Hello community, here is the log from the commit of package python-pandas for openSUSE:Factory checked in at 2018-06-19 11:59:26 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-pandas (Old) and /work/SRC/openSUSE:Factory/.python-pandas.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-pandas" Tue Jun 19 11:59:26 2018 rev:12 rq:616619 version:0.23.1 Changes: -------- --- /work/SRC/openSUSE:Factory/python-pandas/python-pandas.changes 2018-06-05 12:53:16.220849574 +0200 +++ /work/SRC/openSUSE:Factory/.python-pandas.new/python-pandas.changes 2018-06-19 11:59:29.407329212 +0200 @@ -1,0 +2,52 @@ +Wed Jun 13 17:45:54 UTC 2018 - [email protected] + +- Update to 0.23.1 + + Fixed Regressions + * Reverted change to comparing a Series holding datetimes and a datetime.date object + * Reverted the ability of to_sql() to perform multivalue inserts as this caused regression in certain cases (GH21103). In the future this will be made configurable. + * Fixed regression in the DatetimeIndex.date and DatetimeIndex.time attributes in case of timezone-aware data: DatetimeIndex.time returned a tz-aware time instead of tz-naive (GH21267) and DatetimeIndex.date returned incorrect date when the input date has a non-UTC timezone (GH21230). + * Fixed regression in pandas.io.json.json_normalize() when called with None values in nested levels in JSON, and to not drop keys with value as None (GH21158, GH21356). + * Bug in to_csv() causes encoding error when compression and encoding are specified (GH21241, GH21118) + * Bug preventing pandas from being importable with -OO optimization (GH21071) + * Bug in Categorical.fillna() incorrectly raising a TypeError when value the individual categories are iterable and value is an iterable (GH21097, GH19788) + * Fixed regression in constructors coercing NA values like None to strings when passing dtype=str (GH21083) + * Regression in pivot_table() where an ordered Categorical with missing values for the pivot’s index would give a mis-aligned result (GH21133) + * Fixed regression in merging on boolean index/columns (GH21119). + + Performance Improvements + * Improved performance of CategoricalIndex.is_monotonic_increasing(), CategoricalIndex.is_monotonic_decreasing() and CategoricalIndex.is_monotonic() (GH21025) + * Improved performance of CategoricalIndex.is_unique() (GH21107) + + Bug fixes + * Groupby/Resample/Rolling + > Bug in DataFrame.agg() where applying multiple aggregation functions to a DataFrame with duplicated column names would cause a stack overflow (GH21063) + > Bug in pandas.core.groupby.GroupBy.ffill() and pandas.core.groupby.GroupBy.bfill() where the fill within a grouping would not always be applied as intended due to the implementations’ use of a non-stable sort (GH21207) + > Bug in pandas.core.groupby.GroupBy.rank() where results did not scale to 100% when specifying method='dense' and pct=True + > Bug in pandas.DataFrame.rolling() and pandas.Series.rolling() which incorrectly accepted a 0 window size rather than raising (GH21286) + * Data-type specific + > Bug in Series.str.replace() where the method throws TypeError on Python 3.5.2 (:issue: 21078) + > Bug in Timedelta: where passing a float with a unit would prematurely round the float precision (:issue: 14156) + > Bug in pandas.testing.assert_index_equal() which raised AssertionError incorrectly, when comparing two CategoricalIndex objects with param check_categorical=False (GH19776) + * Sparse + > Bug in SparseArray.shape which previously only returned the shape SparseArray.sp_values (GH21126) + * Indexing + > Bug in Series.reset_index() where appropriate error was not raised with an invalid level name (GH20925) + > Bug in interval_range() when start/periods or end/periods are specified with float start or end (GH21161) + > Bug in MultiIndex.set_names() where error raised for a MultiIndex with nlevels == 1 (GH21149) + > Bug in IntervalIndex constructors where creating an IntervalIndex from categorical data was not fully supported (GH21243, issue:21253) + > Bug in MultiIndex.sort_index() which was not guaranteed to sort correctly with level=1; this was also causing data misalignment in particular DataFrame.stack() operations (GH20994, GH20945, GH21052) + * Plotting + > New keywords (sharex, sharey) to turn on/off sharing of x/y-axis by subplots generated with pandas.DataFrame().groupby().boxplot() (:issue: 20968) + * I/O + > Bug in IO methods specifying compression='zip' which produced uncompressed zip archives (GH17778, GH21144) + > Bug in DataFrame.to_stata() which prevented exporting DataFrames to buffers and most file-like objects (GH21041) + > Bug in read_stata() and StataReader which did not correctly decode utf-8 strings on Python 3 from Stata 14 files (dta version 118) (GH21244) + > Bug in IO JSON read_json() reading empty JSON schema with orient='table' back to DataFrame caused an error (GH21287) + * Reshaping + > Bug in concat() where error was raised in concatenating Series with numpy scalar and tuple names (GH21015) + > Bug in concat() warning message providing the wrong guidance for future behavior (GH21101) + * Other + > Tab completion on Index in IPython no longer outputs deprecation warnings (GH21125) + > Bug preventing pandas being used on Windows without C++ redistributable installed (GH21106) + + + +------------------------------------------------------------------- Old: ---- pandas-0.23.0.tar.gz New: ---- pandas-0.23.1.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-pandas.spec ++++++ --- /var/tmp/diff_new_pack.mHZuUN/_old 2018-06-19 11:59:30.511288223 +0200 +++ /var/tmp/diff_new_pack.mHZuUN/_new 2018-06-19 11:59:30.515288074 +0200 @@ -19,7 +19,7 @@ %{?!python_module:%define python_module() python-%{**} python3-%{**}} %define oldpython python Name: python-pandas -Version: 0.23.0 +Version: 0.23.1 Release: 0 Summary: Make working with "relational" or "labeled" data both easy and intuitive License: BSD-3-Clause ++++++ pandas-0.23.0.tar.gz -> pandas-0.23.1.tar.gz ++++++ /work/SRC/openSUSE:Factory/python-pandas/pandas-0.23.0.tar.gz /work/SRC/openSUSE:Factory/.python-pandas.new/pandas-0.23.1.tar.gz differ: char 6, line 1
