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

0 vote334 views1 answer
How delete element from list python
Python
1 vote359 views2 answers
Os path splitext
Python
8 votes315 views6 answers
Python int to binary
Python
2 votes329 views1 answer
None address in python
Python
0 vote327 views2 answers
How to input a string character into a numpy zeros imatrix n python
Python
1 vote343 views1 answer
Shutil move overwrite
Python
0 vote290 views1 answer
Matploltib increase resolution
Python
2 votes316 views1 answer
Add two column values of a datframe into one
Python
4 votes323 views1 answer
How to import reverse
Python
8 votes325 views3 answers
Async sleep python
Python