Accepting request 832629 from devel:languages:python:numeric
- specfile:
* updated versions of some requirements, require numpy during build
* removed pandas-pr34991-npconstructor.patch, included upstream
* removed sed commands that are not needed anymore
* skip test to see if pandas is installed
- update to version 1.1.1:
* Fixed regressions
+ Fixed regression in CategoricalIndex.format() where, when
stringified scalars had different lengths, the shorter string
would be right-filled with spaces, so it had the same length as
the longest string (GH35439)
+ Fixed regression in Series.truncate() when trying to truncate a
single-element series (GH35544)
+ Fixed regression where DataFrame.to_numpy() would raise a
RuntimeError for mixed dtypes when converting to str (GH35455)
+ Fixed regression where read_csv() would raise a ValueError when
pandas.options.mode.use_inf_as_na was set to True (GH35493)
+ Fixed regression where pandas.testing.assert_series_equal()
would raise an error when non-numeric dtypes were passed with
check_exact=True (GH35446)
+ Fixed regression in .groupby(..).rolling(..) where column
selection was ignored (GH35486)
+ Fixed regression where DataFrame.interpolate() would raise a
TypeError when the DataFrame was empty (GH35598)
+ Fixed regression in DataFrame.shift() with axis=1 and
heterogeneous dtypes (GH35488)
+ Fixed regression in DataFrame.diff() with read-only data
(GH35559)
+ Fixed regression in .groupby(..).rolling(..) where a segfault
would occur with center=True and an odd number of values
OBS-URL: https://build.opensuse.org/request/show/832629
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-pandas?expand=0&rev=29
This commit is contained in:
Git OBS Bridge
@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:69c5d920a0b2a9838e677f78f4dde506b95ea8e4d30da25859db6469ded84fa8
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size 5007108
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3
pandas-1.1.1.tar.gz
Normal file
3
pandas-1.1.1.tar.gz
Normal file
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:53328284a7bb046e2e885fd1b8c078bd896d7fc4575b915d4936f54984a2ba67
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size 5213685
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@@ -1,78 +0,0 @@
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Index: pandas-1.0.5/pandas/core/internals/construction.py
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===================================================================
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--- pandas-1.0.5.orig/pandas/core/internals/construction.py
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+++ pandas-1.0.5/pandas/core/internals/construction.py
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@@ -292,7 +292,7 @@ def prep_ndarray(values, copy=True) -> n
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if values.ndim == 1:
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values = values.reshape((values.shape[0], 1))
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elif values.ndim != 2:
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- raise ValueError("Must pass 2-d input")
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+ raise ValueError(f"Must pass 2-d input. shape={values.shape}")
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return values
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Index: pandas-1.0.5/pandas/tests/frame/test_constructors.py
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===================================================================
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--- pandas-1.0.5.orig/pandas/tests/frame/test_constructors.py
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+++ pandas-1.0.5/pandas/tests/frame/test_constructors.py
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@@ -9,7 +9,7 @@ import numpy.ma.mrecords as mrecords
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import pytest
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from pandas.compat import is_platform_little_endian
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-from pandas.compat.numpy import _is_numpy_dev
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+from pandas.compat.numpy import _np_version_under1p19
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from pandas.core.dtypes.common import is_integer_dtype
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@@ -145,14 +145,20 @@ class TestDataFrameConstructors:
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assert df.loc[1, 0] is None
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assert df.loc[0, 1] == "2"
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- @pytest.mark.xfail(_is_numpy_dev, reason="Interprets list of frame as 3D")
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- def test_constructor_list_frames(self):
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- # see gh-3243
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- result = DataFrame([DataFrame()])
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- assert result.shape == (1, 0)
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-
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- result = DataFrame([DataFrame(dict(A=np.arange(5)))])
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- assert isinstance(result.iloc[0, 0], DataFrame)
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+ @pytest.mark.skipif(_np_version_under1p19, reason="NumPy change.")
