I have a pandas data frame with a column that represents dates as:
Name: ts_placed, Length: 13631, dtype: datetime64[ns]
It looks like this:
0    2014-10-18 16:53:00
1    2014-10-27 11:57:00
2    2014-10-27 11:57:00
3    2014-10-08 16:35:00
4    2014-10-24 16:36:00
5    2014-11-06 15:34:00
6    2014-11-11 10:30:00
....
I know how to group it in general using the function:
grouped = data.groupby('ts_placed')
What I want to do is to use the same function but to group the rows by week.
                        
Pass
as the argument to
groupby. This is the ordinal week in the year; seeDatetimeIndexfor other definitions of week.