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numpy.arcsin () in Python

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Parameters :

  array:  [array_like] elements are in radians.  out:  [array_like] array of same shape as x. 

Return:

 An array with inverse sine of x for all x ie array elements. The values ​​are in the closed interval [-pi / 2, pi / 2]. 

Code # 1: Work

# Python program explaining
# arcsin () function

 

import numpy as np

  

in_array = [ 0 , 1 , 0.3 , - 1 ]

print ( "Input array: " , in_array)

  

arcsin_Values ​​ = np.arcsin (in_array )

print ( "Inverse Sine values : " , arcsin_Values)

Output:

 Input array: [0, 1, 0.3, -1] Inverse Sine values: [0. 1.57079633 0.30469265 -1.57079633] 

Code # 2: Graphic representation

# Show Python program
# Graphical representation
# arcsin () function

 

import numpy as np

import matplotlib.pyplot as plt

 

in_array = np.linspace ( - np.pi, np.pi, 12 )

out_array1 = np.sin (in_array)

out_array2 = np.arcsin (in_array)

 

print ( "in_array:" , in_array)

print ( "out_array with sin:" , out_array1)

print ( "out_arraywith arcsin:" , out_array1)

 
# red for numpy.arcsin ()
plt.plot (in_array, out_array1,

color = ’blue’ , marker = " * " )

  
plt.plot (in_array, out_array2,

color = ’ red’ , marker = "o" )

 

plt.title ( " blue: numpy.sin () red: numpy.arcsin () " )

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 2.57065399] 3.14 out_array with sin: [-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] out_arraywith arcsin: [-1.22464680e-16 -5.40640817e-01 -9.09631995e-01 -9.89821442e-01 -7.55749574e-01 -2.81732557e-01 7.51732555e-01 -01 9.89821442e-01 9.09631995e-01 5.406 40817e-01 1.22464680e-16] RuntimeWarning: invalid value encountered in arcsin out_array2 = np.arcsin (in_array) 

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