NumPy: Convert angles from degrees to radians for all elements in a given array
Write a NumPy program to convert angles from degrees to radians for all elements in a given array.
Sample Input: Input: [-180., -90., 90., 180.]
Sample Solution:
Python Code:
# Importing the NumPy library
import numpy as np
# Creating an array of angles in degrees: [-180, -90, 90, 180]
x = np.array([-180., -90., 90., 180.])
# Converting angles from degrees to radians using np.radians()
r1 = np.radians(x)
# Converting angles from degrees to radians using np.deg2rad()
r2 = np.deg2rad(x)
# Checking if the results from np.radians() and np.deg2rad() are equivalent
assert np.array_equiv(r1, r2)
# Printing the converted angles in radians
print(r1)
Sample Output:
[-3.14159265 -1.57079633 1.57079633 3.14159265]
Explanation:
x = np.array([-180., -90., 90., 180.]): This code defines a numpy array x containing the angles in degrees represented in floating-point format.
r1 = np.radians(x): The np.radians(x) function takes an input array x that contains angles in degrees and returns an array of the same shape with the corresponding angles in radians. The result is stored in r1.
r2 = np.deg2rad(x): The np.deg2rad(x) function also performs the same conversion but is an alternative function name for np.radians().The result is stored in r2.
np.array_equiv(r1, r2): Finally, the np.array_equiv() function is used to verify that r1 and r2 have the same values, which should always be true since they represent the same conversion.
Python-Numpy Code Editor: