{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "98a25b2a-2556-4b63-a140-3e7bbbb80b1c",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "  var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
       "  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
       "  var reloading = false;\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/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/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/1.2.3/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/1.2.3/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-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.2.min.js\", \"https://cdn.holoviz.org/panel/1.2.3/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",
       "    },\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 = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n  var reloading = false;\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/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/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/1.2.3/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/1.2.3/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-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.2.min.js\", \"https://cdn.holoviz.org/panel/1.2.3/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"
    },
    {
     "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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       "      register_renderer(events, OutputArea);\n",
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       "  } catch(err) {\n",
       "  }\n",
       "}\n"
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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 = 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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": {
      "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"
    }
   ],
   "source": [
    "import holoviews as hv\n",
    "\n",
    "hv.extension(\"bokeh\", logo=False)\n",
    "hv.output(widget_location=\"bottom\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f245a59e-8392-442a-a459-96107a0ab974",
   "metadata": {},
   "source": [
    "# Interactive plots\n",
    "\n",
    "This notebook show how to use `Holoviews` based plotting methods to create interactive plots of the magnetisation or derived quantities. The interface is the same as in `discretisedfield.Field.hv`. For details on the different plotting methods refer to the documentation of `Holoviews` based plotting in `discretisedfield`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6d659f47-0b71-4d24-9569-1ab184a0d6b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import discretisedfield as df\n",
    "import discretisedfield.tools as dft\n",
    "import numpy as np\n",
    "\n",
    "import micromagneticdata as md"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03810fe1-104f-4992-a784-caf6ae78a567",
   "metadata": {},
   "source": [
    "We have a set of example simulations stored in the test directory of `micromagneticdata` that we use to demonstrate its functionality."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8d2278a8-60c2-4836-aa3d-fd5585c2d06d",
   "metadata": {},
   "outputs": [],
   "source": [
    "dirname = os.path.join(\"..\", \"micromagneticdata\", \"tests\", \"test_sample\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8fa2f81-4b23-4ad9-beaf-8f3d071c11fa",
   "metadata": {},
   "source": [
    "## Visualising computed magnetisation data\n",
    "First, we creata a `Data` object. We need to pass the name of the `micromagneticmodel.System` that we used to run the simulation and optionally an additional path to the base directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5af03d40-d939-4f9b-844d-11ad1228524e",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = md.Data(name=\"system_name\", dirname=dirname)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4021879-d04f-4043-bafb-f391a6c1aeee",
   "metadata": {},
