`numpy._core._multiarray_umath:datetime_as_string`

Signature

built-in

  datetime_as_string (    arr    ,    unit    =  None   ,    timezone    =  naive   ,    casting    =  same_kind     )

Convert an array of datetimes into an array of strings.

arr : array_like of datetime64: The array of UTC timestamps to format.
unit : str: One of None, 'auto', or a datetime unit <arrays.dtypes.dateunits>.
timezone : {'naive', 'UTC', 'local'} or tzinfo: Timezone information to use when displaying the datetime. If 'UTC', end with a Z to indicate UTC time. If 'local', convert to the local timezone first, and suffix with a +-#### timezone offset. If a tzinfo object, then do as with 'local', but use the specified timezone.
casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}: Casting to allow when changing between datetime units.

import numpy as np
from zoneinfo import ZoneInfo
d = np.arange('2002-10-27T04:30', 4*60, 60, dtype='M8[m]')
d

Setting the timezone to UTC shows the same information, but with a Z suffix

np.datetime_as_string(d, timezone='UTC')

Note that we picked datetimes that cross a DST boundary. Passing in a ``ZoneInfo`` object will print the appropriate offset

np.datetime_as_string(d, timezone=ZoneInfo('US/Eastern'))

Passing in a unit will change the precision

np.datetime_as_string(d, unit='h')
np.datetime_as_string(d, unit='s')

'casting' can be used to specify whether precision can be changed

np.datetime_as_string(d, unit='h', casting='safe')