Kalman-and-Bayesian-Filters.../book_format.py
Roger Labbe 5512aceaef Altering book format
Changed rest of chapters to use new formatting style. Also,
there is a bug in the current release of Jupyter that overwrites
the rcParams settings when you do the first import, so I had to
split the book format cell into two. This is actually better because
now the PDF, which strips out the formatting cell, will still have
the %matplotlib inline and import from future code.

Also, in the process of refactoring the information about Gaussian
and Bayes. Stuff is still strewn around too much. I need to make
this more streamlined. Chapters 2-4 talk about distributions, Bayes,
and Gaussians, and material is repeated a lot.
2018-08-05 09:20:48 -07:00

139 lines
3.8 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)
from contextlib import contextmanager
from IPython.core.display import HTML
import json
import matplotlib
import matplotlib.pylab as pylab
import matplotlib.pyplot as plt
import numpy as np
import os.path
import sys
import warnings
from kf_book.book_plots import set_figsize, reset_figsize
# version 1.4.3 of matplotlib has a bug that makes
# it issue a spurious warning on every plot that
# clutters the notebook output
if matplotlib.__version__ == '1.4.3':
warnings.simplefilter(action="ignore", category=FutureWarning)
try:
matplotlib.style.use('default')
except:
pass
def test_filterpy_version():
import filterpy
from distutils.version import LooseVersion
v = filterpy.__version__
min_version = "1.4.0"
if LooseVersion(v) < LooseVersion(min_version):
raise Exception("Minimum FilterPy version supported is {}.\n"
"Please install a more recent version.\n"
" ex: pip install filterpy --upgrade".format(
min_version))
# ensure that we have the correct filterpy loaded. This is
# called when this module is imported at the top of each book
# chapter so the reader can see that they need to update FilterPy.
test_filterpy_version()
pylab.rcParams['figure.max_open_warning'] = 50
@contextmanager
def numpy_precision(precision):
old = np.get_printoptions()['precision']
np.set_printoptions(precision=precision)
yield
np.set_printoptions(old)
@contextmanager
def printoptions(*args, **kwargs):
original = np.get_printoptions()
np.set_printoptions(*args, **kwargs)
yield
np.set_printoptions(**original)
def _decode_list(data):
rv = []
for item in data:
if isinstance(item, unicode):
item = item.encode('utf-8')
elif isinstance(item, list):
item = _decode_list(item)
elif isinstance(item, dict):
item = _decode_dict(item)
rv.append(item)
return rv
def _decode_dict(data):
rv = {}
for key, value in data.iteritems():
if isinstance(key, unicode):
key = key.encode('utf-8')
if isinstance(value, unicode):
value = value.encode('utf-8')
elif isinstance(value, list):
value = _decode_list(value)
elif isinstance(value, dict):
value = _decode_dict(value)
rv[key] = value
return rv
def set_style():
version = [int(version_no) for version_no in matplotlib.__version__.split('.')]
try:
if sys.version_info[0] >= 3:
style = json.load(open("./kf_book/538.json"))
else:
style = json.load(open(".//kf_book/538.json"), object_hook=_decode_dict)
plt.rcParams.update(style)
except:
pass
np.set_printoptions(suppress=True, precision=3,
threshold=10000., linewidth=70,
formatter={'float':lambda x:' {:.3}'.format(x)})
# I don't know why I have to do this, but I have to call
# with suppress a second time or the notebook doesn't suppress
# exponents
np.set_printoptions(suppress=True)
reset_figsize()
style = '''
<style>
.output_wrapper, .output {
height:auto !important;
max-height:100000px;
}
.output_scroll {
box-shadow:none !important;
webkit-box-shadow:none !important;
}
</style>
'''
return HTML(style)