numpy.datetime_data(dtype, /)
Get information about the step size of a date or time type.
The returned tuple can be passed as the second argument of datetime64
and timedelta64
.
Parameters: |
dtype : dtype The dtype object, which must be a |
---|---|
Returns: |
unit : str The datetime unit on which this dtype is based. count : int The number of base units in a step. |
>>> 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’)
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.datetime_data.html