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python3-pandas: Upgrade 1.4.0 -> 1.4.1
Upgrade to release 1.4.1: - Regression in Series.mask() with inplace=True and PeriodDtype and an incompatible other coercing to a common dtype instead of raising - Regression in assert_frame_equal() not respecting check_flags=False - Regression in DataFrame.loc() raising ValueError when indexing (getting values) on a MultiIndex with one level - Regression in Series.fillna() with downcast=False incorrectly downcasting object dtype - Regression in api.types.is_bool_dtype() raising an AttributeError when evaluating a categorical Series - Regression in DataFrame.iat() setting values leading to not propagating correctly in subsequent lookups - Regression when setting values with DataFrame.loc() losing Index name if DataFrame was empty before - Regression in join() with overlapping IntervalIndex raising an InvalidIndexError - Regression when setting values with Series.loc() raising with all False indexer and Series on the right hand side - Regression in read_sql() with a DBAPI2 connection that is not an instance of sqlite3.Connection incorrectly requiring SQLAlchemy be installed - Regression in DateOffset when constructing with an integer argument with no keywords (e.g. pd.DateOffset(n)) would behave like datetime.timedelta(days=0) - Fixed segfault in DataFrame.to_json() when dumping tz-aware datetimes in Python 3.10 - Stopped emitting unnecessary FutureWarning in DataFrame.sort_values() with sparse columns - Fixed window aggregations in DataFrame.rolling() and Series.rolling() to skip over unused elements - Fixed builtin highlighters in Styler to be responsive to NA with nullable dtypes - Bug in apply() with axis=1 raising an erroneous ValueError - Reverted performance speedup of DataFrame.corr() for method=pearson to fix precision regression 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>
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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] = "8db93ec98ac7cb5f8ac1420c10f5e3c43533153f253fe7fb6d891cf5aa2b80d2"
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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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