"""
===========
Pyplot Text
===========

"""
import numpy as np
import matplotlib.pyplot as plt

# Fixing random state for reproducibility
np.random.seed(19680801)

mu, sigma = 100, 15
x = mu + sigma * np.random.randn(10000)

# the histogram of the data
n, bins, patches = plt.hist(x, 50, density=True, facecolor='g', alpha=0.75)


plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title('Histogram of IQ')
plt.text(60, .025, r'$\mu=100,\ \sigma=15$')
plt.xlim(40, 160)
plt.ylim(0, 0.03)
plt.grid(True)
plt.show()

#############################################################################
#
# .. admonition:: References
#
#    The use of the following functions, methods, classes and modules is shown
#    in this example:
#
#    - `matplotlib.pyplot.hist`
#    - `matplotlib.pyplot.xlabel`
#    - `matplotlib.pyplot.ylabel`
#    - `matplotlib.pyplot.text`
#    - `matplotlib.pyplot.grid`
#    - `matplotlib.pyplot.show`