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
import numpy as np
x = np.sin(np.pi/2)
print(x)
Example
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)
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 NumPy.
Note: radians values are pi/180 * degree_values.
Example
import numpy as np
arr = np.array([90, 180, 270, 360])
x = np.deg2rad(arr)
print(x)
Radians to Degrees
Example
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
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.
Example
import numpy as np
x = np.arcsin(1.0)
print(x)
Angles of Each Value in Arrays
Example
import numpy as np
arr = np.array([1, -1, 0.1])
x =
np.arcsin(arr)
print(x)
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
import numpy as np
base = 3
perp = 4
x = np.hypot(base, perp)
print(x)