matplotlib · rcomer · Aug 26, 2023 · Aug 26, 2023 · Aug 26, 2023 · Aug 26, 2023
diff --git a/galleries/examples/statistics/histogram_features.py b/galleries/examples/statistics/histogram_features.py
@@ -20,14 +20,14 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-np.random.seed(19680801)
+rng = np.random.default_rng(19680801)
 
 # example data
-mu = 100  # mean of distribution
-sigma = 15  # standard deviation of distribution
-x = mu + sigma * np.random.randn(437)
+mu = 106  # mean of distribution
+sigma = 17  # standard deviation of distribution
+x = rng.normal(loc=mu, scale=sigma, size=420)
 
-num_bins = 50
+num_bins = 42
 
 fig, ax = plt.subplots()
 
@@ -38,9 +38,10 @@
 y = ((1 / (np.sqrt(2 * np.pi) * sigma)) *
      np.exp(-0.5 * (1 / sigma * (bins - mu))**2))
 ax.plot(bins, y, '--')
-ax.set_xlabel('Smarts')
+ax.set_xlabel('Value')
 ax.set_ylabel('Probability density')
-ax.set_title(r'Histogram of IQ: $\mu=100$, $\sigma=15$')
+ax.set_title('Histogram of normal distribution sample: '
+             fr'$\mu={mu:.0f}$, $\sigma={sigma:.0f}$')
 
 # Tweak spacing to prevent clipping of ylabel
 fig.tight_layout()