pandas split by space
# importing pandas module
import pandas as pd
# new data frame with split value columns
data["Team"]= data["Team"].str.split(" ", n = 1, expand = True)
# df display
data
pandas split by space
# importing pandas module
import pandas as pd
# new data frame with split value columns
data["Team"]= data["Team"].str.split(" ", n = 1, expand = True)
# df display
data
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)
splitting column values in pandas
df[['A', 'B']] = df['AB'].str.split('@', 1, expand=True)
#'@' - Split at @
#1 = Axis 1 i.e on column level
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