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Module « numpy.matlib »

Fonction datetime_as_string - module numpy.matlib

Signature de la fonction datetime_as_string

Description

help(numpy.matlib.datetime_as_string)

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

Convert an array of datetimes into an array of strings.

Parameters
----------
arr : array_like of datetime64
    The array of UTC timestamps to format.
unit : str
    One of None, 'auto', or
    a :ref:`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.

Returns
-------
str_arr : ndarray
    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 a
``pytz`` 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'

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