Swapping the first and last rows of a 4x4 array using NumPy
NumPy: Advanced Exercise-29 with Solution
Write a NumPy program to create a 4x4 array with random values and swap the first and last rows.
This NumPy program generates a 4x4 array filled with random values and swaps the first and last rows. Swapping involves exchanging the elements of the first row with the corresponding elements in the last row, effectively changing their positions within the array while maintaining the array's shape.
Sample Solution:
Python Code:
import numpy as np
# Create a 4x4 array with random values
array = np.random.random((4, 4))
# Print the original array
print("Original Array:\n", array)
# Swap the first and last rows
array[[0, -1]] = array[[-1, 0]]
# Print the array after swapping the first and last rows
print("Array after swapping first and last rows:\n", array)
Output:
Original Array: [[0.41772175 0.17423332 0.84823004 0.49858211] [0.83953919 0.01675973 0.77212078 0.01691815] [0.66812958 0.78669052 0.69903612 0.97760875] [0.39448254 0.80465228 0.90358789 0.76704065]] Array after swapping first and last rows: [[0.39448254 0.80465228 0.90358789 0.76704065] [0.83953919 0.01675973 0.77212078 0.01691815] [0.66812958 0.78669052 0.69903612 0.97760875] [0.41772175 0.17423332 0.84823004 0.49858211]]
Explanation:
- Import NumPy: Import the NumPy library to work with arrays.?
- Create a Random 4x4 Array: Generate a 4x4 array filled with random values using np.random.random.
- Print the Original Array: Print the original 4x4 array for reference.
- Swap the First and Last Rows: Use array indexing to swap the first row (index 0) with the last row (index -1).
- Print the Modified Array: Print the array after swapping the first and last rows.
Python-Numpy Code Editor:
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