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BUG: fix DataFrame(data=[None, 1], dtype='timedelta64[ns]') raising ValueError Unit Tests #19729: Pull request #60081 synchronize by yuanx749
1h 0m 27s yuanx749:sequence_to_td64ns
yuanx749:sequence_to_td64ns
1h 0m 27s
BUG: fix DataFrame(data=[None, 1], dtype='timedelta64[ns]') raising ValueError Wheel builder #43525: Pull request #60081 synchronize by yuanx749
5s yuanx749:sequence_to_td64ns
yuanx749:sequence_to_td64ns
5s
BUG: fix DataFrame(data=[None, 1], dtype='timedelta64[ns]') raising ValueError Code Checks #44879: Pull request #60081 synchronize by yuanx749
20m 2s yuanx749:sequence_to_td64ns
yuanx749:sequence_to_td64ns
20m 2s
BUG: fix DataFrame(data=[None, 1], dtype='timedelta64[ns]') raising ValueError Package Checks #39757: Pull request #60081 synchronize by yuanx749
3s yuanx749:sequence_to_td64ns
yuanx749:sequence_to_td64ns
3s
BUG: fix DataFrame(data=[None, 1], dtype='timedelta64[ns]') raising ValueError Doc Build and Upload #45003: Pull request #60081 synchronize by yuanx749
26m 28s yuanx749:sequence_to_td64ns
yuanx749:sequence_to_td64ns
26m 28s
BUG: arithmetic can break equality-hash invariant for Timestamp during DST transition Comment Commands #22927: Issue comment #60084 (comment) created by vgauraha62
3s
3s
BUG: many dataframe operations broken when a column contains numpy structured array Comment Commands #22926: Issue comment #60108 (comment) created by digitalsignalperson
3s
3s
CodeQL CodeQL #819: Scheduled
18m 48s main
main
18m 48s
Stale PRs Stale PRs #1548: Scheduled
2m 31s main
main
2m 31s
Fix BUG: read_sql tries to convert blob/varbinary to string with pyarrow backend Comment Commands #22925: Issue comment #60105 (comment) created by kastkeepitjumpinlikekangaroos
3s
3s
BUG: arithmetic can break equality-hash invariant for Timestamp during DST transition Comment Commands #22924: Issue comment #60084 (comment) created by rhshadrach
3s
3s
BUG: arithmetic can break equality-hash invariant for Timestamp during DST transition Comment Commands #22923: Issue comment #60084 (comment) created by Kxnr
3s
3s
Fix BUG: read_sql tries to convert blob/varbinary to string with pyarrow backend Doc Build and Upload #45002: Pull request #60105 synchronize by kastkeepitjumpinlikekangaroos
26m 30s kastkeepitjumpinlikekangaroos:fix-59242
kastkeepitjumpinlikekangaroos:fix-59242
26m 30s
Fix BUG: read_sql tries to convert blob/varbinary to string with pyarrow backend Unit Tests #19728: Pull request #60105 synchronize by kastkeepitjumpinlikekangaroos
59m 53s kastkeepitjumpinlikekangaroos:fix-59242
kastkeepitjumpinlikekangaroos:fix-59242
59m 53s
Fix BUG: read_sql tries to convert blob/varbinary to string with pyarrow backend Code Checks #44878: Pull request #60105 synchronize by kastkeepitjumpinlikekangaroos
20m 33s kastkeepitjumpinlikekangaroos:fix-59242
kastkeepitjumpinlikekangaroos:fix-59242
20m 33s
Fix BUG: read_sql tries to convert blob/varbinary to string with pyarrow backend Package Checks #39756: Pull request #60105 synchronize by kastkeepitjumpinlikekangaroos
4s kastkeepitjumpinlikekangaroos:fix-59242
kastkeepitjumpinlikekangaroos:fix-59242
4s
Fix BUG: read_sql tries to convert blob/varbinary to string with pyarrow backend Wheel builder #43524: Pull request #60105 synchronize by kastkeepitjumpinlikekangaroos
7s kastkeepitjumpinlikekangaroos:fix-59242
kastkeepitjumpinlikekangaroos:fix-59242
7s
BUG: select_dtypes does not work properly with numpy.ndarray Comment Commands #22922: Issue comment #60092 (comment) created by rhshadrach
3s
3s
BUG: select_dtypes does not work properly with numpy.ndarray Comment Commands #22921: Issue comment #60092 (comment) created by rhshadrach
3s
3s
BUG: isna() does not catch np.NaN when datatype is Float64 Comment Commands #22920: Issue comment #60106 (comment) created by rhshadrach
3s
3s
BUG: isna() does not catch np.NaN when datatype is Float64 Comment Commands #22919: Issue comment #60106 (comment) created by jbrockmendel
3s
3s
BUG: select_dtypes does not work properly with numpy.ndarray Comment Commands #22918: Issue comment #60092 (comment) created by fjossandon
3s
3s
BUG: isna() does not catch np.NaN when datatype is Float64 Comment Commands #22917: Issue comment #60106 (comment) created by asishm
3s
3s
BUG: Merging on two non-monotonic np.intc arrays fails Comment Commands #22916: Issue comment #60091 (comment) created by tehunter
3s
3s
QST: Why is it necessary to not allow include_groups=True in future versions for groupby(...).apply(...) operations? Comment Commands #22915: Issue comment #60087 (comment) created by rhshadrach
3s
3s
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