A simple illustration of the trapezoid rule for definite integration:

$$ \int_{a}^{b} f(x)\, dx \approx \frac{1}{2} \sum_{k=1}^{N} \left( x_{k} - x_{k-1} \right) \left( f(x_{k}) + f(x_{k-1}) \right). $$

First, we define a simple function and sample it between 0 and 10 at 200 points

In [1]:

```
%pylab inline
```

In [2]:

```
def f(x):
return (x-3)*(x-5)*(x-7)+85
x = linspace(0, 10, 200)
y = f(x)
```

Choose a region to integrate over and take only a few points in that region

In [3]:

```
a, b = 1, 9
xint = x[logical_and(x>=a, x<=b)][::30]
yint = y[logical_and(x>=a, x<=b)][::30]
```

Plot both the function and the area below it in the trapezoid approximation

In [4]:

```
plot(x, y, lw=2)
axis([0, 10, 0, 140])
fill_between(xint, 0, yint, facecolor='gray', alpha=0.4)
text(0.5 * (a + b), 30,r"$\int_a^b f(x)dx$", horizontalalignment='center', fontsize=20);
```

Compute the integral both at high accuracy and with the trapezoid approximation

In [5]:

```
from scipy.integrate import quad, trapz
integral, error = quad(f, 1, 9)
print "The integral is:", integral, "+/-", error
print "The trapezoid approximation with", len(xint), "points is:", trapz(yint, xint)
```

In [ ]:

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```