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.
This commit is contained in:
Roger Labbe
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00-Preface.ipynb
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03-Gaussians.ipynb
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" }\n",
|
||||
" a:hover{\n",
|
||||
" color: #1d3b84;\n",
|
||||
" }\n",
|
||||
" a:focus{\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" a:active{\n",
|
||||
" font-weight: bold;\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" .rendered_html :link {\n",
|
||||
" text-decoration: underline;\n",
|
||||
" }\n",
|
||||
" .rendered_html :hover {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :visited {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :focus {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :active {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .warning{\n",
|
||||
" color: rgb( 240, 20, 20 )\n",
|
||||
" }\n",
|
||||
" hr {\n",
|
||||
" color: #f3f3f3;\n",
|
||||
" background-color: #f3f3f3;\n",
|
||||
" height: 1px;\n",
|
||||
" }\n",
|
||||
" blockquote{\n",
|
||||
" display:block;\n",
|
||||
" background: #fcfcfc;\n",
|
||||
" border-left: 5px solid #c76c0c;\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" width:680px;\n",
|
||||
" padding: 10px 10px 10px 10px;\n",
|
||||
" text-align:justify;\n",
|
||||
" text-justify:inter-word;\n",
|
||||
" }\n",
|
||||
" blockquote p {\n",
|
||||
" margin-bottom: 0;\n",
|
||||
" line-height: 125%;\n",
|
||||
" font-size: 100%;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<script>\n",
|
||||
" MathJax.Hub.Config({\n",
|
||||
" TeX: {\n",
|
||||
" extensions: [\"AMSmath.js\"],\n",
|
||||
" equationNumbers: { autoNumber: \"AMS\", useLabelIds: true}\n",
|
||||
" },\n",
|
||||
" tex2jax: {\n",
|
||||
" inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
|
||||
" displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\n",
|
||||
" },\n",
|
||||
" displayAlign: 'center', // Change this to 'center' to center equations.\n",
|
||||
" \"HTML-CSS\": {\n",
|
||||
" scale: 95,\n",
|
||||
" availableFonts: [],\n",
|
||||
" preferredFont:null,\n",
|
||||
" webFont: \"TeX\",\n",
|
||||
" styles: {'.MathJax_Display': {\"margin\": 4}}\n",
|
||||
" },\n",
|
||||
" \"fast-preview\": {\n",
|
||||
" \"disabled\": false\n",
|
||||
" }\n",
|
||||
" });\n",
|
||||
"</script>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"#format the book\n",
|
||||
"from book_format import load_style\n",
|
||||
"load_style()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
|
|
@ -362,7 +110,7 @@
|
|||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.4"
|
||||
"version": "3.6.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
|
|
@ -18,254 +18,46 @@
|
|||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"%matplotlib inline\n",
|
||||
"from __future__ import division, print_function"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<style>\n",
|
||||
"@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
|
||||
"@import url('http://fonts.googleapis.com/css?family=Lora');\n",
|
||||
"\n",
|
||||
".CodeMirror pre {\n",
|
||||
" font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
|
||||
"}\n",
|
||||
" div.cell{\n",
|
||||
" //width: 950px;\n",
|
||||
" margin-left: 0% !important;\n",
|
||||
" margin-right: auto;\n",
|
||||
" }\n",
|
||||
" div.text_cell_render{\n",
|
||||
" font-family: 'Lora';\n",
|
||||
" line-height: 125%;\n",
|
||||
" font-size: 100%;\n",
|
||||
" text-align: justify;\n",
|
||||
" text-justify:inter-word;\n",
|
||||
" }\n",
|
||||
" div.text_cell code {\n",
|
||||
" background: transparent;\n",
|
||||
" color: #000000;\n",
|
||||
" font-weight: 400;\n",
|
||||
" font-size: 11pt;\n",
|
||||
" font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
|
||||
" }\n",
|
||||
" h1 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
