And what if we need to split columns instead? Here's an efficient way to split one column into two columns using the first space character in a data entry:
# Getting first name from the 'name' column
clients['f_name'] = clients['name'].str.split(' ', expand = True)[0]
# Getting last name from the 'name' column
clients['l_name'] = clients['name'].str.split(' ', expand = True)[1]
Now we save the first part of the name as the f_name column and the second part of the name as a separate l_name column.