|
|
|
|
kwarg will now default to False.
|
|
|
|
|
|
- Add support for separating years and quarters using dashes,
|
|
|
|
|
|
for example 2014-Q1.
|
|
|
|
|
|
- pandas.DataFrame.assign now inserts new columns in
|
|
|
|
|
|
alphabetical order. Previously the order was arbitrary.
|
|
|
|
|
|
- By default, read_csv and read_table will now try to infer
|
|
|
|
|
|
the compression type based on the file extension. Set
|
|
|
|
|
|
compression=None to restore the previous behavior
|
|
|
|
|
|
(no decompression).
|
|
|
|
|
|
- The string representation of Index and its sub-classes have
|
|
|
|
|
|
now been unified. These will show a single-line display if
|
|
|
|
|
|
there are few values; a wrapped multi-line display for a lot
|
|
|
|
|
|
of values (but less than display.max_seq_items; if lots of
|
|
|
|
|
|
items > display.max_seq_items) will show a truncated display
|
|
|
|
|
|
(the head and tail of the data). The formatting for
|
|
|
|
|
|
MultiIndex is unchanges (a multi-line wrapped display). The
|
|
|
|
|
|
display width responds to the option display.max_seq_items,
|
|
|
|
|
|
which is defaulted to 100.
|
|
|
|
|
|
* Deprecations
|
|
|
|
|
|
- Series.str.split's return_type keyword was removed in favor
|
|
|
|
|
|
of expand
|
|
|
|
|
|
* Performance Improvements
|
|
|
|
|
|
- Improved csv write performance with mixed dtypes, including
|
|
|
|
|
|
datetimes by up to 5x
|
|
|
|
|
|
- Improved csv write performance generally by 2x
|
|
|
|
|
|
- Improved the performance of pd.lib.max_len_string_array
|
|
|
|
|
|
by 5-7x
|
|
|
|
|
|
* Bug Fixes
|
|
|
|
|
|
- Bug where labels did not appear properly in the legend of
|
|
|
|
|
|
DataFrame.plot(), passing label= arguments works, and Series
|
|
|
|
|
|
indices are no longer mutated.
|
|
|
|
|
|
- Bug in json serialization causing a segfault when a frame had
|
|
|
|
|
|
zero length.
|
|
|
|
|
|
- Bug in read_csv where missing trailing delimiters would cause
|
|
|
|
|
|
segfault.
|
|
|
|
|
|
- Bug in retaining index name on appending
|
|
|
|
|
|
- Bug in scatter_matrix draws unexpected axis ticklabels
|
|
|
|
|
|
- Fixed bug in StataWriter resulting in changes to input
|
|
|
|
|
|
DataFrame upon save.
|
|
|
|
|
|
- Bug in transform causing length mismatch when null entries
|
|
|
|
|
|
were present and a fast aggregator was being used
|
|
|
|
|
|
- Bug in equals causing false negatives when block order
|
|
|
|
|
|
differed
|
|
|
|
|
|
- Bug in grouping with multiple pd.Grouper where one is
|
|
|
|
|
|
non-time based
|
|
|
|
|
|
- Bug in read_sql_table error when reading postgres table with
|
|
|
|
|
|
timezone
|
|
|
|
|
|
- Bug in DataFrame slicing may not retain metadata
|
|
|
|
|
|
- Bug where TimdeltaIndex were not properly serialized in fixed
|
|
|
|
|
|
HDFStore
|
|
|
|
|
|
- Bug with TimedeltaIndex constructor ignoring name when given
|
|
|
|
|
|
another TimedeltaIndex as data.
|
|
|
|
|
|
- Bug in DataFrameFormatter._get_formatted_index with not
|
|
|
|
|
|
applying max_colwidth to the DataFrame index
|
|
|
|
|
|
- Bug in .loc with a read-only ndarray data source
|
|
|
|
|
|
- Bug in groupby.apply() that would raise if a passed user
|
|
|
|
|
|
defined function either returned only None (for all input).
|
|
|
|
|
|
- Always use temporary files in pytables tests
|
|
|
|
|
|
- Bug in plotting continuously using secondary_y may not show
|
|
|
|
|
|
legend properly.
|
|
|
|
|
|
- Bug in DataFrame.plot(kind="hist") results in TypeError when
|
|
|
|
|
|
DataFrame contains non-numeric columns
|
|
|
|
|
|
- Bug where repeated plotting of DataFrame with a DatetimeIndex
|
|
|
|
|
|
may raise TypeError
|
|
|
|
|
|
- Bug in setup.py that would allow an incompat cython version
|
|
|
|
|
|
to build
|
|
|
|
|
|
- Bug in plotting secondary_y incorrectly attaches right_ax
|
|
|
|
|
|
property to secondary axes specifying itself recursively.
|
|
|
|
|
|
- Bug in Series.quantile on empty Series of type Datetime or
|
|
|
|
|
|
Timedelta
|
|
|
|
|
|
- Bug in where causing incorrect results when upcasting was
|
|
|
|
|
|
required
|
|
|
|
|
|
- Bug in FloatArrayFormatter where decision boundary for
|
|
|
|
|
|
displaying "small" floats in decimal format is off by one
|
|
|
|
|
|
order of magnitude for a given display.precision
|
|
|
|
|
|
- Fixed bug where DataFrame.plot() raised an error when both
|
|
|
|
|
|
color and style keywords were passed and there was no color
|
|
|
|
|
|
symbol in the style strings
|
|
|
|
|
|
- Not showing a DeprecationWarning on combining list-likes with
|
|
|
|
|
|
an Index
|
|
|
|
|
|
- Bug in read_csv and read_table when using skip_rows parameter
|
|
|
|
|
|
if blank lines are present.
|
|
|
|
|
|
- Bug in read_csv() interprets index_col=True as 1
|
|
|
|
|
|
- Bug in index equality comparisons using == failing on
|
|
|
|
|
|
Index/MultiIndex type incompatibility
|
|
|
|
|
|
- Bug in which SparseDataFrame could not take nan as a column
|
|
|
|
|
|
name
|
|
|
|
|
|
- Bug in to_msgpack and read_msgpack zlib and blosc compression
|
|
|
|
|
|
support
|
|
|
|
|
|
- Bug GroupBy.size doesn't attach index name properly if
|
|
|
|
|
|
grouped by TimeGrouper
|
|
|
|
|
|
- Bug causing an exception in slice assignments because
|
|
|
|
|
|
length_of_indexer returns wrong results
|
|
|
|
|
|
- Bug in csv parser causing lines with initial whitespace plus
|
|
|
|
|
|
one non-space character to be skipped.
|
|
|
|
|
|
- Bug in C csv parser causing spurious NaNs when data started
|
|
|
|
|
|
with newline followed by whitespace.
