numpy.sin () in Python



Parameters :

  array:  [array_like] elements are in radians. 
 2pi Radians = 36o degrees 

Return:

 An array with trignometric sine of x for all x ie array elements  

Code # 1: Work

# 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: " , in_array)

  

Sin_Values ​​ = np.sin (in_array)

print ( "Sine values:" , 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: Graphic representation

# Show Python program
# Graphs iCode
# 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 (  "out_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 1.9 9919533 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 7.557.858274e-0131 e-01 5.40640817e-01 1.22464680e-16] 

Links:
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.sin.html#numpy.sin
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