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# NumPy | fix method

schedule Aug 12, 2023
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Numpy's `fix(~)` method returns the ceiling for negative values and the floor for positive values. See examples below for clarification.

# Parameters

1. `a` | `array-like`

The input array.

2. `out` | `Numpy array` | `optional`

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

# Return value

If `a` is a scalar, then a scalar is returned. Otherwise, a Numpy array is returned.

# Examples

## Basic usage

``` np.fix([-3.2, -1.7, 1.5, 5.7]) array([-3., -1., 1., 5.]) ```

Just as a comparison, here's the output for the `ceil(~)` and `floor(~)` functions:

``` np.ceil([-3.2, -1.7, 1.5, 5.7]) array([-3., -1., 2., 6.]) `````` np.floor([-3.2, -1.7, 1.5, 5.7]) array([-4., -2., 1., 5.]) ```

As we've explained above, Numpy's `fix(~)` method returns the ceiling for negative values and the floor for positive values.

## Specifying an output array

``` a = np.zeros(3)np.fix([-3.2, -1.7, 1.5], out=a)a array([-3., -1., 1.]) ```
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