[Python] How to plot a bar plot of 2 categorical columns using matplotlib or seaborn

This might be a simple task but I am new to plotting in python and is struggling to convert logic into code. I have 2 columns like below. 0 mean not churned and 1 means churned. gender is an object column and churned is a category column

gender|churned
--------------
male |0
male |1
female |0
female |1
female |1
male |1


I simply want a stacked bar graph (please correct me if this is not the right choice of graph) with 0 and 1 on x axis (churn column) and for each of those 2 categories I want a stacked bar graph with 2 different colours for each gender showing the total number of males and females under 0 (not churned) and total number of males and females under 1(churned).

I tried:

df.Churn.value_counts().plot(kind='bar')


it gave me the total count for each 0 and 1 but i need it divided by gender aswell.

Hope I am making sense

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