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Upgrade to release 1.3.0: - Custom HTTP(s) headers when reading csv or json files - Read and write XML documents - Styler enhancements - DataFrame constructor honors copy=False with dict - PyArrow backed string data type - Centered datetime-like rolling windows - Bug fix: Categorical.unique now always maintains same dtype as original - Bug fix: preserve dtypes in DataFrame.combine_first() - Bug fix: Groupby methods agg and transform no longer changes return dtype for callables - Bug fix: Consistent casting with setting into Boolean Series - Bug fix: GroupBy.rolling with MultiIndex no longer drops levels in the result License-Update: Update license year 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] = "c554e6c9cf2d5ea1aba5979cc837b3649539ced0e18ece186f055450c86622e2"
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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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