|
|
|
|
|
|
- Bug causing elements with a null group to spill into the
|
|
|
|
|
|
final group when grouping by a Categorical
|
|
|
|
|
|
- Bug where .iloc and .loc behavior is not consistent on empty
|
|
|
|
|
|
dataframes
|
|
|
|
|
|
- Bug in invalid attribute access on a TimedeltaIndex
|
|
|
|
|
|
incorrectly raised ValueError instead of AttributeError
|
|
|
|
|
|
- Bug in unequal comparisons between categorical data and a
|
|
|
|
|
|
scalar, which was not in the categories (e.g.
|
|
|
|
|
|
Series(Categorical(list("abc"), ordered=True)) > "d". This
|
|
|
|
|
|
returned False for all elements, but now raises a TypeError.
|
|
|
|
|
|
Equality comparisons also now return False for == and True
|
|
|
|
|
|
for !=.
|
|
|
|
|
|
- Bug in DataFrame __setitem__ when right hand side is a
|
|
|
|
|
|
dictionary
|
|
|
|
|
|
- Bug in where when dtype is datetime64/timedelta64, but dtype
|
|
|
|
|
|
of other is not
|
|
|
|
|
|
- Bug in MultiIndex.sortlevel() results in unicode level name
|
|
|
|
|
|
breaks
|
|
|
|
|
|
- Bug in which groupby.transform incorrectly enforced output
|
|
|
|
|
|
dtypes to match input dtypes.
|
|
|
|
|
|
- Bug in DataFrame constructor when columns parameter is set,
|
|
|
|
|
|
and data is an empty list
|
|
|
|
|
|
- Bug in bar plot with log=True raises TypeError if all values
|
|
|
|
|
|
are less than 1
|
|
|
|
|
|
- Bug in horizontal bar plot ignores log=True
|
|
|
|
|
|
- Bug in PyTables queries that did not return proper results
|
|
|
|
|
|
using the index
|
|
|
|
|
|
- Bug where dividing a dataframe containing values of type
|
|
|
|
|
|
Decimal by another Decimal would raise.
|
|
|
|
|
|
- Bug where using DataFrames asfreq would remove the name of
|
|
|
|
|
|
the index.
|
|
|
|
|
|
- Bug causing extra index point when resample BM/BQ
|
|
|
|
|
|
- Changed caching in AbstractHolidayCalendar to be at the
|
|
|
|
|
|
instance level rather than at the class level as the latter
|
|
|
|
|
|
can result in unexpected behaviour.
|
|
|
|
|
|
- Fixed latex output for multi-indexed dataframes
|
|
|
|
|
|
- Bug causing an exception when setting an empty range using
|
|
|
|
|
|
DataFrame.loc
|
|
|
|
|
|
- Bug in hiding ticklabels with subplots and shared axes when
|
|
|
|
|
|
adding a new plot to an existing grid of axes
|
|
|
|
|
|
- Bug in transform and filter when grouping on a categorical
|
|
|
|
|
|
variable
|
|
|
|
|
|
- Bug in transform when groups are equal in number and dtype to
|
|
|
|
|
|
the input index
|
|
|
|
|
|
- Google BigQuery connector now imports dependencies on a
|
|
|
|
|
|
per-method basis.
|
|
|
|
|
|
- Updated BigQuery connector to no longer use deprecated
|
|
|
|
|
|
oauth2client.tools.run()
|
|
|
|
|
|
- Bug in subclassed DataFrame. It may not return the correct
|
|
|
|
|
|
class, when slicing or subsetting it.
|
|
|
|
|
|
- Bug in .median() where non-float null values are not handled
|
|
|
|
|
|
correctly
|
|
|
|
|
|
- Bug in Series.fillna() where it raises if a numerically
|
|
|
|
|
|
convertible string is given
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Mar 24 12:44:20 UTC 2015 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.16.0:
|
|
|
|
|
|
* Highlights:
|
|
|
|
|
|
- DataFrame.assign method
|
|
|
|
|
|
- Series.to_coo/from_coo methods to interact with scipy.sparse
|
|
|
|
|
|
- Backwards incompatible change to Timedelta to conform the .seconds
|
|
|
|
|
|
attribute with datetime.timedelta
|
|
|
|
|
|
- Changes to the .loc slicing API to conform with the behavior of .ix
|
|
|
|
|
|
- Changes to the default for ordering in the Categorical constructor
|
|
|
|
|
|
- Enhancement to the .str accessor to make string operations easier
|
|
|
|
|
|
- The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy
|
|
|
|
|
|
modules are deprecated. We refer users to external packages like
|
|
|
|
|
|
seaborn, pandas-qt and rpy2 for similar or equivalent functionality
|
|
|
|
|
|
* New features
|
|
|
|
|
|
- Inspired by dplyr's mutate verb, DataFrame has a new assign method.
|
|
|
|
|
|
- Added SparseSeries.to_coo and SparseSeries.from_coo methods for
|
|
|
|
|
|
converting to and from scipy.sparse.coo_matrix instances.
|
|
|
|
|
|
- Following new methods are accesible via .str accessor to apply the
|
|
|
|
|
|
function to each values. This is intended to make it more consistent with
|
|
|
|
|
|
standard methods on strings: isalnum(), isalpha(), isdigit(), isdigit(),
|
|
|
|
|
|
isspace(), islower(), isupper(), istitle(), isnumeric(), isdecimal(),
|
|
|
|
|
|
find(), rfind(), ljust(), rjust(), zfill()
|
|
|
|
|
|
- Reindex now supports method='nearest' for frames or series with a
|
|
|
|
|
|
monotonic increasing or decreasing index.
|
|
|
|
|
|
- The read_excel() function's sheetname argument now accepts a list and
|
|
|
|
|
|
None, to get multiple or all sheets respectively. If more than one sheet
|
|
|
|
|
|
is specified, a dictionary is returned.
|
|
|
|
|
|
- Allow Stata files to be read incrementally with an iterator; support for
|
|
|
|
|
|
long strings in Stata files.
|
|
|
|
|
|
- Paths beginning with ~ will now be expanded to begin with the user's home
|
|
|
|
|
|
directory.
|
|
|
|
|
|
- Added time interval selection in get_data_yahoo.
|
|
|
|
|
|
- Added Timestamp.to_datetime64() to complement Timedelta.to_timedelta64().
|
|
|
|
|
|
- tseries.frequencies.to_offset() now accepts Timedelta as input.
|
|
|
|
|
|
- Lag parameter was added to the autocorrelation method of Series, defaults
|
|
|
|
|
|
to lag-1 autocorrelation.
|
|
|
|
|
|
- Timedelta will now accept nanoseconds keyword in constructor.
|
|
|
|
|
|
- SQL code now safely escapes table and column names.
|
|
|
|
|
|
- Added auto-complete for Series.str.<tab>, Series.dt.<tab> and
|
|
|
|
|
|
Series.cat.<tab>.
|
|
|
|
|
|
- Index.get_indexer now supports method='pad' and method='backfill' even
|
|
|
|
|
|
for any target array, not just monotonic targets.
|
|
|
|
|
|
- Index.asof now works on all index types.
|
|
|
|
|
|
- A verbose argument has been augmented in io.read_excel(), defaults to
|
|
|
|
|
|
False. Set to True to print sheet names as they are parsed.