"\t}\n",
|
||||
"\n",
|
||||
" div.input_area {\n",
|
||||
" background: #F6F6F9;\n",
|
||||
" border: 1px solid #586e75;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .text_cell_render h1 {\n",
|
||||
" font-weight: 200;\n",
|
||||
" font-size: 30pt;\n",
|
||||
" line-height: 100%;\n",
|
||||
" color:#c76c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 1em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: wrap;\n",
|
||||
" text-align: left;\n",
|
||||
" }\n",
|
||||
" h2 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" text-align: left;\n",
|
||||
" }\n",
|
||||
" .text_cell_render h2 {\n",
|
||||
" font-weight: 200;\n",
|
||||
" font-size: 16pt;\n",
|
||||
" font-style: italic;\n",
|
||||
" line-height: 100%;\n",
|
||||
" color:#c76c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 1.5em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: wrap;\n",
|
||||
" text-align: left;\n",
|
||||
" }\n",
|
||||
" h3 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" }\n",
|
||||
" .text_cell_render h3 {\n",
|
||||
" font-weight: 200;\n",
|
||||
" font-size: 14pt;\n",
|
||||
" line-height: 100%;\n",
|
||||
" color:#d77c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 2em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: wrap;\n",
|
||||
" text-align: left;\n",
|
||||
" }\n",
|
||||
" h4 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" }\n",
|
||||
" .text_cell_render h4 {\n",
|
||||
" font-weight: 100;\n",
|
||||
" font-size: 14pt;\n",
|
||||
" color:#d77c0c;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 0.5em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: nowrap;\n",
|
||||
" }\n",
|
||||
" h5 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .text_cell_render h5 {\n",
|
||||
" font-weight: 200;\n",
|
||||
" font-style: normal;\n",
|
||||
" color: #1d3b84;\n",
|
||||
" font-size: 16pt;\n",
|
||||
" margin-bottom: 0em;\n",
|
||||
" margin-top: 0.5em;\n",
|
||||
" display: block;\n",
|
||||
" white-space: nowrap;\n",
|
||||
" }\n",
|
||||
" div.output_subarea.output_text.output_pyout {\n",
|
||||
" overflow-x: auto;\n",
|
||||
" overflow-y: visible;\n",
|
||||
" max-height: 5000000px;\n",
|
||||
" }\n",
|
||||
" div.output_subarea.output_stream.output_stdout.output_text {\n",
|
||||
" overflow-x: auto;\n",
|
||||
" overflow-y: visible;\n",
|
||||
" max-height: 5000000px;\n",
|
||||
" }\n",
|
||||
" div.output_wrapper{\n",
|
||||
" margin-top:0.2em;\n",
|
||||
" margin-bottom:0.2em;\n",
|
||||
"}\n",
|
||||
"\n",
|
||||
" code{\n",
|
||||
" font-size: 6pt;\n",
|
||||
"\n",
|
||||
" }\n",
|
||||
" .rendered_html code{\n",
|
||||
" background-color: transparent;\n",
|
||||
" }\n",
|
||||
" ul{\n",
|
||||
" margin: 2em;\n",
|
||||
" }\n",
|
||||
" ul li{\n",
|
||||
" padding-left: 0.5em;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 0.5em;\n",
|
||||
" }\n",
|
||||
" ul li li{\n",
|
||||
" padding-left: 0.2em;\n",
|
||||
" margin-bottom: 0.2em;\n",
|
||||
" margin-top: 0.2em;\n",
|
||||
" }\n",
|
||||
" ol{\n",
|
||||
" margin: 2em;\n",
|
||||
" }\n",
|
||||
" ol li{\n",
|
||||
" padding-left: 0.5em;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 0.5em;\n",
|
||||
" }\n",
|
||||
" ul li{\n",
|
||||
" padding-left: 0.5em;\n",
|
||||
" margin-bottom: 0.5em;\n",
|
||||
" margin-top: 0.2em;\n",
|
||||
" }\n",
|
||||
" a:link{\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" a:visited{\n",
|
||||
" color: #1d3b84;\n",
|
||||
" }\n",
|
||||
" a:hover{\n",
|
||||
" color: #1d3b84;\n",
|
||||
" }\n",
|
||||
" a:focus{\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" a:active{\n",
|
||||
" font-weight: bold;\n",
|
||||
" color:#447adb;\n",
|
||||
" }\n",
|
||||
" .rendered_html :link {\n",
|
||||
" text-decoration: underline;\n",
|
||||
" }\n",
|
||||
