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# NumPy | subtract method

schedule Aug 12, 2023
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Numpy's `subtract(~)` method takes in two array and performs an element-wise subtraction.

WARNING

Opt for direct subtraction (i.e. `arr_one - arr_two`) instead

Unless you need the second and third parameters of the method, opt to directly use `-` operator instead for a performance boost.

# Parameters

1. `x1` | `array-like`

The first input array.

2. `x2` | `array-like`

The second input array.

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

Instead of creating a new array, you can place the 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 `a` is a scalar, otherwise a Numpy array is returned.

# Examples

## Basic usage

``` a = np.array([1,2,3])b = np.array([6,5,4])np.subtract(a,b) array([-5, -3, -1]) ```
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