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<html>
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<head>
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<style type="text/css">
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/**
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* HTML5 ✰ Boilerplate
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*
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* style.css contains a reset, font normalization and some base styles.
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*
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* Credit is left where credit is due.
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* Much inspiration was taken from these projects:
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* - yui.yahooapis.com/2.8.1/build/base/base.css
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* - camendesign.com/design/
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* - praegnanz.de/weblog/htmlcssjs-kickstart
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*/
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/**
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* html5doctor.com Reset Stylesheet (Eric Meyer's Reset Reloaded + HTML5 baseline)
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* v1.6.1 2010-09-17 | Authors: Eric Meyer & Richard Clark
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* html5doctor.com/html-5-reset-stylesheet/
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*/
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html, body, div, span, object, iframe,
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h1, h2, h3, h4, h5, h6, p, blockquote, pre,
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abbr, address, cite, code, del, dfn, em, img, ins, kbd, q, samp,
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small, strong, sub, sup, var, b, i, dl, dt, dd, ol, ul, li,
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fieldset, form, label, legend,
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table, caption, tbody, tfoot, thead, tr, th, td,
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article, aside, canvas, details, figcaption, figure,
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footer, header, hgroup, menu, nav, section, summary,
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time, mark, audio, video {
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margin: 0;
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padding: 0;
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border: 0;
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font-size: 100%;
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font: inherit;
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vertical-align: baseline;
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}
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sup { vertical-align: super; }
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sub { vertical-align: sub; }
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article, aside, details, figcaption, figure,
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footer, header, hgroup, menu, nav, section {
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display: block;
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}
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blockquote, q { quotes: none; }
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blockquote:before, blockquote:after,
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q:before, q:after { content: ""; content: none; }
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ins { background-color: #ff9; color: #000; text-decoration: none; }
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mark { background-color: #ff9; color: #000; font-style: italic; font-weight: bold; }
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del { text-decoration: line-through; }
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abbr[title], dfn[title] { border-bottom: 1px dotted; cursor: help; }
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table { border-collapse: collapse; border-spacing: 0; }
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hr { display: block; height: 1px; border: 0; border-top: 1px solid #ccc; margin: 1em 0; padding: 0; }
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input, select { vertical-align: middle; }
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/**
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* Font normalization inspired by YUI Library's fonts.css: developer.yahoo.com/yui/
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*/
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body { font:13px/1.231 sans-serif; *font-size:small; } /* Hack retained to preserve specificity */
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select, input, textarea, button { font:99% sans-serif; }
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/* Normalize monospace sizing:
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en.wikipedia.org/wiki/MediaWiki_talk:Common.css/Archive_11#Teletype_style_fix_for_Chrome */
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pre, code, kbd, samp { font-family: monospace, sans-serif; }
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em,i { font-style: italic; }
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b,strong { font-weight: bold; }
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</style>
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<style type="text/css">
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/* Flexible box model classes */
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/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
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.hbox {
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display: -webkit-box;
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-webkit-box-orient: horizontal;
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-webkit-box-align: stretch;
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display: -moz-box;
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-moz-box-orient: horizontal;
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-moz-box-align: stretch;
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display: box;
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box-orient: horizontal;
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box-align: stretch;
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}
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.hbox > * {
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-webkit-box-flex: 0;
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-moz-box-flex: 0;
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box-flex: 0;
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}
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.vbox {
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display: -webkit-box;
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-webkit-box-orient: vertical;
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-webkit-box-align: stretch;
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display: -moz-box;
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-moz-box-orient: vertical;
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-moz-box-align: stretch;
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display: box;
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box-orient: vertical;
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box-align: stretch;
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}
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.vbox > * {
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-webkit-box-flex: 0;
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-moz-box-flex: 0;
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box-flex: 0;
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}
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.reverse {
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-webkit-box-direction: reverse;
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-moz-box-direction: reverse;
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box-direction: reverse;
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}
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.box-flex0 {
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-webkit-box-flex: 0;
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-moz-box-flex: 0;
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box-flex: 0;
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}
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.box-flex1, .box-flex {
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-webkit-box-flex: 1;
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-moz-box-flex: 1;
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box-flex: 1;
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}
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.box-flex2 {
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-webkit-box-flex: 2;
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-moz-box-flex: 2;
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box-flex: 2;
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}
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.box-group1 {
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-webkit-box-flex-group: 1;
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-moz-box-flex-group: 1;
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box-flex-group: 1;
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}
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.box-group2 {
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-webkit-box-flex-group: 2;
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-moz-box-flex-group: 2;
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box-flex-group: 2;
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}
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.start {
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-webkit-box-pack: start;
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-moz-box-pack: start;
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box-pack: start;
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}
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.end {
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-webkit-box-pack: end;
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-moz-box-pack: end;
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box-pack: end;
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}
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.center {
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-webkit-box-pack: center;
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-moz-box-pack: center;
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box-pack: center;
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}
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</style>
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<style type="text/css">
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/**
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* Primary styles
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*
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* Author: IPython Development Team
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*/
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body {
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overflow: hidden;
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}
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blockquote {
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border-left: 4px solid #DDD;
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padding: 0 15px;
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color: #777;
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}
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span#save_widget {
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padding: 5px;
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margin: 0px 0px 0px 300px;
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display:inline-block;
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}
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span#notebook_name {
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height: 1em;
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line-height: 1em;
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padding: 3px;
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border: none;
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font-size: 146.5%;
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}
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.ui-menubar-item .ui-button .ui-button-text {
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padding: 0.4em 1.0em;
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font-size: 100%;
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}
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.ui-menu {
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-moz-box-shadow: 0px 6px 10px -1px #adadad;
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-webkit-box-shadow: 0px 6px 10px -1px #adadad;
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box-shadow: 0px 6px 10px -1px #adadad;
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}
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.ui-menu .ui-menu-item a {
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border: 1px solid transparent;
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padding: 2px 1.6em;
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}
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.ui-menu .ui-menu-item a.ui-state-focus {
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margin: 0;
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}
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.ui-menu hr {
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margin: 0.3em 0;
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}
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#menubar_container {
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position: relative;
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}
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#notification_area {
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position: absolute;
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right: 0px;
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top: 0px;
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height: 25px;
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padding: 3px 0px;
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padding-right: 3px;
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z-index: 10;
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}
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.notification_widget{
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float : right;