" .rendered_html :hover {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :visited {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :focus {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .rendered_html :active {\n",
|
||||
" text-decoration: none;\n",
|
||||
" }\n",
|
||||
" .warning{\n",
|
||||
" color: rgb( 240, 20, 20 )\n",
|
||||
" }\n",
|
||||
" hr {\n",
|
||||
" color: #f3f3f3;\n",
|
||||
" background-color: #f3f3f3;\n",
|
||||
" height: 1px;\n",
|
||||
" }\n",
|
||||
" blockquote{\n",
|
||||
" display:block;\n",
|
||||
" background: #fcfcfc;\n",
|
||||
" border-left: 5px solid #c76c0c;\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" width:680px;\n",
|
||||
" padding: 10px 10px 10px 10px;\n",
|
||||
" text-align:justify;\n",
|
||||
" text-justify:inter-word;\n",
|
||||
" }\n",
|
||||
" blockquote p {\n",
|
||||
" margin-bottom: 0;\n",
|
||||
" line-height: 125%;\n",
|
||||
" font-size: 100%;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
||||
"<script>\n",
|
||||
" MathJax.Hub.Config({\n",
|
||||
" TeX: {\n",
|
||||
" extensions: [\"AMSmath.js\"],\n",
|
||||
" equationNumbers: { autoNumber: \"AMS\", useLabelIds: true}\n",
|
||||
" },\n",
|
||||
" tex2jax: {\n",
|
||||
" inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
|
||||
" displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\n",
|
||||
" },\n",
|
||||
" displayAlign: 'center', // Change this to 'center' to center equations.\n",
|
||||
" \"HTML-CSS\": {\n",
|
||||
" scale: 95,\n",
|
||||
" availableFonts: [],\n",
|
||||
" preferredFont:null,\n",
|
||||
" webFont: \"TeX\",\n",
|
||||
" styles: {'.MathJax_Display': {\"margin\": 4}}\n",
|
||||
" },\n",
|
||||
" \"fast-preview\": {\n",
|
||||
" \"disabled\": false\n",
|
||||
" }\n",
|
||||
" });\n",
|
||||
"</script>\n"
|
||||
" <style>\n",
|
||||
" .output_wrapper, .output {\n",
|
||||
" height:auto !important;\n",
|
||||
" max-height:100000px; \n",
|
||||
" }\n",
|
||||
" .output_scroll {\n",
|
||||
" box-shadow:none !important;\n",
|
||||
" webkit-box-shadow:none !important;\n",
|
||||
" }\n",
|
||||
" </style>\n",
|
||||
" "
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 1,
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"#format the book\n",
|
||||
"%matplotlib inline\n",
|
||||
"from __future__ import division, print_function\n",
|
||||
"from book_format import load_style\n",
|
||||
"load_style()"
|
||||
"import book_format\n",
|
||||
"book_format.set_style()"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -317,7 +109,7 @@
|
|||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.4"
|
||||
"version": "3.6.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
|
|
|||
|
|
@ -312,7 +312,7 @@
|
|||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.4"
|
||||
"version": "3.6.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@ import numpy as np
|
|||
import os.path
|
||||
import sys
|
||||
import warnings
|
||||
from kf_book.book_plots import set_figsize, reset_axis
|
||||
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
|
||||
|
|
@ -59,16 +59,14 @@ def test_filterpy_version():
|
|||
test_filterpy_version()
|
||||
|
||||
pylab.rcParams['figure.max_open_warning'] = 50
|
||||
pylab.rcParams['figure.figsize'] = 8, 3
|
||||
|
||||
|
||||
|
||||
@contextmanager
|
||||
def numpy_precision(precision):
|
||||
old = np.get_printoptions()['precision']
|
||||
np.set_printoptions(precision=precision)
|
||||
yield
|
||||
np.set_printoptions(old)
|
||||
old = np.get_printoptions()['precision']
|
||||
np.set_printoptions(precision=precision)
|
||||
yield
|
||||
np.set_printoptions(old)
|
||||
|
||||
@contextmanager
|
||||
def printoptions(*args, **kwargs):
|
||||
|
|
@ -104,26 +102,37 @@ def _decode_dict(data):
|
|||
return rv
|
||||
|
||||
|
||||
def load_style(directory = '.', name='kf_book/custom.css'):
|
||||
version = [int(version_no) for version_no in matplotlib.__version__.split('.')]