|
|
|
|
|
|
- Added days_in_month (compatibility alias daysinmonth) property to
|
|
|
|
|
|
Timestamp, DatetimeIndex, Period, PeriodIndex, and Series.dt.
|
|
|
|
|
|
- Added decimal option in to_csv to provide formatting for non-'.' decimal
|
|
|
|
|
|
separators
|
|
|
|
|
|
- Added normalize option for Timestamp to normalized to midnight
|
|
|
|
|
|
- Added example for DataFrame import to R using HDF5 file and rhdf5
|
|
|
|
|
|
library.
|
|
|
|
|
|
* Backwards incompatible API changes
|
|
|
|
|
|
- In v0.16.0, we are restoring the API to match that of datetime.timedelta.
|
|
|
|
|
|
Further, the component values are still available through the .components
|
|
|
|
|
|
accessor. This affects the .seconds and .microseconds accessors, and
|
|
|
|
|
|
removes the .hours, .minutes, .milliseconds accessors. These changes
|
|
|
|
|
|
affect TimedeltaIndex and the Series .dt accessor as well.
|
|
|
|
|
|
- The behavior of a small sub-set of edge cases for using .loc have
|
|
|
|
|
|
changed. Furthermore we have improved the content of the error messages
|
|
|
|
|
|
that are raised:
|
|
|
|
|
|
+ Slicing with .loc where the start and/or stop bound is not found in
|
|
|
|
|
|
the index is now allowed; this previously would raise a KeyError. This
|
|
|
|
|
|
makes the behavior the same as .ix in this case. This change is only
|
|
|
|
|
|
for slicing, not when indexing with a single label.
|
|
|
|
|
|
+ Allow slicing with float-like values on an integer index for .ix.
|
|
|
|
|
|
Previously this was only enabled for .loc:
|
|
|
|
|
|
+ Provide a useful exception for indexing with an invalid type for that
|
|
|
|
|
|
index when using .loc. For example trying to use .loc on an index of
|
|
|
|
|
|
type DatetimeIndex or PeriodIndex or TimedeltaIndex, with an integer
|
|
|
|
|
|
(or a float).
|
|
|
|
|
|
- In prior versions, Categoricals that had an unspecified ordering
|
|
|
|
|
|
(meaning no ordered keyword was passed) were defaulted as ordered
|
|
|
|
|
|
Categoricals. Going forward, the ordered keyword in the Categorical
|
|
|
|
|
|
constructor will default to False. Ordering must now be explicit.
|
|
|
|
|
|
Furthermore, previously you *could* change the ordered attribute of a
|
|
|
|
|
|
Categorical by just setting the attribute, e.g. cat.ordered=True; This is
|
|
|
|
|
|
now deprecated and you should use cat.as_ordered() or cat.as_unordered().
|
|
|
|
|
|
These will by default return a **new** object and not modify the
|
|
|
|
|
|
existing object.
|
|
|
|
|
|
- Index.duplicated now returns np.array(dtype=bool) rather than
|
|
|
|
|
|
Index(dtype=object) containing bool values.
|
|
|
|
|
|
- DataFrame.to_json now returns accurate type serialisation for each column
|
|
|
|
|
|
for frames of mixed dtype
|
|
|
|
|
|
- DatetimeIndex, PeriodIndex and TimedeltaIndex.summary now output the same
|
|
|
|
|
|
format.
|
|
|
|
|
|
- TimedeltaIndex.freqstr now output the same string format as
|
|
|
|
|
|
DatetimeIndex.
|
|
|
|
|
|
- Bar and horizontal bar plots no longer add a dashed line along the info
|
|
|
|
|
|
axis. The prior style can be achieved with matplotlib's axhline or
|
|
|
|
|
|
axvline methods.
|
|
|
|
|
|
- Series accessors .dt, .cat and .str now raise AttributeError instead of
|
|
|
|
|
|
TypeError if the series does not contain the appropriate type of data.
|
|
|
|
|
|
This follows Python's built-in exception hierarchy more closely and
|
|
|
|
|
|
ensures that tests like hasattr(s, 'cat') are consistent on both Python
|
|
|
|
|
|
2 and 3.
|
|
|
|
|
|
- Series now supports bitwise operation for integral types. Previously even
|
|
|
|
|
|
if the input dtypes were integral, the output dtype was coerced to bool.
|
|
|
|
|
|
- During division involving a Series or DataFrame, 0/0 and 0//0 now give
|
|
|
|
|
|
np.nan instead of np.inf.
|
|
|
|
|
|
- Series.values_counts and Series.describe for categorical data will now
|
|
|
|
|
|
put NaN entries at the end.
|
|
|
|
|
|
- Series.describe for categorical data will now give counts and frequencies
|
|
|
|
|
|
of 0, not NaN, for unused categories
|
|
|
|
|
|
- Due to a bug fix, looking up a partial string label with
|
|
|
|
|
|
DatetimeIndex.asof now includes values that match the string, even if
|
|
|
|
|
|
they are after the start of the partial string label. Old behavior:
|
|
|
|
|
|
* Deprecations
|
|
|
|
|
|
- The rplot trellis plotting interface is deprecated and will be removed
|
|
|
|
|
|
in a future version. We refer to external packages like
|
|
|
|
|
|
seaborn for similar but more refined functionality.
|
|
|
|
|
|
- The pandas.sandbox.qtpandas interface is deprecated and will be removed
|
|
|
|
|
|
in a future version.
|
|
|
|
|
|
We refer users to the external package pandas-qt.
|
|
|
|
|
|
- The pandas.rpy interface is deprecated and will be removed in a future
|
|
|
|
|
|
version.
|
|
|
|
|
|
Similar functionaility can be accessed thru the rpy2 project
|
|
|
|
|
|
- Adding DatetimeIndex/PeriodIndex to another DatetimeIndex/PeriodIndex is
|
|
|
|
|
|
being deprecated as a set-operation. This will be changed to a TypeError
|
|
|
|
|
|
in a future version. .union() should be used for the union set operation.
|
|
|
|
|
|
- Subtracting DatetimeIndex/PeriodIndex from another
|
|
|
|
|
|
DatetimeIndex/PeriodIndex is being deprecated as a set-operation. This
|
|
|
|
|
|
will be changed to an actual numeric subtraction yielding a
|
|
|
|
|
|
TimeDeltaIndex in a future version. .difference() should be used for
|
|
|
|
|
|
the differencing set operation.
|
|
|
|
|
|
* Removal of prior version deprecations/changes
|
|
|
|
|
|
- DataFrame.pivot_table and crosstab's rows and cols keyword arguments were
|
|
|
|
|
|
removed in favor
|
|
|
|
|
|
of index and columns
|
|
|
|
|
|
- DataFrame.to_excel and DataFrame.to_csv cols keyword argument was removed
|
|
|
|
|
|
in favor of columns
|
|
|
|
|
|
- Removed convert_dummies in favor of get_dummies
|
|
|
|
|
|
- Removed value_range in favor of describe
|
|
|
|
|
|
* Performance Improvements
|
|
|
|
|
|
- Fixed a performance regression for .loc indexing with an array or
|
|
|
|
|
|
list-like.
