I am using the seaborn violin plot feature however the size of the violins aren't what I would expect them to be. Does anyone know whether this is something I am doing wrong, or as I suspect whether this is a bug in seaborn.
The code I am using is the following;
sns.violinplot(x = "Issue Type", y = "issue_adj_risk_score", data=subset, scale="count", cut =0)
and the chart I can see is like this
As I understand it, becuase I have used the
scale ="count" parameter, the sizes of each of these violins should be proportional to an overall count of the number of things in each area. In 'category 1' however (pink) I have a total of 936 with an issue_adj_risk_score of 1 whilst in category 2 (orange) I have a total of 1212 with an issue_adj_risk_score of 1.
I am confused however as the pink is larger than the orange! :-(
Does anyone know why this might be?
I am now seeing further problems where the range of a particular category is inconsistent. I have a dataset and used violinplot to plot the below
Here we can see that a certain category (which I have highlighted in red) has a range from 1-4. This surprised me so I looked into the underlying data and it doesn't contain any values at 4. I then took a subset that contained this category only and plotted a violinplot with the same data and got this
Which is what I would have expected to see in the initial chart!
To investigate this further I plotted a boxplot based on the original data once again, and got the following
Which is consistent with the first chart but doesn't reflect the actual data. How can all of these 3 charts come from the same data!!??