pandas transform date format?
import pandas as pd
df = pd.DataFrame({'DOB': {0: '26/1/2016', 1: '26/1/2016'}})
print (df)
DOB
0 26/1/2016
1 26/1/2016
df['DOB'] = pd.to_datetime(df.DOB)
print (df)
DOB
0 2016-01-26
1 2016-01-26
df['DOB1'] = df['DOB'].dt.strftime('%m/%d/%Y')
print (df)
DOB DOB1
0 2016-01-26 01/26/2016
1 2016-01-26 01/26/2016panda 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'>Copyright © 2021 Codeinu
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