bokeh_test_corr_plot.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interactive correlation visualisation, might be handy for correlations between parties and speakers...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
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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    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"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.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };var element = document.getElementById(\"1001\");\n  if (element == null) {\n    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n    return false;\n  }\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.2.0.min.js\"];\n  var css_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.2.0.min.css\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.2.0.min.css\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.2.0.min.css\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; 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     },
     "metadata": {}
    }
   ],
   "source": [
    "import numpy as np\n",
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "from bokeh.plotting import figure, output_file, show\n",
    "from bokeh.sampledata.les_mis import data\n",
    "output_notebook()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "nodes = data['nodes']\n",
    "names = [node['name'] for node in sorted(data['nodes'], key=lambda x: x['group'])]\n",
    "\n",
    "N = len(nodes)\n",
    "counts = np.zeros((N, N))\n",
    "for link in data['links']:\n",
    "    counts[link['source'], link['target']] = link['value']\n",
    "    counts[link['target'], link['source']] = link['value']\n",
    "\n",
    "colormap = [\"#444444\", \"#a6cee3\", \"#1f78b4\", \"#b2df8a\", \"#33a02c\", \"#fb9a99\",\n",
    "            \"#e31a1c\", \"#fdbf6f\", \"#ff7f00\", \"#cab2d6\", \"#6a3d9a\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "xname = []\n",
    "yname = []\n",
    "color = []\n",
    "alpha = []\n",
    "for i, node1 in enumerate(nodes):\n",
    "    for j, node2 in enumerate(nodes):\n",
    "        xname.append(node1['name'])\n",
    "        yname.append(node2['name'])\n",
    "\n",
    "        alpha.append(min(counts[i,j]/4.0, 0.9) + 0.1)\n",
    "\n",
    "        if node1['group'] == node2['group']:\n",
    "            color.append(colormap[node1['group']])\n",
    "        else:\n",
    "            color.append('lightgrey')\n",
    "\n",
    "data=dict(\n",
    "    xname=xname,\n",
    "    yname=yname,\n",
    "    colors=color,\n",
    "    alphas=alpha,\n",
    "    count=counts.flatten(),\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "array([0., 1., 8., ..., 0., 0., 0.])"
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "source": [
    "data['count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
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     "data": {
      "application/javascript": "(function(root) {\n  function embed_document(root) {\n    \n  var docs_json = 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   "source": [
    "p = figure(title=\"Les Mis Occurrences\",\n",
    "           x_axis_location=\"above\", tools=\"hover,save\",\n",
    "           x_range=list(reversed(names)), y_range=names,\n",
    "           tooltips = [('names', '@yname, @xname'), ('count', '@count')])\n",
    "\n",
    "p.plot_width = 800\n",
    "p.plot_height = 800\n",
    "p.grid.grid_line_color = None\n",
    "p.axis.axis_line_color = None\n",
    "p.axis.major_tick_line_color = None\n",
    "p.axis.major_label_text_font_size = \"7px\"\n",
    "p.axis.major_label_standoff = 0\n",
    "p.xaxis.major_label_orientation = np.pi/3\n",
    "\n",
    "p.rect('xname', 'yname', 0.9, 0.9, source=data,\n",
    "       color='colors', alpha='alphas', line_color=None,\n",
    "       hover_line_color='black', hover_color='colors')\n",
    "output_file(\"les_mis.html\", title=\"les_mis.py example\")\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}