Input df
Date
2016M01
2016M02
2016M03
..
Output df
Date
2016-01-01
2016-02-01
2016-03-01
.
.
How do I convert the input dataframe in such a format?
Input df
Date
2016M01
2016M02
2016M03
..
Output df
Date
2016-01-01
2016-02-01
2016-03-01
.
.
How do I convert the input dataframe in such a format?
try, pd.to_datetime with format as %YM%m
pd.to_datetime(df['Date'], format="%YM%m").dt.strftime('%Y-%m-%d')
0 2016-01-01
1 2016-02-01
2 2016-03-01
Name: Date, dtype: object
Small answer is:
>>> import pandas
>>> df = pandas.DataFrame({"Date" :["2016M03","2016M02","2016M01"])
>>> df
Date
0 2016M03
1 2016M02
2 2016M01
>>> df['Date'] = pandas.to_datetime(df['Date'], format="%YM%m")
>>> df
Date
0 2016-03-01
1 2016-02-01
2 2016-01-01