numpy.datetime_data

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 numpy.datetime64 and numpy.timedelta64.

Parameters:
dtype : dtype

The dtype object, which must be a datetime64 or timedelta64 type.

Returns:
unit : str

The datetime unit on which this dtype is based.

count : int

The number of base units in a step.

Examples

>>> 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’)