kdeplot Different weights for different histograms

[JulianKnodt]

I've been trying to figure out how to do a kdeplot with different weights for different distributions.

Here is pseudocode for the current uniform version:

data = {
  "a": np.array([0,1,2]),
  "b": np.array([3,4,5,6,7]),
  "c": np.array([0, 0.1, 0.2, 0.3]),
}
sns.kdeplot(data, kind="kde")

What I'd like to do is assign a different weight to "a", "b" and "c". From my current understanding of the function signature, there's only a single column or data vector supported for weights.

To be clear, I want to use a weight vector of length 3, one for each entry of a, a weight vector of length 5 for b, etc.