Kalman-and-Bayesian-Filters.../code/smoothing_internal.py
2015-08-01 08:52:48 -07:00

63 lines
1.7 KiB
Python

# -*- coding: utf-8 -*-
"""Copyright 2015 Roger R Labbe Jr.
Code supporting the book
Kalman and Bayesian Filters in Python
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
This is licensed under an MIT license. See the LICENSE.txt file
for more information.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import matplotlib.pyplot as plt
def show_fixed_lag_numberline():
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlim(0,10)
ax.set_ylim(0,10)
# draw lines
xmin = 1
xmax = 9
y = 5
height = 1
plt.hlines(y, xmin, xmax)
plt.vlines(xmin, y - height / 2., y + height / 2.)
plt.vlines(4.5, y - height / 2., y + height / 2.)
plt.vlines(6, y - height / 2., y + height / 2.)
plt.vlines(xmax, y - height / 2., y + height / 2.)
plt.vlines(xmax-1, y - height / 2., y + height / 2.)
# add numbers
plt.text(xmin, y-1.1, '$x_0$', fontsize=20, horizontalalignment='center')
plt.text(xmax, y-1.1, '$x_k$', fontsize=20, horizontalalignment='center')
plt.text(xmax-1, y-1.1, '$x_{k-1}$', fontsize=20, horizontalalignment='center')
plt.text(4.5, y-1.1, '$x_{k-N+1}$', fontsize=20, horizontalalignment='center')
plt.text(6, y-1.1, '$x_{k-N+2}$', fontsize=20, horizontalalignment='center')
plt.text(2.7, y-1.1, '.....', fontsize=20, horizontalalignment='center')
plt.text(7.2, y-1.1, '.....', fontsize=20, horizontalalignment='center')
plt.axis('off')
plt.show()
if __name__ == '__main__':
#show_2d_transform()
#show_sigma_selections()
show_sigma_transform(True)
#show_four_gps()
#show_sigma_transform()
#show_sigma_selections()