### How to select items randomly but weighted by probability with Python?

Sometimes, we want to select items randomly but weighted by probability with Python.

In this article, we’ll look at how to select items randomly but weighted by probability with Python.

### How to select items randomly but weighted by probability with Python?

To select items randomly but weighted by probability with Python, we can call `random.choice` with the `weights` parameter set to the probability of each item being chosen.

For instance, we write:

``````import random

choices = random.choices(
population=[['a','b'], ['b','a'], ['c','b']],
weights=[0.2, 0.2, 0.6],
k=10
)

print(choices)
``````

We call `random.choices` with `population` set to the items that can be chosen.

`weights` has the probability of each item in `population` being chosen.

`k` is the number items to choose.

The items chosen are returned in a list and assigned to `choices`.

Therefore, `choices` is:

``````[['a', 'b'], ['c', 'b'], ['a', 'b'], ['c', 'b'], ['c', 'b'], ['c', 'b'], ['b', 'a'], ['a', 'b'], ['c', 'b'], ['a', 'b']]
``````

### Conclusion

To select items randomly but weighted by probably with Python, we can call `random.choice` with the `weights` parameter set to the probability of each item being chosen.