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.
Example
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)
Try it Yourself »
Convert Degrees Into Radians
By default all of the trigonometric functions take radians as parameters but we can convert radians to degrees and vice versa as well in NumP.
Note: radians values are pi/180 * degree_values.
Example
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)
Try it Yourself »
Radians to Degrees
Example
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)
Try it Yourself »
Finding Angles
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.
Angles of Each Value in Arrays
Example
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)
Try it Yourself »
Hypotenues
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.
Example
Find the hypotenues for 4 base and 3 perpendicular:
import numpy as np
base = 3
perp = 4
x = np.hypot(base, perp)
print(x)
Try it Yourself »
