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SciPy

numpy.cos

numpy.cos(x,/,out=None,*,where=True,casting='same_kind',order='K',dtype=None,subok=True[,signature,extobj]) = <ufunc 'cos'>

Cosine element-wise.

Parameters:

x : array_like

Input array in radians.

out : ndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword argument) must have length equal to the number of outputs.

where : array_like, optional

Values of True indicate to calculate the ufunc at that position, valuesof False indicate to leave the value in the output alone.

**kwargs

For other keyword-only arguments, see theufunc docs.

Returns:

y : ndarray

The corresponding cosine values.

Notes

Ifout is provided, the function writes the result into it,and returns a reference toout. (See Examples)

References

M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions.New York, NY: Dover, 1972.

Examples

>>>np.cos(np.array([0,np.pi/2,np.pi]))array([  1.00000000e+00,   6.12303177e-17,  -1.00000000e+00])>>>>>># Example of providing the optional output parameter>>>out2=np.cos([0.1],out1)>>>out2isout1True>>>>>># Example of ValueError due to provision of shape mis-matched `out`>>>np.cos(np.zeros((3,3)),np.zeros((2,2)))Traceback (most recent call last):  File"<stdin>", line1, in<module>ValueError:invalid return array shape

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  • Last updated on Jun 10, 2017.
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