The quadrant is chosen so that arctan2(x1, x2) is the signed angle in radians between the ray ending at the origin and passing through the point (1,0), and the ray ending at the origin and passing through the point (x2, x1).
The 1st parameter is the y-coordinates. The 2nd parameter is the x-coordinates. If x1.shape != x2.shape, they must be broadcastable to a common shape. The method returns array of angles in radians, in the range [-pi, pi]. This is a scalar if both x1 and x2 are scalars.
Steps
At first, import the required library −
import numpy as np
Creating arrays using the array() method. These are four points in different quadrants −
x = np.array([-1, +1, +1, -1]) y = np.array([-1, -1, +1, +1])
Display the array1 −
print("Array1 (x coordinates)...\n", x)
Display the array2 −
print("\nArray2 (y coordinates)...\n", y)To compute element-wise arc tangent of x1/x2 choosing the quadrant correctly, use the numpy, arctan2() method in Python −
print("\nResult...",np.arctan2(y, x) * 180 / np.pi)
Example
import numpy as np
# The quadrant is chosen so that arctan2(x1, x2) is the signed angle in radians between the ray
# ending at the origin and passing through the point (1,0), and the ray ending at the origin and
# passing through the point (x2, x1).
# Creating arrays using the array() method
# These are four points in different quadrants
x = np.array([-1, +1, +1, -1])
y = np.array([-1, -1, +1, +1])
# Display the array1
print("Array1 (x coordinates)...\n", x)
# Display the array2
print("\nArray2 (y coordinates)...\n", y)
# To compute element-wise arc tangent of x1/x2 choosing the quadrant correctly, use the numpy, arctan2() method in Python
print("\nResult...",np.arctan2(y, x) * 180 / np.pi)Output
Array1 (x coordinates)... [-1 1 1 -1] Array2 (y coordinates)... [-1 -1 1 1] Result... [-135. -45. 45. 135.]