converting ddmmyy into mmyy format by using pandas? - pandas

Question

i have column(month) in the ddmmyy format, how i can convert that into mmyy format.
Month
6/1/2017
5/1/2017
i have used below code, can someone help
import pandas as pd
df = pd.read_csv(r"C:\Users\venkagop\Subbu\UK_IYA.csv")
df['Month']=pd.to_datetime(df['Month'],format='%d/%m/%y')
df.to_csv(r"C:\Users\venkagop\Subbu\my test.csv")

Answer 1

I think you can convert column to datetimes in read_csv by parameter parse_dates and dayfirst and then convert to custom format by strftime:
df = pd.read_csv(r"C:\Users\venkagop\Subbu\UK_IYA.csv", parse_dates=['Month'], dayfirst=True)
df['Month']= df['Month'].dt.strftime('%b %y')
df.to_csv(r"C:\Users\venkagop\Subbu\my test.csv")
Your code:
df = pd.read_csv(r"C:\Users\venkagop\Subbu\UK_IYA.csv")
df['Month']=pd.to_datetime(df['Month'],format='%d/%m/%y').dt.strftime('%b %y')
df.to_csv(r"C:\Users\venkagop\Subbu\my test.csv")
Sample:
import pandas as pd
temp=u"""Month,sale
05/03/12,2
05/04/12,4
05/05/12,6
05/06/12,8"""
#after testing replace 'pd.compat.StringIO(temp)' to 'filename.csv'
df = pd.read_csv(pd.compat.StringIO(temp), parse_dates=['Month'], dayfirst=True)
print (df)
Month sale
0 2012-03-05 2
1 2012-04-05 4
2 2012-05-05 6
3 2012-06-05 8
df['Month']= df['Month'].dt.strftime('%b %y')
print (df)
Month sale
0 Mar 12 2
1 Apr 12 4
2 May 12 6
3 Jun 12 8