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:

dtypedtype

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

Returns:

unitstr

The datetime unit on which this dtype is based.

countint

The number of base units in a step.

Examples

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>>> import numpy as np
>>> 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))
np.datetime64('2010-01-01T00:00:00','25s')

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