Given the following data frame and necessary wrangling:
import pandas as pd df=pd.DataFrame({\'A\':[\'a\',\'b\',\'c\'], \'dates\':[\'2015-08-31 00:00
You can convert directly using apply:
df.dates = df.dates.apply(lambda x: x.date())
This makes an in-place conversion of the previous 'dates' (as a timestamp) to the truncated 'datetime' only portion