pandas-one-in-two-out-apply.py
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| importpandasaspd | |
| # MAKE UP SOME DATA | |
| data= {'id': [1, 2, 3, 4, 5], | |
| 'First Name': ['Mary', 'Harry', 'Larry', 'Fairy', 'Dairy',], | |
| 'Birth Year': [1930,1940,1950,1960,1970], | |
| 'Favorite Color': ['Blue', 'Red', 'Green', 'Pink', 'Orange']} | |
| # CREATE A DATAFRAME | |
| df=pd.DataFrame.from_dict(data) | |
| # DEFINE A FUNCION WITH ONE INPUT AND TWO OUTPUTS | |
| defgeneration(birth_year): | |
| age=2022-birth_year | |
| if0<age<50: | |
| age_group='Young' | |
| elif50<age<60: | |
| age_group='Young at Heart' | |
| elif60<age<70: | |
| age_group='Arnold Palmer' | |
| elif70<age<80: | |
| age_group='Old' | |
| elif80<age<90: | |
| age_group="Still Kickin'" | |
| else: | |
| age_group="Ancient" | |
| returnage, age_group | |
| # APPLY THE FUNCTION TO ONE COLUMN, ASSIGNING THE OUTPUT TO TWO NEW COLUMNS | |
| df[['Age','Age Group']] =df.apply(lambdax: generation(x['Birth Year']), axis=1, result_type='expand') | |
| df |