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

3 votes216 views1 answer
No module named 'django.core.urlresolvers'
Python Django
0 vote252 views1 answer
Remove element from pack tkinter
Python
0 vote223 views1 answer
Issue TypeError: ‘numpy.float64’ object cannot be interpreted as an integer
Python
0 vote186 views1 answer
How to add existiong database in dango
Python
-1 vote199 views1 answer
Parse receipt python
Python
37 votes203 views6 answers
Lambda functions python
Python
1 vote168 views1 answer
Matplotlib remove x and y labels
Python
1 vote204 views1 answer
Get local python api image url
Python
0 vote203 views1 answer
Python import worldcloud
Python
2 votes208 views1 answer
Python pandas apply to one column
Python