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right: 0px;
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top: 1px;
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height: 25px;
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padding: 3px 6px;
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z-index: 10;
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}
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.toolbar {
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padding: 3px 15px;
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}
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#cell_type {
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font-size: 85%;
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}
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div#main_app {
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width: 100%;
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position: relative;
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}
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span#quick_help_area {
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position: static;
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padding: 5px 0px;
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margin: 0px 0px 0px 0px;
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}
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.help_string {
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float: right;
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width: 170px;
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padding: 0px 5px;
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text-align: left;
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font-size: 85%;
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}
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.help_string_label {
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float: right;
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font-size: 85%;
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}
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div#notebook_panel {
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margin: 0px 0px 0px 0px;
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padding: 0px;
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}
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div#notebook {
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overflow-y: scroll;
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overflow-x: auto;
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width: 100%;
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/* This spaces the cell away from the edge of the notebook area */
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padding: 5px 5px 15px 5px;
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margin: 0px;
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background-color: white;
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}
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div#pager_splitter {
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height: 8px;
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}
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#pager_container {
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position : relative;
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}
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div#pager {
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padding: 15px;
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overflow: auto;
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display: none;
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}
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div.ui-widget-content {
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border: 1px solid #aaa;
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outline: none;
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}
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.cell {
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border: 1px solid transparent;
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}
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div.cell {
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width: 100%;
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padding: 5px 5px 5px 0px;
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/* This acts as a spacer between cells, that is outside the border */
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margin: 2px 0px 2px 0px;
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}
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div.code_cell {
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background-color: white;
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}
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/* any special styling for code cells that are currently running goes here */
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div.code_cell.running {
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}
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div.prompt {
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/* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
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width: 11ex;
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/* This 0.4em is tuned to match the padding on the CodeMirror editor. */
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padding: 0.4em;
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margin: 0px;
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font-family: monospace;
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text-align:right;
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}
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div.input {
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page-break-inside: avoid;
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}
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/* input_area and input_prompt must match in top border and margin for alignment */
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div.input_area {
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color: black;
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border: 1px solid #ddd;
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border-radius: 3px;
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background: #f7f7f7;
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}
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div.input_prompt {
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color: navy;
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border-top: 1px solid transparent;
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}
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div.output_wrapper {
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/* This is a spacer between the input and output of each cell */
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margin-top: 5px;
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margin-left: 5px;
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/* FF needs explicit width to stretch */
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width: 100%;
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/* this position must be relative to enable descendents to be absolute within it */
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position: relative;
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}
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/* class for the output area when it should be height-limited */
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div.output_scroll {
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/* ideally, this would be max-height, but FF barfs all over that */
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height: 24em;
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/* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
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width: 100%;
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overflow: auto;
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border-radius: 3px;
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box-shadow: inset 0 2px 8px rgba(0, 0, 0, .8);
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}
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/* output div while it is collapsed */
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div.output_collapsed {
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margin-right: 5px;
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}
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div.out_prompt_overlay {
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height: 100%;
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padding: 0px;
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position: absolute;
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border-radius: 3px;
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}
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div.out_prompt_overlay:hover {
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/* use inner shadow to get border that is computed the same on WebKit/FF */
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box-shadow: inset 0 0 1px #000;
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background: rgba(240, 240, 240, 0.5);
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}
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div.output_prompt {
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color: darkred;
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/* 5px right shift to account for margin in parent container */
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margin: 0 5px 0 -5px;
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}
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/* This class is the outer container of all output sections. */
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div.output_area {
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padding: 0px;
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page-break-inside: avoid;
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}
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/* This class is for the output subarea inside the output_area and after
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the prompt div. */
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div.output_subarea {
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padding: 0.44em 0.4em 0.4em 1px;
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}
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/* The rest of the output_* classes are for special styling of the different
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output types */
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/* all text output has this class: */
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div.output_text {
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text-align: left;
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color: black;
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font-family: monospace;
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}
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/* stdout/stderr are 'text' as well as 'stream', but pyout/pyerr are *not* streams */
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div.output_stream {
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padding-top: 0.0em;
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padding-bottom: 0.0em;
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}
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div.output_stdout {
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}
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div.output_stderr {
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background: #fdd; /* very light red background for stderr */
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}
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div.output_latex {
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text-align: left;
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color: black;
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}
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div.output_html {
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}
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div.output_png {
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}
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div.output_jpeg {
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}
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div.text_cell {
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background-color: white;
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padding: 5px 5px 5px 5px;
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}
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div.text_cell_input {
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|
color: black;
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|
|
border: 1px solid #ddd;
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|
border-radius: 3px;
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|
background: #f7f7f7;
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}
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div.text_cell_render {
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|
|
font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;
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|
|
outline: none;
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|
resize: none;
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|
width: inherit;
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|
|
border-style: none;
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|
|
padding: 5px;
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|
color: black;
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|
}
|
|
|
|
|
|
/* The following gets added to the <head> if it is detected that the user has a
|
|
|
* monospace font with inconsistent normal/bold/italic height. See
|
|
|
* notebookmain.js. Such fonts will have keywords vertically offset with
|
|
|
* respect to the rest of the text. The user should select a better font.
|
|
|
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<style type="text/css">
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<script src="https://c328740.ssl.cf1.rackcdn.com/mathjax/latest/MathJax.js?config=TeX-AMS_HTML" type="text/javascript">
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</script>
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<script type="text/javascript">
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init_mathjax = function() {
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if (window.MathJax) {
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},
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displayAlign: 'left', // Change this to 'center' to center equations.
