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# NumPy | ptp method

schedule Aug 12, 2023
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Numpy's `ptp(~)` method returns the range (i.e. maximum - minimum) along the specified axis. Note that ptp stands for "peak to peak".

# Parameters

1. `a` | `array-like`

The input array.

2. `axis`link | `None` or `int` | `optional`

The axis along which to compute the range. For 2D arrays, the allowed values are as follows:

Axis

Meaning

0

Compute the range column-wise

1

Compute the range row-wise

None

Compute the range on a flattened array

By default, `axis=None`.

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

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

# Return value

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

# Examples

## Computing the range of a 1D array

To compute the range of a 1D array:

``` np.ptp([5,6,7,8,9]) 4 ```

## Computing the range of a 2D array

Suppose we have the following 2D array:

``` a = np.array([[5,6],[7,8]])a array([[5, 6], [7, 8]]) ```

### Flattened

To compute the range of the flattened version of `a`:

``` np.ptp(a) 3 ```

### Column-wise

To compute the range column-wise:

``` np.ptp(a, axis=0) array([2, 2]) ```

### Row-wise

To compute the range row-wise:

``` np.ptp(a, axis=1) array([1, 1]) ```
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