{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ab23ab7d-347c-4968-9168-5a3c8a901533",
   "metadata": {},
   "source": [
    "# Holoviz plotting - shrinking the time range"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62867e5f-8d1f-488d-98dd-1b8792b0be20",
   "metadata": {},
   "source": [
    "We've attempted to use the Holoviz package to make some interactive figures. The figures need an active python kernel to function, and so can't be inserted directly into a static webpage.\n",
    "\n",
    "In this notebook, we show some examples of creating interactive figures to highlight what can be done. At the end of the script, we build a plotting function, and bind it in a Holoviz Panel, which can then be launched as an app. This requires a separately running server to host the python functionality, and highlights the sort of possibilities that these tools can have."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c69ea8a8-7e25-4058-a147-ea26bd48e842",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "\n",
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       "    }\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
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       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
       "\ton_load()\n",
       "\tcontinue;\n",
       "      }\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",
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       "        skip.push(urls[i])\n",
       "      }\n",
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       "      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
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       "\t}\n",
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       "      window.${name} = ${name}\n",
       "      window._bokeh_on_load()\n",
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       "      on_load()\n",
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       "  };\n",
       "\n",
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       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
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       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n",
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       "    } else if (!root._bokeh_failed_load) {\n",
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       "      root._bokeh_is_initializing = false;\n",
       "      root._bokeh_onload_callbacks = undefined;\n",
       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
       "      load_or_wait();\n",
       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
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       "      Bokeh = root.Bokeh;\n",
       "      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "      root._bokeh_is_initializing = true\n",
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       "      if (!reloading && (!bokeh_loaded || is_dev)) {\n",
       "\troot.Bokeh = undefined;\n",
       "      }\n",
       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "\trun_inline_js();\n",
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i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.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-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.1.min.js\", \"https://cdn.holoviz.org/panel/1.2.1/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(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      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = 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    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      Bokeh = root.Bokeh;\n      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
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     "data": {
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       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
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       "    var nchildren = toinsert.length;\n",
       "    var html_node = toinsert[nchildren-1].children[0];\n",
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       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
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       "  });\n",
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       "\n",
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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  } 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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": {
      "text/html": [
       "<style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
       "}\n",
       "\n",
       "/* Override VSCode background color */\n",
       ".cell-output-ipywidget-background:has(\n",
       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
       "  ),\n",
       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "  var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
       "  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
       "  var reloading = true;\n",
       "  var Bokeh = root.Bokeh;\n",
       "  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\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, js_modules, js_exports, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "    if (js_modules == null) js_modules = [];\n",
       "    if (js_exports == null) js_exports = {};\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    if (!reloading) {\n",
       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    }\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",
       "    window._bokeh_on_load = on_load\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
       "      require([\"jspanel\"], function(jsPanel) {\n",
       "\twindow.jsPanel = jsPanel\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-modal\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-tooltip\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-hint\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-layout\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-contextmenu\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-dock\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"gridstack\"], function(GridStack) {\n",
