In this example we will show how to predict polynomial regression data in Python.

### Source Code

```
import numpy as np
x = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23]
y = [645, 552, 450, 408, 411, 430, 418, 440, 445, 430, 560, 630]
p = np.poly1d(np.polyfit(x, y, 3))
sale = p(20)
print(sale)
```

Output:

```
519.8873834498826
```