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# NumPy | fabs method

schedule Aug 12, 2023
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NumPy's `np.fabs(~)` method returns a NumPy array with the absolute value applied to each of its value.

NOTE

There is a difference between `np.abs()` and `np.fabs()` methods. The `f` in `fabs()` denotes `float`, which means that the return type for `fabs()` is always `float`. On the other hand, `np.abs()` returns the same data type as the input array.

# Parameter

1. `x` | `array-like`

The source NumPy array.

# Return Value

A NumPy array of floats with the absolute value applied to each of its value.

# Examples

## Basic Usage

Suppose we have the following NumPy array:

``` x = np.array([[-1,2], [3,-4]])x array([[-1, 2], [3, -4]]) ```

To convert all negatives to positives, use the `abs()` method like follows:

``` np.fabs(x) array([[1., 2.], [3., 4.]]) ```

Notice the numbers have a `.` in them - this means that they are of data-type float.

Also, note that the source NumPy array is left intact, that is, `x` in this example would still have negative values.

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