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# NumPy | true_divide method

schedule Aug 12, 2023
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Numpy's `true_divide(~)` method performs element-wise true division given two arrays. True division means that `5/2=2.5` as opposed to floor division, which is `5//2=2`.

The methods `true_divide(~)` and `divide(~)` are the equivalent.

WARNING

Opt to use the `/` operator instead

If you don't need the 3rd and 4th parameters of this method, simply divide two arrays using the `/` operator - you'll enjoy a performance boost.

# Parameters

1. `x1` | `array_like`

An array acting as the dividend.

2. `x2` | `array_like`

An array acting as the divisor.

3. `out` | `Numpy array` | `optional`

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

4. `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.

# Return value

A scalar is returned if `x1` and `x2` are scalars, otherwise a Numpy array is returned.

# Examples

## Dividing by a common divisor

``` x = [2,6,9]np.true_divide(x, 2) array([1. , 3. , 4.5]) ```

## Dividing by multiple divisors

``` x = [2,6,9]np.true_divide(x, [2,3,4]) array([1. , 2. , 2.25]) ```

Here, we are doing `2/2`, `6/3` and `9/4`.

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