       "\twindow.GridStack = GridStack\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"notyf\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      root._bokeh_is_loading = css_urls.length + 9;\n",
       "    } else {\n",
       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
       "    }\n",
       "\n",
       "    var existing_stylesheets = []\n",
       "    var links = document.getElementsByTagName('link')\n",
       "    for (var i = 0; i < links.length; i++) {\n",
       "      var link = links[i]\n",
       "      if (link.href != null) {\n",
       "\texisting_stylesheets.push(link.href)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
       "\ton_load()\n",
       "\tcontinue;\n",
       "      }\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",
       "    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    var existing_scripts = []\n",
       "    var scripts = document.getElementsByTagName('script')\n",
       "    for (var i = 0; i < scripts.length; i++) {\n",
       "      var script = scripts[i]\n",
       "      if (script.src != null) {\n",
       "\texisting_scripts.push(script.src)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\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",
       "    for (var i = 0; i < js_modules.length; i++) {\n",
       "      var url = js_modules[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\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",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (const name in js_exports) {\n",
       "      var url = js_exports[name];\n",
       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      element.textContent = `\n",
       "      import ${name} from \"${url}\"\n",
       "      window.${name} = ${name}\n",
       "      window._bokeh_on_load()\n",
       "      `\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    if (!js_urls.length && !js_modules.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 = [];\n",
       "  var js_modules = [];\n",
       "  var js_exports = {};\n",
       "  var css_urls = [];\n",
       "  var inline_js = [    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",
       "      }\n",
       "      // Cache old bokeh versions\n",
       "      if (Bokeh != undefined && !reloading) {\n",
       "\tvar NewBokeh = root.Bokeh;\n",
       "\tif (Bokeh.versions === undefined) {\n",
       "\t  Bokeh.versions = new Map();\n",
       "\t}\n",
       "\tif (NewBokeh.version !== Bokeh.version) {\n",
       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
       "\t}\n",
       "\troot.Bokeh = 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",
       "    root._bokeh_is_initializing = false\n",
       "  }\n",
       "\n",
       "  function load_or_wait() {\n",
       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
       "    // versions of Bokeh and its dependencies at the same time.\n",
       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
       "    // to determine whether there is an ongoing attempt to initialize\n",
       "    // bokeh, however for backward compatibility we also try to ensure\n",
       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
       "    // before older versions are fully initialized.\n",
       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
       "      root._bokeh_is_initializing = false;\n",
       "      root._bokeh_onload_callbacks = undefined;\n",
       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
       "      load_or_wait();\n",
       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
       "      setTimeout(load_or_wait, 100);\n",
       "    } else {\n",
       "      Bokeh = root.Bokeh;\n",
       "      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "      root._bokeh_is_initializing = true\n",
       "      root._bokeh_onload_callbacks = []\n",
       "      if (!reloading && (!bokeh_loaded || is_dev)) {\n",
       "\troot.Bokeh = undefined;\n",
       "      }\n",
       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "\trun_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }\n",
       "  // Give older versions of the autoload script a head-start to ensure\n",
       "  // they initialize before we start loading newer version.\n",
       "  setTimeout(load_or_wait, 100)\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.2.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n  var reloading = true;\n  var Bokeh = root.Bokeh;\n  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n      require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n      })\n      require([\"jspanel-modal\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-tooltip\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-hint\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-layout\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-dock\"], function() {\n\ton_load()\n      })\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 9;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\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    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\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      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.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 = [];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(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      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = 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    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      Bokeh = root.Bokeh;\n      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
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       "<style>*[data-root-id],\n",
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   ],
   "source": [
    "import erddapy\n",
    "from erddapy import ERDDAP\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import datetime\n",
    "\n",
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "import pathlib\n",
    "\n",
    "import holoviews as hv\n",
    "import hvplot.pandas # noqa\n",
    "import hvplot.xarray\n",
    "import panel as pn\n",
    "\n",
    "\n",
