numpy.datetime_as_string — NumPy v2.3 Manual (original) (raw)

numpy.datetime_as_string(arr, unit=None, timezone='naive', casting='same_kind')#

Convert an array of datetimes into an array of strings.

Parameters:

arrarray_like of datetime64

The array of UTC timestamps to format.

unitstr

One of None, ‘auto’, or a datetime unit.

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.

Returns:

str_arrndarray

An array of strings the same shape as arr.

Examples

import numpy as np import pytz d = np.arange('2002-10-27T04:30', 4*60, 60, dtype='M8[m]') d array(['2002-10-27T04:30', '2002-10-27T05:30', '2002-10-27T06:30', '2002-10-27T07:30'], dtype='datetime64[m]')

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

np.datetime_as_string(d, timezone='UTC') array(['2002-10-27T04:30Z', '2002-10-27T05:30Z', '2002-10-27T06:30Z', '2002-10-27T07:30Z'], dtype='<U35')

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

np.datetime_as_string(d, timezone=pytz.timezone('US/Eastern')) array(['2002-10-27T00:30-0400', '2002-10-27T01:30-0400', '2002-10-27T01:30-0500', '2002-10-27T02:30-0500'], dtype='<U39')

Passing in a unit will change the precision

np.datetime_as_string(d, unit='h') array(['2002-10-27T04', '2002-10-27T05', '2002-10-27T06', '2002-10-27T07'], dtype='<U32') np.datetime_as_string(d, unit='s') array(['2002-10-27T04:30:00', '2002-10-27T05:30:00', '2002-10-27T06:30:00', '2002-10-27T07:30:00'], dtype='<U38')

‘casting’ can be used to specify whether precision can be changed

np.datetime_as_string(d, unit='h', casting='safe') Traceback (most recent call last): ... TypeError: Cannot create a datetime string as units 'h' from a NumPy datetime with units 'm' according to the rule 'safe'