NumPy: Compute numerical negative value for all elements in a given array
Write a NumPy program to compute numerical negative value for all elements in a given array.
Sample Solution:
Python Code:
# Importing the NumPy library
import numpy as np
# Creating an array containing integers 0, 1, and -1
x = np.array([0, 1, -1])
# Displaying the original array x
print("Original array: ")
print(x)
# Calculating the numerical negative value of each element in array x using np.negative()
r1 = np.negative(x)
# Calculating the numerical negative value of each element in array x using the unary minus operator
r2 = -x
# Checking if the results from np.negative() and the unary minus operator are equal using np.array_equal()
assert np.array_equal(r1, r2)
# Displaying the numerical negative value for all elements of the array obtained using np.negative()
print("Numerical negative value for all elements of the said array:")
print(r1)
Sample Output:
Original array: [ 0 1 -1] Numerical negative value for all elements of the said array: [ 0 -1 1]
Explanation:
x = np.array([0, 1, -1]): x is a 1-dimensional NumPy array of integers, with the values [ 0, 1, -1].
r1 = np.negative(x): Compute the negation of each element of the array and store the result in r1.
r2 = -x: Here ‘-x’ computes the negation of each element of the array and stores the result in r2.
assert np.array_equal(r1, r2): Finally, np.array_equal() function is used to verify if r1 and r2 have the same values. If the assertion passes, then it confirms that r1 and r2 have the same values.
Python-Numpy Code Editor: