NumPy Trigonometric Functions
Trigonometric Functions
NumPy provides the ufuncssin()
,cos()
andtan()
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:
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 parametersbut we can convert radians to degrees and vice versa as well in NumPy.
Note: radians values are pi/180 * degree_values.
Example
Convert all of the values in following array arr to radians:
arr = np.array([90, 180, 270, 360])
x = np.deg2rad(arr)
print(x)
Radians to Degrees
Example
Convert all of the values in following array arr to degrees:
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 ufuncsarcsin()
,arccos()
andarctan()
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
arr = np.array([1, -1, 0.1])
x = np.arcsin(arr)
print(x)
Hypotenues
Finding hypotenues using pythagoras theorem in NumPy.
NumPy provides thehypot()
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:
base = 3
perp = 4
x = np.hypot(base, perp)
print(x)