"""

===========

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()

#############################################################################

#

# ------------

#

# References

# """"""""""

#

# The use of the following functions, methods, classes and modules is shown

# in this example:

import matplotlib

matplotlib.pyplot.hist

matplotlib.pyplot.xlabel

matplotlib.pyplot.ylabel

matplotlib.pyplot.text

matplotlib.pyplot.grid

matplotlib.pyplot.show