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Created October 26, 2016 12:03
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Custom heatmap
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custom heatmap
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <div class=\"bk-root\">\n",
" <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
" <span id=\"28652abf-0556-48ef-9c47-482f3166b87d\">Loading BokehJS ...</span>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
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"\n",
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" }\n",
"\n",
"\n",
" \n",
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" }\n",
"\n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
"\n",
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"\n",
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"\n",
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" return false;\n",
" }\n",
"\n",
" var js_urls = ['https://cdn.pydata.org/bokeh/release/bokeh-0.12.3.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.3.min.js'];\n",
"\n",
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" function(Bokeh) {\n",
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" \n",
" function(Bokeh) {\n",
" \n",
" Bokeh.$(\"#28652abf-0556-48ef-9c47-482f3166b87d\").text(\"BokehJS is loading...\");\n",
" },\n",
" function(Bokeh) {\n",
" console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.3.min.css\");\n",
" Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.3.min.css\");\n",
" console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.3.min.css\");\n",
" Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.3.min.css\");\n",
" }\n",
" ];\n",
"\n",
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"\n",
" }\n",
"\n",
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" });\n",
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"}(this));"
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"metadata": {},
"output_type": "display_data"
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],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import datetime\n",
"\n",
"from bokeh.io import output_notebook, show\n",
"from bokeh.plotting import figure\n",
"from bokeh.models import ColumnDataSource, LinearColorMapper, DatetimeTickFormatter\n",
"from bokeh.palettes import Blues9, Greens9, Reds9\n",
"\n",
"output_notebook()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Create some dummy data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>p1</th>\n",
" <th>p2</th>\n",
" <th>p3</th>\n",
" <th>start</th>\n",
" <th>end</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2016-01-01</th>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>7</td>\n",
" <td>2016-01-01</td>\n",
" <td>2016-01-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-01-02</th>\n",
" <td>5</td>\n",
" <td>6</td>\n",
" <td>4</td>\n",
" <td>2016-01-02</td>\n",
" <td>2016-01-03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-01-03</th>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>6</td>\n",
" <td>2016-01-03</td>\n",
" <td>2016-01-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-01-04</th>\n",
" <td>6</td>\n",
" <td>5</td>\n",
" <td>8</td>\n",
" <td>2016-01-04</td>\n",
" <td>2016-01-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016-01-05</th>\n",
" <td>7</td>\n",
" <td>11</td>\n",
" <td>7</td>\n",
" <td>2016-01-05</td>\n",
" <td>2016-01-06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" p1 p2 p3 start end\n",
"2016-01-01 7 7 7 2016-01-01 2016-01-02\n",
"2016-01-02 5 6 4 2016-01-02 2016-01-03\n",
"2016-01-03 6 8 6 2016-01-03 2016-01-04\n",
"2016-01-04 6 5 8 2016-01-04 2016-01-05\n",
"2016-01-05 7 11 7 2016-01-05 2016-01-06"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"start_dt = datetime.datetime(2016,1,1)\n",
"\n",
"params = ['p1', 'p2', 'p3']\n",
"\n",
"dfs = []\n",
"for p in params:\n",
" \n",
" dates = [start_dt + datetime.timedelta(minutes=int(x)) for x in np.random.randint(1,400,300).cumsum()] \n",
" dfs.append(pd.DataFrame({p: np.random.randn(len(dates))}, index=dates))\n",
" \n",
"df = pd.concat(dfs, axis=1)\n",
"\n",
"dfday = df.groupby(lambda x: x.date()).count()\n",
"\n",
"dfday['start'] = dfday.index\n",
"dfday['end'] = [x+datetime.timedelta(days=1) for x in dfday.index]\n",
"dfday.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Define colormaps for each param"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"cmaps = {}\n",
"cmaps['p1'] = LinearColorMapper(palette=Reds9)\n",
"cmaps['p2'] = LinearColorMapper(palette=Blues9)\n",
"cmaps['p3'] = LinearColorMapper(palette=Greens9)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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"\n",
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" </div>\n",
"<script type=\"text/javascript\">\n",
" \n",
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" function now() {\n",
" return new Date();\n",
" }\n",
" \n",
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" \n",
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" \n",
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" window._bokeh_timeout = Date.now() + 0;\n",
" window._bokeh_failed_load = false;\n",
" }\n",
" \n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
" \n",
" function display_loaded() {\n",
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" \n",
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" delete window._bokeh_onload_callbacks\n",
" console.info(\"Bokeh: all callbacks have finished\");\n",
" }\n",
" \n",
" function load_libs(js_urls, callback) {\n",
" window._bokeh_onload_callbacks.push(callback);\n",
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" console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
" if (js_urls == null || js_urls.length === 0) {\n",
" run_callbacks();\n",
" return null;\n",
" }\n",
" console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" window._bokeh_is_loading = js_urls.length;\n",
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" var url = js_urls[i];\n",
" var s = document.createElement('script');\n",
" s.src = url;\n",
" s.async = false;\n",
" s.onreadystatechange = s.onload = function() {\n",
" window._bokeh_is_loading--;\n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
" run_callbacks()\n",
" }\n",
" };\n",
" s.onerror = function() {\n",
" console.warn(\"failed to load library \" + url);\n",
" };\n",
" console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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" }\n",
" };var element = document.getElementById(\"d7d1d690-109c-4862-b02a-d7a17060d7bc\");\n",
" if (element == null) {\n",
" console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'd7d1d690-109c-4862-b02a-d7a17060d7bc' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
" \n",
" var js_urls = [];\n",
" \n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" Bokeh.$(function() {\n",
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Application\",\"version\":\"0.12.3\"}};\n",
" var render_items = [{\"docid\":\"2f69f414-2596-428e-a9a2-5a5fa5187ef4\",\"elementid\":\"d7d1d690-109c-4862-b02a-d7a17060d7bc\",\"modelid\":\"46e3ee55-ca31-4455-84c2-b4eb0b7e5bf9\"}];\n",
" \n",
" Bokeh.embed.embed_items(docs_json, render_items);\n",
" });\n",
" },\n",
" function(Bokeh) {\n",
" }\n",
" ];\n",
" \n",
" function run_inline_js() {\n",
" \n",
" if ((window.Bokeh !== undefined) || (force === \"1\")) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i](window.Bokeh);\n",
" }if (force === \"1\") {\n",
" display_loaded();\n",
" }} else if (Date.now() < window._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!window._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" window._bokeh_failed_load = true;\n",
" } else if (!force) {\n",
" var cell = $(\"#d7d1d690-109c-4862-b02a-d7a17060d7bc\").parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
" \n",
" }\n",
" \n",
" if (window._bokeh_is_loading === 0) {\n",
" console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(js_urls, function() {\n",
" console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
" }(this));\n",
"</script>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"p = figure(x_axis_type=\"datetime\", x_range=(dfday.index[0], dfday.index[-1]), y_range=[0,4],\n",
" tools='xpan, xwheel_zoom, reset, save, resize', width=800, height=300)\n",
"\n",
"for i, par in enumerate(params):\n",
" \n",
" p.quad(left='start', right='end', bottom=.6+i, top=1.4+i,\n",
" color={'field': par, 'transform': cmaps[par]}, source=ColumnDataSource(dfday))\n",
"\n",
"p.xaxis.formatter = DatetimeTickFormatter(days=['%d-%b-%Y'])\n",
" \n",
"show(p)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.4.5"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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