Moved all code to \code subdirectory.
All these changes are to make the book easier to run from cloud.sagemath.org. You can share individual notebooks there, but not entire projects.By putting everything under code at the user only needs to grab that one directory. More on sagemath later, if I decide to pursue that as a delivery mechanism...
This commit is contained in:
Roger Labbe
109
code/book_format.py
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109
code/book_format.py
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# -*- coding: utf-8 -*-
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from IPython.core.display import HTML
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import matplotlib.pylab as pylab
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import matplotlib.pyplot as plt
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import json
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import numpy as np
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import sys
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from contextlib import contextmanager
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sys.path.insert(0,'./code') # allow us to import book_format
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def test_filterpy_version():
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import filterpy
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min_version = [0,0,22]
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v = filterpy.__version__
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tokens = v.split('.')
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for i,v in enumerate(tokens):
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if int(v) > min_version[i]:
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return
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i = len(tokens) - 1
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if min_version[i] > int(tokens[i]):
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raise Exception("Minimum FilterPy version supported is {}.{}.{}.\n"
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"Please install a more recent version.\n"
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" ex: pip install filterpy --upgrade".format(
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*min_version))
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v = int(tokens[0]*1000)
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# ensure that we have the correct filterpy loaded. This is
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# called when this module is imported at the top of each book
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# chapter so the reader can see that they need to update FilterPy.
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test_filterpy_version()
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def equal_axis():
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pylab.rcParams['figure.figsize'] = 10,10
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plt.axis('equal')
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def reset_axis():
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pylab.rcParams['figure.figsize'] = 11, 4
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def set_figsize(x=11, y=4):
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pylab.rcParams['figure.figsize'] = x, y
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@contextmanager
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def figsize(x=11, y=4):
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"""Temporarily set the figure size using 'with figsize(a,b):'"""
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size = pylab.rcParams['figure.figsize']
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set_figsize(x, y)
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yield
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pylab.rcParams['figure.figsize'] = size
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@contextmanager
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def numpy_precision(precision):
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old = np.get_printoptions()['precision']
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np.set_printoptions(precision=precision)
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yield
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np.set_printoptions(old)
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@contextmanager
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def printoptions(*args, **kwargs):
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original = np.get_printoptions()
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np.set_printoptions(*args, **kwargs)
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yield
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np.set_printoptions(**original)
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def _decode_list(data):
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rv = []
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for item in data:
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if isinstance(item, unicode):
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item = item.encode('utf-8')
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elif isinstance(item, list):
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item = _decode_list(item)
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elif isinstance(item, dict):
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item = _decode_dict(item)
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rv.append(item)
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return rv
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def _decode_dict(data):
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rv = {}
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for key, value in data.iteritems():
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if isinstance(key, unicode):
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key = key.encode('utf-8')
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if isinstance(value, unicode):
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value = value.encode('utf-8')
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elif isinstance(value, list):
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value = _decode_list(value)
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elif isinstance(value, dict):
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value = _decode_dict(value)
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rv[key] = value
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return rv
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def load_style(directory = '.', name='/code/custom.css'):
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if sys.version_info[0] >= 3:
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s = json.load(open(directory + "/code/538.json"))
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else:
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s = json.load(open(directory + "/code/538.json"), object_hook=_decode_dict)
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plt.rcParams.update(s)
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reset_axis ()
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np.set_printoptions(suppress=True)
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styles = open(directory + name, 'r').read()
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return HTML(styles)
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225
code/custom.css
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225
code/custom.css
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<style>
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@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');
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@import url('http://fonts.googleapis.com/css?family=Vollkorn');
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@import url('http://fonts.googleapis.com/css?family=Arimo');
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div.cell{
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width: 900px;
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margin-left: 0% !important;
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margin-right: auto;
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}
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div.text_cell code {
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background: transparent;
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color: #000000;
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font-weight: 600;
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font-size: 11pt;
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font-style: bold;
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font-family: 'Source Code Pro', Consolas, monocco, monospace;
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}
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h1 {
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font-family: 'Open sans',verdana,arial,sans-serif;
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}
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div.input_area {
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background: #F6F6F9;
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border: 1px solid #586e75;
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}
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.text_cell_render h1 {
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font-weight: 200;
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font-size: 30pt;
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line-height: 100%;
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color:#c76c0c;
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margin-bottom: 0.5em;
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margin-top: 1em;
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display: block;
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white-space: wrap;
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text-align: left;
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}
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h2 {
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font-family: 'Open sans',verdana,arial,sans-serif;
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text-align: left;
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}
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.text_cell_render h2 {
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font-weight: 200;
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font-size: 16pt;
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font-style: italic;
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line-height: 100%;
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color:#c76c0c;
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margin-bottom: 0.5em;
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margin-top: 1.5em;
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display: block;
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white-space: wrap;
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text-align: left;
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}
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h3 {
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font-family: 'Open sans',verdana,arial,sans-serif;
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}
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.text_cell_render h3 {
