#!/usr/bin/env python3

import numpy as np
from matplotlib import pyplot as plt
from scipy.stats import laplace

plt.rc('font', family='serif')
plt.rc('font', size=10)
plt.rc('text', usetex=True)

x = np.arange(0.0, 6.0, 0.01)

# Draw the first laplace distribution.
plt.plot(x,\
         laplace.pdf(x, loc=2.0, scale=1.0),\
         label=r'$\textrm{Laplace}(2, 1)$',\
         color='#009874')

# # Draw the second laplace distribution.
# plt.plot(x,\
#          laplace.pdf(x, loc=1.0, scale=1.0),\
#          label=r'$\textrm{Laplace}(1, 1)$',\
#          color='#e52e4e')

# Configure the plot.
plt.axis([0.0, 6.0, 0.0, 0.6])  # Set plot box.
plt.legend(loc='best', frameon=False)  # Set plot legend.
plt.grid(axis='y', alpha=1.0)  # Add grid on y axis.
plt.xlabel('Count')  # Set x axis label.
plt.ylabel('Probability')  # Set y axis label.

plt.show()  # Show the plot in a new window.