numpy.cos(x[, out]) = ufunc ‘cos’) : This mathematical function helps user to calculate trigonometric cosine for all x(being the array elements).
Parameters :
array : [array_like]elements are in radians.
2pi Radians = 360 degrees
Return :
An array with trigonometric cosine of x for all x i.e. array elements
Code #1 : Working
Python
# 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 : \n" , in_array)
cos_Values = np.cos(in_array)
print ( "\nCosine values : \n" , cos_Values)
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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 : Graphical representation
Python
# Python program showing # Graphical representation of # 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 ( "\nout_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. ]