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# NumPy | tan method

Programming
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Python
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NumPy
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Documentation
schedule Mar 10, 2022
Last updated
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Numpy's `tan(~)` method computes the tangent 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 tangent of each value in the input array.

# Examples

## Basic Usage

``` np.tan([np.pi, np.pi/ 6]) array([1. , 0.57735027]) ```

## Specifying an output array

``` a = np.zeros(2)np.tan([np.pi/ 4, np.pi/ 6], out=a)a array([1. , 0.57735027]) ```

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

``` np.tan([np.pi/ 4, np.pi/ 6, np.pi/ 9], where=[False, True, False]) array([45232. , 0.57735027, 0.36397023]) ```
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.tan([np.pi/ 4, np.pi/ 6, np.pi/ 9], out=a, where=[False, True, False])a array([0. , 0.57735027, 0. ]) ```