Extract day and month from a datetime object

Question

I have a column with dates in string format '2017-01-01'. Is there a way to extract day and month from it using pandas?

I have converted the column to datetime dtype but haven't figured out the later part:

df['Date'] =  pd.to_datetime(df['Date'], format='%Y-%m-%d')

df.dtypes: 
Date        datetime64[ns]

print(df)

         Date
0   2017-05-11
1   2017-05-12
2   2017-05-13 

Answer 1

With dt.day and dt.month --- Series.dt

df = pd.DataFrame({'date':pd.date_range(start='2017-01-01',periods=5)})
df.date.dt.month
Out[164]: 
0    1
1    1
2    1
3    1
4    1
Name: date, dtype: int64

df.date.dt.day
Out[165]: 
0    1
1    2
2    3
3    4
4    5
Name: date, dtype: int64

Also can do with dt.strftime

df.date.dt.strftime('%m')
Out[166]: 
0    01
1    01
2    01
3    01
4    01
Name: date, dtype: object

Answer 2

A simple form:

df['MM-DD'] = df['date'].dt.strftime('%m-%d')