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Update cookbook_template.ipynb
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‎docs/examples/cookbook_template.ipynb

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"source": [
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"*[Optional Table of Contents]*\n",
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"\n",
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"1. [Default Presentation](#1.-Default-Presentation)\n",
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"2. [Options](#2.-Options) \n",
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"\n",
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" 2.1 [Shape](#2.1-Shape)\n",
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" \n"
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"1. [`color` and `size`](#color)\n",
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"2. [`shape`](#shape) \n",
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" 2.1 [Switching to Hollow Shapes](#hollow-shape)\n",
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" \n",
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"3. [Usage with GeoTools](#geotools)\n",
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"\n"
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]
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},
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{
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{
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"text/html": [
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" <div id=\"YkpSSc\"></div>\n",
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" <div id=\"eXnylm\"></div>\n",
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" <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
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" if(!window.letsPlotCallQueue) {\n",
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" window.letsPlotCallQueue = [];\n",
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" (function() {\n",
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" var script = document.createElement(\"script\");\n",
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" script.type = \"text/javascript\";\n",
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" script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v3.1.0/js-package/distr/lets-plot.min.js\";\n",
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" script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v3.2.0/js-package/distr/lets-plot.min.js\";\n",
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" script.onload = function() {\n",
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" window.letsPlotCall = function(f) {f();};\n",
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" window.letsPlotCallQueue.forEach(function(f) {f();});\n",
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" var div = document.createElement(\"div\");\n",
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" div.style.color = 'darkred';\n",
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" div.textContent = 'Error loading Lets-Plot JS';\n",
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" document.getElementById(\"YkpSSc\").appendChild(div);\n",
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" document.getElementById(\"eXnylm\").appendChild(div);\n",
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" };\n",
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" var e = document.getElementById(\"YkpSSc\");\n",
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" var e = document.getElementById(\"eXnylm\");\n",
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" e.appendChild(script);\n",
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" })();\n",
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" </script>"
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{
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"data": {
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"text/plain": [
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"Lets-Plot Kotlin API v.4.3.0. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.3.1.0."
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"Lets-Plot Kotlin API v.4.4.1. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.3.2.0."
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]
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},
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"execution_count": 2,
@@ -102,9 +103,9 @@
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"id": "heavy-vienna",
