Pandas Custom Functions: Apply, Map, and Applymap Explained with Exercises

Last update on December 21 2024 07:41:17 (UTC/GMT +8 hours)

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Pandas Custom Function [20 exercises with solution]

1. Write a Pandas program that apply a custom function element-wise using applymap() function.
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2. Write a Pandas program that apply a custom function to each row using apply() function.
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3. Write a Pandas program that apply a custom function to each column using apply() function.
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4. Write a Pandas program that uses map() function to apply a function to a Series.
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5. Write a Pandas program that applies different functions on DataFrame columns using apply().
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6. Write a Pandas program that apply a Lambda function to DataFrame columns using apply() function.
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7. Write a Pandas program that applies a custom function to multiple columns using apply().
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8. Write a Pandas program that conditionally apply a function to a DataFrame rows.
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9. Write a Python program that applies map() function to replace values based on a dictionary.
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10. Write a Pandas function that applies multiple functions to a single column using apply() function.
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11. Write a Pandas program to create a custom function to modify data based on column types.
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12. Write a Pandas program that uses apply() to work with conditional logic in DataFrame.
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13. Write a Pandas program that applies a function to transform dates in a DataFrame.
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14. Write a Pandas program that uses apply() function to create a new column based on multiple conditions.
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15. Write a Pandas program that uses map() function to apply a custom function with a Lambda.
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16. Write a Pandas program to apply a custom function to fill missing values in a DataFrame.
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17. Write a Pandas program that applies a Custom function to Normalize data in a DataFrame.
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18. Write a Pandas program that applies apply() to perform a rolling window calculation.
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19. Write a Pandas program that applies a custom function to aggregate DataFrame groups.
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20. Write a Pandas program that uses applymap() to Standardize a DataFrame.
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