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[Python][CI] Compatibility with pandas 2.0 #15070
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### What changes are included in this PR? - The issue with numpy 1.25 in the assert equal helper was fixed in pandas 1.5.3 -> removing the skip (in theory can still run into this error when using an older pandas version with the latest numpy, but that's not something you should do) - Casting tz-aware strings to datetime64[ns] was not fixed in pandas (pandas-dev/pandas#50140) -> updating our implementation to work around it - Casting to numpy string dtype (pandas-dev/pandas#50127) is not yet fixed -> updating the skip ### Are there any user-facing changes? No * Closes: #15070 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>
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…pe change in pandas 2.0.1
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[Python][CI] Remove temporary skips for pandas 2.0 development version
[Python][CI] Compatibility with pandas 2.0
Apr 11, 2023
kou
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…nge in pandas 2.0.1 (#35031) ### Rationale for this change Pandas changed the default dtype of the columns object for an empty DataFrame from object dtype to integer RangeIndex (see pandas-dev/pandas#52404). This updates our tests to pass with that change. * Closes: #15070 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Sutou Kouhei <kou@clear-code.com>
liujiacheng777
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…pe change in pandas 2.0.1 (apache#35031) ### Rationale for this change Pandas changed the default dtype of the columns object for an empty DataFrame from object dtype to integer RangeIndex (see pandas-dev/pandas#52404). This updates our tests to pass with that change. * Closes: apache#15070 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Sutou Kouhei <kou@clear-code.com>
ArgusLi
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) ### What changes are included in this PR? - The issue with numpy 1.25 in the assert equal helper was fixed in pandas 1.5.3 -> removing the skip (in theory can still run into this error when using an older pandas version with the latest numpy, but that's not something you should do) - Casting tz-aware strings to datetime64[ns] was not fixed in pandas (pandas-dev/pandas#50140) -> updating our implementation to work around it - Casting to numpy string dtype (pandas-dev/pandas#50127) is not yet fixed -> updating the skip ### Are there any user-facing changes? No * Closes: apache#15070 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>
ArgusLi
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…pe change in pandas 2.0.1 (apache#35031) ### Rationale for this change Pandas changed the default dtype of the columns object for an empty DataFrame from object dtype to integer RangeIndex (see pandas-dev/pandas#52404). This updates our tests to pass with that change. * Closes: apache#15070 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Sutou Kouhei <kou@clear-code.com>
rtpsw
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) ### What changes are included in this PR? - The issue with numpy 1.25 in the assert equal helper was fixed in pandas 1.5.3 -> removing the skip (in theory can still run into this error when using an older pandas version with the latest numpy, but that's not something you should do) - Casting tz-aware strings to datetime64[ns] was not fixed in pandas (pandas-dev/pandas#50140) -> updating our implementation to work around it - Casting to numpy string dtype (pandas-dev/pandas#50127) is not yet fixed -> updating the skip ### Are there any user-facing changes? No * Closes: apache#15070 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Joris Van den Bossche <jorisvandenbossche@gmail.com>
rtpsw
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…pe change in pandas 2.0.1 (apache#35031) ### Rationale for this change Pandas changed the default dtype of the columns object for an empty DataFrame from object dtype to integer RangeIndex (see pandas-dev/pandas#52404). This updates our tests to pass with that change. * Closes: apache#15070 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: Sutou Kouhei <kou@clear-code.com>
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#15048 added some skips for regressions in pandas main. Once those are fixed, we should remove the skips on our side.
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