category_percentages_by_another_category visual

category_percentages_by_another_category.py

# Following up on https://github.com/mwaskom/seaborn/issues/1027 and https://stackoverflow.com/questions/34615854/seaborn-countplot-with-normalized-y-axis-per-group

import pandas as pd
import seaborn as sns

def category_percentages_by_another_category(df, category_a, category_b):
    (df.groupby(category_b)[category_a].value_counts(normalize=True)
    .rename('percent')
    .reset_index()
    .pipe((sns.catplot, 'data'), x=category_a, y='percent', hue=category_b, kind='bar'))
    
    
def category_percentages_by_another_category_col(df, category_a, category_b):
    """
    Produces a .catplot with a norma
    """
    (df.groupby(category_b)[category_a].value_counts(normalize=True)
    .rename('percent')
    .reset_index()
    .pipe((sns.catplot, 'data'), x=category_a, y='percent', col=category_b, kind='bar'))