Python Data Frame | Extract part of a text from a column into 3 new columns

Question

I hope you are doing well. I have a pandas data frame with a column containing with the following patterns "Region/Country/City". I need to create 3 new columns: Region, Country and City assigning its corresponding values. I appreciate your support and collaboration on guidance to solve this.

Many thanks Hernan

Answer 1

You can use pd.Series.str.split('/', expand=True)

ex:

a = pd.DataFrame({
    'data': ['Region/Country/City']
})

a[['region', 'country', 'city']] = a['data'].str.split('/', expand=True)