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
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)
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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
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)
plt.plot(in_array, out_array, color = 'red' , marker = "o" )
plt.title( "numpy.sin()" )
plt.xlabel( "X" )
plt.ylabel( "Y" )
plt.show()
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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]
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