|
|
|
|
|
|
- DataFrame.to_json 30x performance improvement for mixed dtype frames.
|
|
|
|
|
|
- Performance improvements in MultiIndex.duplicated by working with labels
|
|
|
|
|
|
instead of values
|
|
|
|
|
|
- Improved the speed of nunique by calling unique instead of value_counts
|
|
|
|
|
|
- Performance improvement of up to 10x in DataFrame.count and
|
|
|
|
|
|
DataFrame.dropna by taking advantage of homogeneous/heterogeneous dtypes
|
|
|
|
|
|
appropriately
|
|
|
|
|
|
- Performance improvement of up to 20x in DataFrame.count when using a
|
|
|
|
|
|
MultiIndex and the level keyword argument
|
|
|
|
|
|
- Performance and memory usage improvements in merge when key space exceeds
|
|
|
|
|
|
int64 bounds
|
|
|
|
|
|
- Performance improvements in multi-key groupby
|
|
|
|
|
|
- Performance improvements in MultiIndex.sortlevel
|
|
|
|
|
|
- Performance and memory usage improvements in DataFrame.duplicated
|
|
|
|
|
|
- Cythonized Period
|
|
|
|
|
|
- Decreased memory usage on to_hdf
|
|
|
|
|
|
* Bug Fixes
|
|
|
|
|
|
- Changed .to_html to remove leading/trailing spaces in table body
|
|
|
|
|
|
- Fixed issue using read_csv on s3 with Python 3
|
|
|
|
|
|
- Fixed compatibility issue in DatetimeIndex affecting architectures where
|
|
|
|
|
|
numpy.int_ defaults to numpy.int32
|
|
|
|
|
|
- Bug in Panel indexing with an object-like
|
|
|
|
|
|
- Bug in the returned Series.dt.components index was reset to the default
|
|
|
|
|
|
index
|
|
|
|
|
|
- Bug in Categorical.__getitem__/__setitem__ with listlike input getting
|
|
|
|
|
|
incorrect results from indexer coercion
|
|
|
|
|
|
- Bug in partial setting with a DatetimeIndex
|
|
|
|
|
|
- Bug in groupby for integer and datetime64 columns when applying an
|
|
|
|
|
|
aggregator that caused the value to be
|
|
|
|
|
|
changed when the number was sufficiently large
|
|
|
|
|
|
- Fixed bug in to_sql when mapping a Timestamp object column (datetime
|
|
|
|
|
|
column with timezone info) to the appropriate sqlalchemy type.
|
|
|
|
|
|
- Fixed bug in to_sql dtype argument not accepting an instantiated
|
|
|
|
|
|
SQLAlchemy type.
|
|
|
|
|
|
- Bug in .loc partial setting with a np.datetime64
|
|
|
|
|
|
- Incorrect dtypes inferred on datetimelike looking Series & on .xs slices
|
|
|
|
|
|
- Items in Categorical.unique() (and s.unique() if s is of dtype category)
|
|
|
|
|
|
now appear in the order in which they are originally found, not in sorted
|
|
|
|
|
|
order. This is now consistent with the behavior for other dtypes in pandas.
|
|
|
|
|
|
- Fixed bug on big endian platforms which produced incorrect results in
|
|
|
|
|
|
StataReader.
|
|
|
|
|
|
- Bug in MultiIndex.has_duplicates when having many levels causes an
|
|
|
|
|
|
indexer overflow
|
|
|
|
|
|
- Bug in pivot and unstack where nan values would break index alignment
|
|
|
|
|
|
- Bug in left join on multi-index with sort=True or null values.
|
|
|
|
|
|
- Bug in MultiIndex where inserting new keys would fail.
|
|
|
|
|
|
- Bug in groupby when key space exceeds int64 bounds.
|
|
|
|
|
|
- Bug in unstack with TimedeltaIndex or DatetimeIndex and nulls.
|
|
|
|
|
|
- Bug in rank where comparing floats with tolerance will cause inconsistent
|
|
|
|
|
|
behaviour.
|
|
|
|
|
|
- Fixed character encoding bug in read_stata and StataReader when loading
|
|
|
|
|
|
data from a URL.
|
|
|
|
|
|
- Bug in adding offsets.Nano to other offets raises TypeError
|
|
|
|
|
|
- Bug in DatetimeIndex iteration, related to, fixed in
|
|
|
|
|
|
- Bugs in resample around DST transitions. This required fixing offset
|
|
|
|
|
|
classes so they behave correctly on DST transitions.
|
|
|
|
|
|
- Bug in binary operator method (eg .mul()) alignment with integer levels.
|
|
|
|
|
|
- Bug in boxplot, scatter and hexbin plot may show an unnecessary warning
|
|
|
|
|
|
- Bug in subplot with layout kw may show unnecessary warning
|
|
|
|
|
|
- Bug in using grouper functions that need passed thru arguments (e.g.
|
|
|
|
|
|
axis), when using wrapped function (e.g. fillna),
|
|
|
|
|
|
- DataFrame now properly supports simultaneous copy and dtype arguments in
|
|
|
|
|
|
constructor
|
|
|
|
|
|
- Bug in read_csv when using skiprows on a file with CR line endings with
|
|
|
|
|
|
the c engine.
|
|
|
|
|
|
- isnull now detects NaT in PeriodIndex
|
|
|
|
|
|
- Bug in groupby .nth() with a multiple column groupby
|
|
|
|
|
|
- Bug in DataFrame.where and Series.where coerce numerics to string
|
|
|
|
|
|
incorrectly
|
|
|
|
|
|
- Bug in DataFrame.where and Series.where raise ValueError when string
|
|
|
|
|
|
list-like is passed.
|
|
|
|
|
|
- Accessing Series.str methods on with non-string values now raises
|
|
|
|
|
|
TypeError instead of producing incorrect results
|
|
|
|
|
|
- Bug in DatetimeIndex.__contains__ when index has duplicates and is not
|
|
|
|
|
|
monotonic increasing
|
|
|
|
|
|
- Fixed division by zero error for Series.kurt() when all values are equal
|
|
|
|
|
|
- Fixed issue in the xlsxwriter engine where it added a default 'General'
|
|
|
|
|
|
format to cells if no other format wass applied. This prevented other
|
|
|
|
|
|
row or column formatting being applied.
|
|
|
|
|
|
- Fixes issue with index_col=False when usecols is also specified in
|
|
|
|
|
|
read_csv.
|
|
|
|
|
|
- Bug where wide_to_long would modify the input stubnames list
|
|
|
|
|
|
- Bug in to_sql not storing float64 values using double precision.
|
|
|
|
|
|
- SparseSeries and SparsePanel now accept zero argument constructors (same
|
|
|
|
|
|
as their non-sparse counterparts).
