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() functionimport numpy as npimport mathin_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) |
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() functionimport numpy as npimport matplotlib.pyplot as pltin_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. ]
References :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.cos.html#numpy.cos
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