A Element-wise Quotient with Transpose in NumPy?
Code Explanation:
● Library Import: numpy is imported as np to access NumPy functions.
● Array Creation: A 2D NumPy array arr is created with floating-point numbers.
● Transpose Calculation: arr.T gives the transpose of the array, swapping rows with columns.
● Element-wise Division: arr / arr.T divides each element of the original array by the corresponding element in its transpose.
● Store Result: The resulting quotient array is stored in the variable quotient.
● Display Output: print(quotient) prints the final quotient array.
Program:
import numpy as np
arr = np.array([[2.0, 4.0], [6.0, 8.0]])
quotient = arr / arr.T
print(quotient)
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