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File python-pandas-doc.changes of Package python-pandas
------------------------------------------------------------------- Thu Jan 11 11:19:29 UTC 2018 - tchvatal@suse.com - Format with spec-cleaner ------------------------------------------------------------------- Wed Jan 3 22:41:40 UTC 2018 - arun@gmx.de - specfile: * update copyright year - update to version 0.22.0: * Pandas 0.22.0 changes the handling of empty and all-NA sums and products. The summary is that + The sum of an empty or all-NA Series is now 0 + The product of an empty or all-NA Series is now 1 + We’ve added a min_count parameter to .sum() and .prod() controlling the minimum number of valid values for the result to be valid. If fewer than min_count non-NA values are present, the result is NA. The default is 0. To return NaN, the 0.21 behavior, use min_count=1. ------------------------------------------------------------------- Sat Dec 16 23:04:54 UTC 2017 - arun@gmx.de - update to version 0.21.1: * Highlights include: + Temporarily restore matplotlib datetime plotting functionality. This should resolve issues for users who implicitly relied on pandas to plot datetimes with matplotlib. See here. + Improvements to the Parquet IO functions introduced in 0.21.0. See here. * Improvements to the Parquet IO functionality + DataFrame.to_parquet() will now write non-default indexes when the underlying engine supports it. The indexes will be preserved when reading back in with read_parquet() (GH18581). + read_parquet() now allows to specify the columns to read from a parquet file (GH18154) + read_parquet() now allows to specify kwargs which are passed to the respective engine (GH18216) * Other Enhancements + Timestamp.timestamp() is now available in Python 2.7. (GH17329) + Grouper and TimeGrouper now have a friendly repr output (GH18203). * Deprecations + pandas.tseries.register has been renamed to pandas.plotting.register_matplotlib_converters`() (GH18301) * Performance Improvements + Improved performance of plotting large series/dataframes (GH18236). * Conversion + Bug in TimedeltaIndex subtraction could incorrectly overflow when NaT is present (GH17791) + Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex could fail to overflow (GH18020) + Bug in IntervalIndex.copy() when copying and IntervalIndex with non-default closed (GH18339) + Bug in DataFrame.to_dict() where columns of datetime that are tz-aware were not converted to required arrays when used with orient='records', raising"TypeError` (GH18372) + Bug in DateTimeIndex and date_range() where mismatching tz-aware start and end timezones would not raise an err if end.tzinfo is None (GH18431) + Bug in Series.fillna() which raised when passed a long integer on Python 2 (GH18159). * Indexing + Bug in a boolean comparison of a datetime.datetime and a datetime64[ns] dtype Series (GH17965) + Bug where a MultiIndex with more than a million records was not raising AttributeError when trying to access a missing attribute (GH18165) + Bug in IntervalIndex constructor when a list of intervals is passed with non-default closed (GH18334) + Bug in Index.putmask when an invalid mask passed (GH18368) + Bug in masked assignment of a timedelta64[ns] dtype Series, incorrectly coerced to float (GH18493) * I/O + Bug in class:~pandas.io.stata.StataReader not converting date/time columns with display formatting addressed (GH17990). Previously columns with display formatting were normally left as ordinal numbers and not converted to datetime objects. + Bug in read_csv() when reading a compressed UTF-16 encoded file (GH18071) + Bug in read_csv() for handling null values in index columns when specifying na_filter=False (GH5239) + Bug in read_csv() when reading numeric category fields with high cardinality (GH18186) + Bug in DataFrame.to_csv() when the table had MultiIndex columns, and a list of strings was passed in for header (GH5539) + Bug in parsing integer datetime-like columns with specified format in read_sql (GH17855). + Bug in DataFrame.to_msgpack() when serializing data of the numpy.bool_ datatype (GH18390) + Bug in read_json() not decoding when reading line deliminted JSON from S3 (GH17200) + Bug in pandas.io.json.json_normalize() to avoid modification of