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"HTML-CSS": {
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styles: {'.MathJax_Display': {"margin": 0}}
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</head>
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|
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<body>
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<div class="text_cell_render border-box-sizing rendered_html">
|
|
|
<h1>
|
|
|
XKCD plots in Matplotlib
|
|
|
</h1>
|
|
|
</div>
|
|
|
<div class="text_cell_render border-box-sizing rendered_html">
|
|
|
<p>This notebook originally appeared as a blog post at <a href="http://jakevdp.github.com/blog/2012/10/07/xkcd-style-plots-in-matplotlib/">Pythonic Perambulations</a> by Jake Vanderplas.</p>
|
|
|
</div>
|
|
|
<div class="text_cell_render border-box-sizing rendered_html">
|
|
|
<p>One of the problems I've had with typical matplotlib figures is that everything in them is so precise, so perfect. For an example of what I mean, take a look at this figure:</p>
|
|
|
</div>
|
|
|
<div class="cell border-box-sizing code_cell vbox">
|
|
|
<div class="input hbox">
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|
|
<div class="prompt input_prompt">In [1]:</div>
|
|
|
<div class="input_area box-flex1">
|
|
|
<div class="highlight"><pre><span class="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">Image</span>
|
|
|
<span class="n">Image</span><span class="p">(</span><span class="s">'http://jakevdp.github.com/figures/xkcd_version.png'</span><span class="p">)</span>
|
|
|
</pre></div>
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|
</div>
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</div>
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<div class="vbox output_wrapper">
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<div class="output vbox">
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|
<div class="hbox output_area">
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<div class="prompt output_prompt">Out[1]:</div>
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<div class="output_subarea output_pyout">
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<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAbAAAAEgCAYAAADVKCZpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
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"></img>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="text_cell_render border-box-sizing rendered_html">
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<p>Sometimes when showing schematic plots, this is the type of figure I want to display. But drawing it by hand is a pain: I'd rather just use matplotlib. The problem is, matplotlib is a bit too precise. Attempting to duplicate this figure in matplotlib leads to something like this:</p>
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</div>
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<div class="cell border-box-sizing code_cell vbox">
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<div class="input hbox">
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<div class="prompt input_prompt">In [2]:</div>
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<div class="input_area box-flex1">
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<div class="highlight"><pre><span class="n">Image</span><span class="p">(</span><span class="s">'http://jakevdp.github.com/figures/mpl_version.png'</span><span class="p">)</span>
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</pre></div>
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</div>
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</div>
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<div class="output vbox">
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<div class="hbox output_area">
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<div class="prompt output_prompt">Out[2]:</div>
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<div class="output_subarea output_pyout">
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<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAbAAAAEgCAYAAADVKCZpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz
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SUVORK5CYII=
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"></img>
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</div>
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</div>
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</div>
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</div>
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</div>
|
|
|
<div class="text_cell_render border-box-sizing rendered_html">
|
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<p>It just doesn't have the same effect. Matplotlib is great for scientific plots, but sometimes you don't want to be so precise.</p>
|
|
|
<p>This subject has recently come up on the matplotlib mailing list, and started some interesting discussions.
|
|
|
As near as I can tell, this started with a thread on a
|
|
|
<a href="http://mathematica.stackexchange.com/questions/11350/xkcd-style-graphs">mathematica list</a>
|
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|
which prompted a thread on the <a href="http://matplotlib.1069221.n5.nabble.com/XKCD-style-graphs-td39226.html">matplotlib list</a>
|
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wondering if the same could be done in matplotlib.</p>
|
|
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<p>Damon McDougall offered a quick
|
|
|
<a href="http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg25499.html">solution</a>
|
|
|
which was improved by Fernando Perez in <a href="http://nbviewer.ipython.org/3835181/">this notebook</a>, and
|
|
|
within a few days there was a <a href="https://github.com/matplotlib/matplotlib/pull/1329">matplotlib pull request</a> offering a very general
|
|
|
way to create sketch-style plots in matplotlib. Only a few days from a cool idea to a
|
|
|
working implementation: this is one of the most incredible aspects of package development on github.</p>
|
|
|
<p>The pull request looks really nice, but will likely not be included in a released version of
|
|
|
matplotlib until at least version 1.3. In the mean-time, I wanted a way to play around with
|
|
|
these types of plots in a way that is compatible with the current release of matplotlib. To do that,
|
|
|
I created the following code:</p>
|
|
|
</div>
|
|
|
<div class="text_cell_render border-box-sizing rendered_html">
|
|
|
<h2>
|
|
|
The Code: XKCDify
|
|
|
</h2>
|
|
|
</div>
|
|
|
<div class="text_cell_render border-box-sizing rendered_html">
|
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|
<p>XKCDify will take a matplotlib <code>Axes</code> instance, and modify the plot elements in-place to make
|
|
|
them look hand-drawn.
|
|
|
First off, we'll need to make sure we have the Humor Sans font.
