datetime_data(dtype, /)
The returned tuple can be passed as the second argument of numpy.datetime64
and numpy.timedelta64
.
The dtype object, which must be a datetime64
or timedelta64
type.
The datetime unit <arrays.dtypes.dateunits>
on which this dtype is based.
The number of base units in a step.
Get information about the step size of a date or time type.
>>> dt_25s = np.dtype('timedelta64[25s]')
... np.datetime_data(dt_25s) ('s', 25)
>>> np.array(10, dt_25s).astype('timedelta64[s]') array(250, dtype='timedelta64[s]')
The result can be used to construct a datetime that uses the same units as a timedelta
>>> np.datetime64('2010', np.datetime_data(dt_25s)) numpy.datetime64('2010-01-01T00:00:00','25s')See :
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