meta (GH18610) + Bug in to_latex() where repeated multi-index values were not printed even though a higher level index differed from the previous row (GH14484) + Bug when reading NaN-only categorical columns in HDFStore (GH18413) + Bug in DataFrame.to_latex() with longtable=True where a latex multicolumn always spanned over three columns (GH17959) * Plotting + Bug in DataFrame.plot() and Series.plot() with DatetimeIndex where a figure generated by them is not pickleable in Python 3 (GH18439) * Groupby/Resample/Rolling + Bug in DataFrame.resample(...).apply(...) when there is a callable that returns different columns (GH15169) + Bug in DataFrame.resample(...) when there is a time change (DST) and resampling frequecy is 12h or higher (GH15549) + Bug in pd.DataFrameGroupBy.count() when counting over a datetimelike column (GH13393) + Bug in rolling.var where calculation is inaccurate with a zero-valued array (GH18430) * Reshaping + Error message in pd.merge_asof() for key datatype mismatch now includes datatype of left and right key (GH18068) + Bug in pd.concat when empty and non-empty DataFrames or Series are concatenated (GH18178 GH18187) + Bug in DataFrame.filter(...) when unicode is passed as a condition in Python 2 (GH13101) + Bug when merging empty DataFrames when np.seterr(divide='raise') is set (GH17776) * Numeric + Bug in pd.Series.rolling.skew() and rolling.kurt() with all equal values has floating issue (GH18044) + Bug in TimedeltaIndex subtraction could incorrectly overflow when NaT is present (GH17791) + Bug in DatetimeIndex subtracting datetimelike from DatetimeIndex could fail to overflow (GH18020) * Categorical + Bug in DataFrame.astype() where casting to ‘category’ on an empty DataFrame causes a segmentation fault (GH18004) + Error messages in the testing module have been improved when items have different CategoricalDtype (GH18069) + CategoricalIndex can now correctly take a pd.api.types.CategoricalDtype as its dtype (GH18116) + Bug in Categorical.unique() returning read-only codes array when all categories were NaN (GH18051) + Bug in DataFrame.groupby(axis=1) with a CategoricalIndex (GH18432) * String + Series.str.split() will now propogate NaN values across all expanded columns instead of None (GH18450) ------------------------------------------------------------------- Mon Oct 30 06:05:48 UTC 2017 - arun@gmx.de - specfile: * updated minimum numpy version to 1.9.0 (see setup.py) - update to version 0.21.0: * Highlights include: + Integration with Apache Parquet, including a new top-level read_parquet() function and DataFrame.to_parquet() method, see here. + New user-facing pandas.api.types.CategoricalDtype for specifying categoricals independent of the data, see here. + The behavior of sum and prod on all-NaN Series/DataFrames is now consistent and no longer depends on whether bottleneck is installed, see here. + Compatibility fixes for pypy, see here. + Additions to the drop, reindex and rename API to make them more consistent, see here. + Addition of the new methods DataFrame.infer_objects (see here) and GroupBy.pipe (see here). + Indexing with a list of labels, where one or more of the labels is missing, is deprecated and will raise a KeyError in a future version, see here. * full list at http://pandas.pydata.org/pandas-docs/stable/whatsnew.html ------------------------------------------------------------------- Sat Sep 23 21:12:48 UTC 2017 - arun@gmx.de - update to version 0.20.3: * bug fix release, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-20-3-july-7-2017 for complete changelog - changes from version 0.20.2: * bug fix release, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-20-2-june-4-2017 for complete changelog ------------------------------------------------------------------- Tue May 30 17:08:33 UTC 2017 - toddrme2178@gmail.com - Fix documentation BuildRequires. ------------------------------------------------------------------- Thu May 18 01:07:08 UTC 2017 - toddrme2178@gmail.com - Update to version 0.20.1 Highlights include: * New ``.agg()`` API for Series/DataFrame similar to the groupby-rolling-resample API's * Integration with the ``feather-format``, including a new top-level ``pd.read_feather()`` and ``DataFrame.to_feather()`` method * The ``.ix`` indexer has