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+ def test_constructor_list_of_2d_raises(self):
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+ # https://github.com/pandas-dev/pandas/issues/32289
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+ a = pd.DataFrame()
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+ b = np.empty((0, 0))
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+ with pytest.raises(ValueError, match=r"shape=\(1, 0, 0\)"):
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+ pd.DataFrame([a])
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+
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+ with pytest.raises(ValueError, match=r"shape=\(1, 0, 0\)"):
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+ pd.DataFrame([b])
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+
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+ a = pd.DataFrame({"A": [1, 2]})
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+ with pytest.raises(ValueError, match=r"shape=\(2, 2, 1\)"):
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+ pd.DataFrame([a, a])
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def test_constructor_mixed_dtypes(self):
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def _make_mixed_dtypes_df(typ, ad=None):
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@@ -498,22 +504,6 @@ class TestDataFrameConstructors:
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with pytest.raises(ValueError, match=msg):
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DataFrame({"a": False, "b": True})
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- @pytest.mark.xfail(_is_numpy_dev, reason="Interprets embedded frame as 3D")
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- def test_constructor_with_embedded_frames(self):
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-
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- # embedded data frames
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- df1 = DataFrame({"a": [1, 2, 3], "b": [3, 4, 5]})
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- df2 = DataFrame([df1, df1 + 10])
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-
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- df2.dtypes
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- str(df2)
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-
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- result = df2.loc[0, 0]
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- tm.assert_frame_equal(result, df1)
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-
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- result = df2.loc[1, 0]
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- tm.assert_frame_equal(result, df1 + 10)
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-
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def test_constructor_subclass_dict(self, float_frame, dict_subclass):
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# Test for passing dict subclass to constructor
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data = {
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@@ -1,3 +1,89 @@
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-------------------------------------------------------------------
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Sat Sep 5 15:42:53 UTC 2020 - Arun Persaud <arun@gmx.de>
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- specfile:
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* updated versions of some requirements, require numpy during build
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* removed pandas-pr34991-npconstructor.patch, included upstream
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* removed sed commands that are not needed anymore
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* skip test to see if pandas is installed
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- update to version 1.1.1:
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* Fixed regressions
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+ Fixed regression in CategoricalIndex.format() where, when
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stringified scalars had different lengths, the shorter string
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would be right-filled with spaces, so it had the same length as
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the longest string (GH35439)
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+ Fixed regression in Series.truncate() when trying to truncate a
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single-element series (GH35544)
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+ Fixed regression where DataFrame.to_numpy() would raise a
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RuntimeError for mixed dtypes when converting to str (GH35455)
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+ Fixed regression where read_csv() would raise a ValueError when
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pandas.options.mode.use_inf_as_na was set to True (GH35493)
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+ Fixed regression where pandas.testing.assert_series_equal()
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would raise an error when non-numeric dtypes were passed with
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check_exact=True (GH35446)
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+ Fixed regression in .groupby(..).rolling(..) where column
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selection was ignored (GH35486)
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+ Fixed regression where DataFrame.interpolate() would raise a
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TypeError when the DataFrame was empty (GH35598)
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+ Fixed regression in DataFrame.shift() with axis=1 and
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heterogeneous dtypes (GH35488)
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+ Fixed regression in DataFrame.diff() with read-only data
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(GH35559)
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+ Fixed regression in .groupby(..).rolling(..) where a segfault
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would occur with center=True and an odd number of values
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(GH35552)
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+ Fixed regression in DataFrame.apply() where functions that
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altered the input in-place only operated on a single row
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(GH35462)
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+ Fixed regression in DataFrame.reset_index() would raise a
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ValueError on empty DataFrame with a MultiIndex with a
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datetime64 dtype level (GH35606, GH35657)
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+ Fixed regression where pandas.merge_asof() would raise a
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UnboundLocalError when left_index, right_index and tolerance
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were set (GH35558)
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+ Fixed regression in .groupby(..).rolling(..) where a custom
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BaseIndexer would be ignored (GH35557)
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+ Fixed regression in DataFrame.replace() and Series.replace()
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where compiled regular expressions would be ignored during
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replacement (GH35680)
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+ Fixed regression in aggregate() where a list of functions would
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produce the wrong results if at least one of the functions did
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not aggregate (GH35490)
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+ Fixed memory usage issue when instantiating large
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pandas.arrays.StringArray (GH35499)
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* Bug fixes
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+ Bug in Styler whereby cell_ids argument had no effect due to
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other recent changes (GH35588) (GH35663)
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+ Bug in pandas.testing.assert_series_equal() and
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pandas.testing.assert_frame_equal() where extension dtypes were
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not ignored when check_dtypes was set to False (GH35715)
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+ Bug in to_timedelta() fails when arg is a Series with Int64
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dtype containing null values (GH35574)
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+ Bug in .groupby(..).rolling(..) where passing closed with column
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selection would raise a ValueError (GH35549)
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+ Bug in DataFrame constructor failing to raise ValueError in some
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cases when data and index have mismatched lengths (GH33437)
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- changes from version 1.1.0:
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* Enhancements
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+ KeyErrors raised by loc specify missing labels
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+ All dtypes can now be converted to "StringDtype"
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+ Non-monotonic PeriodIndex Partial String Slicing
