notebooks/tutorials/12_PynoddyModule/kinematic_modeling.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%config Completer.use_jedi = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simulation of a Noddy history and visualisation of output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys, os\n",
    "import subprocess\n",
    "from sandbox import _test_data, _package_dir\n",
    "\n",
    "import pynoddy\n",
    "import pynoddy.output\n",
    "import pynoddy.history\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compute the model\n",
    "\n",
    "The simplest way to perform the Noddy simulation through Python is simply to call the executable. One way that should be fairly platform independent is to use Python's own subprocess module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Folder for the Pynoddy package\n",
    "repository_folder = os.path.abspath(_package_dir + '/../../pynoddy/') + os.sep\n",
    "\n",
    "# Folder containing the examples\n",
    "example_directory = os.path.abspath(repository_folder + 'examples/') + os.sep\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Choose a history file\n",
    "history_file = 'simple_two_faults.his'  # Modify here\n",
    "\n",
    "history = os.path.abspath(example_directory + history_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Choose an output folder\n",
    "output_folder = _test_data[\"pynoddy_data\"] \n",
    "\n",
    "output = os.path.abspath(output_folder+'noddy_out')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Name for executing noddy \"noddy\" or \"noddy.exe\"\n",
    "noddy_exec = 'noddy.exe'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b''\n"
     ]
    }
   ],
   "source": [
    "# NOTE: Make sure that the noddy executable is accessible in the system!!\n",
    "print(subprocess.Popen(['noddy.exe', history, output, 'BLOCK'], \n",
    "                       shell=False, stderr=subprocess.PIPE, \n",
    "                       stdout=subprocess.PIPE).stdout.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pynoddy.compute_model(history, output, noddy_path=noddy_exec)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading Noddy output files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "N1 = pynoddy.output.NoddyOutput(output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "N1.plot_section('y', position=90, figsize = (10,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the sandbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sandbox import _calibration_dir\n",
    "_calibprojector = _calibration_dir + \"my_projector_calibration.json\"\n",
    "_calibsensor = _calibration_dir + \"my_sensor_calibration.json\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "      })\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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",
       "\tif (!js_urls.length) {\n",
       "      on_load()\n",
       "    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n",
       "  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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    var skip = [];\n    if (window.requirejs) {\n      require([], function() {\n      })\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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\tif (!js_urls.length) {\n      on_load()\n    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
       "}\n",
       "\n",
       "\n",
       "    function JupyterCommManager() {\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        comm_manager.register_target(comm_id, function(comm) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        });\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        });\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
       "          function processIteratorResult(result) {\n",
       "            var message = result.value;\n",
       "            console.log(message)\n",
       "            var content = {data: message.data, comm_id};\n",
       "            var buffers = []\n",
       "            for (var buffer of message.buffers || []) {\n",
       "              buffers.push(new DataView(buffer))\n",
       "            }\n",
       "            var metadata = message.metadata || {};\n",
       "            var msg = {content, buffers, metadata}\n",
       "            msg_handler(msg);\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "          return messages.next().then(processIteratorResult);\n",
       "        })\n",
       "      }\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
       "      if (comm_id in window.PyViz.comms) {\n",
       "        return window.PyViz.comms[comm_id];\n",
       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
       "        if (msg_handler) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        }\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
       "        comm.open();\n",
       "        if (msg_handler) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        }\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
       "        comm_promise.then((comm) => {\n",
       "          window.PyViz.comms[comm_id] = comm;\n",
       "          if (msg_handler) {\n",
       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
       "              var msg = {content, metadata}\n",
       "              msg_handler(msg);\n",
       "              return messages.next().then(processIteratorResult);\n",
       "            }\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "        }) \n",
       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
       "          });\n",
       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "      })\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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",
       "\tif (!js_urls.length) {\n",
       "      on_load()\n",
       "    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n",
       "  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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    var skip = [];\n    if (window.requirejs) {\n      require([], function() {\n      })\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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\tif (!js_urls.length) {\n      on_load()\n    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
       "}\n",
       "\n",
       "\n",
       "    function JupyterCommManager() {\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        comm_manager.register_target(comm_id, function(comm) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        });\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        });\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
       "          function processIteratorResult(result) {\n",
       "            var message = result.value;\n",
       "            console.log(message)\n",
       "            var content = {data: message.data, comm_id};\n",
       "            var buffers = []\n",
       "            for (var buffer of message.buffers || []) {\n",
       "              buffers.push(new DataView(buffer))\n",
       "            }\n",
       "            var metadata = message.metadata || {};\n",
       "            var msg = {content, buffers, metadata}\n",
       "            msg_handler(msg);\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "          return messages.next().then(processIteratorResult);\n",
       "        })\n",
       "      }\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
       "      if (comm_id in window.PyViz.comms) {\n",
