通过在熊猫的另一列中拆分字符串来创建新的数据框列

Question

I'm trying to break down some data I have in a data frame, that looks like this for example:

Index   Name
0       joe bloggs
1       jane doe
2       first last

I want to create a new column, with just the last name for example.

I feel like I should be doing something along the lines of df['New_name'] = df['Name'].split() but I know that won't work.

Any help would be really appreciated, cheers

Answer 1

df['New_name'] = df['Name'].str.split(expand =True)[1] gets the second word. If you want to make sure you get the last word, df['New_name'] = df['Name'].apply(lambda x: x.split()[-1]) works.

Answer 2

String handling in pandas series is a little weird. How about

df1['firstname'],df1['lastname']=df1['name'].str.split().str

Answer 3

This should also do the trick:

df['Name'].str.split(' ').str[-1]

0    bloggs
1       doe
2      last