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I have a CSV file that has a name and email column. My goal is to map a new column, which is to separate the column names into two columns, first names and last names. The following sample table.

Names, Email aa bb, [email protected] bb cc, [email protected] cc dd, [email protected]

To be

First Name, Last Name, Email aa, bb, [email protected] bb, cc, [email protected] cc, dd, [email protected]

honestly, I am currently only able to read files with Pandas, I have read a number of articles about mapping in Pandas, but I have not found the right one.

Thank you.

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  • 2
    Did you check str.split with expand equals true? Commented Feb 19, 2019 at 3:14
  • 1
    Also check out my answer to that question. Commented Feb 19, 2019 at 4:32

1 Answer 1

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You could try:

df[['First_Name','Last_Name']]=df.pop('Names').str.split(" ",expand=True) print(df) Email First_Name Last_Name 0 [email protected] aa bb 1 [email protected] bb cc 2 [email protected] cc dd
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