I am using Python 2.7. I have a Pandas data frame that looks like

```
raw_data = {'Date': ['12/1/2016', '12/4/2016','12/23/2016', '1/18/2017','1/18/2017','1/19/2017'], 
    'Account': ['aa1', 'aa2','aa1', 'aa1', 'aa1', 'aa2'], 
    'Description': ['store1', 'store2','store1', 'store2','store1','store2' ], 
    'Amount': [26.43, 24.99, 31.54,45.32, 2.00, 15.41],
    'Category': ['G','G','G','G','G','G'],
    'Initials': ['FR','DB','FR','DB','FR','FR']}
df = pd.DataFrame(raw_data, columns = ['Date','Account','Description','Amount','Category','Initials'])

```

I would like to sum by each Description and month so that my data looks like:  

Date Description Amount   

I have written the below code that sums by month but i am stuck on how to incorporate the Description column.

```
#convert Date to datetimeindex
df['Date'] = pd.to_datetime(df['Date'])
df = df.set_index('Date')

#sum by month
df = df.groupby(pd.TimeGrouper("M")).sum()
df

```

Any guidance would be much appreciated. Thanks.