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font-weight: 200;
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font-size: 14pt;
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line-height: 100%;
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color:#d77c0c;
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margin-bottom: 0.5em;
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margin-top: 2em;
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display: block;
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white-space: wrap;
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text-align: left;
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}
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h4 {
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font-family: 'Open sans',verdana,arial,sans-serif;
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}
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.text_cell_render h4 {
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font-weight: 100;
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font-size: 14pt;
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color:#d77c0c;
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margin-bottom: 0.5em;
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margin-top: 0.5em;
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display: block;
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white-space: nowrap;
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}
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h5 {
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font-family: 'Open sans',verdana,arial,sans-serif;
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}
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.text_cell_render h5 {
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font-weight: 200;
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font-style: normal;
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color: #1d3b84;
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font-size: 16pt;
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margin-bottom: 0em;
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margin-top: 0.5em;
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display: block;
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white-space: nowrap;
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}
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div.text_cell_render{
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font-family: 'Arimo',verdana,arial,sans-serif;
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line-height: 125%;
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font-size: 120%;
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text-align:justify;
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text-justify:inter-word;
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}
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div.output_subarea.output_text.output_pyout {
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overflow-x: auto;
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overflow-y: scroll;
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max-height: 50000px;
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}
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div.output_subarea.output_stream.output_stdout.output_text {
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overflow-x: auto;
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overflow-y: scroll;
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max-height: 50000px;
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}
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div.output_wrapper{
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margin-top:0.2em;
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margin-bottom:0.2em;
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}
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code{
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font-size: 70%;
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}
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.rendered_html code{
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background-color: transparent;
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}
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ul{
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margin: 2em;
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}
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ul li{
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padding-left: 0.5em;
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margin-bottom: 0.5em;
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margin-top: 0.5em;
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}
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ul li li{
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padding-left: 0.2em;
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margin-bottom: 0.2em;
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margin-top: 0.2em;
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}
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ol{
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margin: 2em;
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}
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ol li{
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padding-left: 0.5em;
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margin-bottom: 0.5em;
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margin-top: 0.5em;
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}
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ul li{
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padding-left: 0.5em;
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margin-bottom: 0.5em;
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margin-top: 0.2em;
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}
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a:link{
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font-weight: bold;
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color:#447adb;
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}
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a:visited{
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font-weight: bold;
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color: #1d3b84;
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}
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a:hover{
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font-weight: bold;
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color: #1d3b84;
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}
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a:focus{
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font-weight: bold;
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color:#447adb;
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}
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a:active{
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font-weight: bold;
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color:#447adb;
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}
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.rendered_html :link {
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text-decoration: underline;
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}
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.rendered_html :hover {
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text-decoration: none;
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}
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.rendered_html :visited {
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text-decoration: none;
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}
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.rendered_html :focus {
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text-decoration: none;
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}
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.rendered_html :active {
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text-decoration: none;
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}
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.warning{
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color: rgb( 240, 20, 20 )
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}
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hr {
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color: #f3f3f3;
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background-color: #f3f3f3;
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height: 1px;
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}
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blockquote{
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display:block;
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background: #fcfcfc;
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border-left: 5px solid #c76c0c;
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font-family: 'Open sans',verdana,arial,sans-serif;
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width:680px;
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padding: 10px 10px 10px 10px;
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text-align:justify;
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text-justify:inter-word;
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}
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blockquote p {
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margin-bottom: 0;
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line-height: 125%;
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font-size: 100%;
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}
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</style>
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<script>
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MathJax.Hub.Config({
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TeX: {
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extensions: ["AMSmath.js"]
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},
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tex2jax: {
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inlineMath: [ ['$','$'], ["\\(","\\)"] ],
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displayMath: [ ['$$','$$'], ["\\[","\\]"] ]
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},
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displayAlign: 'center', // Change this to 'center' to center equations.
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"HTML-CSS": {
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scale:85,
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availableFonts: ["Neo-Euler"],
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preferredFont: "Neo-Euler",
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webFont: "Neo-Euler",
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styles: {'.MathJax_Display': {"margin": 4}}
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}
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});
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</script>
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@@ -12,7 +12,7 @@ import numpy as np
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def plot1():
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P = np.array([[6, 2.5], [2.5, .6]])
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stats.plot_covariance_ellipse((10, 2), P, facecolor='g', alpha=0.2)
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Block a user