import numpy as np
import matplotlib.pyplot as plt

"""Example (modified) from http://matplotlib.org/users/recipes.html
"""

np.random.seed(1234)

fig, ax = plt.subplots(1)

x = 30*np.random.randn(10000)
mu = x.mean()
median = np.median(x)
sigma = x.std()

textstr = '$\mu=%.2f$\n$\mathrm{median}=%.2f$\n$\sigma=%.2f$'%(mu, median, sigma)

ax.hist(x, 50)

# these are matplotlib.patch.Patch properties
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)    # bbox properties

# place a text box in upper left in axes coords
ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,
        verticalalignment='top', bbox=props)
plt.show()