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"metadata": {},
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"source": [
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"*For demo, if possible, use standard data from [lets-plot-docs](https://github.com/JetBrains/lets-plot-docs/tree/master/data) repository.*\n",
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"\n",
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"*For example:*"
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"> *For demo, if possible, use standard data from [lets-plot-docs](https://github.com/JetBrains/lets-plot-docs/tree/master/data) repository.*\n",
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">\n",
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"> *For example:*"
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]
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},
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{
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"outputs": [
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{
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"data": {
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"application/kotlindataframe+json": "{\"nrow\":3,\"ncol\":12,\"columns\":[\"untitled\",\"manufacturer\",\"model\",\"displ\",\"year\",\"cyl\",\"trans\",\"drv\",\"cty\",\"hwy\",\"fl\",\"class\"],\"kotlin_dataframe\":[{\"untitled\":1,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":1.8,\"year\":1999,\"cyl\":4,\"trans\":\"auto(l5)\",\"drv\":\"f\",\"cty\":18,\"hwy\":29,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":2,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":1.8,\"year\":1999,\"cyl\":4,\"trans\":\"manual(m5)\",\"drv\":\"f\",\"cty\":21,\"hwy\":29,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":3,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":2.0,\"year\":2008,\"cyl\":4,\"trans\":\"manual(m6)\",\"drv\":\"f\",\"cty\":20,\"hwy\":31,\"fl\":\"p\",\"class\":\"compact\"}]}",
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"text/html": [
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" <html>\n",
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" <head>\n",
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" </head>\n",
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" <body>\n",
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" \n",
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"<table class=\"dataframe\" id=\"df_-1962934272\"></table>\n",
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"<table class=\"dataframe\" id=\"df_1728053248\"></table>\n",
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"\n",
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"<p class=\"dataframe_description\">DataFrame: rowsCount = 3, columnsCount = 12</p>\n",
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" </body>\n",
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"{ name: \"<span title=\\\"hwy: Int\\\">hwy</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">31</span></span>\"] }, \n",
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"{ name: \"<span title=\\\"fl: String\\\">fl</span>\", children: [], rightAlign: false, values: [\"p\",\"p\",\"p\"] }, \n",
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"{ name: \"<span title=\\\"class: String\\\">class</span>\", children: [], rightAlign: false, values: [\"compact\",\"compact\",\"compact\"] }, \n",
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"], id: -1962934272, rootId: -1962934272, totalRows: 3 } ) });\n",
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"], id: 1728053248, rootId: 1728053248, totalRows: 3 } ) });\n",
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"/*-->*/\n",
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"\n",
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"call_DataFrame(function() { DataFrame.renderTable(-1962934272) });\n",
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"call_DataFrame(function() { DataFrame.renderTable(1728053248) });\n",
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"\n",
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"\n",
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" </script>\n",
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"id": "substantial-violence",
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"metadata": {},
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"source": [
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"#### 1. Default Presentation"
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"> *The 1-st figure is usually built with a minimal set of required parameters.*\n",
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">\n",
