pandas split column into multiple columns

1df[['A', 'B']] = df['AB'].str.split(' ', 1, expand=True)
2

1import pandas as pd 
2
3# new data frame with split value columns 
4data["Team"]= data["Team"].str.split(" ", n = 1, expand = True) 
5
6# df display 
7data 

1import pandas as pd 
2
3df = pd.DataFrame(["STD, City    State",
4"33, Kolkata    West Bengal",
5"44, Chennai    Tamil Nadu",
6"40, Hyderabad    Telengana",
7"80, Bangalore    Karnataka"], columns=['row'])
8
9out = pd.DataFrame(df.row.str.split(' ',2).tolist(),columns=['STD','City','State'])
10out.drop(index=0,inplace=True)

1d = [pd.DataFrame(df[col].tolist()).add_prefix(col) for col in df.columns]
2df = pd.concat(d, axis=1)
3
4   id0  id1   id2  value0  value1  value2
50   10   10   NaN   apple  orange    None
61   15   67   NaN  banana  orange    None
72   12   34  45.0   apple  banana  orange

1df %>%
2  separate(mainColumn,c('c1','c2'),'_',extra ='merge')

1df.Name.str.split(expand=True,)
2          0  1
30   Steve   Smith
41   Joe Nadal
52   Roger   Federer
6