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Upgrade to release 1.2.1: - Fixed regression in to_csv() that created corrupted zip files when there were more rows than chunksize - Fixed regression in to_csv() opening codecs.StreamReaderWriter in binary mode instead of in text mode - Fixed regression in read_csv() and other read functions were the encoding error policy (errors) did not default to "replace" when no encoding was specified - Fixed regression in read_excel() with non-rawbyte file handles - Fixed regression in DataFrame.to_stata() not removing the created file when an error occured - Fixed regression in DataFrame.__setitem__ raising ValueError when expanding DataFrame and new column is from type "0 - name" - Fixed regression in setting with DataFrame.loc() raising ValueError when DataFrame has unsorted MultiIndex columns and indexer is a scalar - Fixed regression in setting with DataFrame.loc() raising KeyError with MultiIndex and list-like columns indexer enlarging DataFrame - Fixed regression in groupby() with Categorical grouping column not showing unused categories for grouped.indices - Fixed regression in GroupBy.sem() where the presence of non-numeric columns would cause an error instead of being dropped - Fixed regression in DataFrameGroupBy.diff() raising for int8 and int16 columns - Fixed regression in DataFrame.groupby() when aggregating an ExtensionDType that could fail for non-numeric values - Fixed regression in Rolling.skew() and Rolling.kurt() modifying the object inplace - Fixed regression in DataFrame.any() and DataFrame.all() not returning a result for tz-aware datetime64 columns - Fixed regression in DataFrame.apply() with axis=1 using str accessor in apply function - Fixed regression in DataFrame.replace() raising ValueError when DataFrame has dtype bytes - Fixed regression in Series.fillna() that raised RecursionError with datetime64[ns, UTC] dtype - Fixed regression in comparisons between NaT and datetime.date objects incorrectly returning True - Fixed regression in calling NumPy accumulate() ufuncs on DataFrames, e.g. np.maximum.accumulate(df) - Fixed regression in repr of float-like strings of an object dtype having trailing 0’s truncated after the decimal - Fixed regression that raised AttributeError with PyArrow versions [0.16.0, 1.0.0) - Fixed regression in pandas.testing.assert_frame_equal() raising TypeError with check_like=True when Index or columns have mixed dtype Signed-off-by: Leon Anavi <leon.anavi@konsulko.com> Acked-by: Trevor Gamblin <trevor.gamblin@windriver.com> Signed-off-by: Khem Raj <raj.khem@gmail.com>
25 lines
779 B
BlitzBasic
25 lines
779 B
BlitzBasic
SUMMARY = "pandas library for high-performance data analysis tools"
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DESCRIPTION = "pandas is an open source, BSD-licensed library providing \
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high-performance, easy-to-use data structures and data analysis tools for \
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the Python programming language."
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HOMEPAGE = "http://pandas.pydata.org/"
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LICENSE = "BSD-3-Clause"
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LIC_FILES_CHKSUM = "file://LICENSE;md5=c2a8f987b2ce77c368c6b3e1b5b10774"
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SRC_URI[sha256sum] = "5527c5475d955c0bc9689c56865aaa2a7b13c504d6c44f0aadbf57b565af5ebd"
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inherit pypi setuptools3
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DEPENDS += " \
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${PYTHON_PN}-numpy-native ${PYTHON_PN}-cython-native \
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"
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CFLAGS_append_toolchain-clang = " -Wno-error=deprecated-declarations"
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RDEPENDS_${PN} += " \
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${PYTHON_PN}-json \
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${PYTHON_PN}-numpy \
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${PYTHON_PN}-dateutil \
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${PYTHON_PN}-pytz \
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"
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