Pandas Custom Functions: Apply, Map, and Applymap Explained with Exercises
This resource offers a total of 100 Pandas Custom Function problems for practice. It includes 20 main exercises, each accompanied by solutions, detailed explanations, and four related problems.
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1. Apply Custom Function Element-wise with applymap()
Write a Pandas program that apply a custom function element-wise using applymap() function.
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2. Apply Custom Function to Each Row Using apply()
Write a Pandas program that apply a custom function to each row using apply() function.
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3. Apply Custom Function to Each Column Using apply()
Write a Pandas program that apply a custom function to each column using apply() function.
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4. Apply a Function to a Series Using map()
Write a Pandas program that uses map() function to apply a function to a Series.
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5. Apply Different Functions on DataFrame Columns Using apply()
Write a Pandas program that applies different functions on DataFrame columns using apply().
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6. Apply Lambda Function to DataFrame Columns Using apply()
Write a Pandas program that apply a Lambda function to DataFrame columns using apply() function.
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7. Apply Custom Function to Multiple Columns Using apply()
Write a Pandas program that applies a custom function to multiple columns using apply().
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8. Conditionally Apply a Function to DataFrame Rows
Write a Pandas program that conditionally apply a function to a DataFrame rows.
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9. Replace Values Using map() with a Dictionary
Write a Python program that applies map() function to replace values based on a dictionary.
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10. Apply Multiple Functions to a Single Column Using apply()
Write a Pandas function that applies multiple functions to a single column using apply() function.
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11. Custom Function to Modify Data Based on Column Types
Write a Pandas program to create a custom function to modify data based on column types.
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12. Conditional Logic with apply() in DataFrame
Write a Pandas program that uses apply() to work with conditional logic in DataFrame.
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13. Transform Dates with apply()
Write a Pandas program that applies a function to transform dates in a DataFrame.
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14. Create New Column Based on Multiple Conditions Using apply()
Write a Pandas program that uses apply() function to create a new column based on multiple conditions.
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15. Use map() with Lambda for Custom Function
Write a Pandas program that uses map() function to apply a custom function with a Lambda.
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16. Fill Missing Values with Custom Function Using apply()
Write a Pandas program to apply a custom function to fill missing values in a DataFrame.
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17. Normalize Data in a DataFrame with a Custom Function
Write a Pandas program that applies a Custom function to Normalize data in a DataFrame.
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18. Rolling Window Calculation Using apply()
Write a Pandas program that applies apply() to perform a rolling window calculation.
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19. Aggregate DataFrame Groups with a Custom Function
Write a Pandas program that applies a custom function to aggregate DataFrame groups.
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20. Standardize DataFrame Using applymap()
Write a Pandas program that uses applymap() to Standardize a DataFrame.
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