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NumPy Advanced Indexing: Exercises, Practice, and Solutions

NumPy Advanced Indexing [ 20 exercises with solution]

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1. Write a NumPy program that creates a 2D NumPy array of random integers. Use boolean indexing to select all elements greater than a specified value.
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2. Write a NumPy program that creates a 1D NumPy array and uses integer array indexing to select a subset of elements based on an index array.
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3. Write a NumPy program that creates a 3D NumPy array and uses fancy indexing to select elements from specific rows and columns.
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4. Write a NumPy program that creates a 4D NumPy array and uses multi-dimensional indexing to select a subarray.
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5. Write a NumPy program that creates a 2D NumPy array of random floats and uses boolean indexing to select elements that satisfy multiple conditions (e.g., greater than 0.5 and less than 0.8).
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6. Write a NumPy program that creates a 2D NumPy array and uses integer indexing with broadcasting to select elements from specific rows and all columns.
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7. Write a NumPy program that creates a 3D NumPy array and use boolean indexing to select elements along one axis based on conditions applied to another axis.
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8. Write a NumPy program that creates a 2D NumPy array and uses a tuple of arrays to index and select a specific set of elements.
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9. Write a NumPy program that creates two 1D NumPy arrays and uses np.ix_ to perform cross-indexing on a 2D array.
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10. Write a NumPy program that creates a 2D NumPy array and uses boolean indexing to replace all elements that meet a certain condition with a specified value.
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11. Write a NumPy program that creates a 3D NumPy array and uses integer array indexing to select elements along specific axes.
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12. Write a NumPy program that creates a 2D NumPy array and uses a combination of boolean and integer indexing to select a subset of elements.
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13. Write a NumPy program that creates a 1D NumPy array and uses boolean indexing with logical operators (e.g., & for AND, | for OR) to select elements based on multiple conditions.
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14. Write a NumPy program that creates a 2D NumPy array and uses slicing in combination with index arrays to select a rectangular subarray.
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15. Write a NumPy program that creates a 3D NumPy array and uses boolean indexing to set elements that meet a condition to a new value.
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16. Write a NumPy program that creates a 2D NumPy array and uses np.nonzero to find indices of elements that satisfy a condition, then uses these indices for advanced indexing.
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17. Write a NumPy program that creates a 4D NumPy array and uses integer indexing to extract smaller subarrays.
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18. Write a Numpy program that creates a 3D NumPy array and use a combination of slicing and integer indexing to select a specific slice and then index into it.
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19. Write a NumPy program that creates a 5D NumPy array. Use boolean indexing to select elements along specific dimensions based on conditions applied to other dimensions.
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20. Write a NumPy program that creates a 2D NumPy array and uses a mask array (boolean array) for indexing to select a subset of elements that match the mask criteria.
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