Seaborn: How to scale Y axis to 100 percent for each categorical value-CodePudding

Objective:

I want to create a stack histogram of a PaperlessBilling categorical feature (Telco Customer Churn dataset), display the Y axis as a percentage and display the churn distribution as the hue. But, the percentage is not from the accumulative calculation.

Here is what I expected if using R:

ggplot(Churn, aes(SeniorCitizen, fill = Churn))  
  geom_bar(position = "fill")  
  xlab("Senior Citizen status")  
  ylab("Percent")  
  scale_y_continuous(labels = scales::percent)  
  scale_x_discrete(labels = c("Non-Senior Citizens", "Senior Citizens"))  
  scale_fill_manual(name = "Churn Status", values = c("green2", "red1"), labels = c("No", "Yes"))  
  ggtitle("The Ratio of Churns by Senior Citizen status")  
  theme_classic()  
  theme(legend.position = "bottom",
        plot.title = element_text(hjust = 0.5, size = 15))

Here is the output of above code (see that both of the category has total 100%):

Here is what I've done:

fig, axs = plt.subplots(figsize=(5, 5))

sns.histplot(
    df,
    x = "PaperlessBilling",
    hue = "Churn",
    multiple = "stack",
    stat = "percent"
)

This is the output of above code:

CodePudding user response：

With