   "source": [
    "The `Data` object contains all simulation runs of the `System`. These are called drives."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c9d42e40-d3f4-4b75-95dd-9f95aaafaba5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drive_number</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>driver</th>\n",
       "      <th>t</th>\n",
       "      <th>n</th>\n",
       "      <th>n_threads</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2023-11-07</td>\n",
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       "      <td>2.500000e-11</td>\n",
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       "      <td>09:47:24</td>\n",
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       "      <td>2023-11-07</td>\n",
       "      <td>09:47:24</td>\n",
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       "      <td>09:47:26</td>\n",
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       "   drive_number        date      time       driver             t      n  \\\n",
       "0             0  2023-11-07  09:47:23   TimeDriver  2.500000e-11   25.0   \n",
       "1             1  2023-11-07  09:47:24   TimeDriver  1.500000e-11   15.0   \n",
       "2             2  2023-11-07  09:47:24   TimeDriver  5.000000e-10  250.0   \n",
       "3             3  2023-11-07  09:47:25  RelaxDriver           NaN    NaN   \n",
       "4             4  2023-11-07  09:47:26    MinDriver           NaN    NaN   \n",
       "5             5  2023-11-07  09:47:26   TimeDriver  5.000000e-12    5.0   \n",
       "6             6  2023-11-07  09:47:26    MinDriver           NaN    NaN   \n",
       "\n",
       "   n_threads  \n",
       "0        NaN  \n",
       "1        NaN  \n",
       "2        NaN  \n",
       "3        NaN  \n",
       "4        NaN  \n",
       "5        NaN  \n",
       "6        NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c782acaf-05f6-4444-9d3b-0e59568619b6",
   "metadata": {},
   "source": [
    "### Time evolution of the magnetisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5f2f293f-ab94-4c59-bd9b-bdfcc3e96cfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_drive = data[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f3a8189-761d-4e82-ba12-11969462269a",
   "metadata": {},
   "source": [
    "We first create a plot for the averaged magnetisation components to better understand the behaviour of the system. We can see a precession of all three components of the averaged magnetisation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5c0d8a25-b1e6-4a62-a44e-24424b822291",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_drive.table.mpl(y=[\"mx\", \"my\", \"mz\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00209535-a3a9-4950-95cd-ac50571a59c3",
   "metadata": {},
   "source": [
    "We can use the `.hv` convenience method to create a plot similar to the plotting functionality in `discretisedfield`. We get an additional slider for the time variable.\n",
    "\n",
    "We manually set the colorlimit to (-Ms, Ms) and use a different colormap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2bd1b6dd-bc69-4d4c-bf0f-f30fec922fb6",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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       "  <div id=\"a30ea681-a96d-4f25-a419-f3a32655a674\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
       "</div>\n",
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<b>1e-12</b>\"}},{\"type\":\"object\",\"name\":\"Slider\",\"id\":\"p1089\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:value\",[{\"type\":\"object\",\"name\":\"CustomJS\",\"id\":\"p1102\",\"attributes\":{\"tags\":[[140503964940992,[null,\"value\"],[null,null]]],\"args\":{\"type\":\"map\",\"entries\":[[\"bidirectional\",false],[\"properties\",{\"type\":\"map\"}],[\"source\",{\"id\":\"p1089\"}],[\"target\",{\"id\":\"p1087\"}]]},\"code\":\"try { \\n    var labels = ['t: <b>1e-12</b>', 't: <b>2e-12</b>', 't: <b>3e-12</b>', 't: <b>4e-12</b>', 't: <b>5e-12</b>', 't: <b>6e-12</b>', 't: <b>7e-12</b>', 't: <b>8e-12</b>', 't: <b>9e-12</b>', 't: <b>1e-11</b>', 't: <b>1.1e-11</b>', 't: <b>1.2e-11</b>', 't: <b>1.3e-11</b>', 't: <b>1.4e-11</b>', 't: <b>1.5e-11</b>']\\n    target.text = labels[source.value]\\n     } catch(err) { console.log(err) }\"}}]]]},\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: 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url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 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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\":\"fd978d32-63c2-4efa-bc81-4ca6bab48a9f\",\"roots\":{\"p1002\":\"a30ea681-a96d-4f25-a419-f3a32655a674\"},\"root_ids\":[\"p1002\"]}];\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": [
       ":DynamicMap   [z,t]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [x,y]   (field)\n",
       "      .VectorField.I :VectorField   [x,y]   (angle,mag)"
      ]
     },
     "execution_count": 8,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1002"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive.hv(\n",
    "    kdims=[\"x\", \"y\"],\n",
    "    scalar_kw={\"clim\": (-800000, 800000), \"cmap\": \"coolwarm\"},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "051a1cbd-235d-43ef-b97f-d912c9c79cd2",
   "metadata": {},
   "source": [
    "We can see that the magnetisation direction per time-step is uniform throughout the sample."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6e420779-7541-4b9a-85ca-e9dda0e5dcf8",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1112\"},{\"id\":\"p1110\"},{\"id\":\"p1111\"}],\"width\":250,\"min_width\":250,\"margin\":[20,0,0,20],\"align\":\"start\",\"text\":\"x: <b>-4.75e-08</b>\"}},{\"type\":\"object\",\"name\":\"Slider\",\"id\":\"p1189\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:value\",[{\"type\":\"object\",\"name\":\"CustomJS\",\"id\":\"p1208\",\"attributes\":{\"tags\":[[140503964318592,[null,\"value\"],[null,null]]],\"args\":{\"type\":\"map\",\"entries\":[[\"bidirectional\",false],[\"properties\",{\"type\":\"map\"}],[\"source\",{\"id\":\"p1189\"}],[\"target\",{\"id\":\"p1187\"}]]},\"code\":\"try { \\n    var labels = ['x: <b>-4.75e-08</b>', 'x: <b>-4.25e-08</b>', 'x: <b>-3.75e-08</b>', 'x: <b>-3.25e-08</b>', 'x: <b>-2.75e-08</b>', 'x: <b>-2.25e-08</b>', 'x: <b>-1.75e-08</b>', 'x: <b>-1.25e-08</b>', 'x: <b>-7.5e-09</b>', 'x: <b>-2.5e-09</b>', 'x: <b>2.5e-09</b>', 'x: <b>7.5e-09</b>', 'x: <b>1.25e-08</b>', 'x: <b>1.75e-08</b>', 'x: <b>2.25e-08</b>', 'x: <b>2.75e-08</b>', 'x: <b>3.25e-08</b>', 'x: <b>3.75e-08</b>', 'x: <b>4.25e-08</b>', 'x: <b>4.75e-08</b>']\\n    target.text = labels[source.value]\\n     } catch(err) { console.log(err) }\"}}]]]},\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .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\":\"p1112\"},{\"id\":\"p1110\"},{\"id\":\"p1111\"}],\"width\":250,\"min_width\":250,\"margin\":[0,20,5,20],\"align\":\"start\",\"show_value\":false,\"tooltips\":false,\"start\":0,\"end\":19,\"value\":0}}]}},{\"type\":\"object\",\"name\":\"panel.models.layout.Column\",\"id\":\"p1192\",\"attributes\":{\"name\":\"Column01215\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .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\":\"p1112\"},{\"id\":\"p1191\"},{\"id\":\"p1110\"},{\"id\":\"p1111\"}],\"width\":290,\"min_width\":290,\"margin\":0,\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Div\",\"id\":\"p1194\",\"attributes\":{\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .