Seaborn countplot with normalized y axis per group

Question

I was wondering if it is possible to create a Seaborn count plot, but instead of actual counts on the y-axis, show the relative frequency (percentage) within its group (as s

Answer 1

You can provide estimators for the height of the bar (along y axis) in a seaborn countplot by using the estimator keyword.

ax = sns.barplot(x="x", y="x", data=df, estimator=lambda x: len(x) / len(df) * 100)

The above code snippet is from https://github.com/mwaskom/seaborn/issues/1027

They have a whole discussion about how to provide percentages in a countplot. This answer is based off the same thread linked above.

In the context of your specific problem, you can probably do something like this:

ax = sb.barplot(x='occupation', y='some_numeric_column', data=raw_data, estimator=lambda x: len(x) / len(raw_data) * 100, hue='income')
ax.set(ylabel="Percent")

The above code worked for me (on a different dataset with different attributes). Note that you need to put in some numeric column for y else, it gives an error: "ValueError: Neither the x nor y variable appears to be numeric."