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"> *In many cases chapter header is not necessary.*"
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]
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},
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{
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{
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" <div id=\"XMU9cd\"></div>\n",
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" <div id=\"MZdgax\"></div>\n",
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" <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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" (function() {\n",
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" var plotSpec={\n",
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"}\n",
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"}]\n",
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"};\n",
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" var plotContainer = document.getElementById(\"XMU9cd\");\n",
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" var plotContainer = document.getElementById(\"MZdgax\");\n",
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" window.letsPlotCall(function() {{\n",
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" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
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" }});\n",
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"id": "unauthorized-surname",
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"metadata": {},
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"source": [
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"#### 2. Options"
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"<a id=\"color\"></a>\n",
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"#### 1. `color` and `size`"
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]
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},
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{
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"cell_type": "code",
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"id": "grateful-emerald",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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" <div id=\"k3UZWX\"></div>\n",
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" <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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" (function() {\n",
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" var plotSpec={\n",
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"\"mapping\":{\n",
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"},\n",
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"\"data\":{\n",
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"\"displ\":[1.8,1.8,2.0,2.0,2.8,2.8,3.1,1.8,1.8,2.0,2.0,2.8,2.8,3.1,3.1,2.8,3.1,4.2,5.3,5.3,5.3,5.7,6.0,5.7,5.7,6.2,6.2,7.0,5.3,5.3,5.7,6.5,2.4,2.4,3.1,3.5,3.6,2.4,3.0,3.3,3.3,3.3,3.3,3.3,3.8,3.8,3.8,4.0,3.7,3.7,3.9,3.9,4.7,4.7,4.7,5.2,5.2,3.9,4.7,4.7,4.7,5.2,5.7,5.9,4.7,4.7,4.7,4.7,4.7,4.7,5.2,5.2,5.7,5.9,4.6,5.4,5.4,4.0,4.0,4.0,4.0,4.6,5.0,4.2,4.2,4.6,4.6,4.6,5.4,5.4,3.8,3.8,4.0,4.0,4.6,4.6,4.6,4.6,5.4,1.6,1.6,1.6,1.6,1.6,1.8,1.8,1.8,2.0,2.4,2.4,2.4,2.4,2.5,2.5,3.3,2.0,2.0,2.0,2.0,2.7,2.7,2.7,3.0,3.7,4.0,4.7,4.7,4.7,5.7,6.1,4.0,4.2,4.4,4.6,5.4,5.4,5.4,4.0,4.0,4.6,5.0,2.4,2.4,2.5,2.5,3.5,3.5,3.0,3.0,3.5,3.3,3.3,4.0,5.6,3.1,3.8,3.8,3.8,5.3,2.5,2.5,2.5,2.5,2.5,2.5,2.2,2.2,2.5,2.5,2.5,2.5,2.5,2.5,2.7,2.7,3.4,3.4,4.0,4.7,2.2,2.2,2.4,2.4,3.0,3.0,3.5,2.2,2.2,2.4,2.4,3.0,3.0,3.3,1.8,1.8,1.8,1.8,1.8,4.7,5.7,2.7,2.7,2.7,3.4,3.4,4.0,4.0,2.0,2.0,2.0,2.0,2.8,1.9,2.0,2.0,2.0,2.0,2.5,2.5,2.8,2.8,1.9,1.9,2.0,2.0,2.5,2.5,1.8,1.8,2.0,2.0,2.8,2.8,3.6],\n",
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"\"drv\":[\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\"],\n",
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"\"hwy\":[29.0,29.0,31.0,30.0,26.0,26.0,27.0,26.0,25.0,28.0,27.0,25.0,25.0,25.0,25.0,24.0,25.0,23.0,20.0,15.0,20.0,17.0,17.0,26.0,23.0,26.0,25.0,24.0,19.0,14.0,15.0,17.0,27.0,30.0,26.0,29.0,26.0,24.0,24.0,22.0,22.0,24.0,24.0,17.0,22.0,21.0,23.0,23.0,19.0,18.0,17.0,17.0,19.0,19.0,12.0,17.0,15.0,17.0,17.0,12.0,17.0,16.0,18.0,15.0,16.0,12.0,17.0,17.0,16.0,12.0,15.0,16.0,17.0,15.0,17.0,17.0,18.0,17.0,19.0,17.0,19.0,19.0,17.0,17.0,17.0,16.0,16.0,17.0,15.0,17.0,26.0,25.0,26.0,24.0,21.0,22.0,23.0,22.0,20.0,33.0,32.0,32.0,29.0,32.0,34.0,36.0,36.0,29.0,26.0,27.0,30.0,31.0,26.0,26.0,28.0,26.0,29.0,28.0,27.0,24.0,24.0,24.0,22.0,19.0,20.0,17.0,12.0,19.0,18.0,14.0,15.0,18.0,18.0,15.0,17.0,16.0,18.0,17.0,19.0,19.0,17.0,29.0,27.0,31.0,32.0,27.0,26.0,26.0,25.0,25.0,17.0,17.0,20.0,18.0,26.0,26.0,27.0,28.0,25.0,25.0,24.0,27.0,25.0,26.0,23.0,26.0,26.0,26.0,26.0,25.0,27.0,25.0,27.0,20.0,20.0,19.0,17.0,20.0,17.0,29.0,27.0,31.0,31.0,26.0,26.0,28.0,27.0,29.0,31.0,31.0,26.0,26.0,27.0,30.0,33.0,35.0,37.0,35.0,15.0,18.0,20.0,20.0,22.0,17.0,19.0,18.0,20.0,29.0,26.0,29.0,29.0,24.0,44.0,29.0,26.0,29.0,29.0,29.0,29.0,23.0,24.0,44.0,41.0,29.0,26.0,28.0,29.0,29.0,29.0,28.0,29.0,26.0,26.0,26.0]\n",
