What is the best way to create a numpy series with datetime64[ns, UTC] data type?

I've been attempting to create a numpy series with the type datetime64[ns, UTC], but I'm running into some issues.

Here's what I've tried:

test = np.array(np.datetime64('2005-01-03 14:30:00.000000000'))
test
>array('2005-01-03T14:30:00.000000000', dtype='datetime64[ns]')

Also, I tried converting it without success:

test = np.array(np.datetime64('2005-01-03 14:30:00.000000000').tz_localize('UTC'))
test
>>>
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-23-0efefc078d50> in <module>
----> 1 test = np.array(np.datetime64('2005-01-03 14:30:00.000000000').tz_localize('UTC'))
      2 test

AttributeError: 'numpy.datetime64' object has no attribute 'tz_localize'
pythonpandasnumpydatetime64

Answer №1

After implementing the following code, I successfully obtained the desired outcome:

0   2010-02-23 05:30:00+00:00
dtype: datetime64[ns, UTC]

The script used to achieve this is as follows:

import numpy as np
import pandas as pd
s = pd.Series(np.datetime64('2010-02-23 05:30:00.000000000'))
s.dt.tz_localize('UTC')

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