Elegantly convert a numpy array of int64 to a numpy array of datetime64

Question

I have a numpy array x of dtype np.int64 representing nanoseconds. I'm able to convert this into a numpy array of dtype np.datetime64 with the following code:

np.array([np.datetime64(int(a), 'ns') for a in x])

Is there a better way to do this, that avoids python list comprehension?

Quang Hoang · Accepted Answer · 2020-09-03 15:20:26Z

5

You can do:

x = np.array([1e9, 5e9, 1e10], dtype=np.int64)

x.astype('datetime64[ns]')

Output:

array(['1970-01-01T00:00:01.000000000', '1970-01-01T00:00:05.000000000',
       '1970-01-01T00:00:10.000000000'], dtype='datetime64[ns]')

answered Sep 3, 2020 at 15:20

Quang Hoang

151k11 gold badges64 silver badges86 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

Elegantly convert a numpy array of int64 to a numpy array of datetime64

1 Answer 1

Comments

Your Answer

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Related