Panda datetime ymd to dmy

df1['Date'] = pd.to_datetime(df1['Date'], format='%Y%m%d').dt.strftime('%m/%d/%Y')
df2['Date'] = pd.to_datetime(df2['Date']).dt.strftime('%m/%d/%Y')
df3['Date'] = pd.to_datetime(df3['Date']).dt.strftime('%m/%d/%Y')
df4['Date'] = pd.to_datetime(df4['Date']).dt.strftime('%m/%d/%Y')

print df1
print df2
print df3
print df4
         Date
0  03/01/2016
1  03/01/2016
2  03/01/2016
3  03/01/2016
         Date
0  01/03/2016
1  01/03/2016
2  01/03/2016
         Date
0  03/31/2016
1  03/31/2016
2  03/31/2016
         Date
0  02/25/2016
1  02/25/2016
2  02/25/2016

print type(df1.at[0,'Date'])
<type 'str'>

Source: stackoverflow.com

Similar codes

16 votes369 views6 answers
Django forms
Python Django
1 vote341 views1 answer
Tkinter radio buttons
Python
0 vote309 views1 answer
Lamda in f string
Python
19 votes342 views1 answer
Python string cut right
Python
0 vote314 views1 answer
Pycharm writing issue
Python
3 votes324 views2 answers
Map dataframe
Python
0 vote348 views1 answer
Get full detail inside of id in django rest framework many to many
Python Django
0 vote306 views1 answer
Why we need open ( ) and close ( ) in os
Python
0 vote319 views1 answer
Plt force axis numbers
Python
0 vote350 views1 answer
%%writefile jupyter
Python