I am trying to find the jensen shannon distance metric between two distributions. However I am getting a ValueError because the two lists (probability distributions) are not the same size. How can I overcome this?

Here is the current code:

```
from scipy.spatial import distance
distance.jensenshannon([0.1, 0.1, 0.3, 0.2, 0.30], [0.30, 0.50, 0.20])
>> ValueError: operands could not be broadcast together with shapes (5,)(3,)
```

### >Solution :

I suppose the function is unable to compare between 2 different shapes (5×1) and (3×1). I’ve tried this with both vectors of the same shape (5×1), and it works

```
from scipy.spatial import distance
distance.jensenshannon([0.1, 0.1, 0.3, 0.2, 0.30], [0.30, 0.50, 0.20, 0.1, 0.2])
```

output

```
0.30985287648299353
```

And when I compare 2 identical vectors, the distance output is zero

```
distance.jensenshannon([0.30, 0.50, 0.20, 0.1, 0.2], [0.30, 0.50, 0.20, 0.1, 0.2])
```