|
|
|
It can be downloaded using the command below.</p>
|
|
|
<p>Next we'll create a function <code>xkcd_line</code> to add jitter to lines. We want this to be very general, so
|
|
|
we'll normalize the size of the lines, and use a low-pass filter to add correlated noise, perpendicular
|
|
|
to the direction of the line. There are a few parameters for this filter that can be tweaked to
|
|
|
customize the appearance of the jitter.</p>
|
|
|
<p>Finally, we'll create a function which accepts a matplotlib axis, and calls <code>xkcd_line</code> on
|
|
|
all lines in the axis. Additionally, we'll switch the font of all text in the axes, and add
|
|
|
some background lines for a nice effect where lines cross. We'll also draw axes, and move the
|
|
|
axes labels and titles to the appropriate location.</p>
|
|
|
</div>
|
|
|
<div class="cell border-box-sizing code_cell vbox">
|
|
|
<div class="input hbox">
|
|
|
<div class="prompt input_prompt">In [3]:</div>
|
|
|
<div class="input_area box-flex1">
|
|
|
<div class="highlight"><pre><span class="sd">"""</span>
|
|
|
<span class="sd">XKCD plot generator</span>
|
|
|
<span class="sd">-------------------</span>
|
|
|
<span class="sd">Author: Jake Vanderplas</span>
|
|
|
|
|
|
<span class="sd">This is a script that will take any matplotlib line diagram, and convert it</span>
|
|
|
<span class="sd">to an XKCD-style plot. It will work for plots with line & text elements,</span>
|
|
|
<span class="sd">including axes labels and titles (but not axes tick labels).</span>
|
|
|
|
|
|
<span class="sd">The idea for this comes from work by Damon McDougall</span>
|
|
|
<span class="sd"> http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg25499.html</span>
|
|
|
<span class="sd">"""</span>
|
|
|
<span class="kn">import</span> <span class="nn">numpy</span> <span class="kn">as</span> <span class="nn">np</span>
|
|
|
<span class="kn">import</span> <span class="nn">pylab</span> <span class="kn">as</span> <span class="nn">pl</span>
|
|
|
<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">interpolate</span><span class="p">,</span> <span class="n">signal</span>
|
|
|
<span class="kn">import</span> <span class="nn">matplotlib.font_manager</span> <span class="kn">as</span> <span class="nn">fm</span>
|
|
|
|
|
|
|
|
|
<span class="c"># We need a special font for the code below. It can be downloaded this way:</span>
|
|
|
<span class="kn">import</span> <span class="nn">os</span>
|
|
|
<span class="kn">import</span> <span class="nn">urllib2</span>
|
|
|
<span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="s">'Humor-Sans.ttf'</span><span class="p">):</span>
|
|
|
<span class="n">fhandle</span> <span class="o">=</span> <span class="n">urllib2</span><span class="o">.</span><span class="n">urlopen</span><span class="p">(</span><span class="s">'http://antiyawn.com/uploads/Humor-Sans.ttf'</span><span class="p">)</span>
|
|
|
<span class="nb">open</span><span class="p">(</span><span class="s">'Humor-Sans.ttf'</span><span class="p">,</span> <span class="s">'wb'</span><span class="p">)</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">fhandle</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
|
|
|
|
|
|
|
|
|
<span class="k">def</span> <span class="nf">xkcd_line</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">xlim</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">ylim</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
|
|
|
<span class="n">mag</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">f1</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">f2</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">f3</span><span class="o">=</span><span class="mi">15</span><span class="p">):</span>
|
|
|
<span class="sd">"""</span>
|
|
|
<span class="sd"> Mimic a hand-drawn line from (x, y) data</span>
|
|
|
|
|
|
<span class="sd"> Parameters</span>
|
|
|
<span class="sd"> ----------</span>
|
|
|
<span class="sd"> x, y : array_like</span>
|
|
|
<span class="sd"> arrays to be modified</span>
|
|
|
<span class="sd"> xlim, ylim : data range</span>
|
|
|
<span class="sd"> the assumed plot range for the modification. If not specified,</span>
|
|
|
<span class="sd"> they will be guessed from the data</span>
|
|
|
<span class="sd"> mag : float</span>
|
|
|
<span class="sd"> magnitude of distortions</span>
|
|
|
<span class="sd"> f1, f2, f3 : int, float, int</span>
|
|
|
<span class="sd"> filtering parameters. f1 gives the size of the window, f2 gives</span>
|
|
|
<span class="sd"> the high-frequency cutoff, f3 gives the size of the filter</span>
|
|
|
<span class="sd"> </span>
|
|
|
<span class="sd"> Returns</span>
|
|
|
<span class="sd"> -------</span>
|
|
|
<span class="sd"> x, y : ndarrays</span>
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|
|
<span class="sd"> The modified lines</span>
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|
|
<span class="sd"> """</span>
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|
<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
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|
<span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">y</span><span class="p">)</span>
|
|
|
|
|
|
<span class="c"># get limits for rescaling</span>
|
|
|
<span class="k">if</span> <span class="n">xlim</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
|
|
|
<span class="n">xlim</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">x</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
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|
|
<span class="k">if</span> <span class="n">ylim</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
|
|
|
<span class="n">ylim</span> <span class="o">=</span> <span class="p">(</span><span class="n">y</span><span class="o">.</span><span class="n">min</span><span class="p">(),</span> <span class="n">y</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
|
|
|
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|
|
<span class="k">if</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
|
|
|
<span class="n">xlim</span> <span class="o">=</span> <span class="n">ylim</span>
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|
|
|
|
<span class="k">if</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span>
|
|
|
<span class="n">ylim</span> <span class="o">=</span> <span class="n">xlim</span>
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|
|
|
|
<span class="c"># scale the data</span>
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|
|
<span class="n">x_scaled</span> <span class="o">=</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">*</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
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|
<span class="n">y_scaled</span> <span class="o">=</span> <span class="p">(</span><span class="n">y</span> <span class="o">-</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">*</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
|
|
|
|
|
|
<span class="c"># compute the total distance along the path</span>
|
|
|
<span class="n">dx</span> <span class="o">=</span> <span class="n">x_scaled</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x_scaled</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
|
|
<span class="n">dy</span> <span class="o">=</span> <span class="n">y_scaled</span><span class="p">[</span><span class="mi">1</span><span class="p">:]</span> <span class="o">-</span> <span class="n">y_scaled</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
|
|
<span class="n">dist_tot</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">dx</span> <span class="o">*</span> <span class="n">dx</span> <span class="o">+</span> <span class="n">dy</span> <span class="o">*</span> <span class="n">dy</span><span class="p">))</span>
|
|
|
|
|
|
<span class="c"># number of interpolated points is proportional to the distance</span>
|
|
|
<span class="n">Nu</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="mi">200</span> <span class="o">*</span> <span class="n">dist_tot</span><span class="p">)</span>
|
|
|
<span class="n">u</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">Nu</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="o">*</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="n">Nu</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
|
|
|
|
|
|
<span class="c"># interpolate curve at sampled points</span>
|
|
|
<span class="n">k</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
|
|
|
<span class="n">res</span> <span class="o">=</span> <span class="n">interpolate</span><span class="o">.</span><span class="n">splprep</span><span class="p">([</span><span class="n">x_scaled</span><span class="p">,</span> <span class="n">y_scaled</span><span class="p">],</span> <span class="n">s</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="n">k</span><span class="p">)</span>
|
|
|
<span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span> <span class="o">=</span> <span class="n">interpolate</span><span class="o">.</span><span class="n">splev</span><span class="p">(</span><span class="n">u</span><span class="p">,</span> <span class="n">res</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
|
|
|
|
|
|
<span class="c"># we'll perturb perpendicular to the drawn line</span>
|
|
|
<span class="n">dx</span> <span class="o">=</span> <span class="n">x_int</span><span class="p">[</span><span class="mi">2</span><span class="p">:]</span> <span class="o">-</span> <span class="n">x_int</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span>
|
|
|
<span class="n">dy</span> <span class="o">=</span> <span class="n">y_int</span><span class="p">[</span><span class="mi">2</span><span class="p">:]</span> <span class="o">-</span> <span class="n">y_int</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span>
