# numpy.sin() in Python

numpy.sin(x[, out]) = ufunc ‘sin’) : This mathematical function helps user to calculate trignmetric sine for all x(being the array elements).

Parameters :

```array    : [array_like]elements are in radians.
```
`2pi Radians = 36o degrees`

Return :

```An array with trignometric sine of
x for all x i.e. array elements
```

Code #1 : Working

 `# Python program explaining ` `# sin() function ` ` `  `import` `numpy as np ` `import` `math ` ` `  `in_array ``=` `[``0``, math.pi ``/` `2``, np.pi ``/` `3``, np.pi] ` `print` `(``"Input array : \n"``, in_array) ` ` `  `Sin_Values ``=` `np.sin(in_array) ` `print` `(``"\nSine values : \n"``, Sin_Values) `

Output :

```Input array :
[0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793]

Sine values :
[  0.00000000e+00   1.00000000e+00   8.66025404e-01   1.22464680e-16]
```

Code #2 : Graphical representation

 `# Python program showing ` `# Graphical representation of  ` `# sin() function ` ` `  `import` `numpy as np ` `import` `matplotlib.pyplot as plt ` ` `  `in_array ``=` `np.linspace(``-``np.pi, np.pi, ``12``) ` `out_array ``=` `np.sin(in_array) ` ` `  `print``(``"in_array : "``, in_array) ` `print``(``"\nout_array : "``, out_array) ` ` `  `# red for numpy.sin() ` `plt.plot(in_array, out_array, color ``=` `'red'``, marker ``=` `"o"``) ` `plt.title(``"numpy.sin()"``) ` `plt.xlabel(``"X"``) ` `plt.ylabel(``"Y"``) ` `plt.show() `

Output :

```in_array :  [-3.14159265 -2.57039399 -1.99919533 -1.42799666 -0.856798   -0.28559933
0.28559933  0.856798    1.42799666  1.99919533  2.57039399  3.14159265]

out_array :  [ -1.22464680e-16  -5.40640817e-01  -9.09631995e-01  -9.89821442e-01
-7.55749574e-01  -2.81732557e-01   2.81732557e-01   7.55749574e-01
9.89821442e-01   9.09631995e-01   5.40640817e-01   1.22464680e-16]```

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