numpy.sin() in Python
Last Updated :
08 Mar, 2024
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numpy.sin(x[, out]) = ufunc 'sin') : This mathematical function helps user to calculate trigonometric sine for all x(being the array elements).
Parameters :
array : [array_like]elements are in radians.
2pi Radians = 36o degrees
Return :
An array with trigonometric sine of x for all x i.e. array elements
Code #1 : Working
# Python program explaining
# sin() function
import numpy as np
import math
in_array = [0, math.pi / 2, np.pi / 3, np.pi]
print ("Input array : \n", in_array)
Sin_Values = np.sin(in_array)
print ("\nSine values : \n", Sin_Values)
Output :
Input array : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Sine values : [ 0.00000000e+00 1.00000000e+00 8.66025404e-01 1.22464680e-16]
Code #2 : Graphical representation
# Python program showing
# Graphical representation of
# sin() function
import numpy as np
import matplotlib.pyplot as plt
in_array = np.linspace(-np.pi, np.pi, 12)
out_array = np.sin(in_array)
print("in_array : ", in_array)
print("\nout_array : ", out_array)
# red for numpy.sin()
plt.plot(in_array, out_array, color = 'red', marker = "o")
plt.title("numpy.sin()")
plt.xlabel("X")
plt.ylabel("Y")
plt.show()
Output :
in_array : [-3.14159265 -2.57039399 -1.99919533 -1.42799666 -0.856798 -0.28559933 0.28559933 0.856798 1.42799666 1.99919533 2.57039399 3.14159265] out_array : [ -1.22464680e-16 -5.40640817e-01 -9.09631995e-01 -9.89821442e-01 -7.55749574e-01 -2.81732557e-01 2.81732557e-01 7.55749574e-01 9.89821442e-01 9.09631995e-01 5.40640817e-01 1.22464680e-16]