    "pn.extension(template='material')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ec619abf-30e3-4658-a8d0-541d19ded668",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_erddap_data(erddap_url, dataset, data_protocol=\"griddap\", variables=None, constraints=None):\n",
    "    \"\"\"\n",
    "    Function: get_erddap_data\n",
    "    This function uses the erddapy python library to access data from ERDDAP servers,\n",
    "    and to return it to users in convenient formats for python users.\n",
    "    Data can be pulled from \"tabledap\" or \"griddap\" formats, with different\n",
    "    output types, depending on the dap type.\n",
    "    \n",
    "    Inputs:\n",
    "    erddap_url    - The url address of the erddap server to pull data from\n",
    "    variables     - The selected variables within the dataset.\n",
    "    data_protocol - The erddap data protocol for the chosen dataset.\n",
    "                    Options include \"tabledap\" or \"griddap\"\n",
    "                    The default option is given as \"griddap\"\n",
    "    dataset       - The ID for the relevant dataset on the erddap server\n",
    "                    If no variables are given, it is assumed that all variables\n",
    "                    will be pulled.\n",
    "    constraints   - These are set by the user to help restrict the data pull\n",
    "                    to only the area and timeframe of interest.\n",
    "                    If no constraints are given, all data in a dataset is pulled.\n",
    "                    Constraints should be given as a dictionary, where\n",
    "                    each entry is a bound and/or selection of a specific axis variable\n",
    "                    Exs. {\"longitude<=\": \"min(longitude)+10\", \"longitude>=\": \"0\"}\n",
    "                         {\"longitude=\": \"140\", \"time>=\": \"max(time)-30\"}\n",
    "    \n",
    "    Outputs:\n",
    "    erddap_data   - This variable contains the pulled data from the erddap server.\n",
    "                    If the data_protocol is \"griddap\",  then erddap_data is an xarray dataset\n",
    "                    If the data_protocol is \"tabledap\", then erddap_data is a pandas dataframe\n",
    "    \"\"\"\n",
    "    \n",
    "    import erddapy\n",
    "    from erddapy import ERDDAP\n",
    "    import pandas as pd\n",
    "    import xarray\n",
    "    \n",
    "    \n",
    "    ############################################\n",
    "    # Set-up the connection to the ERDDAP server\n",
    "    ############################################\n",
    "    \n",
    "    # Connect to the erddap server\n",
    "    e = ERDDAP(server=erddap_url, protocol=data_protocol, response='csv')\n",
    "    \n",
    "    # Identify the dataset of interest\n",
    "    e.dataset_id = dataset\n",
    "    \n",
    "    \n",
    "    #########################################\n",
    "    # Pull the data, based upon protocol type\n",
    "    #########################################\n",
    "    \n",
    "    # GRIDDAP Protocol\n",
    "    if data_protocol == \"griddap\":\n",
    "        \n",
    "        # Initialize the connection\n",
    "        e.griddap_initialize()\n",
    "\n",
    "        # Update the constraints\n",
    "        if constraints is not None:\n",
    "            e.constraints.update(constraints)\n",
    "            e.griddap_initialize()\n",
    "            \n",
    "        # Update the selection of the variables\n",
    "        if variables is not None:\n",
    "            e.variables = variables\n",
    "\n",
    "        erddap_data = e.to_xarray()\n",
    "    \n",
    "    # TABLEDAP Protocol\n",
    "    elif data_protocol == \"tabledap\":\n",
    "\n",
    "        # Update the constraints\n",
    "        if constraints is not None:\n",
    "            e.constraints = constraints\n",
    "            \n",
    "        # Update the selection of the variables\n",
    "        if variables is not None:\n",
    "            e.variables = variables\n",
    "            \n",
    "        erddap_data = e.to_pandas()\n",
    "    \n",
    "    # Invalid protocol given\n",
    "    else:\n",
    "        print('Invalid ERDDAP protocol. Given protocol is: ' + data_protocol)\n",
    "        print('Valid protocols include \"griddap\" or \"tabledap\". Please restart and try again with a valid protocol')\n",
    "        erddap_data = None\n",
    "    \n",
    "    \n",
    "    #############################\n",
    "    return erddap_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7758cdee-61f2-4880-9a9f-fae4f8c6041f",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Load in data from the ERDDAP server"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af82699a-160f-4350-902d-024d0fd61f32",
   "metadata": {
    "tags": []
   },
   "source": [
    "First, we need to get some data. To do this, we can download data from the NANOOS buoy near Hansville, WA. The data is a gridded product of individual CTD casts taken for the last 10+ years on a near-daily basis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2da6d7e2-c858-4636-bd8b-1bfe5a704b29",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "nwem_url = 'http://nwem.apl.washington.edu/erddap'\n",
    "\n",
    "nwem_dataset = 'orca3_L3_depthgridded_025'\n",
    "\n",
    "variables = [\"sea_water_temperature\",\n",
    "             \"sea_water_practical_salinity\",\n",
    "             \"mass_concentration_of_oxygen_in_sea_water\"]\n",
    "\n",
    "constraints = {\"cast_start_time>=\":datetime.datetime(2016,1,1).strftime('%Y-%m-%dT%H:%M:%SZ')}\n",
    "#constraints = {\"cast_start_time>=\": \"max(cast_start_time)-365\"}\n",
    "\n",
    "nwem_grid = get_erddap_data(nwem_url, nwem_dataset, \n",
    "                variables=variables, \n",
    "                constraints=constraints,\n",
    "                data_protocol=\"griddap\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a97901d1-35f9-43af-b741-1234e450040e",
   "metadata": {},
   "source": [
    "# Create a slider to move between individual casts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d30ff148-3978-41dc-b386-abbfcf98e8a7",
   "metadata": {},
   "source": [
    "Next, we can create an interactive plot, where we can show the sea surface temperature for individual casts."
