mirror of
https://github.com/openembedded/meta-openembedded.git
synced 2025-07-19 15:29:08 +02:00
91704ff653
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>
27 lines
843 B
BlitzBasic
27 lines
843 B
BlitzBasic
SUMMARY = "pandas library for high-performance data analysis tools"
|
|
DESCRIPTION = "pandas is an open source, BSD-licensed library providing \
|
|
high-performance, easy-to-use data structures and data analysis tools for \
|
|
the Python programming language."
|
|
HOMEPAGE = "http://pandas.pydata.org/"
|
|
LICENSE = "BSD-3-Clause"
|
|
LIC_FILES_CHKSUM = "file://LICENSE;md5=3f23c5c092b74d245d48eeef72bc3fd2"
|
|
|
|
SRC_URI[sha256sum] = "8db93ec98ac7cb5f8ac1420c10f5e3c43533153f253fe7fb6d891cf5aa2b80d2"
|
|
|
|
inherit pypi setuptools3
|
|
|
|
DEPENDS += " \
|
|
${PYTHON_PN}-numpy-native ${PYTHON_PN}-cython-native \
|
|
"
|
|
|
|
CFLAGS:append:toolchain-clang = " -Wno-error=deprecated-declarations"
|
|
|
|
RDEPENDS:${PN} += " \
|
|
${PYTHON_PN}-json \
|
|
${PYTHON_PN}-numpy \
|
|
${PYTHON_PN}-dateutil \
|
|
${PYTHON_PN}-dateutil-zoneinfo \
|
|
${PYTHON_PN}-pytz \
|
|
${PYTHON_PN}-profile \
|
|
"
|