|
|
|
|
|
|
- Regression in merging Categorical and object dtypes
|
|
|
|
|
|
- Bug in read_csv with buffer overflows with certain malformed input files
|
|
|
|
|
|
- Bug in groupby MultiIndex with missing pair
|
|
|
|
|
|
- Fixed bug in Series.groupby where grouping on MultiIndex levels would
|
|
|
|
|
|
ignore the sort argument
|
|
|
|
|
|
- Fix bug in DataFrame.Groupby where sort=False is ignored in the case of
|
|
|
|
|
|
Categorical columns.
|
|
|
|
|
|
- Fixed bug with reading CSV files from Amazon S3 on python 3 raising a
|
|
|
|
|
|
TypeError
|
|
|
|
|
|
- Bug in the Google BigQuery reader where the 'jobComplete' key may be
|
|
|
|
|
|
present but False in the query results
|
|
|
|
|
|
- Bug in Series.values_counts with excluding NaN for categorical type
|
|
|
|
|
|
Series with dropna=True
|
|
|
|
|
|
- Fixed mising numeric_only option for DataFrame.std/var/sem
|
|
|
|
|
|
- Support constructing Panel or Panel4D with scalar data
|
|
|
|
|
|
- Series text representation disconnected from `max_rows`/`max_columns`.
|
|
|
|
|
|
- Series number formatting inconsistent when truncated.
|
|
|
|
|
|
- A Spurious SettingWithCopy Warning was generated when setting a new item
|
|
|
|
|
|
in a frame in some cases
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Jan 12 13:46:26 UTC 2015 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- update to version 0.15.2:
|
|
|
|
|
|
* API changes:
|
|
|
|
|
|
- Indexing in MultiIndex beyond lex-sort depth is now supported,
|
|
|
|
|
|
though a lexically sorted index will have a better
|
|
|
|
|
|
performance. (GH2646)
|
|
|
|
|
|
- Bug in unique of Series with category dtype, which returned all
|
|
|
|
|
|
categories regardless whether they were "used" or not (see
|
|
|
|
|
|
GH8559 for the discussion). Previous behaviour was to return all
|
|
|
|
|
|
categories.
|
|
|
|
|
|
- Series.all and Series.any now support the level and skipna
|
|
|
|
|
|
parameters. Series.all, Series.any, Index.all, and Index.any no
|
|
|
|
|
|
longer support the out and keepdims parameters, which existed
|
|
|
|
|
|
for compatibility with ndarray. Various index types no longer
|
|
|
|
|
|
support the all and any aggregation functions and will now raise
|
|
|
|
|
|
TypeError. (GH8302).
|
|
|
|
|
|
- Allow equality comparisons of Series with a categorical dtype
|
|
|
|
|
|
and object dtype; previously these would raise TypeError
|
|
|
|
|
|
(GH8938)
|
|
|
|
|
|
- Bug in NDFrame: conflicting attribute/column names now behave
|
|
|
|
|
|
consistently between getting and setting. Previously, when both
|
|
|
|
|
|
a column and attribute named y existed, data.y would return the
|
|
|
|
|
|
attribute, while data.y = z would update the column (GH8994)
|
|
|
|
|
|
- Timestamp('now') is now equivalent to Timestamp.now() in that it
|
|
|
|
|
|
returns the local time rather than UTC. Also, Timestamp('today')
|
|
|
|
|
|
is now equivalent to Timestamp.today() and both have tz as a
|
|
|
|
|
|
possible argument. (GH9000)
|
|
|
|
|
|
- Fix negative step support for label-based slices (GH8753)
|
|
|
|
|
|
* Enhancements:
|
|
|
|
|
|
- Added ability to export Categorical data to Stata (GH8633). See
|
|
|
|
|
|
here for limitations of categorical variables exported to Stata
|
|
|
|
|
|
data files.
|
|
|
|
|
|
- Added flag order_categoricals to StataReader and read_stata to
|
|
|
|
|
|
select whether to order imported categorical data (GH8836). See
|
|
|
|
|
|
here for more information on importing categorical variables
|
|
|
|
|
|
from Stata data files.
|
|
|
|
|
|
- Added ability to export Categorical data to to/from HDF5
|
|
|
|
|
|
(GH7621). Queries work the same as if it was an object
|
|
|
|
|
|
array. However, the category dtyped data is stored in a more
|
|
|
|
|
|
efficient manner. See here for an example and caveats
|
|
|
|
|
|
w.r.t. prior versions of pandas.
|
|
|
|
|
|
- Added support for searchsorted() on Categorical class (GH8420).
|
|
|
|
|
|
- Added the ability to specify the SQL type of columns when
|
|
|
|
|
|
writing a DataFrame to a database (GH8778). For example,
|
|
|
|
|
|
specifying to use the sqlalchemy String type instead of the
|
|
|
|
|
|
default Text type for string columns.
|
|
|
|
|
|
- Series.all and Series.any now support the level and skipna
|
|
|
|
|
|
parameters (GH8302).
|
|
|
|
|
|
- Panel now supports the all and any aggregation
|
|
|
|
|
|
functions. (GH8302).
|
|
|
|
|
|
- Added support for utcfromtimestamp(), fromtimestamp(), and
|
|
|
|
|
|
combine() on Timestamp class (GH5351).
|
|
|
|
|
|
- Added Google Analytics (pandas.io.ga) basic documentation
|
|
|
|
|
|
(GH8835).
|
|
|
|
|
|
- Timedelta arithmetic returns NotImplemented in unknown cases,
|
|
|
|
|
|
allowing extensions by custom classes (GH8813).
|
|
|
|
|
|
- Timedelta now supports arithemtic with numpy.ndarray objects of
|
|
|
|
|
|
the appropriate dtype (numpy 1.8 or newer only) (GH8884).
|
|
|
|
|
|
- Added Timedelta.to_timedelta64() method to the public API
|
|
|
|
|
|
(GH8884).
|
|
|
|
|
|
- Added gbq.generate_bq_schema() function to the gbq module
|
|
|
|
|
|
(GH8325).
|
|
|
|
|
|
- Series now works with map objects the same way as generators
|
|
|
|
|
|
(GH8909).
|
|
|
|
|
|
- Added context manager to HDFStore for automatic closing
|
|
|
|
|
|
(GH8791).
|
|
|
|
|
|
- to_datetime gains an exact keyword to allow for a format to not
|
|
|
|
|
|
require an exact match for a provided format string (if its
|
|
|
|
|
|
False). exact defaults to True (meaning that exact matching is
|
|
|
|
|
|
still the default) (GH8904)
|
|
|
|
|
|
- Added axvlines boolean option to parallel_coordinates plot
|
|
|
|
|
|
function, determines whether vertical lines will be printed,
|
|
|
|
|
|
default is True
|
|
|
|
|
|
- Added ability to read table footers to read_html (GH8552).
|
|
|
|
|
|
- to_sql now infers datatypes of non-NA values for columns that
|
|
|
|
|
|
contain NA values and have dtype object (GH8778).