|
|
|
<span class="n">dist</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">dx</span> <span class="o">*</span> <span class="n">dx</span> <span class="o">+</span> <span class="n">dy</span> <span class="o">*</span> <span class="n">dy</span><span class="p">)</span>
|
|
|
|
|
|
<span class="c"># create a filtered perturbation</span>
|
|
|
<span class="n">coeffs</span> <span class="o">=</span> <span class="n">mag</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">x_int</span><span class="p">)</span> <span class="o">-</span> <span class="mi">2</span><span class="p">)</span>
|
|
|
<span class="n">b</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">firwin</span><span class="p">(</span><span class="n">f1</span><span class="p">,</span> <span class="n">f2</span> <span class="o">*</span> <span class="n">dist_tot</span><span class="p">,</span> <span class="n">window</span><span class="o">=</span><span class="p">(</span><span class="s">'kaiser'</span><span class="p">,</span> <span class="n">f3</span><span class="p">))</span>
|
|
|
<span class="n">response</span> <span class="o">=</span> <span class="n">signal</span><span class="o">.</span><span class="n">lfilter</span><span class="p">(</span><span class="n">b</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">coeffs</span><span class="p">)</span>
|
|
|
|
|
|
<span class="n">x_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="n">response</span> <span class="o">*</span> <span class="n">dy</span> <span class="o">/</span> <span class="n">dist</span>
|
|
|
<span class="n">y_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+=</span> <span class="n">response</span> <span class="o">*</span> <span class="n">dx</span> <span class="o">/</span> <span class="n">dist</span>
|
|
|
|
|
|
<span class="c"># un-scale data</span>
|
|
|
<span class="n">x_int</span> <span class="o">=</span> <span class="n">x_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">+</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
|
<span class="n">y_int</span> <span class="o">=</span> <span class="n">y_int</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">*</span> <span class="p">(</span><span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">+</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
|
|
|
|
<span class="k">return</span> <span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span>
|
|
|
|
|
|
|
|
|
<span class="k">def</span> <span class="nf">XKCDify</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">mag</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
|
|
|
<span class="n">f1</span><span class="o">=</span><span class="mi">50</span><span class="p">,</span> <span class="n">f2</span><span class="o">=</span><span class="mf">0.01</span><span class="p">,</span> <span class="n">f3</span><span class="o">=</span><span class="mi">15</span><span class="p">,</span>
|
|
|
<span class="n">bgcolor</span><span class="o">=</span><span class="s">'w'</span><span class="p">,</span>
|
|
|
<span class="n">xaxis_loc</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
|
|
|
<span class="n">yaxis_loc</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span>
|
|
|
<span class="n">xaxis_arrow</span><span class="o">=</span><span class="s">'+'</span><span class="p">,</span>
|
|
|
<span class="n">yaxis_arrow</span><span class="o">=</span><span class="s">'+'</span><span class="p">,</span>
|
|
|
<span class="n">ax_extend</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
|
|
|
<span class="n">expand_axes</span><span class="o">=</span><span class="bp">False</span><span class="p">):</span>
|
|
|
<span class="sd">"""Make axis look hand-drawn</span>
|
|
|
|
|
|
<span class="sd"> This adjusts all lines, text, legends, and axes in the figure to look</span>
|
|
|
<span class="sd"> like xkcd plots. Other plot elements are not modified.</span>
|
|
|
<span class="sd"> </span>
|
|
|
<span class="sd"> Parameters</span>
|
|
|
<span class="sd"> ----------</span>
|
|
|
<span class="sd"> ax : Axes instance</span>
|
|
|
<span class="sd"> the axes to be modified.</span>
|
|
|
<span class="sd"> mag : float</span>
|
|
|
<span class="sd"> the magnitude of the distortion</span>
|
|
|
<span class="sd"> f1, f2, f3 : int, float, int</span>
|
|
|
<span class="sd"> filtering parameters. f1 gives the size of the window, f2 gives</span>
|
|
|
<span class="sd"> the high-frequency cutoff, f3 gives the size of the filter</span>
|
|
|
<span class="sd"> xaxis_loc, yaxis_log : float</span>
|
|
|
<span class="sd"> The locations to draw the x and y axes. If not specified, they</span>
|
|
|
<span class="sd"> will be drawn from the bottom left of the plot</span>
|
|
|
<span class="sd"> xaxis_arrow, yaxis_arrow : str</span>
|
|
|
<span class="sd"> where to draw arrows on the x/y axes. Options are '+', '-', '+-', or ''</span>
|
|
|
<span class="sd"> ax_extend : float</span>
|
|
|
<span class="sd"> How far (fractionally) to extend the drawn axes beyond the original</span>
|
|
|
<span class="sd"> axes limits</span>
|
|
|
<span class="sd"> expand_axes : bool</span>
|
|
|
<span class="sd"> if True, then expand axes to fill the figure (useful if there is only</span>
|
|
|
<span class="sd"> a single axes in the figure)</span>
|
|
|
<span class="sd"> """</span>
|
|
|
<span class="c"># Get axes aspect</span>
|
|
|
<span class="n">ext</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_window_extent</span><span class="p">()</span><span class="o">.</span><span class="n">extents</span>
|
|
|
<span class="n">aspect</span> <span class="o">=</span> <span class="p">(</span><span class="n">ext</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">-</span> <span class="n">ext</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span> <span class="o">/</span> <span class="p">(</span><span class="n">ext</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">-</span> <span class="n">ext</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
|
|
|
|
|
|
<span class="n">xlim</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_xlim</span><span class="p">()</span>
|
|
|
<span class="n">ylim</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_ylim</span><span class="p">()</span>
|
|
|
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|
|
<span class="n">xspan</span> <span class="o">=</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
|
<span class="n">yspan</span> <span class="o">=</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
|
|
|
|
<span class="n">xax_lim</span> <span class="o">=</span> <span class="p">(</span><span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">,</span>
|
|
|
<span class="n">xlim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">)</span>
|
|
|
<span class="n">yax_lim</span> <span class="o">=</span> <span class="p">(</span><span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
|
|
|
<span class="n">ylim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">ax_extend</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">)</span>
|
|
|
|
|
|
<span class="k">if</span> <span class="n">xaxis_loc</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
|
|
|
<span class="n">xaxis_loc</span> <span class="o">=</span> <span class="n">ylim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
|
|
|
|
<span class="k">if</span> <span class="n">yaxis_loc</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
|
|
|
<span class="n">yaxis_loc</span> <span class="o">=</span> <span class="n">xlim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
|
|
|
|
|
<span class="c"># Draw axes</span>
|
|
|
<span class="n">xaxis</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">([</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span> <span class="p">[</span><span class="n">xaxis_loc</span><span class="p">,</span> <span class="n">xaxis_loc</span><span class="p">],</span>
|
|
|
<span class="n">linestyle</span><span class="o">=</span><span class="s">'-'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">'k'</span><span class="p">)</span>
|
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|
<span class="n">yaxis</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">([</span><span class="n">yaxis_loc</span><span class="p">,</span> <span class="n">yaxis_loc</span><span class="p">],</span> <span class="p">[</span><span class="n">yax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]],</span>
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<span class="n">linestyle</span><span class="o">=</span><span class="s">'-'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">'k'</span><span class="p">)</span>
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<span class="c"># Label axes3, 0.5, 'hello', fontsize=14)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">xaxis_loc</span> <span class="o">-</span> <span class="mf">0.02</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_xlabel</span><span class="p">(),</span>
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<span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s">'right'</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s">'top'</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">12</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="n">yaxis_loc</span> <span class="o">-</span> <span class="mf">0.02</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">,</span> <span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_ylabel</span><span class="p">(),</span>
