I've got a dataframe of pandas with a series of dates (all Sundays) like this:
Date Year Week
2011-01-02 2011 52
2011-01-23 2011 3
2011-01-23 2011 3
2011-01-30 2011 4
2011-01-30 2011 4
The week is given by df['Date'].dt.week
, and what I want is set Sundays as the first day of the week, so I can get:
Date Year Week
2011-01-02 2011 1
2011-01-23 2011 4
2011-01-23 2011 4
2011-01-30 2011 5
2011-01-30 2011 5
How can I do that in the simplest way?
P.S. I have failed to mention that there're multiple years in this dataset. So for rare occasions there'll be the last day of the year is Sunday, I would like to get The 53rd week of this year other than The 1st week of next year.
You can use dayofweek
to get that.
date = pd.DatetimeIndex(start='2011-01-02', end='2011-12-31',freq='D')
df = pd.DataFrame([date,date.year,date.week,date.dayofweek])
df = df.T
df.columns=['date','year','week','dayofweek']
df['newweek'] = 0
df.loc[df['dayofweek']==6, 'newweek'] = 1
df['newweek'] = df['newweek'].cumsum()
If you have multiple years, than do a rolling operation on the datetimeindex.
A simple and quick answer would be the following:
df['Week'] = df['Date'].apply(lambda x: (x + dt.timedelta(days=1)).week)
df
Date Year Week
0 2011-01-02 2011 1
1 2011-01-23 2011 4
2 2011-01-23 2011 4
3 2011-01-30 2011 5
4 2011-01-30 2011 5
Basically the first day is the Monday so applying a timedelta shifts your datetime (Sundays) to the following day (Mondays)
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