       "        return window.PyViz.comms[comm_id];\n",
       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
       "        if (msg_handler) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        }\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
       "        comm.open();\n",
       "        if (msg_handler) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        }\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
       "        comm_promise.then((comm) => {\n",
       "          window.PyViz.comms[comm_id] = comm;\n",
       "          if (msg_handler) {\n",
       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
       "              var msg = {content, metadata}\n",
       "              msg_handler(msg);\n",
       "              return messages.next().then(processIteratorResult);\n",
       "            }\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "        }) \n",
       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
       "          });\n",
       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "      })\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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",
       "\tif (!js_urls.length) {\n",
       "      on_load()\n",
       "    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n",
       "  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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    var skip = [];\n    if (window.requirejs) {\n      require([], function() {\n      })\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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\tif (!js_urls.length) {\n      on_load()\n    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
       "}\n",
       "\n",
       "\n",
       "    function JupyterCommManager() {\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        comm_manager.register_target(comm_id, function(comm) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        });\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        });\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
       "          function processIteratorResult(result) {\n",
       "            var message = result.value;\n",
       "            console.log(message)\n",
       "            var content = {data: message.data, comm_id};\n",
       "            var buffers = []\n",
       "            for (var buffer of message.buffers || []) {\n",
       "              buffers.push(new DataView(buffer))\n",
       "            }\n",
       "            var metadata = message.metadata || {};\n",
       "            var msg = {content, buffers, metadata}\n",
       "            msg_handler(msg);\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "          return messages.next().then(processIteratorResult);\n",
       "        })\n",
       "      }\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
       "      if (comm_id in window.PyViz.comms) {\n",
       "        return window.PyViz.comms[comm_id];\n",
       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
       "        if (msg_handler) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        }\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
       "        comm.open();\n",
       "        if (msg_handler) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        }\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
       "        comm_promise.then((comm) => {\n",
       "          window.PyViz.comms[comm_id] = comm;\n",
       "          if (msg_handler) {\n",
       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
       "              var msg = {content, metadata}\n",
       "              msg_handler(msg);\n",
       "              return messages.next().then(processIteratorResult);\n",
       "            }\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "        }) \n",
       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
       "          });\n",
       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.sensor.sensor_api: INFO\u001b[0m | JSON configuration loaded for sensor.\n",
      "\u001b[32msandbox.sensor.dummy: INFO\u001b[0m | DummySensor initialized.\n"
     ]
    }
   ],
   "source": [
    "#Import Sensor\n",
    "from sandbox.sensor import Sensor\n",
    "sensor = Sensor(calibsensor=_calibsensor, name=\"dummy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.projector.projector: INFO\u001b[0m | JSON configuration loaded for projector\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "      })\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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",
       "\tif (!js_urls.length) {\n",
       "      on_load()\n",
       "    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n",
       "  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\"\\n    body {\\n      margin:0px;\\n      background-color: #FFFFFF;\\n    }\\n    .panel {\\n      background-color: #000000;\\n      overflow: hidden;\\n    }\\n    .bk.frame {\\n      background-color: #FFFFFF;\\n      color: #FFFFFF;\\n    }\\n    .bk.legend {\\n      background-color: #16425B;\\n      color: #CCCCCC;\\n    }\\n    .bk.hot {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    }\\n    .bk.profile {\\n      background-color: #40C1C7;\\n      color: #CCCCCC;\\n    }\\n    .bk.colorbar {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    \");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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    var skip = [];\n    if (window.requirejs) {\n      require([], function() {\n      })\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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\tif (!js_urls.length) {\n      on_load()\n    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\"\\n    body {\\n      margin:0px;\\n      background-color: #FFFFFF;\\n    }\\n    .panel {\\n      background-color: #000000;\\n      overflow: hidden;\\n    }\\n    .bk.frame {\\n      background-color: #FFFFFF;\\n      color: #FFFFFF;\\n    }\\n    .bk.legend {\\n      background-color: #16425B;\\n      color: #CCCCCC;\\n    }\\n    .bk.hot {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    }\\n    .bk.profile {\\n      background-color: #40C1C7;\\n      color: #CCCCCC;\\n    }\\n    .bk.colorbar {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    \");\n    },\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
       "}\n",
       "\n",
       "\n",
       "    function JupyterCommManager() {\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        comm_manager.register_target(comm_id, function(comm) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        });\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        });\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
       "          function processIteratorResult(result) {\n",
       "            var message = result.value;\n",
       "            console.log(message)\n",
       "            var content = {data: message.data, comm_id};\n",
       "            var buffers = []\n",
       "            for (var buffer of message.buffers || []) {\n",
       "              buffers.push(new DataView(buffer))\n",
       "            }\n",
       "            var metadata = message.metadata || {};\n",
       "            var msg = {content, buffers, metadata}\n",
       "            msg_handler(msg);\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "          return messages.next().then(processIteratorResult);\n",
       "        })\n",
       "      }\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