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<span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">,</span> <span class="n">ha</span><span class="o">=</span><span class="s">'right'</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s">'top'</span><span class="p">,</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">78</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s">''</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">''</span><span class="p">)</span>
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<span class="c"># Add title</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.5</span> <span class="o">*</span> <span class="p">(</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">xax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">get_title</span><span class="p">(),</span>
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<span class="n">ha</span><span class="o">=</span><span class="s">'center'</span><span class="p">,</span> <span class="n">va</span><span class="o">=</span><span class="s">'bottom'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s">''</span><span class="p">)</span>
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<span class="n">Nlines</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">ax</span><span class="o">.</span><span class="n">lines</span><span class="p">)</span>
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<span class="n">lines</span> <span class="o">=</span> <span class="p">[</span><span class="n">xaxis</span><span class="p">,</span> <span class="n">yaxis</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="n">ax</span><span class="o">.</span><span class="n">lines</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">Nlines</span><span class="p">)]</span>
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<span class="k">for</span> <span class="n">line</span> <span class="ow">in</span> <span class="n">lines</span><span class="p">:</span>
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<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
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<span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span> <span class="o">=</span> <span class="n">xkcd_line</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">xlim</span><span class="p">,</span> <span class="n">ylim</span><span class="p">,</span>
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<span class="n">mag</span><span class="p">,</span> <span class="n">f1</span><span class="p">,</span> <span class="n">f2</span><span class="p">,</span> <span class="n">f3</span><span class="p">)</span>
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<span class="c"># create foreground and background line</span>
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<span class="n">lw</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">get_linewidth</span><span class="p">()</span>
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<span class="n">line</span><span class="o">.</span><span class="n">set_linewidth</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">lw</span><span class="p">)</span>
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<span class="n">line</span><span class="o">.</span><span class="n">set_data</span><span class="p">(</span><span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span><span class="p">)</span>
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<span class="c"># don't add background line for axes</span>
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<span class="k">if</span> <span class="p">(</span><span class="n">line</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">xaxis</span><span class="p">)</span> <span class="ow">and</span> <span class="p">(</span><span class="n">line</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">yaxis</span><span class="p">):</span>
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<span class="n">line_bg</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">(</span><span class="n">x_int</span><span class="p">,</span> <span class="n">y_int</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">bgcolor</span><span class="p">,</span>
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<span class="n">linewidth</span><span class="o">=</span><span class="mi">8</span> <span class="o">*</span> <span class="n">lw</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">add_line</span><span class="p">(</span><span class="n">line_bg</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">add_line</span><span class="p">(</span><span class="n">line</span><span class="p">)</span>
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<span class="c"># Draw arrow-heads at the end of axes lines</span>
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<span class="n">arr1</span> <span class="o">=</span> <span class="mf">0.03</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">])</span>
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<span class="n">arr2</span> <span class="o">=</span> <span class="mf">0.02</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
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<span class="n">arr1</span><span class="p">[::</span><span class="mi">2</span><span class="p">]</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.005</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
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<span class="n">arr2</span><span class="p">[::</span><span class="mi">2</span><span class="p">]</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.005</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
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<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">xaxis</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
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<span class="k">if</span> <span class="s">'+'</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">xaxis_arrow</span><span class="p">):</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
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<span class="n">y</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
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<span class="n">color</span><span class="o">=</span><span class="s">'k'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
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<span class="k">if</span> <span class="s">'-'</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">xaxis_arrow</span><span class="p">):</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
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<span class="n">y</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
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<span class="n">color</span><span class="o">=</span><span class="s">'k'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
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<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">yaxis</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
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<span class="k">if</span> <span class="s">'+'</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">yaxis_arrow</span><span class="p">):</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
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<span class="n">y</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
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<span class="n">color</span><span class="o">=</span><span class="s">'k'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
|
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|
<span class="k">if</span> <span class="s">'-'</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">yaxis_arrow</span><span class="p">):</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr2</span> <span class="o">*</span> <span class="n">xspan</span> <span class="o">*</span> <span class="n">aspect</span><span class="p">,</span>
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<span class="n">y</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">arr1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
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<span class="n">color</span><span class="o">=</span><span class="s">'k'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
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<span class="c"># Change all the fonts to humor-sans.</span>
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<span class="n">prop</span> <span class="o">=</span> <span class="n">fm</span><span class="o">.</span><span class="n">FontProperties</span><span class="p">(</span><span class="n">fname</span><span class="o">=</span><span class="s">'Humor-Sans.ttf'</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
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<span class="k">for</span> <span class="n">text</span> <span class="ow">in</span> <span class="n">ax</span><span class="o">.</span><span class="n">texts</span><span class="p">:</span>
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<span class="n">text</span><span class="o">.</span><span class="n">set_fontproperties</span><span class="p">(</span><span class="n">prop</span><span class="p">)</span>
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<span class="c"># modify legend</span>
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<span class="n">leg</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">get_legend</span><span class="p">()</span>
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<span class="k">if</span> <span class="n">leg</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
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<span class="n">leg</span><span class="o">.</span><span class="n">set_frame_on</span><span class="p">(</span><span class="bp">False</span><span class="p">)</span>
