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Inconsistent and incorrect datetime64 string representations when in structured array #5692
Description
datetime64 string representations are inconsistent when in structured arrays. When the value should be NaT, they are shows as None inside a structured array. The showing of timezones is also inconsistent, as the code snippet below shows.
In [196]: A = numpy.zeros(shape=10, dtype=[("A", "M8[s]")])
In [197]: A[5:].fill(numpy.nan)
In [198]: A
Out[198]:
array([(datetime.datetime(1970, 1, 1, 0, 0),),
(datetime.datetime(1970, 1, 1, 0, 0),),
(datetime.datetime(1970, 1, 1, 0, 0),),
(datetime.datetime(1970, 1, 1, 0, 0),),
(datetime.datetime(1970, 1, 1, 0, 0),), (None,), (None,), (None,),
(None,), (None,)],
dtype=[('A', '<M8[s]')])
In [199]: A["A"]
Out[199]:
array(['1969-12-31T19:00:00-0500', '1969-12-31T19:00:00-0500',
'1969-12-31T19:00:00-0500', '1969-12-31T19:00:00-0500',
'1969-12-31T19:00:00-0500', 'NaT', 'NaT', 'NaT', 'NaT', 'NaT'], dtype='datetime64[s]')
Activity
Merge pull request #8160 from skwbc/issue#5692