density_plot_building_type.py

# Create a list of buildings with more than 100 measurements
types = data.dropna(subset=['score'])
types = types['Largest Property Use Type'].value_counts()
types = list(types[types.values > 100].index)

# Plot of distribution of scores for building categories
figsize(12, 10)

# Plot each building
for b_type in types:
    # Select the building type
    subset = data[data['Largest Property Use Type'] == b_type]
    
    # Density plot of Energy Star scores
    sns.kdeplot(subset['score'].dropna(),
               label = b_type, shade = False, alpha = 0.8);
    
# label the plot
plt.xlabel('Energy Star Score', size = 20); plt.ylabel('Density', size = 20); 
plt.title('Density Plot of Energy Star Scores by Building Type', size = 28);