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\":\"p1112\"},{\"id\":\"p1110\"},{\"id\":\"p1111\"}],\"width\":250,\"min_width\":250,\"margin\":[5,0,0,20],\"align\":\"start\",\"text\":\"t: <b>1e-12</b>\"}},{\"type\":\"object\",\"name\":\"Slider\",\"id\":\"p1196\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:value\",[{\"type\":\"object\",\"name\":\"CustomJS\",\"id\":\"p1209\",\"attributes\":{\"tags\":[[140503964310912,[null,\"value\"],[null,null]]],\"args\":{\"type\":\"map\",\"entries\":[[\"bidirectional\",false],[\"properties\",{\"type\":\"map\"}],[\"source\",{\"id\":\"p1196\"}],[\"target\",{\"id\":\"p1194\"}]]},\"code\":\"try { \\n    var labels = ['t: <b>1e-12</b>', 't: <b>2e-12</b>', 't: <b>3e-12</b>', 't: <b>4e-12</b>', 't: <b>5e-12</b>', 't: <b>6e-12</b>', 't: <b>7e-12</b>', 't: <b>8e-12</b>', 't: <b>9e-12</b>', 't: <b>1e-11</b>', 't: <b>1.1e-11</b>', 't: <b>1.2e-11</b>', 't: <b>1.3e-11</b>', 't: <b>1.4e-11</b>', 't: <b>1.5e-11</b>']\\n    target.text = labels[source.value]\\n     } catch(err) { console.log(err) }\"}}]]]},\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .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\":\"p1112\"},{\"id\":\"p1110\"},{\"id\":\"p1111\"}],\"width\":250,\"min_width\":250,\"margin\":[0,20,20,20],\"align\":\"start\",\"show_value\":false,\"tooltips\":false,\"start\":0,\"end\":14,\"value\":0}}]}}]}}]}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1205\",\"attributes\":{\"name\":\"HSpacer01228\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .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\":\"p1112\"},{\"id\":\"p1110\"},{\"id\":\"p1111\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1210\",\"attributes\":{\"plot_id\":\"p1109\",\"comm_id\":\"aadd43cdb5ea469e808f33e64a42628c\",\"client_comm_id\":\"50106558de654fd4b83cf01c78709fef\"}}],\"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\":\"c91f9c81-6693-4835-8e52-9f3191461724\",\"roots\":{\"p1109\":\"afe4a140-1f25-4456-ab2e-68ed299cddd5\"},\"root_ids\":[\"p1109\"]}];\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": [
       ":DynamicMap   [x,t]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [y,z]   (field)\n",
       "      .VectorField.I :VectorField   [y,z]   (angle,mag)"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1109"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive.hv(\n",
    "    kdims=[\"y\", \"z\"],\n",
    "    scalar_kw={\"clim\": (-800000, 800000), \"cmap\": \"cividis\"},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a774f3f0-1497-4177-9b0f-ab1055574581",
   "metadata": {},
   "source": [
    "Resampling can be done like in `discretisedfield` using a tuple (to only affect `kdims`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f94415b0-7200-4a10-b744-f82c62468336",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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400px));\\n}\",{\"id\":\"p1219\"},{\"id\":\"p1217\"},{\"id\":\"p1218\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1317\",\"attributes\":{\"plot_id\":\"p1216\",\"comm_id\":\"6c87c08ded4c46b9bef5507cb4ef5031\",\"client_comm_id\":\"279a81aab1804e6aaa2aded02a5fc047\"}}],\"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\":\"768813ee-cb60-4b81-822d-a2930265524f\",\"roots\":{\"p1216\":\"bcd8f1b1-585b-45c1-b8be-e7168b3148f9\"},\"root_ids\":[\"p1216\"]}];\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": [
       ":DynamicMap   [z,t]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [x,y]   (field)\n",
       "      .VectorField.I :VectorField   [x,y]   (angle,mag)"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1216"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive.hv(\n",
    "    kdims=[\"x\", \"y\"],\n",
    "    scalar_kw={\"clim\": (-800000, 800000), \"cmap\": \"coolwarm\"},\n",
    "    vector_kw={\"n\": (10, 6)},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c55616a3-3b95-462f-a74a-d6c3d69b6df3",
   "metadata": {},
   "source": [
    "### Combining multiple drives\n",
    "\n",
    "We can combine multiple consecutive time drives to get a single plot showing the whole simulation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "299218ff-9951-4ed7-b074-90faa96fcb29",
   "metadata": {},
   "outputs": [],
   "source": [
    "full_time_drive = data[0] << data[1] << data[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61641251-53a2-40a2-ba27-4f95af39315e",
   "metadata": {},
   "source": [