       "      if (comm_id in window.PyViz.comms) {\n",
       "        return window.PyViz.comms[comm_id];\n",
       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
       "        if (msg_handler) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        }\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
       "        comm.open();\n",
       "        if (msg_handler) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        }\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
       "        comm_promise.then((comm) => {\n",
       "          window.PyViz.comms[comm_id] = comm;\n",
       "          if (msg_handler) {\n",
       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
       "              var msg = {content, metadata}\n",
       "              msg_handler(msg);\n",
       "              return messages.next().then(processIteratorResult);\n",
       "            }\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "        }) \n",
       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
       "          });\n",
       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Launching server at http://localhost:40115\n",
      "\u001b[32msandbox.projector.projector: INFO\u001b[0m | Projector initialized and server started.\n",
      "Please position the browser window accordingly and enter fullscreen!\n"
     ]
    }
   ],
   "source": [
    "# Import projector\n",
    "from sandbox.projector import Projector\n",
    "projector = Projector(calibprojector=_calibprojector, use_panel=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.markers.aruco: INFO\u001b[0m | Using dummy arucos. Create your own aruco positions using .set_aruco_position() function\n",
      "\u001b[32msandbox.markers.aruco: INFO\u001b[0m | using dummy aruco module\n",
      "\u001b[32msandbox.markers.aruco: INFO\u001b[0m | Aruco module loaded\n",
      "\u001b[32msandbox.markers.markers_plotting: INFO\u001b[0m | Aruco detection ready\n"
     ]
    }
   ],
   "source": [
    "#Initialize the aruco detection\n",
    "from sandbox.markers import MarkerDetection\n",
    "aruco = MarkerDetection(sensor=sensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "      })\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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",
       "\tif (!js_urls.length) {\n",
       "      on_load()\n",
       "    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n",
       "  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\"\\n    body {\\n      margin:0px;\\n      background-color: #FFFFFF;\\n    }\\n    .panel {\\n      background-color: #000000;\\n      overflow: hidden;\\n    }\\n    .bk.frame {\\n      background-color: #FFFFFF;\\n      color: #FFFFFF;\\n    }\\n    .bk.legend {\\n      background-color: #16425B;\\n      color: #CCCCCC;\\n    }\\n    .bk.hot {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    }\\n    .bk.profile {\\n      background-color: #40C1C7;\\n      color: #CCCCCC;\\n    }\\n    .bk.colorbar {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    \");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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    var skip = [];\n    if (window.requirejs) {\n      require([], function() {\n      })\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) { on_load(); continue; }\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\tif (!js_urls.length) {\n      on_load()\n    }\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.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\"\\n    body {\\n      margin:0px;\\n      background-color: #FFFFFF;\\n    }\\n    .panel {\\n      background-color: #000000;\\n      overflow: hidden;\\n    }\\n    .bk.frame {\\n      background-color: #FFFFFF;\\n      color: #FFFFFF;\\n    }\\n    .bk.legend {\\n      background-color: #16425B;\\n      color: #CCCCCC;\\n    }\\n    .bk.hot {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    }\\n    .bk.profile {\\n      background-color: #40C1C7;\\n      color: #CCCCCC;\\n    }\\n    .bk.colorbar {\\n      background-color: #2896A5;\\n      color: #CCCCCC;\\n    \");\n    },\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
       "}\n",
       "\n",
       "\n",
       "    function JupyterCommManager() {\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        comm_manager.register_target(comm_id, function(comm) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        });\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        });\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
       "          function processIteratorResult(result) {\n",
       "            var message = result.value;\n",
       "            console.log(message)\n",
       "            var content = {data: message.data, comm_id};\n",
       "            var buffers = []\n",
       "            for (var buffer of message.buffers || []) {\n",
       "              buffers.push(new DataView(buffer))\n",
       "            }\n",
       "            var metadata = message.metadata || {};\n",
       "            var msg = {content, buffers, metadata}\n",
       "            msg_handler(msg);\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "          return messages.next().then(processIteratorResult);\n",
       "        })\n",
       "      }\n",
       "    }\n",
       "\n",
       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
       "      if (comm_id in window.PyViz.comms) {\n",
       "        return window.PyViz.comms[comm_id];\n",
       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
       "        if (msg_handler) {\n",
       "          comm.on_msg(msg_handler);\n",
       "        }\n",
       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
       "        comm.open();\n",
       "        if (msg_handler) {\n",
       "          comm.onMsg = msg_handler;\n",
       "        }\n",
       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
       "        comm_promise.then((comm) => {\n",
       "          window.PyViz.comms[comm_id] = comm;\n",
       "          if (msg_handler) {\n",
       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
       "              var msg = {content, metadata}\n",
       "              msg_handler(msg);\n",
       "              return messages.next().then(processIteratorResult);\n",
       "            }\n",
       "            return messages.next().then(processIteratorResult);\n",
       "          }\n",
       "        }) \n",
       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
       "          });\n",
       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
       "var CLASS_NAME = 'output';\n",
       "\n",
       "/**\n",
       " * Render data to the DOM node\n",
       " */\n",
       "function render(props, node) {\n",
       "  var div = document.createElement(\"div\");\n",
       "  var script = document.createElement(\"script\");\n",
       "  node.appendChild(div);\n",
       "  node.appendChild(script);\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when a new output is added\n",
       " */\n",
       "function handle_add_output(event, handle) {\n",
       "  var output_area = handle.output_area;\n",
       "  var output = handle.output;\n",
       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "    return\n",
       "  }\n",
       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "  if (id !== undefined) {\n",
       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
       "      if (nodelist.hasOwnProperty(i)) {\n",
       "        scripts.push(nodelist[i])\n",
       "      }\n",
