mindspore.numpy.ptp

mindspore.numpy.ptp(x, axis=None, keepdims=False)[source]

Range of values (maximum - minimum) along an axis. The name of the function comes from the acronym for ‘peak to peak’.

Note

Numpy arguments dtype and out are not supported.

Parameters

x (Tensor) – Input tensor.
axis (Union[None, int, tuple(int)]) – Axis or axes along which the range is computed. The default is to compute the variance of the flattened array. Default: None.
keepdims (bool) – Default is False.

Returns

Tensor.

Raises

TypeError – if inputs have types not specified above.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> x = np.array([[4.0, 9.0, 2.0, 10.0], [6.0, 9.0, 7.0, 12.0]])
>>> print(np.ptp(x, axis=1))
[8. 6.]
>>> print(np.ptp(x, axis=0))
[2. 0. 5. 2.]