Remove "days 00:00:00"from dataframe
Check this format,
df['date'] = pd.to_timedelta(df['date'], errors='coerce').days
also, check .normalize() function in pandas.
So, I have a pandas dataframe with a lot of variables including start/end date of loans. 
I subtract these two in order to get their difference in days.
The result I get is of the type i.e. 349 days 00:00:00.
How can I keep only for example the number 349 from this column?