       "    }\n",
       "\n",
       "    scripts.forEach( function (oldScript) {\n",
       "      var newScript = document.createElement(\"script\");\n",
       "      var attrs = [];\n",
       "      var nodemap = oldScript.attributes;\n",
       "      for (var j in nodemap) {\n",
       "        if (nodemap.hasOwnProperty(j)) {\n",
       "          attrs.push(nodemap[j])\n",
       "        }\n",
       "      }\n",
       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
       "    });\n",
       "    if (JS_MIME_TYPE in output.data) {\n",
       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
       "    }\n",
       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
       "    } else {\n",
       "      window.PyViz.plot_index[id] = null;\n",
       "    }\n",
       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "    var bk_div = document.createElement(\"div\");\n",
       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var script_attrs = bk_div.children[0].attributes;\n",
       "    for (var i = 0; i < script_attrs.length; i++) {\n",
       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "    }\n",
       "    // store reference to server id on output_area\n",
       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle when an output is cleared or removed\n",
       " */\n",
       "function handle_clear_output(event, handle) {\n",
       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
       "  } else if (comm !== null) {\n",
       "    comm.send({event_type: 'delete', 'id': id});\n",
       "  }\n",
       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
       "    doc.clear();\n",
       "    const i = window.Bokeh.documents.indexOf(doc);\n",
       "    if (i > -1) {\n",
       "      window.Bokeh.documents.splice(i, 1);\n",
       "    }\n",
       "  }\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle kernel restart event\n",
       " */\n",
       "function handle_kernel_cleanup(event, handle) {\n",
       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
       "}\n",
       "\n",
       "/**\n",
       " * Handle update_display_data messages\n",
       " */\n",
       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.projector.contourlines: INFO\u001b[0m | ContourLinesModule loaded successfully\n",
      "\u001b[32msandbox.projector.shading: INFO\u001b[0m | LightSource set to address RWTH Aachen, Germany at datetime Wed Mar 31 12:47:32 2021\n",
      "\u001b[32msandbox.projector.cmap: INFO\u001b[0m | CmapModule loaded successfully\n"
     ]
    }
   ],
   "source": [
    "from sandbox.main_thread import MainThread\n",
    "main = MainThread(sensor=sensor, projector=projector, aruco= aruco if 'aruco' in globals() else None)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.main_thread: INFO\u001b[0m | loaded\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "frame = np.load(_test_data[\"topo\"] + 'DEM1.npz')[\"arr_0\"]\n",
    "frame += np.abs(np.min(frame))\n",
    "main.load_frame(frame=frame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "main.load_frame(frame=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.main_thread: INFO\u001b[0m | Thread started or resumed...\n"
     ]
    }
   ],
   "source": [
    "# Start the thread \n",
    "main.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1027'>\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"de77d851-9a76-410a-bd7a-5840ebda7c61\" data-root-id=\"1027\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"ff23d04c-165f-40fc-b4e8-a058dba50f40\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1032\"},{\"id\":\"1074\"}],\"margin\":[0,0,0,0],\"name\":\"Row00120\"},\"id\":\"1031\",\"type\":\"Row\"},{\"attributes\":{\"children\":[{\"id\":\"1135\"},{\"id\":\"1136\"},{\"id\":\"1137\"},{\"id\":\"1138\"},{\"id\":\"1139\"}],\"margin\":[0,0,0,0],\"name\":\"Column00148\"},\"id\":\"1134\",\"type\":\"Column\"},{\"attributes\":{\"end\":800,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":1,\"title\":\"Height Legend\",\"value\":233,\"value_throttled\":233},\"id\":\"1138\",\"type\":\"Slider\"},{\"attributes\":{\"end\":780,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"title\":\"Top space\",\"value\":0,\"value_throttled\":0},\"id\":\"1135\",\"type\":\"Slider\"},{\"attributes\":{\"margin\":[0,0,0,0],\"tabs\":[{\"id\":\"1046\"},{\"id\":\"1058\"},{\"id\":\"1061\"}]},\"id\":\"1040\",\"type\":\"Tabs\"},{\"attributes\":{\"format\":null,\"margin\":[5,10,5,10],\"mode\":\"int\",\"placeholder\":\"0\",\"title\":\"Choose a contour step\",\"value\":100,\"value_throttled\":100},\"id\":\"1069\",\"type\":\"Spinner\"},{\"attributes\":{\"child\":{\"id\":\"1129\"},\"name\":\"Row00149\",\"title\":\"Legend\"},\"id\":\"1140\",\"type\":\"Panel\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00116\",\"text\":\"&lt;p&gt;&lt;b&gt; Modify contour lines manually &lt;/b&gt;&lt;/p&gt;\"},\"id\":\"1066\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1117\"},{\"id\":\"1118\"},{\"id\":\"1119\"},{\"id\":\"1120\"}],\"margin\":[0,0,0,0],\"name\":\"Column00135\"},\"id\":\"1116\",\"type\":\"Column\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Aruco Detection\"],\"margin\":[5,10,5,10]},\"id\":\"1077\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00083\",\"sizing_mode\":\"scale_width\",\"text\":\"&lt;p&gt;Wed Mar 31 12:47:32 2021&lt;/p&gt;\"},\"id\":\"1054\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1116\"},{\"id\":\"1121\"}],\"margin\":[0,0,0,0],\"name\":\"Row00137\"},\"id\":\"1115\",\"type\":\"Row\"},{\"attributes\":{\"margin\":[5,10,5,10],\"title\":\"Label of colorbar\"},\"id\":\"1119\",\"type\":\"TextInput\"},{\"attributes\":{\"format\":null,\"margin\":[5,10,5,10],\"min_width\":70,\"mode\":\"int\",\"placeholder\":\"0\",\"title\":\"x coordinate\",\"value\":50,\"value_throttled\":50,\"width\":70},\"id\":\"1090\",\"type\":\"Spinner\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00099\",\"text\":\"&lt;p&gt;&lt;b&gt; Lightsource &lt;/b&gt; &lt;/p&gt;\"},\"id\":\"1038\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"end\":1280,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":1,\"title\":\"Width Legend\",\"value\":175,\"value_throttled\":175},\"id\":\"1137\",\"type\":\"Slider\"},{\"attributes\":{\"margin\":[5,10,5,10],\"title\":\"Enter address (e.g. City, Country)\",\"value\":\"RWTH Aachen, Germany\"},\"id\":\"1048\",\"type\":\"TextInput\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00114\",\"text\":\"&lt;h3&gt;&lt;b&gt;Contour lines &lt;/b&gt;&lt;/h3&gt;\"},\"id\":\"1063\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"button_type\":\"success\",\"icon\":null,\"label\":\"Refresh legend\",\"margin\":[5,10,5,10],\"subscribed_events\":[\"button_click\"]},\"id\":\"1133\",\"type\":\"Button\"},{\"attributes\":{\"margin\":[5,10,5,10],\"title\":\"Select date (UTC +0)\",\"value\":\"2021-03-31\"},\"id\":\"1049\",\"type\":\"DatePicker\"},{\"attributes\":{\"children\":[{\"id\":\"1068\"},{\"id\":\"1069\"},{\"id\":\"1070\"},{\"id\":\"1071\"},{\"id\":\"1072\"},{\"id\":\"1073\"}],\"css_classes\":[\"panel-widget-box\"],\"margin\":[5,5,5,5],\"name\":\"WidgetBox00113\"},\"id\":\"1067\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00063\",\"text\":\"&lt;p&gt;&lt;b&gt; Dashboard for aruco Visualization &lt;/b&gt;&lt;/p&gt;\"},\"id\":\"1079\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"child\":{\"id\":\"1114\"},\"name\":\"Tabs00150\",\"title\":\"Side panel controller\"},\"id\":\"1141\",\"type\":\"Panel\"},{\"attributes\":{\"children\":[{\"id\":\"1122\"},{\"id\":\"1123\"},{\"id\":\"1124\"},{\"id\":\"1125\"},{\"id\":\"1126\"},{\"id\":\"1127\"}],\"margin\":[0,0,0,0],\"name\":\"Column00136\"},\"id\":\"1121\",\"type\":\"Column\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Show