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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Tue May 30 17:08:33 UTC 2017 - toddrme2178@gmail.com
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- Fix documentation BuildRequires.
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-------------------------------------------------------------------
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Thu May 18 01:07:08 UTC 2017 - toddrme2178@gmail.com
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- Update to version 0.20.1
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Highlights include:
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* New ``.agg()`` API for Series/DataFrame similar to the
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groupby-rolling-resample API's
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* Integration with the ``feather-format``, including a new
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top-level ``pd.read_feather()`` and ``DataFrame.to_feather()``
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method
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* The ``.ix`` indexer has been deprecated
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* ``Panel`` has been deprecated
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* Addition of an ``IntervalIndex`` and ``Interval`` scalar type
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* Improved user API when grouping by index levels in ``.groupby()``
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* Improved support for ``UInt64`` dtypes
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* A new orient for JSON serialization, ``orient='table'``, that
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uses the Table Schema spec and that gives the possibility for
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a more interactive repr in the Jupyter Notebook
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* Experimental support for exporting styled DataFrames
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(``DataFrame.style``) to Excel
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* Window binary corr/cov operations now return a MultiIndexed
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``DataFrame`` rather than a ``Panel``, as ``Panel`` is now
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deprecated
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* Support for S3 handling now uses ``s3fs``
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* Google BigQuery support now uses the ``pandas-gbq`` library
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2017-05-08 17:04:25 +00:00
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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
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error message was being raised when skipfooter was not being
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respected by Python’s CSV library (GH13879)
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+ Bug in .fillna() in which timezone aware datetime64 values were
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incorrectly rounded (GH14872)
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+ Bug in .groupby(..., sort=True) of a non-lexsorted MultiIndex
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when grouping with multiple levels (GH14776)
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+ Bug in pd.cut with negative values and a single bin (GH14652)
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+ Bug in pd.to_numeric where a 0 was not unsigned on a
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downcast='unsigned' argument (GH14401)
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+ Bug in plotting regular and irregular timeseries using shared
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axes (sharex=True or ax.twinx()) (GH13341, GH14322).
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+ Bug in not propogating exceptions in parsing invalid datetimes,
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noted in python 3.6 (GH14561)
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+ Bug in resampling a DatetimeIndex in local TZ, covering a DST
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change, which would raise AmbiguousTimeError (GH14682)
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+ Bug in indexing that transformed RecursionError into KeyError or
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IndexingError (GH14554)
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+ Bug in HDFStore when writing a MultiIndex when using
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data_columns=True (GH14435)
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+ Bug in HDFStore.append() when writing a Series and passing a
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min_itemsize argument containing a value for the index (GH11412)
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+ Bug when writing to a HDFStore in table format with a
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min_itemsize value for the index and without asking to append
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(GH10381)
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+ Bug in Series.groupby.nunique() raising an IndexError for an
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empty Series (GH12553)
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+ Bug in DataFrame.nlargest and DataFrame.nsmallest when the index
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had duplicate values (GH13412)
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+ Bug in clipboard functions on linux with python2 with unicode
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and separators (GH13747)
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+ Bug in clipboard functions on Windows 10 and python 3 (GH14362,
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GH12807)
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+ Bug in .to_clipboard() and Excel compat (GH12529)
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+ Bug in DataFrame.combine_first() for integer columns (GH14687).
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+ Bug in pd.read_csv() in which the dtype parameter was not being
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respected for empty data (GH14712)
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+ Bug in pd.read_csv() in which the nrows parameter was not being
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respected for large input when using the C engine for parsing
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(GH7626)
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+ Bug in pd.merge_asof() could not handle timezone-aware
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DatetimeIndex when a tolerance was specified (GH14844)
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+ Explicit check in to_stata and StataWriter for out-of-range
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values when writing doubles (GH14618)
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+ Bug in .plot(kind='kde') which did not drop missing values to
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generate the KDE Plot, instead generating an empty
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plot. (GH14821)
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+ Bug in unstack() if called with a list of column(s) as an
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argument, regardless of the dtypes of all columns, they get
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coerced to object (GH11847)
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- update to version 0.19.1:
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* Performance Improvements
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+ Fixed performance regression in factorization of Period data
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(GH14338)
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+ Fixed performance regression in Series.asof(where) when where is
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a scalar (GH14461)
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+ Improved performance in DataFrame.asof(where) when where is a
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scalar (GH14461)
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+ Improved performance in .to_json() when lines=True (GH14408)
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+ Improved performance in certain types of loc indexing with a
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MultiIndex (GH14551).