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<span class="k">for</span> <span class="n">child</span> <span class="ow">in</span> <span class="n">leg</span><span class="o">.</span><span class="n">get_children</span><span class="p">():</span>
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<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">child</span><span class="p">,</span> <span class="n">pl</span><span class="o">.</span><span class="n">Line2D</span><span class="p">):</span>
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<span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">child</span><span class="o">.</span><span class="n">get_data</span><span class="p">()</span>
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<span class="n">child</span><span class="o">.</span><span class="n">set_data</span><span class="p">(</span><span class="n">xkcd_line</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">mag</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">f1</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">f2</span><span class="o">=</span><span class="mf">0.001</span><span class="p">))</span>
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<span class="n">child</span><span class="o">.</span><span class="n">set_linewidth</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">child</span><span class="o">.</span><span class="n">get_linewidth</span><span class="p">())</span>
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<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">child</span><span class="p">,</span> <span class="n">pl</span><span class="o">.</span><span class="n">Text</span><span class="p">):</span>
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<span class="n">child</span><span class="o">.</span><span class="n">set_fontproperties</span><span class="p">(</span><span class="n">prop</span><span class="p">)</span>
|
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|
<span class="c"># Set the axis limits</span>
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|
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">xax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">,</span>
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|
<span class="n">xax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">xspan</span><span class="p">)</span>
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|
<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="n">yax_lim</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">,</span>
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|
<span class="n">yax_lim</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">+</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="n">yspan</span><span class="p">)</span>
|
|
|
|
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|
<span class="c"># adjust the axes</span>
|
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|
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">([])</span>
|
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|
<span class="n">ax</span><span class="o">.</span><span class="n">set_yticks</span><span class="p">([])</span>
|
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<span class="k">if</span> <span class="n">expand_axes</span><span class="p">:</span>
|
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<span class="n">ax</span><span class="o">.</span><span class="n">figure</span><span class="o">.</span><span class="n">set_facecolor</span><span class="p">(</span><span class="n">bgcolor</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_axis_off</span><span class="p">()</span>
|
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|
<span class="n">ax</span><span class="o">.</span><span class="n">set_position</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">])</span>
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|
<span class="k">return</span> <span class="n">ax</span>
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</pre></div>
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<div class="text_cell_render border-box-sizing rendered_html">
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<h2>
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Testing it Out
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</h2>
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<div class="text_cell_render border-box-sizing rendered_html">
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<p>Let's test this out with a simple plot. We'll plot two curves, add some labels,
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and then call <code>XKCDify</code> on the axis. I think the results are pretty nice!</p>
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<div class="cell border-box-sizing code_cell vbox">
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<div class="input hbox">
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<div class="prompt input_prompt">In [4]:</div>
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<div class="input_area box-flex1">
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<div class="highlight"><pre><span class="o">%</span><span class="k">pylab</span> <span class="n">inline</span>
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</pre></div>
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<pre>
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Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].
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For more information, type 'help(pylab)'.
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</pre>
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</div>
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</div>
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<div class="input hbox">
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<div class="prompt input_prompt">In [5]:</div>
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<div class="input_area box-flex1">
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<div class="highlight"><pre><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">seed</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
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<span class="n">ax</span> <span class="o">=</span> <span class="n">pylab</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
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<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.1</span> <span class="o">*</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="mi">5</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">),</span> <span class="s">'b'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">'damped sine'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="o">-</span><span class="n">np</span><span class="o">.</span><span class="n">cos</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.1</span> <span class="o">*</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="mi">5</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span><span class="p">),</span> <span class="s">'r'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">'damped cosine'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s">'check it out!'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s">'x label'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s">'y label'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s">'lower right'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="o">-</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
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<span class="c">#XKCDify the axes -- this operates in-place</span>
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<span class="n">XKCDify</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">xaxis_loc</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> <span class="n">yaxis_loc</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span>
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<span class="n">xaxis_arrow</span><span class="o">=</span><span class="s">'+-'</span><span class="p">,</span> <span class="n">yaxis_arrow</span><span class="o">=</span><span class="s">'+-'</span><span class="p">,</span>
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<span class="n">expand_axes</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
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</pre></div>
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<div class="prompt output_prompt">Out[5]:</div>
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<div class="output_subarea output_pyout">
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<pre><matplotlib.axes.AxesSubplot at 0x2fecbd0></pre>
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MVancOJjjDFWp3DiY4wxVqdw4mOMMVancOJjjDFWp3DiY4wxVqdw4mOMMVancOJjjDFWp3DiY4wx
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YII=
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"></img>
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</div>
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</div>
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</div>
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</div>
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</div>
|
|
|
<div class="text_cell_render border-box-sizing rendered_html">
|
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|
<h2>
|
|
|
Duplicating an XKCD Comic
|
|
|
</h2>
|
|
|
</div>
|
|
|
<div class="text_cell_render border-box-sizing rendered_html">
|
|
|
<p>Now let's see if we can use this to replicated an XKCD comic in matplotlib.