major contours\"],\"margin\":[5,10,5,10]},\"id\":\"1068\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"children\":[{\"id\":\"1030\"},{\"id\":\"1031\"}],\"margin\":[0,0,0,0],\"name\":\"Column00123\"},\"id\":\"1028\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1051\"},{\"id\":\"1052\"},{\"id\":\"1053\"}],\"margin\":[0,0,0,0],\"name\":\"Row00095\",\"width_policy\":\"min\"},\"id\":\"1050\",\"type\":\"Row\"},{\"attributes\":{\"end\":360.0,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0.0,\"step\":0.1,\"title\":\"Azimuth\",\"value\":202.81605836210923,\"value_throttled\":202.81605836210923},\"id\":\"1043\",\"type\":\"Slider\"},{\"attributes\":{\"children\":[{\"id\":\"1095\"},{\"id\":\"1096\"},{\"id\":\"1097\"},{\"id\":\"1098\"},{\"id\":\"1111\"},{\"id\":\"1112\"}],\"margin\":[0,0,0,0],\"name\":\"Column00071\"},\"id\":\"1094\",\"type\":\"Column\"},{\"attributes\":{\"button_type\":\"success\",\"icon\":null,\"label\":\"Refresh label\",\"margin\":[5,10,5,10],\"subscribed_events\":[\"button_click\"]},\"id\":\"1120\",\"type\":\"Button\"},{\"attributes\":{\"end\":23,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"title\":\"Hour\",\"value\":12,\"value_throttled\":12,\"width_policy\":\"min\"},\"id\":\"1051\",\"type\":\"Slider\"},{\"attributes\":{\"child\":{\"id\":\"1115\"},\"name\":\"Row00137\",\"title\":\"Colorbar\"},\"id\":\"1128\",\"type\":\"Panel\"},{\"attributes\":{\"margin\":[0,0,10,0],\"placeholder\":\"Filter selected options\",\"width_policy\":\"max\"},\"id\":\"1109\",\"type\":\"TextInput\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Active contours\"],\"margin\":[5,10,5,10]},\"id\":\"1064\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"format\":null,\"margin\":[5,10,5,10],\"min_width\":70,\"mode\":\"int\",\"placeholder\":\"0\",\"title\":\"y coordinate\",\"value\":50,\"value_throttled\":50,\"width\":70},\"id\":\"1091\",\"type\":\"Spinner\"},{\"attributes\":{\"end\":59,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"title\":\"Minute\",\"value\":47,\"value_throttled\":47,\"width_policy\":\"min\"},\"id\":\"1052\",\"type\":\"Slider\"},{\"attributes\":{\"client_comm_id\":\"a0ecad97c8a94486a54862b6d803deaf\",\"comm_id\":\"0b8442d336d44c6ba135f7dd9c5dcc19\",\"plot_id\":\"1027\"},\"id\":\"1142\",\"type\":\"panel.models.comm_manager.CommManager\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00066\",\"text\":\"&lt;h2&gt;Activate aruco detection&lt;/h2&gt;\"},\"id\":\"1076\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1087\"},{\"id\":\"1088\"},{\"id\":\"1092\"},{\"id\":\"1093\"}],\"css_classes\":[\"panel-widget-box\"],\"margin\":[5,5,5,5],\"name\":\"WidgetBox00060\"},\"id\":\"1086\",\"type\":\"Column\"},{\"attributes\":{\"margin\":[0,0,0,0],\"tabs\":[{\"id\":\"1128\"},{\"id\":\"1140\"}]},\"id\":\"1114\",\"type\":\"Tabs\"},{\"attributes\":{\"children\":[{\"id\":\"1130\"},{\"id\":\"1134\"}],\"margin\":[0,0,0,0],\"name\":\"Row00149\"},\"id\":\"1129\",\"type\":\"Row\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Show contours label\"],\"margin\":[5,10,5,10]},\"id\":\"1072\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Show minor contours\"],\"margin\":[5,10,5,10]},\"id\":\"1070\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"color\":\"#16425b\",\"margin\":[5,10,5,10],\"title\":\"Color background colorbar\"},\"id\":\"1139\",\"type\":\"ColorPicker\"},{\"attributes\":{\"format\":null,\"margin\":[5,10,5,10],\"mode\":\"int\",\"placeholder\":\"0\",\"title\":\"Choose a minor contour step\",\"value\":50,\"value_throttled\":50},\"id\":\"1071\",\"type\":\"Spinner\"},{\"attributes\":{\"children\":[{\"id\":\"1082\"},{\"id\":\"1083\"},{\"id\":\"1084\"},{\"id\":\"1085\"}],\"css_classes\":[\"panel-widget-box\"],\"margin\":[5,5,5,5],\"name\":\"WidgetBox00061\"},\"id\":\"1081\",\"type\":\"Column\"},{\"attributes\":{\"button_type\":\"warning\",\"icon\":null,\"label\":\"Clear aruco dict\",\"margin\":[5,10,5,10],\"subscribed_events\":[\"button_click\"]},\"id\":\"1093\",\"type\":\"Button\"},{\"attributes\":{\"children\":[{\"id\":\"1076\"},{\"id\":\"1077\"},{\"id\":\"1078\"}],\"margin\":[0,0,0,0],\"name\":\"Column00068\"},\"id\":\"1075\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00133\",\"text\":\"&lt;h3&gt;Colorbar&lt;/h3&gt;\"},\"id\":\"1117\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"child\":{\"id\":\"1041\"},\"name\":\"WidgetBox00094\",\"title\":\"Manual\"},\"id\":\"1046\",\"type\":\"Panel\"},{\"attributes\":{\"end\":780,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"title\":\"Top space\",\"value\":0,\"value_throttled\":0},\"id\":\"1123\",\"type\":\"Slider\"},{\"attributes\":{\"format\":null,\"margin\":[5,10,5,10],\"mode\":\"int\",\"placeholder\":\"0\",\"title\":\"set a contour label fontsize\",\"value\":15,\"value_throttled\":15},\"id\":\"1073\",\"type\":\"Spinner\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"VSpacer00041\",\"sizing_mode\":\"stretch_height\"},\"id\":\"1103\",\"type\":\"Spacer\"},{\"attributes\":{\"labels\":[\"Manual configuration\"],\"margin\":[5,10,5,10]},\"id\":\"1042\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Show aruco location\"],\"margin\":[5,10,5,10]},\"id\":\"1082\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"icon\":null,\"label\":\">>\",\"margin\":[5,10,5,10],\"min_width\":50,\"subscribed_events\":[\"button_click\"],\"width\":50},\"id\":\"1105\",\"type\":\"Button\"},{\"attributes\":{\"end\":59,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"title\":\"Second\",\"value\":32,\"value_throttled\":32,\"width_policy\":\"min\"},\"id\":\"1053\",\"type\":\"Slider\"},{\"attributes\":{\"children\":[{\"id\":\"1081\"},{\"id\":\"1086\"}],\"margin\":[0,0,0,0],\"name\":\"Row00062\"},\"id\":\"1080\",\"type\":\"Row\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Show aruco id\"],\"margin\":[5,10,5,10]},\"id\":\"1083\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"margin\":[5,10,5,10],\"options\":[\"gist_earth\",\"terrain\",\"ocean\",\"seismic\",\"RdBu\",\"RdBu_r\",\"Greys\",\"Greys_r\",\"viridis\",\"viridis_r\",\"magma\",\"magma_r\"],\"title\":\"Choose a colormap\",\"value\":\"gist_earth\"},\"id\":\"1036\",\"type\":\"Select\"},{\"attributes\":{\"end\":1260,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"title\":\"Left space\",\"value\":0,\"value_throttled\":0},\"id\":\"1124\",\"type\":\"Slider\"},{\"attributes\":{\"children\":[{\"id\":\"1105\"},{\"id\":\"1106\"}],\"margin\":[0,5,0,5],\"name\":\"Column00040\"},\"id\":\"1104\",\"type\":\"Column\"},{\"attributes\":{\"button_type\":\"success\",\"icon\":null,\"label\":\"Add dummy aruco dict\",\"margin\":[5,10,5,10],\"subscribed_events\":[\"button_click\"]},\"id\":\"1092\",\"type\":\"Button\"},{\"attributes\":{\"labels\":[\"Start day simulation increasing by hour\"],\"margin\":[5,10,5,10]},\"id\":\"1060\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"margin\":[5,10,5,10],\"options\":[\"vertical\",\"horizontal\"],\"title\":\"Orientation Colorbar\",\"value\":\"vertical\"},\"id\":\"1122\",\"type\":\"Select\"},{\"attributes\":{\"child\":{\"id\":\"1047\"},\"name\":\"WidgetBox00096\",\"title\":\"Geo-location\"},\"id\":\"1058\",\"type\":\"Panel\"},{\"attributes\":{\"margin\":[0,0,0,0],\"size\":10,\"sizing_mode\":\"stretch_both\"},\"id\":\"1101\",\"type\":\"MultiSelect\"},{\"attributes\":{\"color\":\"#ff0000\",\"margin\":[5,10,5,10],\"title\":\"Color\"},\"id\":\"1085\",\"type\":\"ColorPicker\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00102\",\"text\":\"&lt;h3&gt;&lt;b&gt;Colormap &lt;/b&gt;&lt;/h3&gt;\"},\"id\":\"1034\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"child\":{\"id\":\"1059\"},\"name\":\"WidgetBox00097\",\"title\":\"Day simulation\"},\"id\":\"1061\",\"type\":\"Panel\"},{\"attributes\":{\"margin\":[0,0,10,0],\"placeholder\":\"Filter available options\",\"width_policy\":\"max\"},\"id\":\"1100\",\"type\":\"TextInput\"},{\"attributes\":{\"labels\":[\"Check changes in fame\"],\"margin\":[5,10,5,10]},\"id\":\"1097\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"children\":[{\"id\":\"1038\"},{\"id\":\"1039\"},{\"id\":\"1040\"}],\"margin\":[0,0,0,0],\"name\":\"Column00101\"},\"id\":\"1037\",\"type\":\"Column\"},{\"attributes\":{\"margin\":[0,0,0,0],\"tabs\":[{\"id\":\"1113\"},{\"id\":\"1141\"}]},\"id\":\"1027\",\"type\":\"Tabs\"},{\"attributes\":{\"labels\":[\"Show line connecting arucos\"],\"margin\":[5,10,5,10]},\"id\":\"1084\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00081\",\"sizing_mode\":\"scale_width\",\"text\":\"&lt;p&gt;RWTH Aachen, Germany&lt;/p&gt;\"},\"id\":\"1057\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1099\"},{\"id\":\"1102\"},{\"id\":\"1108\"}],\"height\":200,\"margin\":[5,10,5,10],\"min_height\":200,\"min_width\":600,\"name\":\"Module manager\",\"width\":600},\"id\":\"1098\",\"type\":\"Row\"},{\"attributes\":{\"children\":[{\"id\":\"1060\"}],\"css_classes\":[\"panel-widget-box\"],\"margin\":[5,5,5,5],\"name\":\"WidgetBox00097\"},\"id\":\"1059\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00069\",\"text\":\"&lt;h2&gt;&lt;b&gt;Thread Controller&lt;/b&gt;&lt;/h2&gt;\"},\"id\":\"1095\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1042\"},{\"id\":\"1043\"},{\"id\":\"1044\"},{\"id\":\"1045\"}],\"css_classes\":[\"panel-widget-box\"],\"margin\":[5,5,5,5],\"name\":\"WidgetBox00094\"},\"id\":\"1041\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00121\",\"text\":\"&lt;h2&gt;Plotting interaction widgets&lt;/h2&gt;\"},\"id\":\"1030\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00145\",\"text\":\"&lt;h3&gt;Legend&lt;/h3&gt;\"},\"id\":\"1131\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"icon\":null,\"label\":\"<<\",\"margin\":[5,10,5,10],\"min_width\":50,\"subscribed_events\":[\"button_click\"],\"width\":50},\"id\":\"1106\",\"type\":\"Button\"},{\"attributes\":{\"format\":null,\"margin\":[5,10,5,10],\"placeholder\":\"0\",\"step\":0.01,\"title\":\"Vertical Exageration\",\"value\":0.25,\"value_throttled\":0.25},\"id\":\"1045\",\"type\":\"Spinner\"},{\"attributes\":{\"children\":[{\"id\":\"1033\"},{\"id\":\"1062\"}],\"margin\":[0,0,0,0],\"name\":\"Column00119\"},\"id\":\"1032\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1100\"},{\"id\":\"1101\"}],\"margin\":[0,0,0,0],\"name\":\"Column00038\",\"sizing_mode\":\"stretch_both\"},\"id\":\"1099\",\"type\":\"Column\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"VSpacer00042\",\"sizing_mode\":\"stretch_height\"},\"id\":\"1107\",\"type\":\"Spacer\"},{\"attributes\":{\"children\":[{\"id\":\"1048\"},{\"id\":\"1049\"},{\"id\":\"1050\"},{\"id\":\"1054\"},{\"id\":\"1055\"},{\"id\":\"1056\"},{\"id\":\"1057\"}],\"css_classes\":[\"panel-widget-box\"],\"margin\":[5,5,5,5],\"name\":\"WidgetBox00096\"},\"id\":\"1047\",\"type\":\"Column\"},{\"attributes\":{\"format\":null,\"margin\":[5,10,5,10],\"min_width\":70,\"mode\":\"int\",\"placeholder\":\"0\",\"title\":\"id\",\"value\":1,\"value_throttled\":1,\"width\":70},\"id\":\"1089\",\"type\":\"Spinner\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Show relief shading\"],\"margin\":[5,10,5,10]},\"id\":\"1039\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"children\":[{\"id\":\"1103\"},{\"id\":\"1104\"},{\"id\":\"1107\"}],\"margin\":[0,0,0,0],\"name\":\"Column00043\"},\"id\":\"1102\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1109\"},{\"id\":\"1110\"}],\"margin\":[0,0,0,0],\"name\":\"Column00039\",\"sizing_mode\":\"stretch_both\"},\"id\":\"1108\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00087\",\"sizing_mode\":\"scale_width\",\"text\":\"&lt;p&gt;Latitude: 50.7792 &lt;/p&gt;\\n&lt;p&gt;Longitude: 6.0689 &lt;/p&gt;\"},\"id\":\"1056\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1079\"},{\"id\":\"1080\"}],\"margin\":[0,0,0,0],\"name\":\"Column00065\"},\"id\":\"1078\",\"type\":\"Column\"},{\"attributes\":{\"margin\":[0,0,0,0],\"options\":[\"CmapModule\",\"ContourLinesModule\"],\"size\":10,\"sizing_mode\":\"stretch_both\"},\"id\":\"1110\",\"type\":\"MultiSelect\"},{\"attributes\":{\"children\":[{\"id\":\"1034\"},{\"id\":\"1035\"},{\"id\":\"1036\"},{\"id\":\"1037\"}],\"margin\":[0,0,0,0],\"name\":\"Column00104\"},\"id\":\"1033\",\"type\":\"Column\"},{\"attributes\":{\"labels\":[\"Show legend\"],\"margin\":[5,10,5,10]},\"id\":\"1132\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"children\":[{\"id\":\"1075\"},{\"id\":\"1094\"}],\"margin\":[0,0,0,0],\"name\":\"Column00072\"},\"id\":\"1074\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1131\"},{\"id\":\"1132\"},{\"id\":\"1133\"}],\"margin\":[0,0,0,0],\"name\":\"Column00147\"},\"id\":\"1130\",\"type\":\"Column\"},{\"attributes\":{\"end\":800,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":1,\"title\":\"Height colorbar\",\"value\":500,\"value_throttled\":500},\"id\":\"1126\",\"type\":\"Slider\"},{\"attributes\":{\"active\":[0],\"labels\":[\"Show colormap\"],\"margin\":[5,10,5,10]},\"id\":\"1035\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"color\":\"#2896a5\",\"margin\":[5,10,5,10],\"title\":\"Color background colorbar\"},\"id\":\"1127\",\"type\":\"ColorPicker\"},{\"attributes\":{\"children\":[{\"id\":\"1063\"},{\"id\":\"1064\"},{\"id\":\"1065\"},{\"id\":\"1066\"},{\"id\":\"1067\"}],\"margin\":[0,0,0,0],\"name\":\"Column00118\"},\"id\":\"1062\",\"type\":\"Column\"},{\"attributes\":{\"active\":0,\"button_type\":\"success\",\"labels\":[\"Start\",\"Stop\"],\"margin\":[5,10,5,10]},\"id\":\"1096\",\"type\":\"RadioButtonGroup\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00058\",\"text\":\"&lt;p&gt;&lt;b&gt; Dummy aruco &lt;/b&gt;&lt;/p&gt;\"},\"id\":\"1087\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"labels\":[\"Show colorbar\"],\"margin\":[5,10,5,10]},\"id\":\"1118\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"end\":1280,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":1,\"title\":\"Width Colorbar\",\"value\":70,\"value_throttled\":70},\"id\":\"1125\",\"type\":\"Slider\"},{\"attributes\":{\"end\":1260,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"title\":\"Left space\",\"value\":0,\"value_throttled\":0},\"id\":\"1136\",\"type\":\"Slider\"},{\"attributes\":{\"end\":90.0,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0.0,\"step\":0.1,\"title\":\"Altitude\",\"value\":41.47143697871155,\"value_throttled\":41.47143697871155},\"id\":\"1044\",\"type\":\"Slider\"},{\"attributes\":{\"button_type\":\"warning\",\"icon\":null,\"label\":\"Clear axes from projector / refresh list\",\"margin\":[5,10,5,10],\"subscribed_events\":[\"button_click\"]},\"id\":\"1111\",\"type\":\"Button\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00085\",\"sizing_mode\":\"scale_width\",\"text\":\"&lt;p&gt;Azimuth: 202.8161 &lt;/p&gt;\\n&lt;p&gt;Altitude: 41.4714 &lt;/p&gt;\"},\"id\":\"1055\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"labels\":[\"Automatic levels for contours\"],\"margin\":[5,10,5,10]},\"id\":\"1065\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00044\",\"text\":\"&lt;p&gt;Open_AR_Sandbox&lt;/p&gt;\"},\"id\":\"1112\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1089\"},{\"id\":\"1090\"},{\"id\":\"1091\"}],\"margin\":[0,0,0,0],\"name\":\"Row00057\"},\"id\":\"1088\",\"type\":\"Row\"},{\"attributes\":{\"child\":{\"id\":\"1028\"},\"name\":\"Column00123\",\"title\":\"Main frame controller\"},\"id\":\"1113\",\"type\":\"Panel\"}],\"root_ids\":[\"1027\",\"1142\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"ff23d04c-165f-40fc-b4e8-a058dba50f40\",\"root_ids\":[\"1027\"],\"roots\":{\"1027\":\"de77d851-9a76-410a-bd7a-5840ebda7c61\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "Tabs\n",