    "Again, we first show the scalar plot to better understand the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a970b8d2-5664-4c69-acea-76480356988b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "full_time_drive.table.mpl(y=[\"mx\", \"my\", \"mz\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93b9a917-eaa2-4365-b5a2-bed6fa56703c",
   "metadata": {},
   "source": [
    "Now, we can create an interactive plot. Note that the resulution of the time slider changes as we \"jump\" from the first two drives with fine resolution to the last one with a coarser resolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a415a9ff-f904-426a-a8a5-0756f497bcc3",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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       "  <div id=\"a448add5-107f-487c-b790-d84601c93252\" data-root-id=\"p1323\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
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      ],
      "text/plain": [
       ":DynamicMap   [z,t]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [x,y]   (field)\n",
       "      .VectorField.I :VectorField   [x,y]   (angle,mag)"
      ]
     },
     "execution_count": 13,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1323"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_time_drive.hv(\n",
    "    kdims=[\"x\", \"y\"],\n",
    "    scalar_kw={\"clim\": (-800000, 800000), \"cmap\": \"coolwarm\"},\n",
    "    vector_kw={\"n\": (10, 5)},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a8021cb-3ab5-4dac-8cc3-78de758a562d",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Computing derived quantities\n",
    "\n",
    "In this section we look at a different example simulation, the dynamics of a magnetic vortex. We demonstrate how to compute derived quantities based on a series of magnetisation samples from the time drive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "180ea6e6-e1bd-4035-a55e-1a495e83f8f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = md.Data(name=\"vortex_dynamics\", dirname=dirname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3f090ec0-49c3-4db6-bc26-dbb391503d4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drive_number</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>driver</th>\n",
       "      <th>n_threads</th>\n",
       "      <th>t</th>\n",
       "      <th>n</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2023-11-07</td>\n",
       "      <td>09:47:26</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-07</td>\n",
       "      <td>09:47:27</td>\n",
       "      <td>MinDriver</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2023-11-07</td>\n",
       "      <td>09:47:27</td>\n",
       "      <td>TimeDriver</td>\n",
       "      <td>None</td>\n",
       "      <td>5.000000e-09</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   drive_number        date      time      driver n_threads             t  \\\n",
       "0             0  2023-11-07  09:47:26   MinDriver      None           NaN   \n",
       "1             1  2023-11-07  09:47:27   MinDriver      None           NaN   \n",
       "2             2  2023-11-07  09:47:27  TimeDriver      None  5.000000e-09   \n",
       "\n",
       "       n  \n",
       "0    NaN  \n",
       "1    NaN  \n",
       "2  250.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f2f6d40-92e6-494d-a705-c64666439370",
   "metadata": {},
   "source": [
    "### Time evolution of the magnetisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bdabdecf-50f0-452a-920b-23f4ded01ed5",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_drive = data[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c6b143c-36e2-4d13-8921-a7b414674cb4",
   "metadata": {},
   "source": [
    "We first create a plot for the averaged magnetisation components to better understand the behaviour of the system. We can see a damped precession in x and y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b22b8965-ce34-4d1c-abdf-fc8580b876c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_drive.table.mpl(y=[\"mx\", \"my\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59ea6932-aa7a-4d90-9eb4-790cec94f58f",