|
||||
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(os.path.join(directory, "kf_book/538.json")))
|
||||
else:
|
||||
style = json.load(open(directory + "/kf_book/538.json"), object_hook=_decode_dict)
|
||||
plt.rcParams.update(style)
|
||||
except:
|
||||
pass
|
||||
set_figsize()
|
||||
reset_axis ()
|
||||
np.set_printoptions(suppress=True, precision=3,
|
||||
threshold=10000., linewidth=70,
|
||||
formatter={'float':lambda x:' {:.3}'.format(x)})
|
||||
styles = open(os.path.join(directory, name), 'r').read()
|
||||
set_figsize()
|
||||
# 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)
|
||||
return HTML(styles)
|
||||
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)
|
||||
|
|
|
|||
|
|
@ -34,31 +34,26 @@ except:
|
|||
pass
|
||||
|
||||
|
||||
def equal_axis(sz=10):
|
||||
_default_size=(9, 4)
|
||||
def equal_axis(sz=_default_size[0]):
|
||||
""" set size of axis in inches, using the same for each"""
|
||||
pylab.rcParams['figure.figsize'] = sz, sz
|
||||
plt.axis('equal')
|
||||
|
||||
|
||||
def reset_axis():
|
||||
""" reest axis size in inches to the default size for the book"""
|
||||
pylab.rcParams['figure.figsize'] = 8, 3
|
||||
|
||||
|
||||
def reset_figsize():
|
||||
""" reest axis size in inches to the default size for the book"""
|
||||
pylab.rcParams['figure.figsize'] = 8, 3
|
||||
mpl.rcParams['figure.figsize'] = _default_size
|
||||
|
||||
|
||||
def set_figsize(x=10, y=4):
|
||||
def set_figsize(x=_default_size[0], y=_default_size[1]):
|
||||
""" set the figure size of the plot to the specified size in inches"""
|
||||
|
||||
pylab.rcParams['figure.figsize'] = x, y
|
||||
mpl.rcParams['figure.figsize'] = x, y
|
||||
|
||||
|
||||
@contextmanager
|
||||
def figsize(x=8, y=3):
|
||||
"""Temporarily set the figure size using 'with figsize(a,b):'"""
|
||||
"""Temporarily set the figure size using 'with figsize(a, b):'"""
|
||||
|
||||
size = pylab.rcParams['figure.figsize']
|
||||
set_figsize(x, y)
|
||||
|
|
@ -75,37 +70,6 @@ type output into the notebook."""
|
|||
IS_INLINE = mpl.get_backend().find('backend_inline') != -1
|
||||
|
||||
|
||||
def end_interactive(fig):
|
||||
""" end interaction in a plot created with %matplotlib notebook """
|
||||
|
||||
if IS_INLINE:
|
||||
return
|
||||
|
||||
fig.canvas.draw()
|
||||
time.sleep(1.)
