This is documentation for an old release of NumPy (version 1.14.0). Read this page in the documentation of the latest stable release (version > 1.17).
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
datetime64
andtimedelta64
.Parameters: dtype : dtype
The dtype object, which must be a
datetime64
ortimedelta64
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’)