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