python - Converting Pandas Timestamp to just the time (looking for something faster than .apply)

Question

So if I have a timestamp in pandas as such:

Timestamp('2014-11-07 00:05:00')

How can I create a new column that just has the 'time' component?

So I want

00:05:00

Currently, I'm using .apply as shown below, but this is slow (my dataframe is a couple million rows), and i'm looking for a faster way.

df['time'] = df['date_time'].apply(lambda x: x.time())

Instead of .apply, I tried using .astype(time), as I noticed .astype operations can be faster than .apply, but that apparently doesn't work on timestamps (AttributeError: 'Timestamp' object has no attribute 'astype')... any ideas?

Answer 1

You want .dt.time see the docs for some more examples of things under the .dt accessor.

df['date_time'].dt.time