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NumPy | cos method

schedule Aug 12, 2023
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Numpy's cos(~) method computes the cosine of each of the input values in radians.

Parameters

1. a | array-like

The input array.

2. out | Numpy array | optional

Instead of creating a new array, you can place the computed result into the array specified by out.

3. where | array of boolean | optional

Values that are flagged as False will be ignored, that is, their original value will be uninitialized. If you specified the out parameter, the behavior is slightly different - the original value will be kept intact. Since this is a source of confusion for many, check examples below.

Return value

A Numpy array that contains the cosine of each value in the input array.

Examples

Basic Usage

np.cos([np.pi/ 3, np.pi])
array([ 0.5, -1. ])

Specifying an output array

a = np.zeros(2)
np.cos([np.pi/ 3, np.pi], out=a)
a
array([ 0.5, -1. ])

Here, we've output the result into array a.

Specifying a boolean mask

np.cos([np.pi/ 3, np.pi, 2*np.pi], where=[False, True, False])
array([2.34e-324, -1., 1.32e-322])

Here, only the second number was used for calculation since it has a corresponding boolean of True in the mask. You should notice how the values with False yielded strange results - in fact, you should disregard them because they are uninitialized numbers that are of no practical use.

Now, if you specified the out parameter, instead of uninitalized values, the original values will be left intact:

a = np.zeros(3)
np.cos([np.pi/ 3, np.pi, 2*np.pi], out=a, where=[False, True, False])
a
array([ 0., -1., 0.])
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Published by Isshin Inada
Edited by 0 others
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