diff --git a/pandas-1.3.1.tar.gz b/pandas-1.3.1.tar.gz deleted file mode 100644 index 0659b4c..0000000 --- a/pandas-1.3.1.tar.gz +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:341935a594db24f3ff07d1b34d1d231786aa9adfa84b76eab10bf42907c8aed3 -size 4724471 diff --git a/pandas-1.3.3.tar.gz b/pandas-1.3.3.tar.gz new file mode 100644 index 0000000..e6ad04a --- /dev/null +++ b/pandas-1.3.3.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:272c8cb14aa9793eada6b1ebe81994616e647b5892a370c7135efb2924b701df +size 4730758 diff --git a/python-pandas.changes b/python-pandas.changes index 404407a..4f24213 100644 --- a/python-pandas.changes +++ b/python-pandas.changes @@ -1,3 +1,98 @@ +------------------------------------------------------------------- +Mon Sep 20 18:28:29 UTC 2021 - Ben Greiner + +- Update to version 1.3.3 + * Fixed regression in DataFrame constructor failing to broadcast + for defined Index and len one list of Timestamp (GH42810) + * Fixed regression in GroupBy.agg() incorrectly raising in some + cases (GH42390) + * Fixed regression in GroupBy.apply() where nan values were + dropped even with dropna=False (GH43205) + * Fixed regression in GroupBy.quantile() which was failing with + pandas.NA (GH42849) + * Fixed regression in merge() where on columns with + ExtensionDtype or bool data types were cast to object in right + and outer merge (GH40073) + * Fixed regression in RangeIndex.where() and RangeIndex.putmask() + raising AssertionError when result did not represent a + RangeIndex (GH43240) + * Fixed regression in read_parquet() where the fastparquet engine + would not work properly with fastparquet 0.7.0 (GH43075) + * Fixed regression in DataFrame.loc.__setitem__() raising + ValueError when setting array as cell value (GH43422) + * Fixed regression in is_list_like() where objects with __iter__ + set to None would be identified as iterable (GH43373) + * Fixed regression in DataFrame.__getitem__() raising error for + slice of DatetimeIndex when index is non monotonic (GH43223) + * Fixed regression in Resampler.aggregate() when used after + column selection would raise if func is a list of aggregation + functions (GH42905) + * Fixed regression in DataFrame.corr() where Kendall correlation + would produce incorrect results for columns with repeated + values (GH43401) + * Fixed regression in DataFrame.groupby() where aggregation on + columns with object types dropped results on those columns + (GH42395, GH43108) + * Fixed regression in Series.fillna() raising TypeError when + filling float Series with list-like fill value having a dtype + which couldn’t cast lostlessly (like float32 filled with + float64) (GH43424) + * Fixed regression in read_csv() raising AttributeError when the + file handle is an tempfile.SpooledTemporaryFile object + (GH43439) + * Fixed performance regression in core.window.ewm. + ExponentialMovingWindow.mean() (GH42333) + * Performance improvement for DataFrame.__setitem__() when the + key or value is not a DataFrame, or key is not list-like + (GH43274) + * Fixed bug in DataFrameGroupBy.agg() and DataFrameGroupBy. + transform() with engine="numba" where index data was not being + correctly passed into func (GH43133) +- Release 1.3.2 + * Performance regression in DataFrame.isin() and Series.isin() + for nullable data types (GH42714) + * Regression in updating values of Series using boolean index, + created by using DataFrame.pop() (GH42530) + * Regression in DataFrame.from_records() with empty records + (GH42456) + * Fixed regression in DataFrame.shift() where TypeError occurred + when shifting DataFrame created by concatenation of slices and + fills with values (GH42719) + * Regression in DataFrame.agg() when the func argument returned + lists and axis=1 (GH42727) + * Regression in DataFrame.drop() does nothing if MultiIndex has + duplicates and indexer is a tuple or list of tuples (GH42771) + * Fixed regression where read_csv() raised a ValueError when + parameters names and prefix were both set to None (GH42387) + * Fixed regression in comparisons between Timestamp object and + datetime64 objects outside the implementation bounds for + nanosecond datetime64 (GH42794) + * Fixed regression in Styler.highlight_min() and Styler. + highlight_max() where pandas.NA was not successfully ignored + (GH42650) + * Fixed regression in concat() where copy=False was not honored + in axis=1 Series concatenation (GH42501) + * Regression in Series.nlargest() and Series.nsmallest() with + nullable integer or float dtype (GH42816) + * Fixed regression in Series.quantile() with Int64Dtype (GH42626) + * Fixed regression in Series.groupby() and DataFrame.groupby() + where supplying the by argument with a Series named with a + tuple would incorrectly raise (GH42731) + * Bug in read_excel() modifies the dtypes dictionary when reading + a file with duplicate columns (GH42462) + * 1D slices over extension types turn into N-dimensional slices + over ExtensionArrays (GH42430) + * Fixed bug in Series.rolling() and DataFrame.rolling() not + calculating window bounds correctly for the first row when + center=True and window is an offset that covers all the rows + (GH42753) + * Styler.hide_columns() now hides the index name header row as + well as column headers (GH42101) + * Styler.set_sticky() has amended CSS to control the column/index + names and ensure the correct sticky positions (GH42537) + * Bug in de-serializing datetime indexes in PYTHONOPTIMIZED mode + (GH42866) + ------------------------------------------------------------------- Tue Aug 17 09:09:49 UTC 2021 - Fabian Vogt diff --git a/python-pandas.spec b/python-pandas.spec index 8b736ad..ea5d60f 100644 --- a/python-pandas.spec +++ b/python-pandas.spec @@ -16,7 +16,7 @@ # -%{?!python_module:%define python_module() python-%{**} python3-%{**}} +%{?!python_module:%define python_module() python3-%{**}} %define skip_python2 1 %define skip_python36 1 %global flavor @BUILD_FLAVOR@%{nil} @@ -28,7 +28,7 @@ %bcond_with test %endif Name: python-pandas%{psuffix} -Version: 1.3.1 +Version: 1.3.3 Release: 0 Summary: Python data structures for data analysis, time series, and statistics License: BSD-3-Clause @@ -42,7 +42,7 @@ BuildRequires: %{python_module numpy >= 1.17.3} BuildRequires: %{python_module numpy-devel >= 1.16.5} BuildRequires: %{python_module python-dateutil >= 2.7.3} BuildRequires: %{python_module pytz >= 2017.3} -BuildRequires: %{python_module setuptools >= 38.6.0} +BuildRequires: %{python_module setuptools >= 51.0.0} BuildRequires: fdupes BuildRequires: gcc-c++ BuildRequires: python-rpm-macros @@ -192,7 +192,7 @@ xvfb-run pytest-%{$python_bin_suffix} -v -n 4 \ %license LICENSE %doc README.md RELEASE.md %{python_sitearch}/pandas/ -%{python_sitearch}/pandas-%{version}-py*.egg-info +%{python_sitearch}/pandas-%{version}*-info %endif %changelog