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
andnumpy.timedelta64
.- Parameters:
- dtypedtype
The dtype object, which must be a
datetime64
ortimedelta64
type.
- Returns:
- unitstr
The datetime unit on which this dtype is based.
- countint
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')