How to split a column into three columns in pandas

Question

I have a data frame as shown below

ID  Name     Address
1   Kohli    Country: India; State: Delhi; Sector: SE25
2   Sachin   Country: India; State: Mumbai; Secto         


        

Answer 1

Use list comprehension with dict comprehension for list of dictionaries and pass to DataFrame constructor:

L = [{k:v for y in x.split('; ')  for k, v in dict([y.split(': ')]).items()} 
          for x in df.pop('Address')]

df = df.join(pd.DataFrame(L, index=df.index))
print (df)
   ID     Name    Country     State Sector
0   1    Kohli      India     Delhi   SE25
1   2   Sachin      India    Mumbai   SE39
2   3  Ponting  Australia  Tasmania    NaN

Or use split with reshape stack:

df1 = (df.pop('Address')
         .str.split('; ', expand=True)
         .stack()
         .reset_index(level=1, drop=True)
         .str.split(': ', expand=True)
         .set_index(0, append=True)[1]
         .unstack()
         )
print (df1)
0    Country Sector     State
0      India   SE25     Delhi
1      India   SE39    Mumbai
2  Australia    NaN  Tasmania

df = df.join(df1)
print (df)
   ID     Name    Country Sector     State
0   1    Kohli      India   SE25     Delhi
1   2   Sachin      India   SE39    Mumbai
2   3  Ponting  Australia    NaN  Tasmania