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"},\n",
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"\"kind\":\"plot\",\n",
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"\"scales\":[],\n",
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"\"layers\":[{\n",
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"\"mapping\":{\n",
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"\"x\":\"displ\",\n",
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"\"y\":\"hwy\",\n",
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"\"color\":\"drv\",\n",
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"\"size\":\"displ\"\n",
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"},\n",
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"\"stat\":\"identity\",\n",
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"\"position\":\"identity\",\n",
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"\"geom\":\"point\",\n",
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"\"data\":{\n",
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"}\n",
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"}]\n",
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"};\n",
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" var plotContainer = document.getElementById(\"k3UZWX\");\n",
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" window.letsPlotCall(function() {{\n",
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" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
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" }});\n",
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" })(); \n",
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" </script>"
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"execution_count": 6,
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"output_type": "execute_result"
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}
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"source": [
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"letsPlot(df.toMap()) + geomPoint {\n",
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" x = \"displ\"\n",
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" y = \"hwy\"\n",
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" color = \"drv\"\n",
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"}"
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{
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"cell_type": "markdown",
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"id": "headed-cliff",
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"metadata": {},
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"source": [
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"##### 2.1 Shape\n",
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"\n"
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"<a id=\"shape\"></a>\n",
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"#### 2. `shape`"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 7,
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"id": "enhanced-presentation",
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"\"displ\":[1.8,1.8,2.0,2.0,2.8,2.8,3.1,1.8,1.8,2.0,2.0,2.8,2.8,3.1,3.1,2.8,3.1,4.2,5.3,5.3,5.3,5.7,6.0,5.7,5.7,6.2,6.2,7.0,5.3,5.3,5.7,6.5,2.4,2.4,3.1,3.5,3.6,2.4,3.0,3.3,3.3,3.3,3.3,3.3,3.8,3.8,3.8,4.0,3.7,3.7,3.9,3.9,4.7,4.7,4.7,5.2,5.2,3.9,4.7,4.7,4.7,5.2,5.7,5.9,4.7,4.7,4.7,4.7,4.7,4.7,5.2,5.2,5.7,5.9,4.6,5.4,5.4,4.0,4.0,4.0,4.0,4.6,5.0,4.2,4.2,4.6,4.6,4.6,5.4,5.4,3.8,3.8,4.0,4.0,4.6,4.6,4.6,4.6,5.4,1.6,1.6,1.6,1.6,1.6,1.8,1.8,1.8,2.0,2.4,2.4,2.4,2.4,2.5,2.5,3.3,2.0,2.0,2.0,2.0,2.7,2.7,2.7,3.0,3.7,4.0,4.7,4.7,4.7,5.7,6.1,4.0,4.2,4.4,4.6,5.4,5.4,5.4,4.0,4.0,4.6,5.0,2.4,2.4,2.5,2.5,3.5,3.5,3.0,3.0,3.5,3.3,3.3,4.0,5.6,3.1,3.8,3.8,3.8,5.3,2.5,2.5,2.5,2.5,2.5,2.5,2.2,2.2,2.5,2.5,2.5,2.5,2.5,2.5,2.7,2.7,3.4,3.4,4.0,4.7,2.2,2.2,2.4,2.4,3.0,3.0,3.5,2.2,2.2,2.4,2.4,3.0,3.0,3.3,1.8,1.8,1.8,1.8,1.8,4.7,5.7,2.7,2.7,2.7,3.4,3.4,4.0,4.0,2.0,2.0,2.0,2.0,2.8,1.9,2.0,2.0,2.0,2.0,2.5,2.5,2.8,2.8,1.9,1.9,2.0,2.0,2.5,2.5,1.8,1.8,2.0,2.0,2.8,2.8,3.6],\n",
695+
"\"drv\":[\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\"],\n",
696+