   "metadata": {},
   "source": [
    "We can also create an interactive plot for the full magnetisation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0400c808-a508-4314-85f4-125e78bd1aea",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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IBsrXfBYPtjmo9meZ1g+IxwMSMfQVz4Q6QlpOUJXPkoKTXUXy1Y+WaIeQcluVj73FW4DpitWPtZg+TJqAVY+/Yzq9u4NYD4iPvi+YQlgPrig4zZKAmA+qJhBCNDxXz73ca6FkNpfPlaEmvDNvl8+43QIiD6eXz4n7HoQK3hfPiWT9X9AS18+H/M3NH4VXz4kX5mdPtRePh6SrmyvhF4+yGp0CuMkXj6oVtfbRLZdPjCCgNeOP10+VS8Ex7rLXD6VZhA5cWNcPnY4tsMRC1w+mte36LbEWz59uZ+m2pRbPqLK77rPtmI+BF8M3yWwYj46tmnRAaZiPp6PTfsSmWI+0pIXR8yJYj5763qAenhiPsUaV+k+ZWI+UCDIfPZPYj6VFhmJNjhiPhzuAqRTHWI+BZeW8X7+YT7vSuNG9dphPtnqoSVnsmE+voBbmXOFYT73xQAuDVZhPhvsAJ7sJmE+kJsW1ID6YD7vHj9xadJgPqyjSv4usGA+CIAe1z2XYD6clSGN7V1lPoCWHMuOVGU+6Eo2pcRGZT4LNsPeDDZlPlvz8dRYI2U+N/kJiU4PZT4s3W5jN/pkPh9ZEWQL5GQ+feko9HXMZD6KqkeZ9rJkPh/sKeH8lmQ+7ypbDBV4ZD7qu0TOHFZkPlrygbGHMWQ+s3XAwGoLZD5vhgSQOuVjPsb3mPpFwGM+VF1tOKGdYz4w1h4QlH5jPowYvSmpZmM+LHk623ADaD56riTarfZnPlt4zpvw5Gc+khgMJLDQZz6kuVGNV7tnPg+Q1bmopWc+XBwL7u2PZz5/d5M/C3pnPhjjff+mY2c+29K+UElMZz55qgvsfjNnPkPuuXnxGGc+wZndfov8Zj6OuMTAk95mPqgJvvyxv2Y+tEK7LrqgZj7Ca4VNfoJmPgpCyMnCZWY+wZ82ApxLZj5udCWG6jZmPkq0uY7/qGo+tmzl7Z6Yaj6+viFVlINqPrlIG/nnbGo+Zl3uhCBWaj65KS8n8T9qPv0Q3gp6Kmo+zsUjE4EVaj7ac9yrmQBqPiuR51hN62k+N0cI4TLVaT4lSJNTAb5pPnUrJC2ipWk+ozO+0kOMaT5YuhROVXJpPn374SVpWGk+k/gQKB8/aT5FTqhaRCdpPmraLQ8tEmk+TQwZ6asCaT4bemCwsFdovgJUjJsQaGi+5tT+9hl9aL576Y7HxJNoviMm+JqKqmi+8O+ZGLjAaL45l4JhLdZovlOK0IEk62i+WJieDAsAab7m92FPVxVpvk+6GlJzK2m+DTZtSadCab40WUgNCltpvjC9F/9sdGm+cJSuNmCOab4sXCHEUKhpvou/D2+dwWm+Bfh2wXnZab4C6d10ke5pvuoZ9jwT/mm+D/rKt9ueZb7yMsTbnatlvuzGY6RZvWW+5ikpSpjRZb4WmeaN7uZlvgfcRPya/GW+uFGm01ISZr7hCTRrMyhmvmo4SrmVPma+pa0xc/NVZr7GR7E0vm5mvkPLkwNOiWa+UrlybrilZr4rvA+UtsNmvtjx2w2h4ma+vzEV5Z4BZ75zAbgX3x9nvmRL+kCbPGe+Y3OvC8JWZ76YP3RTc2tnvromOTr75WK+5spYBVnvYr4yeIB+If1ivqNgRfLWDWO+YpJbMYggY76Vyay/jjRjvkpRQ3uiSWO+HNEctMpfY75n1Yn4XXdjvnJPRHjakGO+skEreNKsY77T2r0qustjvrPZxsK27WO+8Y333FkSZL6HYwzrhThkvg15eujEXmS+a2AZXb2DZL6ZxBOrYaZkvqJuVIxqxWS+UTHa9lLdZL6NhChbtS5gvoKbcSNeNWC+nGCSXYA/YL4yHnSYbExgvowUEZqvW2C+BVzEQv1sYL4rinXJM4BgvurMYd13lWC+XnHHlTGtYL59EBOtDMhgvsT7YoTW5mC+821OKlcKYb7eDgcZ7TJhvqBKx4T4X2G+8Zhb2YqPYb6oi46Lxb5hvvECg/0662G+gTAedUcTYr7bjVGZdDViviYo+AhcTmK+gFZJFWXyWr4AqXRjfftaviyUkJSoCVu+yx5dH2ccW761XWT6njNbvpkVNDpXT1u+JmQjy9tvW75JCTkK35VbvtpEwOqwwlu+l9A5tEX4W75eXjAyQzlcvjacqhGeiFy+6Bf6mGjoXL60HG4Hj1ddvpkmm3P+zl2+KjsH32dDXr5bNoe6uKtevob1GEHgA1++3m6PkO5JX74f4yBXnXlfvlgqF8NvilW+Z9V0aU2QVb4sv2ZqlZlVvgvaMVw4plW+Kpvmanq2Vb4yBRD6zcpVvvoJW+rl41W+Jj2kOusCVr5u1NuItClWviHCi6QjW1a+WBFUdG+bVr7vV3RGLPBWvvEbFub8Xle+hMHxk7LoV77GJDJHi4FYvh+q5Tk1EVm+/Yut5V2IWb7HYwN1BuRZvmVGbdmJJlq+IeuQ7WZQWr4UMr5vACVQvkAl6JhzKFC+XDm7kfktUL5fU0wWqDVQvis8+DzYP1C+6Mfi+RNNUL5mlbcTL15Qvur+c+x1dFC+vtX4iw6SUL6hct8shrpQvtugaGDT81C+rZTB/3dHUb5wOzCdg8JRvuPESDdyblK+tWzOJ1U5U77WOJEnbexTvsXiFWAUb1S+U3el8SnHVL538/y3DgBVvv+yXBXeIFW+xPIER1GDRb5kpfuWxIZFvm5iFE1XjEW+fk8qYDaURb7lsqXG5J5FvkIDxPsxrUW+widWcmHARb4MWX4IjNpFvkQhpw5Q/0W+znvttXI1Rr4RraiAAIpGvnHmZy1/F0e+GIgHC+kQSL4RBDdY0rxJvibX2etW/Eu+uc3185W9Tb74dDl0FcZOvhl8tnBRWE++4Qe5C96pT74izBDoZdRPvm3Euld0gDW+KrdxFeiCNb5O4cRH44Y1vjDA+y6SjDW+2TrGF2eUNb5qXeDnGp81vmLAla/ZrTW+OA++/5vCNb514sd1H+E1vjb+1/D9EDa+/qqHo5BkNr5hF4Yvgw03vqGsynkGoTi+qT6u3gmWPL7RfpUOn8BBvj39ZDdz5UO+6AmZtTXBRL5fxe4PhRlFvhe28tBnQUW+ypCRaQJURb4A8NzgTjJovQA4pfZ2Z3C9AMhkS+tqd70ASPk/VLyAvQDoud2jtoe9AKBRaaCqkL0AVvtm4lCXvQAQU7JLV6C9AFKcqnMmp70ARKFvRRyxvQBEuUOW6by9oL6CGT6W0b2A6JNRJ1PxvYMyDow5WBS+RDd5qkoQL75hEkJpIS40vpLWyP1BLDW+bg/CnXFfNb5jmx2Tl2w1vvvtSJQpcTW+RoZRW8p4NT4nDYQhhHg1PppQeHMReDU+QsuOsWx3NT4ABnhBh3Y1PpMYrNpHdTU+hLEzSYFzNT4+x/7I2XA1PhYxuTKdbDU+MI9iWQBlNT7eCX0yM1Q1PsEhSmrlHjU+bHTrlZw3ND5WhwW5XSowPp5i0SBldhg+CL9WXBRp9z3gbqqHgkLYPUDy/lZN/cA9APirmH/6rz0AXCRNilujPdTr4NEXdkU+wTPrCtx0RT60z3He2nJFPrG/09L9b0U+BYHv3wpsRT7YXXGioWZFPkqTusIeX0U+3