Now I will show how to plot a histogram. The example used is plotting a Gaussian.

>>> from pylab import randn, hist
>>> import matplotlib.pyplot as plt
>>> plt.title("Ejemplo de graficar una gaussiana")
>>> x = randn(10000)
>>> plt.hist(x)
(array([ 26, 182, 846, 2061, 2876, 2449, 1194, 312, 46, 8]), array([-3.56266387, -2.79960319, -2.03654252, -1.27348184, -0.51042117, 0.25263951, 1.01570018, 1.77876086, 2.54182153, 3.30488221, 4.06794288]), )
>>> plt.axis([-5, 5, 0, 4000]) [-5, 5, 0, 4000]
>>> plt.grid(True)

We import random and the histogram function, then matplotlib. We set the title of the plot, generate 10000 random numbers, pass the data to matplotlib, define the axes of the plot and finally add a grid to the plot.

matplotlib3-1

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