Convert integer series to timedelta in pandas

Question

I have a data frame in pandas which includes number of days since an event occurred. I want to create a new column that calculates the date of the event by subtracting the numb

Answer 1

First, to convert the column with integers to a timedelta, you can use to_timedelta:

In [60]: pd.to_timedelta(df['days_since_event'], unit='D')
Out[60]:
0   5 days
1   7 days
2   3 days
3   6 days
4   0 days
Name: days_since_event, dtype: timedelta64[ns]

Then you can create a new column with the current date and substract those timedelta's:

In [62]: df['event_date'] = pd.Timestamp('2015-12-29')

In [63]: df['event_date'] = df['event_date'] -  pd.to_timedelta(df['days_since_event'], unit='D')

In [64]: df['event_date']
Out[64]:
0   2015-12-24
1   2015-12-22
2   2015-12-26
3   2015-12-23
4   2015-12-29
dtype: datetime64[ns]