Accepting request 616619 from devel:languages:python

OBS-URL: https://build.opensuse.org/request/show/616619
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=12

pandas-0.23.0.tar.gz

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-oid sha256:84ab1d50590cb2d9554211f164dc1b1a216bc94da2ba922aed2690c83f248fd9
-size 13092442

pandas-0.23.1.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50b52af2af2e15f4aeb2fe196da073a8c131fa02e433e105d95ce40016df5690
+size 13108845

python-pandas.changes

@@ -1,3 +1,55 @@
+-------------------------------------------------------------------
+Wed Jun 13 17:45:54 UTC 2018 - toddrme2178@gmail.com
+
+- 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)
+
+
+
 -------------------------------------------------------------------
 Mon May 21 17:50:23 UTC 2018 - toddrme2178@gmail.com
 

python-pandas.spec

@@ -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