mindspore.numpy.trapz

mindspore.numpy.trapz(y, x=None, dx=1.0, axis=-1)[source]

Integrates along the given axis using the composite trapezoidal rule.

Integrates y (x) along given axis.

Parameters

y (Tensor) – Input array to integrate.
x (Union[int, float, bool, list, tuple, Tensor], optional) – The sample points corresponding to the y values. If x is None, the sample points are assumed to be evenly spaced dx apart. The default is None.
dx (scalar, optional) – The spacing between sample points when x is None. The default is 1.0.
axis (int, optional) – The axis along which to integrate. Defaults to -1.

Returns

Tensor of float, definite integral as approximated by trapezoidal rule.

Raises

ValueError – If axis is out of range of [-y.ndim, y.ndim).

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> a = np.arange(6).reshape(2, 3)
>>> output = np.trapz(a,  x=[-2, 1, 2], axis=1)
>>> print(output)
[ 3. 15.]
>>> output = np.trapz(a,  dx=3, axis=0)
>>> print(output)
[ 4.5  7.5 10.5]