pandas split column into multiple columns by delimiter
df[['A', 'B']] = df['AB'].str.split(' ', 1, expand=True)pandas split column into multiple columns by delimiter
df[['A', 'B']] = df['AB'].str.split(' ', 1, expand=True)how to use split in pandas
import pandas as pd
# new data frame with split value columns
data["Team"]= data["Team"].str.split(" ", n = 1, expand = True)
# df display
dataHow 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)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 oranger separate column into multiple columns
df %>%
separate(mainColumn,c('c1','c2'),'_',extra ='merge')pandas split column into multiple columns
df.Name.str.split(expand=True,)
0 1
0 Steve Smith
1 Joe Nadal
2 Roger FedererCopyright © 2021 Codeinu
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