Data Science, Data Visualization, Probability, Python, Matplotlib.
dimensions. def plot_kde(x, ax, xlabel, title, color): 'Creates subplots of kernel density estimations' data = shoe_df[x] loc = data.mean() scale = data.std() pdf = stats.norm.pdf(data, loc=loc, scale=scale) # Plot pdf as a kde ax = sns.kdeplot(x=data, y=pdf, color=color, fill=True, ax=ax) # Change