Plot all categoricals within the same cell with seaborn's countplot.

plot_all_cats.py

import numpy as np
import seaborn as sns
import pylab as plt

def plot_all_cat_distributions(dataframe, figsize = (20,40)):
    """ Plot every single category frequency distribution in the same cell"""
    max_shape = np.ceil(dataframe.shape[1] / 2)
    fig = plt.figure(figsize=figsize)
    for i, col in enumerate(dataframe.columns):
        plt.subplot(max_shape, 2, i+1)
        _ = sns.countplot(y = col, data = dataframe, order=dataframe[col].value_counts().index)
    plt.show()