been deprecated * ``Panel`` has been deprecated * Addition of an ``IntervalIndex`` and ``Interval`` scalar type * Improved user API when grouping by index levels in ``.groupby()`` * Improved support for ``UInt64`` dtypes * A new orient for JSON serialization, ``orient='table'``, that uses the Table Schema spec and that gives the possibility for a more interactive repr in the Jupyter Notebook * Experimental support for exporting styled DataFrames (``DataFrame.style``) to Excel * Window binary corr/cov operations now return a MultiIndexed ``DataFrame`` rather than a ``Panel``, as ``Panel`` is now deprecated * Support for S3 handling now uses ``s3fs`` * Google BigQuery support now uses the ``pandas-gbq`` library ------------------------------------------------------------------- Tue Apr 25 18:39:03 UTC 2017 - toddrme2178@gmail.com - Implement single-spec version. ------------------------------------------------------------------- Thu Mar 30 15:00:41 UTC 2017 - toddrme2178@gmail.com - update to version 0.19.2: * Enhancements The pd.merge_asof(), added in 0.19.0, gained some improvements: + pd.merge_asof() gained left_index/right_index and left_by/right_by arguments (GH14253) + pd.merge_asof() can take multiple columns in by parameter and has specialized dtypes for better performace (GH13936) * Performance Improvements + Performance regression with PeriodIndex (GH14822) + Performance regression in indexing with getitem (GH14930) + Improved performance of .replace() (GH12745) + Improved performance Series creation with a datetime index and dictionary data (GH14894) * Bug Fixes + Compat with python 3.6 for pickling of some offsets (GH14685) + Compat with python 3.6 for some indexing exception types (GH14684, GH14689) + Compat with python 3.6 for deprecation warnings in the test suite (GH14681) + Compat with python 3.6 for Timestamp pickles (GH14689) + Compat with dateutil==2.6.0; segfault reported in the testing suite (GH14621) + Allow nanoseconds in Timestamp.replace as a kwarg (GH14621) + Bug in pd.read_csv in which aliasing was being done for na_values when passed in as a dictionary (GH14203) + Bug in pd.read_csv in which column indices for a dict-like na_values were not being respected (GH14203) + Bug in pd.read_csv where reading files fails, if the number of headers is equal to the number of lines in the file (GH14515) + Bug in pd.read_csv for the Python engine in which an unhelpful error message was being raised when multi-char delimiters were not being respected with quotes (GH14582) + Fix bugs (GH14734, GH13654) in pd.read_sas and pandas.io.sas.sas7bdat.SAS7BDATReader that caused problems when reading a SAS file incrementally. + 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) ------------------------------------------------------------------- Mon Mar 27 19:12:32 UTC 2017 - toddrme2178@gmail.com - Fix documentation building ------------------------------------------------------------------- Sun Oct 23 01:32:23 UTC 2016 - toddrme2178@gmail.com - update to version 0.19.0: (long changelog, see http://pandas.pydata.org/pandas-docs/stable/whatsnew.html#v0-19-0-october-2-2016) * Highlights include: + merge_asof() for asof-style time-series joining + .rolling() is now time-series aware + read_csv() now supports parsing Categorical data + A function union_categorical() has been added for combining categoricals + PeriodIndex now has its own period dtype, and changed to be more consistent with other Index classes + Sparse data structures gained enhanced support of int and bool dtypes + Comparison operations with Series no longer ignores the index, see here for an overview of the API changes. + Introduction of a pandas development API for utility functions + Deprecation of Panel4D and PanelND. We recommend to represent these types of n-dimensional data with the xarray package. + Removal of the previously deprecated modules pandas.io.data, pandas.io.wb, pandas.tools.rplot. - specfile: * require python3-Cython * Split documentation into own subpackage to speed up build. * Remove buildrequires for optional dependencies to speed up build. - Remove unneeded patches: * 0001_disable_experimental_msgpack_big_endian.patch ^ * 0001_respect_byteorder_in_statareader.patch
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