Python NumPy angle() Function

NumPy angle() Function:

The angle() method of the NumPy module returns the element-wise angle of the complex argument.

Syntax:

numpy.angle(a, deg=False)

Parameters

a: This is required. It is an array given as input.

deg: This is optional. If True, it returns the angle in degrees; if False, returns the angle in radians which is the default.

Return Value:

The element-by-element angle of the complex argument is returned by the angle() method of the NumPy module.

NumPy angle() Function in Python

Example1: (In degrees)

Approach:

Import numpy module using the import keyword
Pass some random complex numbers list(n-Dimensional) as an argument to the
array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array, deg as True as the arguments to the angle() function of the numpy module to get the angle of all the elements of the given array in degrees.
Store it in another variable.
Print the angle of all the elements of the given array in degrees.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random complex numbers list(n-Dimensional) as an argument to the 
# array() function to create an array. 
# Store it in a variable.
gvn_arry = np.array([[1+3j, 2+3j],
                     [2+4j, 1+2j]])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
print()
# Pass the above given array, deg as True as the arguments to the angle() 
# function of the numpy module to get the angle of all the elements of
# the given array in degrees
# Store it in another variable.
rslt = np.angle(gvn_arry, deg=True)
# Print the angle of all the elements of the given array in degrees.
print("The angle of all the elements of the given array in degrees:")
print(rslt)

Output:

The above given array is:
[[1.+3.j 2.+3.j]
[2.+4.j 1.+2.j]]

The angle of all the elements of the given array in degrees:
[[71.56505118 56.30993247]
[63.43494882 63.43494882]]

Example2: (In radians)

Approach:

Import numpy module using the import keyword
Pass some random complex numbers list(n-Dimensional) as an argument to the
array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array, deg as False as the arguments to the angle() function of the numpy module to get the angle of all the elements of the given array in radians.
Store it in another variable.
Print the angle of all the elements of the given array in radians.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random complex numbers list(n-Dimensional) as an argument to the 
# array() function to create an array. 
# Store it in a variable.
gvn_arry = np.array([[1+3j, 2+3j],
                     [2+4j, 1+2j]])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
print()
# Pass the above given array, deg as False as the arguments to the angle() 
# function of the numpy module to get the angle of all the elements of
# the given array in Radians
# Store it in another variable.
rslt = np.angle(gvn_arry, deg=False)
# Print the angle of all the elements of the given array in Radians.
print("The angle of all the elements of the given array in Radians:")
print(rslt)

Output:

The above given array is:
[[1.+3.j 2.+3.j]
[2.+4.j 1.+2.j]]

The angle of all the elements of the given array in Radians:
[[1.24904577 0.98279372]
[1.10714872 1.10714872]]

NOTE:

If you do not give the ‘deg’ argument it gives the angle in radians by default.

NumPy angle() Function in Python

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