python - group by week in pandas

Question

I'm having this data frame:

Name   Date    Quantity
Apple  07/11/17  20
orange 07/14/17  20
Apple  07/14/17  70
Orange 07/25/17  40
Apple  07/20/17  30

I want to aggregate this by Name and Date to get sum of quantities Details:

Date: Group, the result should be at the beginning of the week (or just on Monday)

Quantity: Sum, if two or more records have same Name and Date (if falls on same interval)

The desired output is given below:

Name   Date    Quantity
Apple  07/10/17  90
orange 07/10/17  20
Apple  07/17/17  30
orange 07/24/17  40

Thanks in advance

Answer 1

First convert column date to_datetime and substract one week, as we want to sum for the week ahead of the date, not the week before that date.

Then use groupby with Grouper by W-MON and aggregate sum:

df['Date'] = pd.to_datetime(df['Date']) - pd.to_timedelta(7, unit='d')
df = df.groupby(['Name', pd.Grouper(key='Date', freq='W-MON')])['Quantity']
       .sum()
       .reset_index()
       .sort_values('Date')
print (df)
     Name       Date  Quantity
0   Apple 2017-07-10        90
3  orange 2017-07-10        20
1   Apple 2017-07-17        30
2  Orange 2017-07-24        40