NumPy Trigonometric Functions

Trigonometric Functions

NumPy provides the ufuncs sin(), cos() and tan() that take values in radians and produce the corresponding sin, cos and tan values.

Find sine value of PI/2:

import numpy as np

x = np.sin(np.pi/2)

print(x)

Find sine values for all of the values in arr:

import numpy as np

arr = np.array([np.pi/2, np.pi/3, np.pi/4, np.pi/5])

x = np.sin(arr)

print(x)

By default all of the trigonometric functions take radians as parameters but we can convert radians to degrees and vice versa as well in NumPy.

Note: radians values are pi/180 * degree_values.

Convert all of the values in following array arr to radians:

import numpy as np

arr = np.array([90, 180, 270, 360])

x = np.deg2rad(arr)

print(x)

Convert all of the values in following array arr to degrees:

import numpy as np

arr = np.array([np.pi/2, np.pi, 1.5*np.pi, 2*np.pi])

x = np.rad2deg(arr)

print(x)

Finding angles from values of sine, cos, tan. E.g. sin, cos and tan inverse (arcsin, arccos, arctan).

NumPy provides ufuncs arcsin(), arccos() and arctan() that produce radian values for corresponding sin, cos and tan values given.

Find the angle of 1.0:

import numpy as np

x = np.arcsin(1.0)

print(x)

Find the angle for all of the sine values in the array:

import numpy as np

arr = np.array([1, -1, 0.1])

x = np.arcsin(arr)

print(x)

Finding hypotenues using pythagoras theorem in NumPy.

NumPy provides the hypot() function that takes the base and perpendicular values and produces hypotenues based on pythagoras theorem.

Find the hypotenues for 4 base and 3 perpendicular:

import numpy as np

base = 3
perp = 4

x = np.hypot(base, perp)

print(x)