Accepting request 839658 from home:apersaud:branches:devel:languages:python:numeric
update to latest version OBS-URL: https://build.opensuse.org/request/show/839658 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-pandas?expand=0&rev=52
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version https://git-lfs.github.com/spec/v1
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oid sha256:b64ffd87a2cfd31b40acd4b92cb72ea9a52a48165aec4c140e78fd69c45d1444
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size 5220166
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version https://git-lfs.github.com/spec/v1
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oid sha256:babbeda2f83b0686c9ad38d93b10516e68cdcd5771007eb80a763e98aaf44613
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size 5224249
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-------------------------------------------------------------------
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Mon Oct 5 20:11:59 UTC 2020 - Arun Persaud <arun@gmx.de>
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- specfile:
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* updated cython version
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- update to version 1.1.3:
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* Development Changes
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+ The minimum version of Cython is now the most recent bug-fix
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version (0.29.21) (GH36296).
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* Fixed regressions
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+ Fixed regression in DataFrame.agg(), DataFrame.apply(),
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Series.agg(), and Series.apply() where internal suffix is
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exposed to the users when no relabelling is applied (GH36189)
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+ Fixed regression in IntegerArray unary plus and minus operations
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raising a TypeError (GH36063)
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+ Fixed regression when adding a timedelta_range() to a Timestamp
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raised a ValueError (GH35897)
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+ Fixed regression in Series.__getitem__() incorrectly raising
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when the input was a tuple (GH35534)
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+ Fixed regression in Series.__getitem__() incorrectly raising
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when the input was a frozenset (GH35747)
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+ Fixed regression in modulo of Index, Series and DataFrame using
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numexpr using C not Python semantics (GH36047, GH36526)
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+ Fixed regression in read_excel() with engine="odf" caused
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UnboundLocalError in some cases where cells had nested child
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nodes (GH36122, GH35802)
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+ Fixed regression in DataFrame.replace() inconsistent replace
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when using a float in the replace method (GH35376)
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+ Fixed regression in Series.loc() on a Series with a MultiIndex
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containing Timestamp raising InvalidIndexError (GH35858)
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+ Fixed regression in DataFrame and Series comparisons between
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numeric arrays and strings (GH35700, GH36377)
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+ Fixed regression in DataFrame.apply() with raw=True and
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user-function returning string (GH35940)
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+ Fixed regression when setting empty DataFrame column to a Series
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in preserving name of index in frame (GH36527)
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+ Fixed regression in Period incorrect value for ordinal over the
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maximum timestamp (GH36430)
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+ Fixed regression in read_table() raised ValueError when
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delim_whitespace was set to True (GH35958)
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+ Fixed regression in Series.dt.normalize() when normalizing
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pre-epoch dates the result was shifted one day (GH36294)
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* Bug fixes
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+ Bug in read_spss() where passing a pathlib.Path as path would
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raise a TypeError (GH33666)
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+ Bug in Series.str.startswith() and Series.str.endswith() with
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category dtype not propagating na parameter (GH36241)
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+ Bug in Series constructor where integer overflow would occur for
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sufficiently large scalar inputs when an index was provided
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(GH36291)
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+ Bug in DataFrame.sort_values() raising an AttributeError when
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sorting on a key that casts column to categorical dtype
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(GH36383)
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+ Bug in DataFrame.stack() raising a ValueError when stacking
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MultiIndex columns based on position when the levels had
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duplicate names (GH36353)
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+ Bug in Series.astype() showing too much precision when casting
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from np.float32 to string dtype (GH36451)
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+ Bug in Series.isin() and DataFrame.isin() when using NaN and a
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row length above 1,000,000 (GH22205)
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+ Bug in cut() raising a ValueError when passed a Series of labels
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with ordered=False (GH36603)
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* Other
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+ Reverted enhancement added in pandas-1.1.0 where
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timedelta_range() infers a frequency when passed start, stop,
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and periods (GH32377)
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Sat Sep 12 19:56:08 UTC 2020 - Arun Persaud <arun@gmx.de>
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Sat Sep 12 19:56:08 UTC 2020 - Arun Persaud <arun@gmx.de>
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@ -27,7 +27,7 @@
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%bcond_with test
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%bcond_with test
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%endif
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%endif
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Name: python-pandas%{psuffix}
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Name: python-pandas%{psuffix}
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Version: 1.1.2
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Version: 1.1.3
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Release: 0
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Release: 0
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Summary: Python data structures for data analysis, time series, and statistics
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Summary: Python data structures for data analysis, time series, and statistics
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License: BSD-3-Clause
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License: BSD-3-Clause
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