gistfile1.txt

import scipy.stats as stats

plt.figure(figsize=(16, 10))

for f, label in ((same_1990s, "Not Remodelled"),
                 (remodelled_1990s, "Remodelled"),
                 (built_1990s, "Built after 1990")):
  x = np.sort(price[f])
  plt.hist(x, density=True, alpha=0.1)
  density = stats.gaussian_kde(x)
  plt.plot(x, density(x), linewidth=4, label=label)

plt.xlabel("House Prices", fontsize=13)
plt.ylabel("House Count", fontsize=13)
plt.legend()
plt.title("House Prices Comparasion", fontsize=20)

print("Histogram")