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* Bug Fixes
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+ Source installs from PyPI will now again work without cython
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installed, as in previous versions (GH14204)
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+ Compat with Cython 0.25 for building (GH14496)
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+ Fixed regression where user-provided file handles were closed in
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read_csv (c engine) (GH14418).
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+ Fixed regression in DataFrame.quantile when missing values where
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present in some columns (GH14357).
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+ Fixed regression in Index.difference where the freq of a
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DatetimeIndex was incorrectly set (GH14323)
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+ Added back pandas.core.common.array_equivalent with a
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deprecation warning (GH14555).
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+ Bug in pd.read_csv for the C engine in which quotation marks
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were improperly parsed in skipped rows (GH14459)
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+ Bug in pd.read_csv for Python 2.x in which Unicode quote
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characters were no longer being respected (GH14477)
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+ Fixed regression in Index.append when categorical indices were
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appended (GH14545).
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+ Fixed regression in pd.DataFrame where constructor fails when
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given dict with None value (GH14381)
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+ Fixed regression in DatetimeIndex._maybe_cast_slice_bound when
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index is empty (GH14354).
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+ Bug in localizing an ambiguous timezone when a boolean is passed
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(GH14402)
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+ Bug in TimedeltaIndex addition with a Datetime-like object where
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addition overflow in the negative direction was not being caught
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(GH14068, GH14453)
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+ Bug in string indexing against data with object Index may raise
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AttributeError (GH14424)
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+ Corrrecly raise ValueError on empty input to pd.eval() and
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df.query() (GH13139)
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+ Bug in RangeIndex.intersection when result is a empty set
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(GH14364).
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+ Bug in groupby-transform broadcasting that could cause incorrect
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dtype coercion (GH14457)
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+ Bug in Series.__setitem__ which allowed mutating read-only
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arrays (GH14359).
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+ Bug in DataFrame.insert where multiple calls with duplicate
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columns can fail (GH14291)
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+ pd.merge() will raise ValueError with non-boolean parameters in
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passed boolean type arguments (GH14434)
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+ Bug in Timestamp where dates very near the minimum (1677-09)
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could underflow on creation (GH14415)
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+ Bug in pd.concat where names of the keys were not propagated to
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the resulting MultiIndex (GH14252)
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+ Bug in pd.concat where axis cannot take string parameters 'rows'
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or 'columns' (GH14369)
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+ Bug in pd.concat with dataframes heterogeneous in length and
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tuple keys (GH14438)
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+ Bug in MultiIndex.set_levels where illegal level values were
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still set after raising an error (GH13754)
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+ Bug in DataFrame.to_json where lines=True and a value contained
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a } character (GH14391)
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+ Bug in df.groupby causing an AttributeError when grouping a
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single index frame by a column and the index level
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(:issue`14327`)
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+ Bug in df.groupby where TypeError raised when
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pd.Grouper(key=...) is passed in a list (GH14334)
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+ Bug in pd.pivot_table may raise TypeError or ValueError when
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index or columns is not scalar and values is not specified
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(GH14380)
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-------------------------------------------------------------------
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Mon Mar 27 19:12:32 UTC 2017 - toddrme2178@gmail.com
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- Fix documentation building
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2017-01-25 22:18:43 +00:00
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-------------------------------------------------------------------
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Sun Oct 23 01:32:23 UTC 2016 - toddrme2178@gmail.com
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|
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- update to version 0.19.0:
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(long changelog, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-19-0-october-2-2016)
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* Highlights include:
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+ merge_asof() for asof-style time-series joining
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+ .rolling() is now time-series aware
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+ read_csv() now supports parsing Categorical data
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+ A function union_categorical() has been added for combining
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categoricals
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+ PeriodIndex now has its own period dtype, and changed to be more
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consistent with other Index classes
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+ Sparse data structures gained enhanced support of int and bool
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dtypes
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+ Comparison operations with Series no longer ignores the index,
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see here for an overview of the API changes.
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+ Introduction of a pandas development API for utility functions
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+ Deprecation of Panel4D and PanelND. We recommend to represent
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these types of n-dimensional data with the xarray package.
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+ Removal of the previously deprecated modules pandas.io.data,
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pandas.io.wb, pandas.tools.rplot.
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- specfile:
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* require python3-Cython
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* Split documentation into own subpackage to speed up build.
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* Remove buildrequires for optional dependencies to speed up build.
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- Remove unneeded patches:
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* 0001_disable_experimental_msgpack_big_endian.patch ^
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* 0001_respect_byteorder_in_statareader.patch
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