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 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 data
Split column values
# make string version of original column, call it 'col' df['col'] = df['col1'].astype(str) # make the new columns using string indexing df['col1'] = df['col'].str[0:2] df['col2'] = df['col'].str[2:4] df['col3'] = df['col'].str[4:6] # get rid of the extra variable (if you want) df.drop('col', axis=1, 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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