[Python] Seaborn histogram to plot survey answer frequency by gender

I have some survey question answers (letters A, B, C) I'd like to plot in a Seaborn histogram, with the frequency of each response letter grouped by gender.

import pandas as pd
answers = ['A', 'B', 'A', 'B', 'A', 'A', 'B', 'B', 'B', 'A', 'C', 'B', 'A', 'C']
genders = ['M', 'M', 'F', 'M', 'F', 'M', 'F', 'M', 'M', 'F', 'M', 'M', 'F', 'M']
df = pd.DataFrame({'Answer': answers, 'Gender': genders})


I'd like the output to resemble either clustered columns:



or stacked columns:



Seaborn isn't mandatory - it's just what I've been trying for a while. I've been struggling for days since categorical data like mine isn't easy to find in online examples.

Any help is tremendously appreciated.

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