meta-openembedded/meta-python/recipes-devtools/python/python3-pandas_1.1.2.bb
Leon Anavi 3430952804 python3-pandas: Upgrade 1.1.1 -> 1.1.2
Upgrade to release 1.1.2:

- Regression in DatetimeIndex.intersection() incorrectly raising
  AssertionError when intersecting against a list
- Fix regression in updating a column inplace
- Fix regression in DataFrame.append() mixing tz-aware and
  tz-naive datetime columns
- Performance regression for RangeIndex.format()
- Regression where MultiIndex.get_loc() would return a slice
  spanning the full index when passed an empty list
- Bug in DataFrame.eval() with object dtype column binary
  operations
- Bug in Series constructor raising a TypeError when constructing
  sparse datetime64 dtypes
- Bug in DataFrame.apply() with result_type="reduce" returning
  with incorrect index
- Bug in Series.astype() and DataFrame.astype() not respecting the
  errors argument when set to "ignore" for extension dtypes
- Bug in DateTimeIndex.format() and PeriodIndex.format() with
  name=True setting the first item to "None" where it should be ""
- Other bug fixes

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>
2020-09-15 09:28:35 -07:00

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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=c2a8f987b2ce77c368c6b3e1b5b10774"
SRC_URI[md5sum] = "b4ce7c64f549ed48b47877fc64281031"
SRC_URI[sha256sum] = "b64ffd87a2cfd31b40acd4b92cb72ea9a52a48165aec4c140e78fd69c45d1444"
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}-pytz \
"