I am trying to convert the date format from a column in an specific format in python
Input Data:
Date
01/10/2020
01-mar-2020
1-june-2019
01/01/2021
1/11/2020
Output looking for:
Date
2020-10-01
2020-03-01
2019-06-01
2021-01-01
2020-11-01
Code been using so far:
df['Date'] = pd.to_datetime(df['Date'], errors='coerce')
df['Date'] = df['Date'].dt.strftime('%Y-%m-%d')
With the above script i am getting this output:
Date
2020-01-10
2020-03-01
2019-06-01
2021-01-01
2020-01-11
but its not giving the output as what i am trying to find.
Just use dayfirst
parameter of to_datetime()
method and set that equal to True
:
df['Date'] = pd.to_datetime(df['Date'], errors='coerce',dayfirst=True)
Finally:
df['Date'] = df['Date'].dt.strftime('%Y-%m-%d')
Now if you print df
or df['Date']
you will get your desired output:
0 2020-10-01
1 2020-03-01
2 2019-06-01
3 2021-01-01
4 2020-11-01
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