|
||||
plt.close(fig)
|
||||
|
||||
|
||||
@contextmanager
|
||||
def interactive_plot(close=True, fig=None):
|
||||
if fig is None and not IS_INLINE:
|
||||
fig = plt.figure()
|
||||
|
||||
yield
|
||||
try:
|
||||
# if the figure only uses annotations tight_output
|
||||
# throws an exception
|
||||
if not IS_INLINE: plt.tight_layout()
|
||||
except:
|
||||
pass
|
||||
|
||||
if not IS_INLINE:
|
||||
plt.show()
|
||||
|
||||
if close and not IS_INLINE:
|
||||
end_interactive(fig)
|
||||
|
||||
|
||||
def plot_errorbars(bars, xlims, ylims=(-1, 1)):
|
||||
"""Plots a list of error bars with optional x and y limits.
|
||||
The list `bars` is a list of tuples (or any iterable) containing
|
||||
|
|
@ -150,17 +114,17 @@ def plot_errorbars(bars, xlims, ylims=(-1, 1)):
|
|||
def predict_update_chart(box_bg = '#CCCCCC',
|
||||
arrow1 = '#88CCFF',
|
||||
arrow2 = '#88FF88'):
|
||||
plt.figure(figsize=(4,4), facecolor='w')
|
||||
plt.figure(figsize=(4, 4), facecolor='w')
|
||||
ax = plt.axes((0, 0, 1, 1),
|
||||
xticks=[], yticks=[], frameon=False)
|
||||
|
||||
pc = Circle((4,5), 0.7, fc=box_bg)
|
||||
uc = Circle((6,5), 0.7, fc=box_bg)
|
||||
pc = Circle((4, 5), 0.7, fc=box_bg)
|
||||
uc = Circle((6, 5), 0.7, fc=box_bg)
|
||||
ax.add_patch (pc)
|
||||
ax.add_patch (uc)
|
||||
|
||||
plt.text(4,5, "Predict\nStep",ha='center', va='center', fontsize=12)
|
||||
plt.text(6,5, "Update\nStep",ha='center', va='center', fontsize=12)
|
||||
plt.text(4, 5, "Predict\nStep",ha='center', va='center', fontsize=12)
|
||||
plt.text(6, 5, "Update\nStep",ha='center', va='center', fontsize=12)
|
||||
|
||||
#btm arrow from update to predict
|
||||
ax.annotate('',
|
||||
|
|
@ -214,14 +178,14 @@ def predict_update_chart(box_bg = '#CCCCCC',
|
|||
|
||||
def show_residual_chart(show_eq=True, show_H=False):
|
||||
plt.figure(figsize=(11, 3.), facecolor='w')
|
||||
est_y = ((164.2-158)*.8 + 158)
|
||||
est_y = ((164.2 - 158)*.8 + 158)
|
||||
|
||||
ax = plt.axes(xticks=[], yticks=[], frameon=False)
|
||||
ax.annotate('', xy=[1,159], xytext=[0,158],
|
||||
ax.annotate('', xy=[1,159], xytext=[0, 158],
|
||||
arrowprops=dict(arrowstyle='->',
|
||||
ec='r', lw=3, shrinkA=6, shrinkB=5))
|
||||
|
||||
ax.annotate('', xy=[1,159], xytext=[1,164.2],
|
||||
ax.annotate('', xy=[1, 159], xytext=[1, 164.2],
|
||||
arrowprops=dict(arrowstyle='-',
|
||||
ec='k', lw=3, shrinkA=8, shrinkB=8))
|
||||
|
||||
|
|
|
|||
|
|
@ -27,7 +27,7 @@ def plot_height_std(x, lw=10):
|
|||
|
||||
for i, height in enumerate(x):
|
||||
plt.plot([i+1, i+1], [0, height], color='k', lw=lw)
|
||||
plt.xlim(0,len(x)+1)
|
||||
plt.xlim(0, len(x)+1)
|
||||
plt.axhline(m-s, ls='--')
|
||||
plt.axhline(m+s, ls='--')
|
||||
plt.fill_between((0, len(x)+1), m-s, m+s,
|
||||
|
|
|
|||
Loading…
Reference in New Issue