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3660967a91
Upgrade to release 1.3.2: - Performance regression in DataFrame.isin() and Series.isin() for nullable data types - Regression in updating values of Series using boolean index, created by using DataFrame.pop() - Regression in DataFrame.from_records() with empty records - Fixed regression in DataFrame.shift() where TypeError occurred when shifting DataFrame created by concatenation of slices and fills with values - Regression in DataFrame.agg() when the func argument returned lists and axis=1 - Regression in DataFrame.drop() does nothing if MultiIndex has duplicates and indexer is a tuple or list of tuples - Fixed regression where read_csv() raised a ValueError when parameters names and prefix were both set to None - Fixed regression in comparisons between Timestamp object and datetime64 objects outside the implementation bounds for nanosecond datetime64 - Fixed regression in Styler.highlight_min() and Styler.highlight_max() where pandas.NA was not successfully ignored - Fixed regression in concat() where copy=False was not honored in axis=1 Series concatenation - Regression in Series.nlargest() and Series.nsmallest() with nullable integer or float dtype - Fixed regression in Series.quantile() with Int64Dtype - Bug in read_excel() modifies the dtypes dictionary when reading a file with duplicate columns - 1D slices over extension types turn into N-dimensional slices over ExtensionArrays - 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 - Styler.hide_columns() now hides the index name header row as well as column headers - Styler.set_sticky() has amended CSS to control the column/index names and ensure the correct sticky positions - Bug in de-serializing datetime indexes in PYTHONOPTIMIZED mode Signed-off-by: Leon Anavi <leon.anavi@konsulko.com> Signed-off-by: Khem Raj <raj.khem@gmail.com> Signed-off-by: Trevor Gamblin <trevor.gamblin@windriver.com>
27 lines
843 B
BlitzBasic
27 lines
843 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=3f23c5c092b74d245d48eeef72bc3fd2"
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SRC_URI[sha256sum] = "cbcb84d63867af3411fa063af3de64902665bb5b3d40b25b2059e40603594e87"
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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}-dateutil-zoneinfo \
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${PYTHON_PN}-pytz \
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${PYTHON_PN}-profile \
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"
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