|
|
|
|
|
|
* Performance:
|
|
|
|
|
|
- Reduce memory usage when skiprows is an integer in read_csv
|
|
|
|
|
|
(GH8681)
|
|
|
|
|
|
- Performance boost for to_datetime conversions with a passed
|
|
|
|
|
|
format=, and the exact=False (GH8904)
|
|
|
|
|
|
* Bug fixes:
|
|
|
|
|
|
- Bug in concat of Series with category dtype which were coercing
|
|
|
|
|
|
to object. (GH8641)
|
|
|
|
|
|
- Bug in Timestamp-Timestamp not returning a Timedelta type and
|
|
|
|
|
|
datelike-datelike ops with timezones (GH8865)
|
|
|
|
|
|
- Made consistent a timezone mismatch exception (either tz
|
|
|
|
|
|
operated with None or incompatible timezone), will now return
|
|
|
|
|
|
TypeError rather than ValueError (a couple of edge cases only),
|
|
|
|
|
|
(GH8865)
|
|
|
|
|
|
- Bug in using a pd.Grouper(key=...) with no level/axis or level
|
|
|
|
|
|
only (GH8795, GH8866)
|
|
|
|
|
|
- Report a TypeError when invalid/no paramaters are passed in a
|
|
|
|
|
|
groupby (GH8015)
|
|
|
|
|
|
- Bug in packaging pandas with py2app/cx_Freeze (GH8602, GH8831)
|
|
|
|
|
|
- Bug in groupby signatures that didn’t include *args or **kwargs
|
|
|
|
|
|
(GH8733).
|
|
|
|
|
|
- io.data.Options now raises RemoteDataError when no expiry dates
|
|
|
|
|
|
are available from Yahoo and when it receives no data from Yahoo
|
|
|
|
|
|
(GH8761), (GH8783).
|
|
|
|
|
|
- Unclear error message in csv parsing when passing dtype and
|
|
|
|
|
|
names and the parsed data is a different data type (GH8833)
|
|
|
|
|
|
- Bug in slicing a multi-index with an empty list and at least one
|
|
|
|
|
|
boolean indexer (GH8781)
|
|
|
|
|
|
- io.data.Options now raises RemoteDataError when no expiry dates
|
|
|
|
|
|
are available from Yahoo (GH8761).
|
|
|
|
|
|
- Timedelta kwargs may now be numpy ints and floats (GH8757).
|
|
|
|
|
|
- Fixed several outstanding bugs for Timedelta arithmetic and
|
|
|
|
|
|
comparisons (GH8813, GH5963, GH5436).
|
|
|
|
|
|
- sql_schema now generates dialect appropriate CREATE TABLE
|
|
|
|
|
|
statements (GH8697)
|
|
|
|
|
|
- slice string method now takes step into account (GH8754)
|
|
|
|
|
|
- Bug in BlockManager where setting values with different type
|
|
|
|
|
|
would break block integrity (GH8850)
|
|
|
|
|
|
- Bug in DatetimeIndex when using time object as key (GH8667)
|
|
|
|
|
|
- Bug in merge where how='left' and sort=False would not preserve
|
|
|
|
|
|
left frame order (GH7331)
|
|
|
|
|
|
- Bug in MultiIndex.reindex where reindexing at level would not
|
|
|
|
|
|
reorder labels (GH4088)
|
|
|
|
|
|
- Bug in certain operations with dateutil timezones, manifesting
|
|
|
|
|
|
with dateutil 2.3 (GH8639)
|
|
|
|
|
|
- Regression in DatetimeIndex iteration with a Fixed/Local offset
|
|
|
|
|
|
timezone (GH8890)
|
|
|
|
|
|
- Bug in to_datetime when parsing a nanoseconds using the %f
|
|
|
|
|
|
format (GH8989)
|
|
|
|
|
|
- io.data.Options now raises RemoteDataError when no expiry dates
|
|
|
|
|
|
are available from Yahoo and when it receives no data from Yahoo
|
|
|
|
|
|
(GH8761), (GH8783).
|
|
|
|
|
|
- Fix: The font size was only set on x axis if vertical or the y
|
|
|
|
|
|
axis if horizontal. (GH8765)
|
|
|
|
|
|
- Fixed division by 0 when reading big csv files in python 3
|
|
|
|
|
|
(GH8621)
|
|
|
|
|
|
- Bug in outputing a Multindex with to_html,index=False which
|
|
|
|
|
|
would add an extra column (GH8452)
|
|
|
|
|
|
- Imported categorical variables from Stata files retain the
|
|
|
|
|
|
ordinal information in the underlying data (GH8836).
|
|
|
|
|
|
- Defined .size attribute across NDFrame objects to provide compat
|
|
|
|
|
|
with numpy >= 1.9.1; buggy with np.array_split (GH8846)
|
|
|
|
|
|
- Skip testing of histogram plots for matplotlib <= 1.2 (GH8648).
|
|
|
|
|
|
- Bug where get_data_google returned object dtypes (GH3995)
|
|
|
|
|
|
- Bug in DataFrame.stack(..., dropna=False) when the DataFrame’s
|
|
|
|
|
|
columns is a MultiIndex whose labels do not reference all its
|
|
|
|
|
|
levels. (GH8844)
|
|
|
|
|
|
- Bug in that Option context applied on __enter__ (GH8514)
|
|
|
|
|
|
- Bug in resample that causes a ValueError when resampling across
|
|
|
|
|
|
multiple days and the last offset is not calculated from the
|
|
|
|
|
|
start of the range (GH8683)
|
|
|
|
|
|
- Bug where DataFrame.plot(kind='scatter') fails when checking if
|
|
|
|
|
|
an np.array is in the DataFrame (GH8852)
|
|
|
|
|
|
- Bug in pd.infer_freq/DataFrame.inferred_freq that prevented
|
|
|
|
|
|
proper sub-daily frequency inference when the index contained
|
|
|
|
|
|
DST days (GH8772).
|
|
|
|
|
|
- Bug where index name was still used when plotting a series with
|
|
|
|
|
|
use_index=False (GH8558).
|
|
|
|
|
|
- Bugs when trying to stack multiple columns, when some (or all)
|
|
|
|
|
|
of the level names are numbers (GH8584).
|
|
|
|
|
|
- Bug in MultiIndex where __contains__ returns wrong result if
|
|
|
|
|
|
index is not lexically sorted or unique (GH7724)
|
|
|
|
|
|
- BUG CSV: fix problem with trailing whitespace in skipped rows,
|
|
|
|
|
|
(GH8679), (GH8661), (GH8983)
|
|
|
|
|
|
- Regression in Timestamp does not parse ‘Z’ zone designator for
|
|
|
|
|
|
UTC (GH8771)
|
|
|
|
|
|
- Bug in StataWriter the produces writes strings with 244
|
|
|
|
|
|
characters irrespective of actual size (GH8969)
|
|
|
|
|
|
- Fixed ValueError raised by cummin/cummax when datetime64 Series
|
|
|
|
|
|
contains NaT. (GH8965)
|
|
|
|
|
|
- Bug in Datareader returns object dtype if there are missing
|
|
|
|
|
|
values (GH8980)
|
|
|
|
|
|
- Bug in plotting if sharex was enabled and index was a
|
|
|
|
|
|
timeseries, would show labels on multiple axes (GH3964).
