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28619bb56c
Upgrade to release 1.1.1: - 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 - Fixed regression in Series.truncate() when trying to truncate a single-element series - Fixed regression where DataFrame.to_numpy() would raise a RuntimeError for mixed dtypes when converting to str - Fixed regression where read_csv() would raise a ValueError when pandas.options.mode.use_inf_as_na was set to True - Fixed regression where pandas.testing.assert_series_equal() would raise an error when non-numeric dtypes were passed with check_exact=True - Fixed regression in .groupby(..).rolling(..) where column selection was ignored - Fixed regression where DataFrame.interpolate() would raise a TypeError when the DataFrame was empty - Fixed regression in DataFrame.shift() with axis=1 and heterogeneous dtypes - Fixed regression in DataFrame.diff() with read-only data - Fixed regression in .groupby(..).rolling(..) where a segfault would occur with center=True and an odd number of values - Fixed regression in DataFrame.apply() where functions that altered the input in-place only operated on a single row - Fixed regression in DataFrame.reset_index() would raise a ValueError on empty DataFrame with a MultiIndex with a datetime64 dtype level - Fixed regression where pandas.merge_asof() would raise a UnboundLocalError when left_index, right_index and tolerance were set - Fixed regression in .groupby(..).rolling(..) where a custom BaseIndexer would be ignored - Fixed regression in DataFrame.replace() and Series.replace() where compiled regular expressions would be ignored during replacement - Bug in Styler whereby cell_ids argument had no effect due to other recent changes - Bug in pandas.testing.assert_series_equal() and pandas.testing.assert_frame_equal() where extension dtypes were not ignored when check_dtypes was set to False - Bug in to_timedelta() fails when arg is a Series with Int64 dtype containing null values - Bug in .groupby(..).rolling(..) where passing closed with column selection would raise a ValueError - Bug in DataFrame constructor failing to raise ValueError in some cases when data and index have mismatched lengths 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>
26 lines
832 B
BlitzBasic
26 lines
832 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[md5sum] = "bb796b56c276ecea1a6a227010e9c56a"
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SRC_URI[sha256sum] = "53328284a7bb046e2e885fd1b8c078bd896d7fc4575b915d4936f54984a2ba67"
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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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