   ]
  },
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   "execution_count": 4,
   "id": "9b5f047a-dcd0-42f8-80f0-72b3f6f258c3",
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(m)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"51151401-e909-4080-9125-d00273ae5ccd\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"a3f8638e-a5d1-4573-b336-25a27a204d12\",\"attributes\":{\"axis\":{\"id\":\"057acde3-fadf-4711-8d2a-04b858384166\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"a0f8ebe8-f21c-4621-bd4d-7807ea256f3b\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"690000a0-93ed-4dbb-b6a6-a41249368dc8\"},\"grid_line_color\":null}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}}]}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"3798a30d-628f-4d55-9596-24cf5db34c77\",\"attributes\":{\"plot_id\":\"5773be60-3981-4309-9ad5-a55cc5722b0a\",\"comm_id\":\"d6d325f0460244d9afbb6b49850f75cd\",\"client_comm_id\":\"5b362ad9f5414835a6572404aa17a64f\"}},{\"type\":\"object\",\"name\":\"panel.models.location.Location\",\"id\":\"f5964786-bbee-408d-952e-e1c60837a131\",\"attributes\":{\"reload\":false}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"a10dcf45-04b2-46e0-bb29-06a0831bc7ec\",\"roots\":{\"5773be60-3981-4309-9ad5-a55cc5722b0a\":\"bbadd4e2-42f4-4053-822f-d0f235662e0d\"},\"root_ids\":[\"5773be60-3981-4309-9ad5-a55cc5722b0a\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "<hvplot.xarray.XArrayInteractive at 0x7f927bc19160>"
      ]
     },
     "execution_count": 4,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "5773be60-3981-4309-9ad5-a55cc5722b0a"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slider = pn.widgets.IntSlider(name='Dates', start=100, end=nwem_grid.dims['cast_start_time'])\n",
    "nwem_grid.interactive().isel(cast_start_time=slider).sea_water_temperature.hvplot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f824797-a582-4b02-b73f-18391317022e",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Create a function to create an interactive plotting time range"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1538702-c28e-4f82-bfb7-9cd1d79aece3",
   "metadata": {},
   "source": [
    "Finally, we can try to create a Holoviz Panel app, which can be embedded into a webpage, if there is an active server running."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7638d325-878c-4c68-a6af-fb4ce5e62760",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_timerange(nwem_interactive, date_slider):\n",
    "    \n",
    "    #print(date_slider)\n",
    "    #print(date_slider.value[0])\n",
    "    start_date = np.datetime64(date_slider[0])\n",
    "    end_date = np.datetime64(date_slider[1])\n",
    "    nwem_to_plot = nwem_interactive.where(np.logical_and(nwem_interactive.cast_start_time >= start_date,\n",
    "                                                         nwem_interactive.cast_start_time <= end_date),drop=True)\n",
    "    dates_to_plot = nwem_to_plot.cast_start_time.values\n",
    "    depths_to_plot = nwem_to_plot.depth.values\n",
    "    sst_to_plot = nwem_to_plot.sea_water_temperature.values\n",
    "    sss_to_plot = nwem_to_plot.sea_water_practical_salinity.values\n",
    "    \n",
    "    fig = plt.Figure(figsize=(6,4))\n",
    "    \n",
    "    ax1 = fig.add_subplot(211)\n",
    "    cb = ax1.pcolor(dates_to_plot, depths_to_plot, sst_to_plot.T)\n",
    "    ax1.invert_yaxis()\n",
    "    fig.colorbar(cb,ax=ax1,label='Temperature')\n",
    "    ax1.set_title('Hansville - NANOOS Buoy')\n",
    "    ax1.set_ylabel('Depth (m)')\n",
    "    \n",
    "    ax2 = fig.add_subplot(212)\n",
    "    cb = ax2.pcolor(dates_to_plot, depths_to_plot, sss_to_plot.T)\n",
    "    ax2.invert_yaxis()\n",
    "    fig.colorbar(cb,ax=ax2,label='Salinity')\n",
    "    ax2.set_ylabel('Depth (m)')\n",
    "    \n",