|
|
|
|
|
|
- Bug where passing a unit to the TimedeltaIndex constructor
|
|
|
|
|
|
applied the to nano-second conversion twice. (GH9011).
|
|
|
|
|
|
- Bug in plotting of a period-like array (GH9012)
|
|
|
|
|
|
- Update copyright year
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sun Nov 9 15:40:36 UTC 2014 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Updated to version 0.15.1:
|
|
|
|
|
|
+ API changes
|
|
|
|
|
|
- Represent ``MultiIndex`` labels with a dtype that utilizes memory based
|
|
|
|
|
|
on the level size.
|
|
|
|
|
|
- ``groupby`` with ``as_index=False`` will not add erroneous extra columns
|
|
|
|
|
|
to result (:issue:`8582`):
|
|
|
|
|
|
- ``groupby`` will not erroneously exclude columns if the column name
|
|
|
|
|
|
conflics with the grouper name (:issue:`8112`):
|
|
|
|
|
|
- ``concat`` permits a wider variety of iterables of pandas objects to be
|
|
|
|
|
|
passed as the first parameter (:issue:`8645`):
|
|
|
|
|
|
- ``s.dt.hour`` and other ``.dt`` accessors will now return ``np.nan`` for
|
|
|
|
|
|
missing values (rather than previously -1), (:issue:`8689`)
|
|
|
|
|
|
- support for slicing with monotonic decreasing indexes, even if ``start``
|
|
|
|
|
|
or ``stop`` is not found in the index (:issue:`7860`):
|
|
|
|
|
|
- added Index properties `is_monotonic_increasing` and
|
|
|
|
|
|
`is_monotonic_decreasing` (:issue:`8680`).
|
|
|
|
|
|
- pandas now also registers the ``datetime64`` dtype in matplotlib's units
|
|
|
|
|
|
registry to plot such values as datetimes.
|
|
|
|
|
|
+ Enhancements
|
|
|
|
|
|
- Added option to select columns when importing Stata files (:issue:`7935`)
|
|
|
|
|
|
- Qualify memory usage in ``DataFrame.info()`` by adding ``+`` if it is a
|
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|
|
lower bound (:issue:`8578`)
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|
|
- Raise errors in certain aggregation cases where an argument such as
|
|
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|
|
``numeric_only`` is not handled (:issue:`8592`).
|
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|
|
- Added support for 3-character ISO and non-standard country codes in
|
|
|
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|
|
:func:``io.wb.download()`` (:issue:`8482`)
|
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|
|
- :ref:`World Bank data requests <remote_data.wb>` now will warn/raise
|
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|
|
based on an ``errors`` argument, as well as a list of hard-coded country
|
|
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|
|
codes and the World Bank's JSON response.
|
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|
|
- Added option to ``Series.str.split()`` to return a ``DataFrame`` rather
|
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|
|
than a ``Series`` (:issue:`8428`)
|
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|
|
- Added option to ``df.info(null_counts=None|True|False)`` to override the
|
|
|
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|
|
default display options and force showing of the null-counts
|
|
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|
|
(:issue:`8701`)
|
|
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|
+ Bug Fixes
|
|
|
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|
|
- Bug in unpickling of a ``CustomBusinessDay`` object (:issue:`8591`)
|
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|
|
- Bug in coercing ``Categorical`` to a records array, e.g.
|
|
|
|
|
|
``df.to_records()`` (:issue:`8626`)
|
|
|
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|
|
- Bug in ``Categorical`` not created properly with ``Series.to_frame()``
|
|
|
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|
|
(:issue:`8626`)
|
|
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|
|
- Bug in coercing in astype of a ``Categorical`` of a passed
|
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|
|
``pd.Categorical`` (this now raises ``TypeError`` correctly),
|
|
|
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|
|
(:issue:`8626`)
|
|
|
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|
|
- Bug in ``cut``/``qcut`` when using ``Series`` and ``retbins=True``
|
|
|
|
|
|
(:issue:`8589`)
|
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|
|
- Bug in writing Categorical columns to an SQL database with ``to_sql``
|
|
|
|
|
|
(:issue:`8624`).
|
|
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|
|
- Bug in comparing ``Categorical`` of datetime raising when being compared
|
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|
|
to a scalar datetime (:issue:`8687`)
|
|
|
|
|
|
- Bug in selecting from a ``Categorical`` with ``.iloc`` (:issue:`8623`)
|
|
|
|
|
|
- Bug in groupby-transform with a Categorical (:issue:`8623`)
|
|
|
|
|
|
- Bug in duplicated/drop_duplicates with a Categorical (:issue:`8623`)
|
|
|
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|
|
- Bug in ``Categorical`` reflected comparison operator raising if the first
|
|
|
|
|
|
argument was a numpy array scalar (e.g. np.int64) (:issue:`8658`)
|
|
|
|
|
|
- Bug in Panel indexing with a list-like (:issue:`8710`)
|
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|
|
|
- Compat issue is ``DataFrame.dtypes`` when
|
|
|
|
|
|
``options.mode.use_inf_as_null`` is True (:issue:`8722`)
|
|
|
|
|
|
- Bug in ``read_csv``, ``dialect`` parameter would not take a string
|
|
|
|
|
|
(:issue: `8703`)
|
|
|
|
|
|
- Bug in slicing a multi-index level with an empty-list (:issue:`8737`)
|
|
|
|
|
|
- Bug in numeric index operations of add/sub with Float/Index Index with
|
|
|
|
|
|
numpy arrays (:issue:`8608`)
|
|
|
|
|
|
- Bug in setitem with empty indexer and unwanted coercion of dtypes
|
|
|
|
|
|
(:issue:`8669`)
|
|
|
|
|
|
- Bug in ix/loc block splitting on setitem (manifests with integer-like
|
|
|
|
|
|
dtypes, e.g. datetime64) (:issue:`8607`)
|
|
|
|
|
|
- Bug when doing label based indexing with integers not found in the index
|
|
|
|
|
|
for non-unique but monotonic indexes (:issue:`8680`).
|
|
|
|
|
|
- Bug when indexing a Float64Index with ``np.nan`` on numpy 1.7
|
|
|
|
|
|
(:issue:`8980`).
|
|
|
|
|
|
- Fix ``shape`` attribute for ``MultiIndex`` (:issue:`8609`)
|
|
|
|
|
|
- Bug in ``GroupBy`` where a name conflict between the grouper and columns
|
|
|
|
|
|
would break ``groupby`` operations (:issue:`7115`, :issue:`8112`)
|
|
|
|
|
|
- Fixed a bug where plotting a column ``y`` and specifying a label would
|
|
|
|
|
|
mutate the index name of the original DataFrame (:issue:`8494`)
|
|
|
|
|
|
- Fix regression in plotting of a DatetimeIndex directly with matplotlib
|
|
|
|
|
|
(:issue:`8614`).
|
|
|
|
|
|
- Bug in ``date_range`` where partially-specified dates would incorporate
|
|
|
|
|
|
current date (:issue:`6961`)
|
|
|
|
|
|
- Bug in Setting by indexer to a scalar value with a mixed-dtype `Panel4d`
|
|
|
|
|
|
was failing (:issue:`8702`)
|
|
|
|
|
|
- Bug where ``DataReader``'s would fail if one of the symbols passed was
|
|
|
|
|
|
invalid. Now returns data for valid symbols and np.nan for invalid
|
|
|
|
|
|
(:issue:`8494`)
|
|
|
|
|
|
- Bug in ``get_quote_yahoo`` that wouldn't allow non-float return values
|
|
|
|
|
|
(:issue:`5229`).
