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## Overview

**SciPy** is an open-source library provided by Python dedicated to scientific computation. The **`scipy.integrate`** is a sub-package that provides the functionality to solve several integration methods, including Ordinary Differential Equations (ODEs). The **`scipy.integrate.trapz`** method in SciPy is used to compute a definite integral using a simple [Gaussian quadrature](https://www.thermopedia.com/content/811/) of fixed order *n*.

## Syntax

```Python
scipy.integrate.fixed_quad(func, a, b, args=(), n=5)
``` 


## Paramters

* **`y`**: The input array that needs to be integrated. It should be a Python array-like object. 

* **`x`**: The sample points corresponding to the $y$ values. It should be a Python array-like object. The default value is `None`. If `x` is _not_ given, the sample points are assumed to be evenly spaced  apart by `dx`.
* **`dx`**: An optional scaler representing the spacing between sample points when `x` is None. The default value is `1`.

* **`axis`**: The axis along which to integrate is an optional number.

## Return Value

`**trapz**`: The computed definite integral as approximated by the trapezoidal rule. It is a `float`.

## Example

from scipy import integrate
import numpy as np

print(integrate.trapz([0,1,2]))

## Explanation

We pass the array `[0,1,2]` to the `scipy.integrate.trapz` method, which integrates this array using the trapezoidal rule.

What is the scipy.integrate.trapz method?

SciPy's scipy.integrate.trapz method computes a definite integral using the trapezoidal rule for scientific computations.