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  
,