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+ Comparing two `DataFrame` or two `Series` and summarizing the
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differences
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+ Allow NA in groupby key
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+ Sorting with keys
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+ Fold argument support in Timestamp constructor
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+ Parsing timezone-aware format with different timezones in
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to_datetime
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+ Grouper and resample now supports the arguments origin and
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offset
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+ fsspec now used for filesystem handling
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* see
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https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.1.0.html
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for complete list
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-------------------------------------------------------------------
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Wed Jul 22 10:04:49 UTC 2020 - Benjamin Greiner <code@bnavigator.de>
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@@ -27,7 +27,7 @@
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%bcond_with test
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%endif
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Name: python-pandas%{psuffix}
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Version: 1.0.5
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Version: 1.1.1
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Release: 0
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Summary: Python data structures for data analysis, time series, and statistics
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License: BSD-3-Clause
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@@ -35,13 +35,12 @@ Group: Development/Libraries/Python
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URL: https://pandas.pydata.org/
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Source0: https://files.pythonhosted.org/packages/source/p/pandas/pandas-%{version}.tar.gz
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Source99: pandas-pytest.ini
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# PATCH-FIX-UPSTREAM gh#pandas-dev/pandas#34991
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Patch0: pandas-pr34991-npconstructor.patch
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BuildRequires: %{python_module Cython >= 0.28.2}
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# test requirements
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BuildRequires: %{python_module Jinja2}
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy-devel >= 1.13.3}
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BuildRequires: %{python_module numpy >= 1.15.4}
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BuildRequires: %{python_module numpy-devel >= 1.15.4}
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BuildRequires: %{python_module openpyxl}
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BuildRequires: %{python_module pyperclip}
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BuildRequires: %{python_module setuptools >= 24.2.0}
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@@ -49,8 +48,8 @@ BuildRequires: fdupes
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BuildRequires: gcc-c++
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BuildRequires: python-rpm-macros
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Requires: python-Cython >= 0.28.2
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Requires: python-numpy >= 1.13.3
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Requires: python-python-dateutil >= 2.6.1
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Requires: python-numpy >= 1.15.4
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Requires: python-python-dateutil >= 2.7.3
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Requires: python-pytz >= 2015.4
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Recommends: python-Bottleneck >= 1.2.1
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Recommends: python-Jinja2
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@@ -61,20 +60,20 @@ Recommends: python-XlsxWriter >= 0.9.8
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Recommends: python-beautifulsoup4 >= 4.6.0
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Recommends: python-blosc
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Recommends: python-fastparquet >= 0.2.1
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Recommends: python-gcsfs >= 0.2.2
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Recommends: python-gcsfs >= 0.6.0
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Recommends: python-html5lib
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Recommends: python-lxml >= 3.8.0
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Recommends: python-matplotlib >= 2.2.2
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Recommends: python-numexpr >= 2.6.2
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Recommends: python-openpyxl >= 2.4.8
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Recommends: python-pandas-gbq >= 0.8.0
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Recommends: python-pandas-gbq >= 1.2.0
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Recommends: python-psycopg2
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Recommends: python-pyarrow >= 0.9.0
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Recommends: python-pyperclip
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Recommends: python-pyreadstat
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Recommends: python-qt5
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Recommends: python-scipy >= 0.19.0
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Recommends: python-tables >= 3.4.2
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Recommends: python-scipy >= 1.2.0
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Recommends: python-tables >= 3.4.3
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Recommends: python-xarray >= 0.8.2
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Recommends: python-xlrd >= 1.1.0
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Recommends: python-xlwt >= 1.2.0
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@@ -94,7 +93,7 @@ BuildRequires: %{python_module pandas = %{version}}
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BuildRequires: %{python_module pytest >= 4.0.2}
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BuildRequires: %{python_module pytest-mock}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module python-dateutil >= 2.6.1}
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BuildRequires: %{python_module python-dateutil >= 2.7.3}
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BuildRequires: %{python_module pytz >= 2015.4}
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BuildRequires: %{python_module xlrd >= 1.1.0}
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BuildRequires: %{python_module xlwt >= 1.2.0}
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@@ -111,11 +110,6 @@ block for doing data analysis in Python.
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%prep
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%if !%{with test}
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%setup -q -n pandas-%{version}
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sed -i -e 's/\r//g' pandas/tests/reshape/merge/test_merge.py
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%patch0 -p1
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sed -i -e '/^#!\//, 1d' pandas/core/computation/eval.py
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sed -i -e '/^#!\//, 1d' pandas/tests/io/generate_legacy_storage_files.py
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sed -i -e '/^#!\//, 1d' pandas/tests/plotting/common.py
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%endif
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%build
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@@ -130,7 +124,7 @@ export CFLAGS="%{optflags} -fno-strict-aliasing"
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%{python_expand sed -i -e 's|"python", "-c",|"%{__$python}", "-c",|' %{buildroot}%{$python_sitearch}/pandas/tests/io/test_compression.py
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%fdupes %{buildroot}%{$python_sitearch}
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# can be removed for pandas >= 1.1 https://github.com/pandas-dev/pandas/pull/35146
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install %SOURCE99 %{buildroot}%{$python_sitearch}/pandas/pytest.ini
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install %{SOURCE99} %{buildroot}%{$python_sitearch}/pandas/pytest.ini
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}
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%endif
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@@ -146,6 +140,8 @@ export PYTHONDONTWRITEBYTECODE=1
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export PYTHONHASHSEED=1
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# tries to compile stuff in buildroot test_oo_optimizable
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SKIP_TESTS+=" or test_oo_optimizable"
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# tries to import system pandas, not the freshly build on
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SKIP_TESTS+=" or test_missing_required_dependency"
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%ifarch %{ix86}
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# https://github.com/pandas-dev/pandas/issues/29712
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SKIP_TESTS+=" or test_raw_roundtrip"
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