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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'>

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panda datetime ymd to dmy

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