Python pandas convert datetime to timestamp effectively through dt accessor

Question

I have a dataframe with some (hundreds of) million of rows. And I want to convert datetime to timestamp effectively. How can I do it?

My sample df:

Answer 1

I think you should not use apply, simply astype would be fine:

df['ts'] = df.datetime.astype('int64') // 10**9