Plotting percentage in seaborn bar plot

For a dataframe

import pandas as pd
df = pd.DataFrame(
    {'group': list("AADABCBCCCD"),
     'Values': [1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0]})

I am trying to plot a barplot showing percentage of times A, B, C, D takes zero (or one).

This works:

tempdf = df.groupby(['group', 'Values']).Values.count().unstack().fillna(0)
tempdf['total'] = df['group'].value_counts()
tempdf['percent'] = tempdf[0] / tempdf['total'] * 100

tempdf.reset_index(inplace=True)
print(tempdf)

sns.barplot(x='group', y='percent', data=tempdf)

If it were plotting just the mean value, I could simply do sns.barplot on df dataframe than tempdf. I am not sure how to do it elegantly if I am interested in plotting percentages.

You could use your own function in sns.barplot estimator, as from docs:

estimator : callable that maps vector -> scalar, optional
Statistical function to estimate within each categorical bin.

For you case you could define function as lambda:

sns.barplot(x='group', y='Values', data=df, estimator=lambda x: sum(x==0)*100.0/len(x))