Split values in a column pandas
Code examples
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 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 splitting column values in pandas
df[['A', 'B']] = df['AB'].str.split('@', 1, expand=True)
#'@' - Split at @
#1 = Axis 1 i.e on column levelSplit 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)
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