    "    fig.tight_layout()\n",
    "    \n",
    "    return fig   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3a8018ec-41d7-49c3-9ff5-c55bdfd904af",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='79b18223-6aff-4217-afb7-afee135207bf'>\n",
       "  <div id=\"ecfb8ae3-b23f-455c-b347-97eddd432efa\" data-root-id=\"79b18223-6aff-4217-afb7-afee135207bf\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"d3bb87eb-2b48-4dc7-90b6-8e528a7a4d4b\":{\"version\":\"3.2.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"79b18223-6aff-4217-afb7-afee135207bf\",\"attributes\":{\"name\":\"Row01053\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: 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.pn-loading.pn-arc:before {\\n  background-image: url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"5cc476f3-bb68-4b1a-8d8c-b9d15a8c6364\"},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"8215dbf9-dd8a-46b4-af9a-8618211d8358\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.2.1/dist/css/markdown.css\"}},{\"id\":\"1ff7397e-8044-48a2-a78f-9148e5b42889\"},{\"id\":\"57d22a0d-60ff-4804-9c40-12f309dddf3a\"}],\"margin\":[5,10],\"align\":\"start\",\"text\":\"&lt;p&gt;Buoy data&lt;/p&gt;\\n\"}},{\"type\":\"object\",\"name\":\"panel.models.markup.HTML\",\"id\":\"51059d00-5c6c-48e8-b47d-020e43e5cd39\",\"attributes\":{\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: 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576px;&quot;&gt;&lt;/img&gt;\"}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"fb16aa5d-66c8-4de4-b87c-fd024adf5280\",\"attributes\":{\"plot_id\":\"79b18223-6aff-4217-afb7-afee135207bf\",\"comm_id\":\"d7d0b232cc3e439c85c1ac7e5e0c15c4\",\"client_comm_id\":\"743f5dda7d6245fd9c7f7ee6f87d9656\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"d3bb87eb-2b48-4dc7-90b6-8e528a7a4d4b\",\"roots\":{\"79b18223-6aff-4217-afb7-afee135207bf\":\"ecfb8ae3-b23f-455c-b347-97eddd432efa\"},\"root_ids\":[\"79b18223-6aff-4217-afb7-afee135207bf\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t}\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "  function get_bokeh(root) {\n",
       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "Row\n",
       "    [0] Markdown(str)\n",
       "    [1] Matplotlib(Figure)"
      ]
     },
     "execution_count": 6,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "79b18223-6aff-4217-afb7-afee135207bf"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create an interactive xarray\n",
    "nwem_interactive = nwem_grid.interactive()\n",
    "\n",
    "# Create a date slider widget\n",
    "date_slider = pn.widgets.DateRangeSlider(name='Earliest Date', \n",
    "                                         start=datetime.datetime(2016,1,1), \n",
    "                                         end=datetime.datetime(2023,1,1), \n",
    "                                         value=(datetime.datetime(2017,1,1),\n",
    "                                                datetime.datetime(2020,1,1))).servable(target='sidebar')\n",
    "\n",
    "\n",
    "# Use a matplotlib panel pane to \n",
    "# plot the time range, using the interactive array\n",
    "# and the date slider\n",
    "mpl = pn.pane.Matplotlib(\n",
    "    pn.bind(plot_timerange, nwem_interactive, date_slider)\n",
    ")\n",
    "\n",
    "pn.Row(\n",
    "    'Buoy data', mpl\n",
    ").servable(target='main')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af36d029-ef27-4378-a8df-8194dc5e91ea",
   "metadata": {},
   "source": [
    "To test out the app, we can click the \"Preview with Panel\" button in the notebook ribbon at the top (it's next to the code/markdown dropdown menu)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.16"
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 },
 "nbformat": 4,
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