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# numpy.cos () in Python

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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.] `

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