Home > Backend Development > Python Tutorial > How to Create a New Race Classification Column in Pandas Based on Multiple Ethnicity Columns?

How to Create a New Race Classification Column in Pandas Based on Multiple Ethnicity Columns?

Linda Hamilton
Release: 2024-12-20 02:11:09
Original
200 people have browsed it

How to Create a New Race Classification Column in Pandas Based on Multiple Ethnicity Columns?

Creating a New Column Based on Values from Multiple Columns in Pandas

In Pandas, it is possible to create a new column based on the values present in multiple other columns. This functionality is useful when applying complex logic or custom functions to derive meaningful insights from the data.

As an illustrative example, consider the task of creating a new column labeled "race_label" based on the values in six ethnicity columns: ERI_Hispanic, ERI_AmerInd_AKNatv, ERI_Asian, ERI_Black_Afr.Amer, ERI_HI_PacIsl, and ERI_White. The requirement is to classify individuals based on their race using the following criteria:

  1. If the person is counted as Hispanic, they are classified as "Hispanic."
  2. If the sum of all non-Hispanic ethnicity flags is greater than 1, they are classified as "Two or More."
  3. If the person is counted as American Indian/Alaska Native, they are classified as "A/I AK Native."
  4. If the person is counted as Asian, they are classified as "Asian."
  5. If the person is counted as Black/African American, they are classified as "Black/AA."
  6. If the person is counted as Native Hawaiian/Pacific Islander, they are classified as "Haw/Pac Isl."
  7. If the person is counted as White, they are classified as "White."

Solution

To achieve this, both a custom function and the Pandas apply() function are employed.

  1. Define the Custom Function:

    def label_race(row):
       if row['eri_hispanic'] == 1:
          return 'Hispanic'
       if row['eri_afr_amer'] + row['eri_asian'] + row['eri_hawaiian'] + row['eri_nat_amer'] + row['eri_white'] > 1:
          return 'Two Or More'
       if row['eri_nat_amer'] == 1:
          return 'A/I AK Native'
       if row['eri_asian'] == 1:
          return 'Asian'
       if row['eri_afr_amer'] == 1:
          return 'Black/AA'
       if row['eri_hawaiian'] == 1:
          return 'Haw/Pac Isl.'
       if row['eri_white'] == 1:
          return 'White'
       return 'Other'
    Copy after login
  2. Apply the Custom Function Using Pandas:

    df['race_label'] = df.apply(label_race, axis=1)
    Copy after login

This will create a new column called "race_label" in the Pandas dataframe, which contains the appropriate classification for each row based on the input criteria.

By combining the custom function and the Pandas apply() function, we can create a new column derived from complex logic applied across multiple columns, facilitating efficient data analysis and interpretation.

The above is the detailed content of How to Create a New Race Classification Column in Pandas Based on Multiple Ethnicity Columns?. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Latest Articles by Author
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template