Index and select elements in 2D NumPy Array using Tuple of arrays
8. 2D Array & Tuple of Arrays Indexing
Indexing with a Tuple of Arrays:
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.
Sample Solution:
Python Code:
Output:
Original 2D array: [[ 7 74 80 19 2] [63 29 42 4 36] [94 37 96 21 90] [28 81 62 7 66] [13 3 60 40 89]] Row indices: [0 1 2 3] Column indices: [4 3 2 1] Selected elements: [ 2 4 96 81]
Explanation:
- Import Libraries:
- Imported numpy as 'np' for array creation and manipulation.
- Create 2D NumPy Array:
- Create a 2D NumPy array named array_2d with random integers ranging from 0 to 99 and a shape of (5, 5).
- Define Row and Column Indices:
- Defined row_indices and col_indices arrays to specify the rows and columns from which to select elements.
- Tuple of Arrays Indexing:
- Used a tuple of arrays (row_indices, col_indices) to index and select specific elements from array_2d.
- Print Results:
- Print the original 2D array, the row and column indices, and the selected elements to verify the indexing operation.
For more Practice: Solve these Related Problems:
- Create a 2D array and use a tuple of index arrays to select elements at positions (0,1), (1,2), and (2,0).
- Write a function that returns a diagonal subarray from a 2D array using a tuple of indices.
- Implement a solution that uses a tuple of arrays to swap non-adjacent elements in a 2D array.
- Use tuple indexing to extract a checkerboard pattern from a 2D array.
Go to:
Previous: Boolean Indexing on 3D NumPy arrays with conditions.
Next: Cross-Indexing a 2D NumPy array using np.ix_.
Python-Numpy Code Editor:
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