       "    [0] Column\n",
       "        [0] Markdown(str)\n",
       "        [1] Row\n",
       "            [0] Column\n",
       "                [0] Column\n",
       "                    [0] Markdown(str)\n",
       "                    [1] Checkbox(name='Show colormap', value=True)\n",
       "                    [2] Select(name='Choose a colormap', options=['gist_earth', ...], value='gist_earth')\n",
       "                    [3] Column\n",
       "                        [0] Markdown(str)\n",
       "                        [1] Checkbox(name='Show relief shading', value=True)\n",
       "                        [2] Tabs\n",
       "                            [0] WidgetBox\n",
       "                                [0] Checkbox(name='Manual configuration')\n",
       "                                [1] FloatSlider(end=360.0, name='Azimuth', value=202.81605836210923, value_throttled=202.81605836210923)\n",
       "                                [2] FloatSlider(end=90.0, name='Altitude', value=41.47143697871155, value_throttled=41.47143697871155)\n",
       "                                [3] FloatInput(name='Vertical Exageration', step=0.01, value=0.25, value_throttled=0.25)\n",
       "                            [1] WidgetBox\n",
       "                                [0] TextInput(name='Enter address (e.g. City,..., value='RWTH Aachen, Germany')\n",
       "                                [1] DatePicker(name='Select date (UTC +0)', value=datetime.date(2021, ...)\n",
       "                                [2] Row(width_policy='min')\n",
       "                                    [0] IntSlider(end=23, name='Hour', value=12, value_throttled=12, width_policy='min')\n",
       "                                    [1] IntSlider(end=59, name='Minute', value=47, value_throttled=47, width_policy='min')\n",
       "                                    [2] IntSlider(end=59, name='Second', value=32, value_throttled=32, width_policy='min')\n",
       "                                [3] Markdown(str, sizing_mode='scale_width')\n",
       "                                [4] Markdown(str, sizing_mode='scale_width')\n",
       "                                [5] Markdown(str, sizing_mode='scale_width')\n",
       "                                [6] Markdown(str, sizing_mode='scale_width')\n",
       "                            [2] WidgetBox\n",
       "                                [0] Checkbox(name='Start day simulation i...)\n",
       "                [1] Column\n",
       "                    [0] Markdown(str)\n",
       "                    [1] Checkbox(name='Active contours', value=True)\n",
       "                    [2] Checkbox(name='Automatic levels f...)\n",
       "                    [3] Markdown(str)\n",
       "                    [4] WidgetBox\n",
       "                        [0] Checkbox(name='Show major contours', value=True)\n",
       "                        [1] IntInput(name='Choose a contour step', value=100, value_throttled=100)\n",
       "                        [2] Checkbox(name='Show minor contours', value=True)\n",
       "                        [3] IntInput(name='Choose a minor c..., value=50, value_throttled=50)\n",
       "                        [4] Checkbox(name='Show contours label', value=True)\n",
       "                        [5] IntInput(name='set a contour l..., value=15, value_throttled=15)\n",
       "            [1] Column\n",
       "                [0] Column\n",
       "                    [0] Markdown(str)\n",
       "                    [1] Checkbox(name='Aruco Detection', value=True)\n",
       "                    [2] Column\n",
       "                        [0] Markdown(str)\n",
       "                        [1] Row\n",
       "                            [0] WidgetBox\n",
       "                                [0] Checkbox(name='Show aruco location', value=True)\n",
       "                                [1] Checkbox(name='Show aruco id', value=True)\n",
       "                                [2] Checkbox(name='Show line connecting a...)\n",
       "                                [3] ColorPicker(name='Color', value='#ff0000')\n",
       "                            [1] WidgetBox\n",
       "                                [0] Markdown(str)\n",
       "                                [1] Row\n",
       "                                    [0] IntInput(name='id', value=1, value_throttled=1, width=70)\n",
       "                                    [1] IntInput(name='x coordinate', value=50, value_throttled=50, width=70)\n",
       "                                    [2] IntInput(name='y coordinate', value=50, value_throttled=50, width=70)\n",
       "                                [2] Button(button_type='success', name='Add dummy aruco dict')\n",
       "                                [3] Button(button_type='warning', name='Clear aruco dict')\n",
       "                [1] Column\n",
       "                    [0] Markdown(str)\n",
       "                    [1] RadioButtonGroup(button_type='success', name='Thread controller', options=['Start', 'Stop'], value='Start')\n",
       "                    [2] Checkbox(name='Check changes in fame')\n",
       "                    [3] CrossSelector(definition_order=False, name='Module manager', options=['CmapModule', ...], value=['CmapModule', ...])\n",
       "                    [4] Button(button_type='warning', name='Clear axes from p...)\n",
       "                    [5] Markdown(str)\n",
       "    [1] Tabs\n",
       "        [0] Row\n",
       "            [0] Column\n",
       "                [0] Markdown(str)\n",
       "                [1] Checkbox(name='Show colorbar')\n",
       "                [2] TextInput(name='Label of colorbar')\n",
       "                [3] Button(button_type='success', name='Refresh label')\n",
       "            [1] Column\n",
       "                [0] Select(name='Orientation Colorbar', options=['vertical', '...], value='vertical')\n",
       "                [1] IntSlider(end=780, name='Top space', value_throttled=0)\n",
       "                [2] IntSlider(end=1260, name='Left space', value_throttled=0)\n",
       "                [3] IntSlider(end=1280, name='Width Colorbar', start=1, value=70, value_throttled=70)\n",
       "                [4] IntSlider(end=800, name='Height colorbar', start=1, value=500, value_throttled=500)\n",
       "                [5] ColorPicker(name='Color background c..., value='#2896A5')\n",
       "        [1] Row\n",
       "            [0] Column\n",
       "                [0] Markdown(str)\n",
       "                [1] Checkbox(name='Show legend')\n",
       "                [2] Button(button_type='success', name='Refresh legend')\n",
       "            [1] Column\n",
       "                [0] IntSlider(end=780, name='Top space', value_throttled=0)\n",
       "                [1] IntSlider(end=1260, name='Left space', value_throttled=0)\n",
       "                [2] IntSlider(end=1280, name='Width Legend', start=1, value=175, value_throttled=175)\n",
       "                [3] IntSlider(end=800, name='Height Legend', start=1, value=233, value_throttled=233)\n",
