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https://travis-ci.org/pandas-dev/pandas/builds/599134469
looks like some issues on 3.8, 3.6 allowed failure builds (i know has been failing a while)
should address these before merging other changes.
cc @pandas-dev/pandas-core
The text was updated successfully, but these errors were encountered:
Looks like a new difference between numpy 1.17 vs 1.18:
s = pd.Series( pd.to_datetime(["NaT", "2000-1-2", "NaT", "2000-1-1", "NaT", "2000-1-3"]) ) >>> np.minimum.accumulate(s.values) # numpy 1.17 array([ 'NaT', '2000-01-02T00:00:00.000000000', '2000-01-02T00:00:00.000000000', '2000-01-01T00:00:00.000000000', '2000-01-01T00:00:00.000000000', '2000-01-01T00:00:00.000000000'], dtype='datetime64[ns]') >>> np.accumulate.minimum(s.values) # numpy 1.18 array(['NaT', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT'], dtype='datetime64[ns]')
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numpy/numpy#14717
closed by #29057
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https://travis-ci.org/pandas-dev/pandas/builds/599134469
looks like some issues on 3.8, 3.6 allowed failure builds (i know has been failing a while)
should address these before merging other changes.
cc @pandas-dev/pandas-core
The text was updated successfully, but these errors were encountered: