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Pandas split column into multiple columns

Pandas split column into multiple columns by delimiter

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

Source: stackoverflow.com

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)

R separate column into multiple columns

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

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

Pandas split column into multiple columns

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

Source: cmdlinetips.com

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