8000 Inconsistent and incorrect datetime64 string representations when in structured array · Issue #5692 · numpy/numpy · GitHub
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Inconsistent and incorrect datetime64 string representations when in structured array #5692

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gerritholl opened this issue Mar 18, 2015 · 0 8000 comments
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Inconsistent and incorrect datetime64 string representations when in structured array #5692

gerritholl opened this issue Mar 18, 2015 · 0 comments
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00 - Bug component: numpy._core

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@gerritholl
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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]')
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@charris @gerritholl
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