Kalman-and-Bayesian-Filters.../code/book_plots.py
Roger Labbe 9117261d25 Normalized plot styles across chapters.
I had a lot of problems with lines being visible, and ended up
using different styles in different places. I found a style that
seems to work everywhere and put the code in book_plots.py.
2015-01-31 22:42:19 -08:00

74 lines
2.0 KiB
Python

# -*- coding: utf-8 -*-
"""
Created on Fri May 2 12:21:40 2014
@author: rlabbe
"""
import matplotlib.pyplot as plt
import numpy as np
def bar_plot(pos, ylim=(0,1), title=None):
plt.cla()
ax = plt.gca()
x = np.arange(len(pos))
ax.bar(x, pos, color='#30a2da')
if ylim:
plt.ylim(ylim)
plt.xticks(x+0.4, x)
if title is not None:
plt.title(title)
def plot_measurements(xs, ys=None, c='r', lw=2, label='Measurements', **kwargs):
""" Helper function to give a consistant way to display
measurements in the book.
"""
plt.autoscale(tight=True)
'''if ys is not None:
plt.scatter(xs, ys, marker=marker, c=c, s=s,
label=label, alpha=alpha)
if connect:
plt.plot(xs, ys, c=c, lw=1, alpha=alpha)
else:
plt.scatter(range(len(xs)), xs, marker=marker, c=c, s=s,
label=label, alpha=alpha)
if connect:
plt.plot(range(len(xs)), xs, lw=1, c=c, alpha=alpha)'''
if ys is not None:
plt.plot(xs, ys, c=c, lw=lw, linestyle='--', label=label, **kwargs)
else:
plt.plot(xs, c=c, lw=lw, linestyle='--', label=label, **kwargs)
def plot_residual_limits(Ps):
std = np.sqrt(Ps)
plt.plot(-std, c='k', ls=':', lw=2)
plt.plot(std, c='k', ls=':', lw=2)
plt.fill_between(range(len(std)), -std, std,
facecolor='#ffff00', alpha=0.3)
def plot_track(xs, ys=None, label='Track', c='k', lw=2):
if ys is not None:
plt.plot(xs, ys, c=c, lw=lw, label=label)
else:
plt.plot(xs, c=c, lw=lw, label=label)
#c='#013afe'
def plot_filter(xs, ys=None, c='#6d904f', label='Filter', **kwargs):
if ys is not None:
plt.plot(xs, ys, c=c, label=label, **kwargs)
else:
plt.plot(xs, c=c, label=label, **kwargs)
if __name__ == "__main__":
p = [0.2245871, 0.06288015, 0.06109133, 0.0581008, 0.09334062, 0.2245871,
0.06288015, 0.06109133, 0.0581008, 0.09334062]*2
bar_plot(p)
plot_measurements(p)