make_vs_horsepower.py

bin_labels = ['Low (0-100)', 'Medium (100-150)', 'High (150+)']
data['horsepower-group'] = pd.cut(
    data['horsepower'],
    bins=[0, 100, 150, data['horsepower'].max()],
    labels=bin_labels
)

data['cnt'] = np.ones(len(data))
g = data.groupby(['horsepower-group', 'make']).count()[['cnt']].reset_index().replace(np.nan, 0)
plt.figure(figsize=(3, 11))
heatmap(
    x=g['horsepower-group'],
    y=g['make'],
    size=g['cnt'],
    marker='h',
    x_order=bin_labels
)