       "                [4] ColorPicker(name='Color background c..., value='#16425B')"
      ]
     },
     "execution_count": 20,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1027"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "main.widget_plot_module()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading Noddy to the sandbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sandbox.modules.pynoddy import PynoddyModule"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.modules.pynoddy.pynoddy_module: INFO\u001b[0m | Model extent: [0, 12400, 0, 9400, 0, 5000]\n",
      "\u001b[32msandbox.modules.pynoddy.pynoddy_module: INFO\u001b[0m | Model resolution: [124, 94, 50]\n",
      "\u001b[32msandbox.modules.pynoddy.pynoddy_module: INFO\u001b[0m | Size of each block: [100, 100, 100]\n",
      "\u001b[32msandbox.modules.gempy.utils: INFO\u001b[0m | scale in Model units/ mm (X,Y,Z): [12.4, 11.75, 15.625]\n",
      "\u001b[32msandbox.modules.gempy.utils: INFO\u001b[0m | the shown extent is [0.0, 12400.0, 0.0, 9400.0] \n",
      "\u001b[32msandbox.modules.pynoddy.pynoddy_module: INFO\u001b[0m | PynoddyModule loaded successfully\n"
     ]
    }
   ],
   "source": [
    "noddy = PynoddyModule(output_model=N1, extent=sensor.extent, box=sensor.physical_dimensions)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add the module to the main thread"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.main_thread: INFO\u001b[0m | module Pynoddy added to modules\n"
     ]
    }
   ],
   "source": [
    "main.add_module(name ='Pynoddy', module=noddy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[32msandbox.main_thread: INFO\u001b[0m | Thread stopped.\n"
     ]
    }
   ],
   "source": [
    "main.stop()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add Noddy to main Thread"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "scale_frame = noddy.scale_frame_to_model(main.sb_params.get(\"frame\"))\n",
    "_ = noddy.grid.update_grid(scale_frame)\n",
    "\n",
    "empty2d = np.zeros((noddy.model_resolution[0], noddy.model_resolution[1], 3))\n",
    "for i in range(3):\n",
    "    empty2d[:, :, i] = noddy.grid.depth_grid[:, i].reshape(noddy.model_resolution[:2])\n",
    "topo_level = empty2d[..., 2, np.newaxis]\n",
    "\n",
    "noddy.create_topography_mask(topo_level)\n",
    "noddy.set_block_solution_to_topography()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.vertices_mapview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.set_block_solution_to_topography()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "noddy.plot_mapview()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "noddy.plot_mapview(show_contour=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768 at 0x7F4041657A90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "noddy.plot_3D(topography=False, cmap=\"YlOrRd\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=1024x768 at 0x7F4041657C90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "noddy.plot_3D(topography=True, cmap=\"YlOrRd\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Section in y-direction, pos=90'}, xlabel='x', ylabel='z'>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "noddy.plot_section(direction='y', \n",
    "                   position=90,\n",
    "                   topography=False,\n",
    "                   colorbar=True,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.plot_section(direction='x', \n",
    "                   position=120,\n",
    "                   topography=True,\n",
    "                   colorbar=True,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.grid.depth_grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig, ax = plt.subplots() \n",
    "im = ax.contourf(values)\n",
    "fig.colorbar(im, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import skimage.measure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vertices, simplices, normals, values = skimage.measure.marching_cubes(noddy.block_model*noddy.mask, 6)#, mask = noddy.mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy._values_ix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for val in noddy.grid.depth_grid[:,2]:\n",
    "    np.where(noddy._values_ix[:,0] == val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.where(noddy._values_ix[:,0] == val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.block_model*noddy.mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.where(noddy._values_ix[:,0] == noddy.grid.depth_grid[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy._values_ix[:,0].shape == noddy.grid.depth_grid[:,0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.grid.depth_grid[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.grid.depth_grid[:,:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "block = noddy.block_model.copy()\n",
    "\n",
    "for i in noddy.grid.depth_grid:\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "block.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vertices, simplices, normals, values = skimage.measure.marching_cubes(noddy.block_model, 5, mask = noddy.mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyvista\n",
    "pyvista.plot(vertices, notebook=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cop = noddy.block_model.copy()\n",
    "mask = np.where(cop*noddy.mask==0)\n",
    "cop[mask] = -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.unravel_index(np.argmin(cop, axis=None), cop.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "height, width, depth = cop.shape\n",
    "vertices = []\n",
    "for i in range(height):\n",
    "    for j in range(width):\n",
    "        pos = np.argmin(cop[i, j, :])\n",
    "        vertices.append([i,j,noddy.block_model[i,j,pos]])\n",
    "        #cop[i,j, pos] = -10\n",
    "vertices = np.asarray(vertices)       \n",
    "#cop[np.where(cop==-1)] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cop.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyvista\n",
    "pyvista.plot(cop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vertices, simplices, normals, values = skimage.measure.marching_cubes(cop, -10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pyvista.plot(vertices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = skimage.transform.resize(\n",
    "                vertices[:,2].reshape(noddy.model_resolution[:2]),\n",
    "                (1600, 1600),\n",
    "                order=3,\n",
    "                mode='edge',\n",
    "                anti_aliasing=True, preserve_range=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = vertices[:,2].reshape(noddy.model_resolution[:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.imshow(img, origin=\"lower\", interpolation='spline16')\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'antialiased', 'nearest', 'bilinear',\n",
    "    'bicubic', 'spline16', 'spline36', 'hanning', 'hamming', 'hermite',\n",
    "    'kaiser', 'quadric', 'catrom', 'gaussian', 'bessel', 'mitchell',\n",
    "    'sinc', 'lanczos'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.contourf(img, extent = noddy.model_extent[:4])\n",
    "plt.contour(frame, extent = noddy.model_extent[:4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.contourf(img, extent = noddy.model_extent[:4])\n",
    "plt.contour(frame, extent = noddy.model_extent[:4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "noddy.block_model[0,0,10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vertices[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12400.0"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "N1.extent_x"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}