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numpy.sin() in Python

Last Updated : 08 Mar, 2024

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

# 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

# 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]

numpy.sinc() in Python

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