{ } Raw JSON

bundles / numpy 2.4.4 / numpy / datetime64

class

numpy:datetime64

source: /numpy/__init__.py

Signature

class   datetime64 ( value = None / * args )

Summary

If created from a 64-bit integer, it represents an offset from 1970-01-01T00:00:00. If created from string, the string can be in ISO 8601 date or datetime format.

Extended Summary

When parsing a string to create a datetime object, if the string contains a trailing timezone (A 'Z' or a timezone offset), the timezone will be dropped and a User Warning is given.

Datetime64 objects should be considered to be UTC and therefore have an offset of +0000.

>>> np.datetime64(10, 'Y')
np.datetime64('1980')
>>> np.datetime64('1980', 'Y')
np.datetime64('1980')
>>> np.datetime64(10, 'D')
np.datetime64('1970-01-11')

See arrays.datetime for more information.

Charactercode

'M'

Aliases

  • numpy.datetime64

Referenced by