separate columns pandas as different dataframes code example

Example 1: How to split a text column into two separate columns?

import pandas as pd 

df = pd.DataFrame(["STD, City    State",
"33, Kolkata    West Bengal",
"44, Chennai    Tamil Nadu",
"40, Hyderabad    Telengana",
"80, Bangalore    Karnataka"], columns=['row'])

out = pd.DataFrame(df.row.str.split(' ',2).tolist(),columns=['STD','City','State'])
out.drop(index=0,inplace=True)

Example 2: split coumn of df into multiple dynamic columns

d = [pd.DataFrame(df[col].tolist()).add_prefix(col) for col in df.columns]
df = pd.concat(d, axis=1)

   id0  id1   id2  value0  value1  value2
0   10   10   NaN   apple  orange    None
1   15   67   NaN  banana  orange    None
2   12   34  45.0   apple  banana  orange