Pandas columns to rows transformation not working? - python-3.x

Question

We have below pandas dataframe
and we need to convert into below dataframe
while using pd.wide_to_long command we are getting below error:-
ValueError: stubname can't be identical to a column name
This command is being use:-
pd.wide_to_long(df,['Org','City'],i=['First Name','Middle Name','Last Name','Years'],j='drop').reset_index(level=[0,1]

Answer 1

For me your solution working, also added parameter stubnames. Mayb eit is bug in oldier pandas version, link, so you can try to upgrade pandas to last version:
df = pd.wide_to_long(df, stubnames=['Org','City'],
i=['First Name','Middle Name','Last Name','Years'],
j='drop').reset_index().drop('drop', 1)
print (df)
First Name Middle Name Last Name Years Org City
0 aa cc dd 2019 v n
1 aa cc dd 2019 m m
2 aa cc dd 2019 d n
3 aa cc dd 2019 p j
4 zz yy xx 2018 p n
5 zz yy xx 2018 q n
6 zz yy xx 2018 i d
7 zz yy xx 2018 NaN NaN
EDIT: If possible some duplicates in data is possible create default index by reset_index and add column index to i variables:
print (df)
First Name Middle Name Last Name Years Org0 Org1 Org2 Org3 City0 City1 \
0 aa cc dd 2019 v m d p n m
1 zz yy xx 2018 p q i NaN n n
City2 City3
0 n j
1 d NaN
df = pd.wide_to_long(df.reset_index(), stubnames=['Org','City'],
i=['index','First Name','Middle Name','Last Name','Years'],
j='drop').reset_index().drop(['drop', 'index'], 1)
print (df)
First Name Middle Name Last Name Years Org City
0 aa cc dd 2019 v n
1 aa cc dd 2019 m m
2 aa cc dd 2019 d n
3 aa cc dd 2019 p j
4 zz yy xx 2018 p n
5 zz yy xx 2018 q n
6 zz yy xx 2018 i d
7 zz yy xx 2018 NaN NaN