|
|
|
This is a good one:</p>
|
|
|
</div>
|
|
|
<div class="cell border-box-sizing code_cell vbox">
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<div class="input hbox">
|
|
|
<div class="prompt input_prompt">In [6]:</div>
|
|
|
<div class="input_area box-flex1">
|
|
|
<div class="highlight"><pre><span class="n">Image</span><span class="p">(</span><span class="s">'http://imgs.xkcd.com/comics/front_door.png'</span><span class="p">)</span>
|
|
|
</pre></div>
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</div>
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</div>
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<div class="vbox output_wrapper">
|
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|
<div class="output vbox">
|
|
|
<div class="hbox output_area">
|
|
|
<div class="prompt output_prompt">Out[6]:</div>
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<div class="output_subarea output_pyout">
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<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAcoAAAEzCAIAAAA+Y9RaAAAACXBIWXMAAAsTAAALEwEAmpwYAAAK
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Q/8f50+l/lmW+7QAAAAASUVORK5CYII=
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"></img>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="text_cell_render border-box-sizing rendered_html">
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<p>With the new <code>XKCDify</code> function, this is relatively easy to replicate. The results
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are not exactly identical, but I think it definitely gets the point across!</p>
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</div>
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<div class="cell border-box-sizing code_cell vbox">
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<div class="input hbox">
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<div class="prompt input_prompt">In [7]:</div>
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<div class="input_area box-flex1">
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<div class="highlight"><pre><span class="c"># Some helper functions</span>
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<span class="k">def</span> <span class="nf">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x0</span><span class="p">,</span> <span class="n">sigma</span><span class="p">):</span>
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<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.5</span> <span class="o">*</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">x0</span><span class="p">)</span> <span class="o">**</span> <span class="mi">2</span> <span class="o">/</span> <span class="n">sigma</span> <span class="o">**</span> <span class="mi">2</span><span class="p">)</span>
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<span class="k">def</span> <span class="nf">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">x0</span><span class="p">,</span> <span class="n">alpha</span><span class="p">):</span>
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<span class="k">return</span> <span class="mf">1.</span> <span class="o">/</span> <span class="p">(</span><span class="mf">1.</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span> <span class="p">(</span><span class="n">x</span> <span class="o">-</span> <span class="n">x0</span><span class="p">)</span> <span class="o">/</span> <span class="n">alpha</span><span class="p">))</span>
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<span class="c"># define the curves</span>
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<span class="n">x</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
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<span class="n">y1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.7</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span> <span class="o">+</span> <span class="mf">0.2</span> <span class="o">*</span> <span class="p">(</span><span class="mf">1.5</span> <span class="o">-</span> <span class="n">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span>
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<span class="n">y2</span> <span class="o">=</span> <span class="mf">0.2</span> <span class="o">*</span> <span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">)</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.6</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span> <span class="o">+</span> <span class="mf">0.1</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">sigmoid</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.75</span><span class="p">,</span> <span class="mf">0.05</span><span class="p">))</span>
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<span class="n">y3</span> <span class="o">=</span> <span class="mf">0.05</span> <span class="o">+</span> <span class="mf">1.4</span> <span class="o">*</span> <span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mf">0.85</span><span class="p">,</span> <span class="mf">0.08</span><span class="p">)</span>
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<span class="n">y3</span><span class="p">[</span><span class="n">x</span> <span class="o">></span> <span class="mf">0.85</span><span class="p">]</span> <span class="o">=</span> <span class="mf">0.05</span> <span class="o">+</span> <span class="mf">1.4</span> <span class="o">*</span> <span class="n">norm</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">x</span> <span class="o">></span> <span class="mf">0.85</span><span class="p">],</span> <span class="mf">0.85</span><span class="p">,</span> <span class="mf">0.3</span><span class="p">)</span>
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<span class="c"># draw the curves</span>
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<span class="n">ax</span> <span class="o">=</span> <span class="n">pl</span><span class="o">.</span><span class="n">axes</span><span class="p">()</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">'gray'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y2</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">'blue'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y3</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">'red'</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.3</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">"Yard"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">"Steps"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.7</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">"Door"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="s">"Inside"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.05</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">,</span> <span class="s">"fear that</span><span class="se">\n</span><span class="s">there's</span><span class="se">\n</span><span class="s">something</span><span class="se">\n</span><span class="s">behind me"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="mf">0.15</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">],</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">],</span> <span class="s">'-k'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.25</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">,</span> <span class="s">"forward</span><span class="se">\n</span><span class="s">speed"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="mf">0.32</span><span class="p">,</span> <span class="mf">0.35</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.75</span><span class="p">,</span> <span class="mf">0.35</span><span class="p">],</span> <span class="s">'-k'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="mf">0.4</span><span class="p">,</span> <span class="s">"embarrassment"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">],</span> <span class="p">[</span><span class="mf">0.55</span><span class="p">,</span> <span class="mf">1.05</span><span class="p">],</span> <span class="s">'-k'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s">"Walking back to my</span><span class="se">\n</span><span class="s">front door at night:"</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
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<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">)</span>
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<span class="c"># modify all the axes elements in-place</span>
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<span class="n">XKCDify</span><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">expand_axes</span><span class="o">=</span><span class="bp">True</span><span class="p">)</span>
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</pre></div>
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</div>
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</div>
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<div class="vbox output_wrapper">
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<div class="prompt output_prompt">Out[7]:</div>
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<div class="output_subarea output_pyout">
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<pre><matplotlib.axes.AxesSubplot at 0x2fef210></pre>
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"></img>
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</div>
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<div class="text_cell_render border-box-sizing rendered_html">
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<p>Pretty good for a couple hours's work!</p>
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<p>I think the possibilities here are pretty limitless: this is going to be a hugely
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useful and popular feature in matplotlib, especially when the sketch artist PR is mature
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and part of the main package. I imagine using this style of plot for schematic figures
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in presentations where the normal crisp matplotlib lines look a bit too "scientific".
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I'm giving a few talks at the end of the month... maybe I'll even use some of
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this code there.</p>
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<p>This post was written entirely in an IPython Notebook: the notebook file is available for
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download <a href="http://jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb">here</a>.
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For more information on blogging with notebooks in octopress, see my
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<a href="http://jakevdp.github.com/blog/2012/10/04/blogging-with-ipython/">previous post</a>
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on the subject.</p>
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