NumPy Masked Arrays: Exercises and Solutions
This resource offers a total of 100 NumPy Masked Arrays problems for practice. It includes 20 main exercises, each accompanied by solutions, detailed explanations, and four related problems.
The following exercises focus on NumPy masked arrays, covering creation, modification, arithmetic operations, and data extraction while handling missing or excluded values efficiently. They help in performing computations while ignoring masked elements, making them essential for data analysis and preprocessing.
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1. Masked Array Creation
Write a NumPy program that creates a masked array from a regular NumPy array with some specified values masked.
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2. Masked Array Fill
Write a NumPy program that creates a masked array and fills the masked values with a specified number.
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3. Mean of Masked Array
Write a NumPy program to compute the mean of a masked array, ignoring the masked values.
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4. Mask Elements Greater Than Specified Value
Write a NumPy program that creates a masked array where all elements greater than a specified value are masked.
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5. Replace Masked Values with Mean
Write a NumPy program to replace all masked values in a masked array with the mean of the unmasked elements.
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6. Count Masked Elements
Write a NumPy program to create a masked array and count the number of masked elements.
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7. Element-wise Addition of Masked Arrays
Write a NumPy program to perform element-wise addition of two masked arrays, maintaining the masks.
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8. Mask a Specified Row in a 2D Array
Write a NumPy program to create a masked array from a 2D NumPy array and mask all values in a specified row.
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9. Logical Condition Masking
Write a NumPy program that creates a masked array and uses logical operations to mask elements based on a condition.
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10. Maximum Value in Masked Array
Write a NumPy program to create a masked array and find the maximum value, ignoring the masked elements.
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11. Indices of Unmasked Elements
Write a NumPy program to create a masked array and find the indices of all unmasked elements.
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12. Convert Masked Array to Regular Array
Write a NumPy program to create a masked array and convert it back to a regular NumPy array, replacing the masked values with NaN.
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13. Masked Operation: Multiplication
Write a NumPy program that creates a masked array and performs a masked operation, such as masked multiplication.
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14. Apply Custom Function to Unmasked Elements
Write a NumPy program that creates a masked array and applies a custom function only to the unmasked elements.
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15. Extract Unmasked Data
Write a NumPy program that creates a masked array and extracts the unmasked data as a regular NumPy array.
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16. Masked Sum Operation
Write a NumPy program to create a masked array and perform a masked sum operation, ignoring the masked elements.
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17. Masked Array with Complex Condition
Write a NumPy program that creates a masked array from a regular array and mask values based on a complex condition.
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18. Modify Existing Mask
Write a NumPy program that creates a masked array and changes the mask to include additional elements.
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19. Apply Math Function on Unmasked Elements
Write a NumPy program that creates a masked array and applies a mathematical function (e.g., sin, cos) only to the unmasked elements.
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20. Check for Presence of Masked Elements
Write a NumPy program that creates a masked array and checks if any masked elements are present.
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