/NumPy 1.17

# numpy.ptp

`numpy.ptp(a, axis=None, out=None, keepdims=<no value>)` [source]

Range of values (maximum - minimum) along an axis.

The name of the function comes from the acronym for ‘peak to peak’.

Parameters: `a : array_like` Input values. `axis : None or int or tuple of ints, optional` Axis along which to find the peaks. By default, flatten the array. `axis` may be negative, in which case it counts from the last to the first axis. New in version 1.15.0. If this is a tuple of ints, a reduction is performed on multiple axes, instead of a single axis or all the axes as before. `out : array_like` Alternative output array in which to place the result. It must have the same shape and buffer length as the expected output, but the type of the output values will be cast if necessary. `keepdims : bool, optional` If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array. If the default value is passed, then `keepdims` will not be passed through to the `ptp` method of sub-classes of `ndarray`, however any non-default value will be. If the sub-class’ method does not implement `keepdims` any exceptions will be raised. `ptp : ndarray` A new array holding the result, unless `out` was specified, in which case a reference to `out` is returned.

#### Examples

```>>> x = np.arange(4).reshape((2,2))
>>> x
array([[0, 1],
[2, 3]])
```
```>>> np.ptp(x, axis=0)
array([2, 2])
```
```>>> np.ptp(x, axis=1)
array([1, 1])
```