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Oct 20 10:42:30 UTC 2014 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.15.0, highlights:
|
|
|
|
|
|
- Drop support for numpy < 1.7.0
|
|
|
|
|
|
- The Categorical type was integrated as a first-class
|
|
|
|
|
|
pandas type
|
|
|
|
|
|
- New scalar type Timedelta, and a new index type TimedeltaIndex
|
|
|
|
|
|
- New DataFrame default display for df.info() to
|
|
|
|
|
|
include memory usage
|
|
|
|
|
|
- New datetimelike properties accessor .dt for Series
|
|
|
|
|
|
- Split indexing documentation into Indexing and Selecting Data and
|
|
|
|
|
|
MultiIndex / Advanced Indexing
|
|
|
|
|
|
- Split out string methods documentation into Working with Text Data
|
|
|
|
|
|
- read_csv will now by default ignore blank lines when parsing
|
|
|
|
|
|
- API change in using Indexes in set operations
|
|
|
|
|
|
- Internal refactoring of the Index class to no longer
|
|
|
|
|
|
sub-class ndarray
|
|
|
|
|
|
- dropping support for PyTables less than version 3.0.0,
|
|
|
|
|
|
and numexpr less than version 2.1
|
|
|
|
|
|
- Update minimum dependency versions of
|
|
|
|
|
|
python-numpy, python-tables, and python-numexpr
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jul 15 12:31:13 UTC 2014 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.14.1, highlights:
|
|
|
|
|
|
- New methods :meth:`~pandas.DataFrame.select_dtypes` to select columns
|
|
|
|
|
|
based on the dtype and :meth:`~pandas.Series.sem` to calculate the
|
|
|
|
|
|
standard error of the mean.
|
|
|
|
|
|
- Support for dateutil timezones (see :ref:`docs <timeseries.timezone>`).
|
|
|
|
|
|
- Support for ignoring full line comments in the :func:`~pandas.read_csv`
|
|
|
|
|
|
text parser.
|
|
|
|
|
|
- New documentation section on :ref:`Options and Settings <options>`.
|
|
|
|
|
|
- Lots of bug fixes.
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Sun Jun 1 07:41:11 UTC 2014 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.14.0, highlights:
|
|
|
|
|
|
* Officially support Python 3.4
|
|
|
|
|
|
* SQL interfaces updated to use sqlalchemy
|
|
|
|
|
|
* Display interface changes
|
|
|
|
|
|
* MultiIndexing Using Slicers
|
|
|
|
|
|
* Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame
|
|
|
|
|
|
* More consistency in groupby results and more flexible groupby specifications
|
|
|
|
|
|
* Holiday calendars are now supported in CustomBusinessDay
|
|
|
|
|
|
* Several improvements in plotting functions, including: hexbin, area and pie plots
|
|
|
|
|
|
* Performance doc section on I/O operations, See Here
|
|
|
|
|
|
- Added python-SQLAlchemy dependency
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Fri Mar 7 04:11:36 UTC 2014 - arun@gmx.de
|
|
|
|
|
|
|
|
|
|
|
|
- updated to 0.13.1
|
|
|
|
|
|
|
|
|
|
|
|
500 lines worth of Changelog entries, so too long:) For a complete
|
|
|
|
|
|
list see: http://pandas.pydata.org/pandas-docs/dev/release.html
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon Oct 21 21:59:47 UTC 2013 - toddrme2178@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- Update to 0.12.0
|
|
|
|
|
|
* Integrated JSON reading and writing with the read_json
|
|
|
|
|
|
functions and methods like DataFrame.to_json.
|
|
|
|
|
|
* New HTML table reading function read_html which will use either
|
|
|
|
|
|
lxml or BeautifulSoup under the hood.
|
|
|
|
|
|
* Support for reading and writing STATA format files.
|
|
|
|
|
|
- Add all optional dependencies as Recommends
|
|
|
|
|
|
- Build and install documentation
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Mon May 6 06:01:46 UTC 2013 - highwaystar.ru@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
- added Recommends: python-tables
|
|
|
|
|
|
- update to 0.11.0
|
|
|
|
|
|
* New precision indexing fields loc, iloc, at, and iat, to reduce
|
|
|
|
|
|
occasional ambiguity in the catch-all hitherto ix method.
|
|
|
|
|
|
* Expanded support for NumPy data types in DataFrame
|
|
|
|
|
|
* NumExpr integration to accelerate various operator evaluation
|
|
|
|
|
|
* New Cookbook and 10 minutes to pandas pages in the documentation
|
|
|
|
|
|
by Jeff Reback
|
|
|
|
|
|
* Improved DataFrame to CSV exporting performance
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jun 19 20:29:31 UTC 2012 - scorot@free.fr
|
|
|
|
|
|
|
|
|
|
|
|
- remove unneeded python-Pygments and python-Sphinx from build
|
|
|
|
|
|
requirements
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jun 19 20:23:50 UTC 2012 - scorot@free.fr
|
|
|
|
|
|
|
|
|
|
|
|
- remove duplicates
|
|
|
|
|
|
- fix bytecode inconsistent mtime
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Wed Jun 13 20:45:39 UTC 2012 - scorot@free.fr
|
|
|
|
|
|
|
|
|
|
|
|
- use proper commands instead of deprecated macro
|
|
|
|
|
|
- remove unneeded -01 and --skip-build flags from the install
|
|
|
|
|
|
command line
|
|
|
|
|
|
- set install prefix with %%{_prefix} instead of hard coded path
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Wed Jun 13 18:41:46 UTC 2012 - scorot@free.fr
|
|
|
|
|
|
|
|
|
|
|
|
- add %%py_compile macro in order to fix byte code mtime
|
|
|
|
|
|
inconsistency
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jun 12 21:03:07 UTC 2012 - scorot@free.fr
|
|
|
|
|
|
|
|
|
|
|
|
- spec file reformating
|
|
|
|
|
|
|
|
|
|
|
|
-------------------------------------------------------------------
|
|
|
|
|
|
Tue Jun 12 20:46:31 UTC 2012 - scorot@free.fr
|
|
|
|
|
|
|
|
|
|
|
|
- first package
|
|
|
|
|
|
|