"\"hwy\":[29.0,29.0,31.0,30.0,26.0,26.0,27.0,26.0,25.0,28.0,27.0,25.0,25.0,25.0,25.0,24.0,25.0,23.0,20.0,15.0,20.0,17.0,17.0,26.0,23.0,26.0,25.0,24.0,19.0,14.0,15.0,17.0,27.0,30.0,26.0,29.0,26.0,24.0,24.0,22.0,22.0,24.0,24.0,17.0,22.0,21.0,23.0,23.0,19.0,18.0,17.0,17.0,19.0,19.0,12.0,17.0,15.0,17.0,17.0,12.0,17.0,16.0,18.0,15.0,16.0,12.0,17.0,17.0,16.0,12.0,15.0,16.0,17.0,15.0,17.0,17.0,18.0,17.0,19.0,17.0,19.0,19.0,17.0,17.0,17.0,16.0,16.0,17.0,15.0,17.0,26.0,25.0,26.0,24.0,21.0,22.0,23.0,22.0,20.0,33.0,32.0,32.0,29.0,32.0,34.0,36.0,36.0,29.0,26.0,27.0,30.0,31.0,26.0,26.0,28.0,26.0,29.0,28.0,27.0,24.0,24.0,24.0,22.0,19.0,20.0,17.0,12.0,19.0,18.0,14.0,15.0,18.0,18.0,15.0,17.0,16.0,18.0,17.0,19.0,19.0,17.0,29.0,27.0,31.0,32.0,27.0,26.0,26.0,25.0,25.0,17.0,17.0,20.0,18.0,26.0,26.0,27.0,28.0,25.0,25.0,24.0,27.0,25.0,26.0,23.0,26.0,26.0,26.0,26.0,25.0,27.0,25.0,27.0,20.0,20.0,19.0,17.0,20.0,17.0,29.0,27.0,31.0,31.0,26.0,26.0,28.0,27.0,29.0,31.0,31.0,26.0,26.0,27.0,30.0,33.0,35.0,37.0,35.0,15.0,18.0,20.0,20.0,22.0,17.0,19.0,18.0,20.0,29.0,26.0,29.0,29.0,24.0,44.0,29.0,26.0,29.0,29.0,29.0,29.0,23.0,24.0,44.0,41.0,29.0,26.0,28.0,29.0,29.0,29.0,28.0,29.0,26.0,26.0,26.0]\n",
697+
"},\n",
698+
"\"kind\":\"plot\",\n",
699+
"\"scales\":[],\n",
700+
"\"layers\":[{\n",
701+
"\"mapping\":{\n",
702+
"\"x\":\"displ\",\n",
703+
"\"y\":\"hwy\",\n",
704+
"\"shape\":\"drv\"\n",
705+
"},\n",
706+
"\"stat\":\"identity\",\n",
707+
"\"size\":8.0,\n",
708+
"\"position\":\"identity\",\n",
709+
"\"geom\":\"point\",\n",
710+
"\"data\":{\n",
711+
"}\n",
712+
"}]\n",
713+
"};\n",
714+
" var plotContainer = document.getElementById(\"H5t0xy\");\n",
715+
" window.letsPlotCall(function() {{\n",
716+
" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
717+
" }});\n",
718+
" })(); \n",
719+
" </script>"
720+
]
721+
},
722+
"execution_count": 7,
723+
"metadata": {},
724+
"output_type": "execute_result"
725+
}
726+
],
727+
"source": [
728+
"letsPlot(df.toMap()) + geomPoint(size = 8) {\n",
729+
" x = \"displ\"\n",
730+
" y = \"hwy\"\n",
731+
" shape = \"drv\"\n",
732+
"}"
733+
]
734+
},
735+
{
736+
"cell_type": "markdown",
737+
"id": "vulnerable-romantic",
738+
"metadata": {},
739+
"source": [
740+
"<a id=\"hollow-shape\"></a>\n",
741+
"##### 2.1 Switching to Hollow Shapes "
742+
]
743+
},
744+
{
745+
"cell_type": "code",
746+
"execution_count": 8,
618747
"id": "certified-grass",
619748
"metadata": {},
620749
"outputs": [
621750
{
622751
"data": {
623752
"text/html": [
624-
" <div id=\"rsGKxL\"></div>\n",
753+
" <div id=\"pvTc2u\"></div>\n",
625754
" <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
626755
" (function() {\n",
627756
" var plotSpec={\n",
@@ -644,37 +773,53 @@
644773
"\"shape\":\"drv\"\n",
645774
"},\n",
646775
"\"stat\":\"identity\",\n",
647-
"\"color\":\"black\",\n",
648776
"\"size\":8.0,\n",
649-
"\"alpha\":0.5,\n",
650777
"\"position\":\"identity\",\n",
651778
"\"geom\":\"point\",\n",
652779
"\"data\":{\n",
653780
"}\n",
654781
"}]\n",
655782
"};\n",
656-
" var plotContainer = document.getElementById(\"rsGKxL\");\n",
783+
" var plotContainer = document.getElementById(\"pvTc2u\");\n",
657784
" window.letsPlotCall(function() {{\n",
658785
" LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
659786
" }});\n",
660787
" })(); \n",
661788
" </script>"
662789
]
663790
},
664-
"execution_count": 6,
791+
"execution_count": 8,
665792
"metadata": {},
666793
"output_type": "execute_result"
667794
}
668795
],
669796
"source": [
670-
"letsPlot(df.toMap()) + geomPoint(size = 8, color = \"black\", alpha = 0.5) {\n",
797+
"letsPlot(df.toMap()) + geomPoint(size = 8) {\n",
671798
" x = \"displ\"\n",
672799
" y = \"hwy\"\n",
673800
" shape = \"drv\"\n",
674801
"} + scaleShape(\n",
675802
" solid = false\n",
676803
" )"
677804
]
805+
},
806+
{
807+
"cell_type": "markdown",
808+
"id": "plastic-afternoon",
809+
"metadata": {},
810+
"source": [
811+
"<a id=\"geotools\"></a>\n",
812+
"#### 3. Usage with GeoTools\n",
813+
"`geomPoint()` can be used to draw markers on map."
814+
]
815+
},
816+
{
817+
"cell_type": "code",
818+
"execution_count": null,
819+
"id": "micro-dairy",
820+
"metadata": {},
821+
"outputs": [],
822+
"source": []
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}
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],
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"metadata": {
@@ -690,7 +835,7 @@
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"name": "kotlin",
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"nbconvert_exporter": "",
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"pygments_lexer": "kotlin",
693-
"version": "1.8.20-Beta"
838+
"version": "1.8.20"
694839
}
695840
},
696841
"nbformat": 4,

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