numpy.cos () in Python



Parameters :

  array:  [array_like] elements are in radians. 
 2pi Radians = 360 degrees 

Return:

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

Code # 1: Work

# Python program explaining
# cos () function

 

import numpy as np

import math

 

in_array = [ 0 , math.pi / 2 , np.pi / 3 , np.pi]

print ( "Input array:" , in_array)

 

cos_Values ​​ = np.cos (in_array)

print ( "Cosine values:" , cos_Values)

Output:

 Input array: [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Cosine values: [1.00000000e + 00 6.12323400e-17 5.00000000e-01 -1.00000000e + 00]  

Code # 2: Graphic representation

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

 

import numpy as np

import matplotlib.pyplot as plt

 

in_array = np.linspace ( - ( 2 * np .pi), 2 * np.pi, 20 )

out_array = np.cos (in_array)

 

print "in_array:" , in_array)

print ( "out_array:" , out_array)

 
# red for numpy.cos ()

plt.plot (in_array, out_array, color = `red` , marker = "o" )

plt.title ( "numpy.cos ()" )

plt.xlabel ( "X" )

plt.ylabel ( "Y" )

plt.show ()

Output:

 in_array: [-6.28318531 -5.62179738 -4.96040945 -4.29902153 -3.6376336 -2.97624567 -2.31485774 -1.65346982 -0.99208189 -0.33069396 0.33069396 0.99208189 1.65346982 2.31485774 2.97624567 3.6376336 4.29902153 4.96040945 5.62179738 6.28318531] out_array: [1. 0.78914051 0.24548549 -0.40169542 -0.87947375 -0.9863613 -0.67728157 -0.08257935 0.54694816 0.94581724 0.94581724 0.54694816 -0.08257935 -0.67728157 -0.9863613 -0.87947375 -0.40169542 0.24548549 0.78914051 1.] 

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