+QvzF1URT4SIoy4J0RFPp6enyH/KUU+BdC4HnD7RD4qNYmq951EPg/I8hPWx0M+iGqmLPHQQT4JYQIc9xQ9PhzBU/st2zg+hfh3UEYMNz72YLCClEk2PvKDy0WL8DU+KhSX9JrHNT6JI1KGRhZQPoGwGF6LFFA+n5UhRr8RUD7cfjd9yw1QPiS5puxtCFA+8O8PeD0BUD5GRNxqIe9PPu2oGNWP1E8+7Wg5R8+uTz5wO5yTjHZPPgQRbsQYHk8+iS7IBq+KTj5Ft+fcd4xNPq0srJyG5ks+NEgEujG9ST6P1zBcuQNIPvoowuDl9kY+Q0Xc6bxeRj78e9ozUwlGPnQVGpAB3UU+xm5dF7VvVT5m3YsTQGxVPtH7JKu2ZlU+OT/XzQJfVT7TTIFQy1RVPmsbTJOER1U+gHWRqFc2VT57p+wv6B9VPqMLnO/zAVU+wEljVMTYVD7sr8R+Q55UPma0HbU6SVQ+o82yeHjNUz57+dOjoSNTPnOpw7RSXVI+Ybd+caisUT7b9udccylRPitMntHwz1A+gZ2VwtWVUD4VqZ9/ZXRQPsAqDGYMx1o+/HUIoizBWj5sCnTW4LdaPuaHEjE4q1o+5iGV1u2aWj61d+E8kIZaPiuAuRlpbVo+s24/+0pOWj6MTRc9TCdaPkowVtF39Vk+p18u8Ja0WT6thcVfN19ZPu0gGytd8Fg+2Oaj2Z5nWD4jHAxIx9BXPhDpCWk5Qlc+SgpNdRfLVj5Zoh5ByW5WPvcVbgOmK1Y+1mD5MmoBVj79jOr27g1gPiI++L5hCWA+uKDjNkoCYD6omEEI0PFfPvdxroWQ2l8+VoSa8M2+Xz7jdAiIPp5fPifsehAreF8+JZP1f0BLXz4f8zc0fhVfPiRfmZ0+1F4+HpKubK+EXj7IanQK4yRePqhW19tEtl0+MIKA144/XT5VLwTHustcPpVmEDlxY1w+dji2wxELXD6a17fotsRbPn25n6balFs+osrvus+2Yj4EXwzfJbBiPjq2adEBpmI+no9N+xKZYj7SkhdHzIliPnvreoB6eGI+xRpX6T5lYj5QIMh89k9iPpUWGYk2OGI+HO4CpFMdYj4Fl5bxfv5hPu9K40b12mE+2eqhJWeyYT6+gFuZc4VhPvfFAC4NVmE+G+wAnuwmYT6QmxbUgPpgPu8eP3Fp0mA+rKNK/i6wYD4IgB7XPZdgPpyVIY3tXWU+gJYcy45UZT7oSjalxEZlPgs2w94MNmU+W/Px1FgjZT43+QmJTg9lPizdbmM3+mQ+H1kRZAvkZD596Sj0dcxkPoqqR5n2smQ+H+wp4fyWZD7vKlsMFXhkPuq7RM4cVmQ+WvKBsYcxZD6zdcDAagtkPm+GBJA65WM+xveY+kXAYz5UXW04oZ1jPjDWHhCUfmM+jBi9KalmYz4seTrbcANoPnquJNqt9mc+W3jOm/DkZz6SGAwksNBnPqS5UY1Xu2c+D5DVuailZz5cHAvu7Y9nPn93kz8Lemc+GON9/6ZjZz7b0r5QSUxnPnmqC+x+M2c+Q+65efEYZz7Bmd1+i/xmPo64xMCT3mY+qAm+/LG/Zj60QrsuuqBmPsJrhU1+gmY+CkLIycJlZj7BnzYCnEtmPm50JYbqNmY+SrS5jv+oaj62bOXtnphqPr6+IVWUg2o+uUgb+edsaj5mXe6EIFZqPrkpLyfxP2o+/RDeCnoqaj7OxSMTgRVqPtpz3KuZAGo+K5HnWE3raT43RwjhMtVpPiVIk1MBvmk+dSskLaKlaT6jM77SQ4xpPli6FE5Vcmk+ffvhJWlYaT6T+BAoHz9pPkVOqFpEJ2k+atotDy0SaT5NDBnpqwJpPht6YLCwV2i+AlSMmxBoaL7m1P72GX1ovnvpjsfEk2i+Iyb4moqqaL7w75kYuMBovjmXgmEt1mi+U4rQgSTraL5YmJ4MCwBpvub3YU9XFWm+T7oaUnMrab4NNm1Jp0JpvjRZSA0KW2m+ML0X/2x0ab5wlK42YI5pvixcIcRQqGm+i78Pb53Bab4F+HbBedlpvgLp3XSR7mm+6hn2PBP+ab4P+sq3255lvvIyxNudq2W+7MZjpFm9Zb7mKSlKmNFlvhaZ5o3u5mW+B9xE/Jr8Zb64UabTUhJmvuEJNGszKGa+ajhKuZU+Zr6lrTFz81VmvsZHsTS+bma+Q8uTA06JZr5SuXJuuKVmviu8D5S2w2a+2PHbDaHiZr6/MRXlngFnvnMBuBffH2e+ZEv6QJs8Z75jc68LwlZnvpg/dFNza2e+uiY5OvvlYr7mylgFWe9ivjJ4gH4h/WK+o2BF8tYNY75iklsxiCBjvpXJrL+ONGO+SlFDe6JJY74c0Ry0yl9jvmfVifhdd2O+ck9EeNqQY76yQSt40qxjvtPavSq6y2O+s9nGwrbtY77xjffcWRJkvodjDOuFOGS+DXl66MReZL5rYBldvYNkvpnEE6thpmS+om5UjGrFZL5RMdr2Ut1kvo2EKFu1LmC+gptxI141YL6cYJJdgD9gvjIedJhsTGC+jBQRmq9bYL4FXMRC/WxgviuKdckzgGC+6sxh3XeVYL5ecceVMa1gvn0QE60MyGC+xPtihNbmYL7zbU4qVwphvt4OBxntMmG+oErHhPhfYb7xmFvZio9hvqiLjovFvmG+8QKD/TrrYb6BMB51RxNivtuNUZl0NWK+Jij4CFxOYr6AVkkVZfJavgCpdGN9+1q+LJSQlKgJW77LHl0fZxxbvrVdZPqeM1u+mRU0OldPW74mZCPL229bvkkJOQrflVu+2kTA6rDCW76X0Dm0Rfhbvl5eMDJDOVy+NpyqEZ6IXL7oF/qYaOhcvrQcbgePV12+mSabc/7OXb4qOwffZ0Nevls2h7q4q16+hvUYQeADX77ebo+Q7klfvh/jIFedeV++WCoXw2+KVb5n1XRpTZBVviy/ZmqVmVW+C9oxXDimVb4qm+ZqerZVvjIFEPrNylW++glb6uXjVb4mPaQ66wJWvm7U24i0KVa+IcKLpCNbVr5YEVR0b5tWvu9XdEYs8Fa+8RsW5vxeV76EwfGTsuhXvsYkMkeLgVi+H6rlOTURWb79i63lXYhZvsdjA3UG5Fm+ZUZt2YkmWr4h65DtZlBavhQyvm8AJVC+QCXomHMoUL5cObuR+S1Qvl9TTBaoNVC+Kzz4PNg/UL7ox+L5E01QvmaVtxMvXlC+6v5z7HV0UL6+1fiLDpJQvqFy3yyGulC+26BoYNPzUL6tlMH/d0dRvnA7MJ2DwlG+48RIN3JuUr61bM4nVTlTvtY4kSdt7FO+xeIVYBRvVL5Td6XxKcdUvnfz/LcOAFW+/7JcFd4gVb7E8gRHUYNFvmSl+5bEhkW+bmIUTVeMRb5+TypgNpRFvuWypcbknkW+QgPE+zGtRb7CJ1ZyYcBFvgxZfgiM2kW+RCGnDlD/Rb7Oe+21cjVGvhGtqIAAika+ceZnLX8XR74YiAcL6RBIvhEEN1jSvEm+JtfZ61b8S765zfXzlb1Nvvh0OXQVxk6+GXy2cFFYT77hB7kL3qlPviLMEOhl1E++bcS6V3SANb4qt3EV6II1vk7hxEfjhjW+MMD7LpKMNb7ZOsYXZ5Q1vmpd4OcanzW+YsCVr9mtNb44D77/m8I1vnXix3Uf4TW+Nv7X8P0QNr7+qoejkGQ2vmEXhi+DDTe+oazKeQahOL6pPq7eCZY8vtF+lQ6fwEG+Pf1kN3PlQ77oCZm1NcFEvl/F7g+FGUW+F7by0GdBRb7KkJFpAlRFvgDw3OBOMmi9ADil9nZncL0AyGRL62p3vQBI+T9UvIC9AOi53aO2h70AoFFpoKqQvQBW+2biUJe9ABBTsktXoL0AUpyqcyanvQBEoW9FHLG9AES5Q5bpvL2gvoIZPpbRvYDok1EnU/G9gzIOjDlYFL5EN3mqShAvvmESQmkhLjS+ktbI/UEsNb5uD8KdcV81vmObHZOXbDW+++1IlClxNb5GhlFbyng1PicNhCGEeDU+mlB4cxF4NT5Cy46xbHc1PgAGeEGHdjU+kxis2kd1NT6EsTNJgXM1Pj7H/sjZcDU+FjG5Mp1sNT4wj2JZAGU1Pt4JfTIzVDU+wSFKauUeNT5sdOuVnDc0PlaHBbldKjA+nmLRIGV2GD4Iv1ZcFGn3PeBuqoeCQtg9QPL+Vk39wD0A+KuYf/qvPQBcJE2KW6M91Ovg0Rd2RT7BM+sK3HRFPrTPcd7ackU+sb/T0v1vRT4Fge/fCmxFPthdcaKhZkU+SpO6wh5fRT7f5C/MXVRFPhIijLgnREU+np6fIf8pRT4F0LgecPtEPio1iar3nUQ+D8jyE9bHQz6IaqYs8dBBPglhAhz3FD0+HMFT+y3bOD6F+HdQRgw3PvZgsIKUSTY+8oPLRYvwNT4qFJf0msc1PokjUoZGFlA+gbAYXosUUD6flSFGvxFQPtx+N33LDVA+JLmm7G0IUD7w7w94PQFQPkZE3Goh708+7agY1Y/UTz7taDlHz65PPnA7nJOMdk8+BBFuxBgeTz6JLsgGr4pOPkW359x3jE0+rSysnIbmSz40SAS6Mb1JPo/XMFy5A0g++ijC4OX2Rj5DRdzpvF5GPvx72jNTCUY+dBUakAHdRT7Gbl0XtW9VPmbdixNAbFU+0fskq7ZmVT45P9fNAl9VPtNMgVDLVFU+axtMk4RHVT6AdZGoVzZVPnun7C/oH1U+owuc7/MBVT7ASWNUxNhUPuyvxH5DnlQ+ZrQdtTpJVD6jzbJ4eM1TPnv506OhI1M+c6nDtFJdUj5ht35xqKxRPtv251xzKVE+K0ye0fDPUD6BnZXC1ZVQPhWpn39ldFA+wCoMZgzHWj78dQiiLMFaPmwKdNbgt1o+5ocSMTirWj7mIZXW7ZpaPrV34TyQhlo+K4C5GWltWj6zbj/7Sk5aPoxNFz1MJ1o+SjBW0Xf1WT6nXy7wlrRZPq2FxV83X1k+7SAbK13wWD7Y5qPZnmdYPiMcDEjH0Fc+EOkJaTlCVz5KCk11F8tWPlmiHkHJblY+9xVuA6YrVj7WYPkyagFWPv2M6vbuDWA+Ij74vmEJYD64oOM2SgJgPqiYQQjQ8V8+93GuhZDaXz5WhJrwzb5fPuN0CIg+nl8+J+x6ECt4Xz4lk/V/QEtfPh/zNzR+FV8+JF+ZnT7UXj4ekq5sr4RePshqdArjJF4+qFbX20S2XT4wgoDXjj9dPlUvBMe6y1w+lWYQOXFjXD52OLbDEQtcPprXt+i2xFs+fbmfptqUWz6iyu+6z7ZiPgRfDN8lsGI+OrZp0QGmYj6ej037EpliPtKSF0fMiWI+e+t6gHp4Yj7FGlfpPmViPlAgyHz2T2I+lRYZiTY4Yj4c7gKkUx1iPgWXlvF+/mE+70rjRvXaYT7Z6qElZ7JhPr6AW5lzhWE+98UALg1WYT4b7ACe7CZhPpCbFtSA+mA+7x4/cWnSYD6so0r+LrBgPgiAHtc9l2A+nJUhje1dZT6AlhzLjlRlPuhKNqXERmU+CzbD3gw2ZT5b8/HUWCNlPjf5CYlOD2U+LN1uYzf6ZD4fWRFkC+RkPn3pKPR1zGQ+iqpHmfayZD4f7Cnh/JZkPu8qWwwVeGQ+6rtEzhxWZD5a8oGxhzFkPrN1wMBqC2Q+b4YEkDrlYz7G95j6RcBjPlRdbTihnWM+MNYeEJR+Yz6MGL0pqWZjPix5OttwA2g+eq4k2q32Zz5beM6b8ORnPpIYDCSw0Gc+pLlRjVe7Zz4PkNW5qKVnPlwcC+7tj2c+f3eTPwt6Zz4Y433/pmNnPtvSvlBJTGc+eaoL7H4zZz5D7rl58RhnPsGZ3X6L/GY+jrjEwJPeZj6oCb78sb9mPrRCuy66oGY+wmuFTX6CZj4KQsjJwmVmPsGfNgKcS2Y+bnQlhuo2Zj5KtLmO/6hqPrZs5e2emGo+vr4hVZSDaj65SBv552xqPmZd7oQgVmo+uSkvJ/E/aj79EN4KeipqPs7FIxOBFWo+2nPcq5kAaj4rkedYTetpPjdHCOEy1Wk+JUiTUwG+aT51KyQtoqVpPqMzvtJDjGk+WLoUTlVyaT59++ElaVhpPpP4ECgfP2k+RU6oWkQnaT5q2i0PLRJpPk0MGemrAmk+\"},\"shape\":[1200],\"dtype\":\"float64\",\"order\":\"little\"}],[\"x1\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[1200],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y0\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"ukOs+4ctar5EbSF0w5dnvtPNRW1YA2W+gkaCJtdrYr7GQSW75KBfvj0EQkL2Ylq+7yS+1C0fVb5k/pwtpK1Pvv51i93NFUW+5IhuZzbwNL4AZfZijXbVPQoU3e/WpjU+bsAhp/uBRT5v5BTLuhtQPhE5XWdHelU+oe5I18TcWj5KlpHUgyFgPhbBHfU91mI+hOASr+KLZT6ggSUE1EBoPobCw9/pG2q+BMY1OqODZ74Fh9DcyO5kvpAr9pxZWGK+zKX/icN9X75EBZm9hURavvgkCTGqBVW+5+BcL2KET75LkKYJ7vVEvhinobsswjS+gFmkvUXv3D1zHYWY5bY1PsR7RCjdhEU+ZkPWbtUbUD5Y+uNVlnpVPm1AXkf33lo+Mu79QGQkYD5AQSuutNtiPlNnXUfAlGU+z7ildJFNaD70IMM7OAdqvoMREIolbGe+5gmK3aLVZL79uVFILz9ivho49B0lTl++AokZJWQZWr6wdXkdHeBUvmZqnLuLRU++1T9VuubDRL6eTCAj1Xc0vrDa9sFZp+Q9pFNrLxbSNT7Mz4MK0YlFPur1VVcEHFA+jBGCli57VT64Hj8h8eJaPhuB7yR1KWA+h7ZlFgLlYj6ownmKEaNlPkBuvKyHYGg+esaD7H7yab5cq3NasFRnvl3Hx/etu2S+qEgnCfgjYr5NchAe4hdfvtr9tKm85Vm+4alm7e+wVL6nopQ1CvNOvvRCBYJXf0S+pgD9V7kNNL5QYg/NvdntPfhQ9+Qg/DU+cpRlXcaRRT55eXTzWBxQPrkIZ04gfFU+HgU31CDpWj7kNaKxDzFgPoNDA+dB8mI+Ab0J8Sm2ZT7K3rZLQHhoPsVaJWOz3mm+XAf6kS0+Z76jj2WkOKJkvncvJd02CGK+kJGcnvPdXr4xyU8kuqtZvnG5XhcueVS+X4ZL40qMTr4XsMOgXyVEvpajxHOiejO+2Oo8ti+s9T2sTsQfoT02PpSMZJkRn0U+UodVqAQdUD7BcIcuiX1VPmHg0Chw8lo+bUmumfU7YD4pODCIAwRjPoBIDFvtzWU+Y0F0KvmTaD4f9r6M/stpvspcNmXJKGe+u0KcSpiJZL4YeK9+k+xhvjHiHv3toV6+cEAEZ8tsWb5F/Ay9eTlUvtNWkdUqEE6++JV3/cyxQ76Eve5Km7AyvgCk7sqtqP89Rj9X1CSnNj4kKWy0u7ZFPnR6s66XHlA+6jJgt8l/VT5aZxU/1gBbPskY3kSwS2A+UMPmNoIbYz5oxGpx2OplPsCTQHyTs2g+vFuwND26ab7XK8cWXBRnvn52mK/EcWS+RNSa5zbRYb4X3TCFlGRevqitrcjKKVm+kKt2vknyU77ndheNSn1Nvtn6/0a0H0O+P+hTv3mcMb7MTWUMS1EHPjR/Vi8wWDc+wBfkz73kRT66ziHpBCNQPsRM+j9thFU+0IhDM2MZWz5wjBnzZmNgPvN5DRsrO2M+6WUUYC4OZj6OZbFtnNdoPnvPfL40qWm+BZ7YvakAZ74JgXw9jlpkvt+2Y9cWtmG+Xu3mrzAmXr4DMB/9TuNYvjjavDMSpFO+pwXg1ADTTL6A0BPieGpCvmrGqPqnJzC+m2d6wrtNET5aUIWZXI04PtLyTNIrSEY+CXJ9Dy0zUD5BiPNqkJNVPjd6308rSls+FpCVYsKJYD4NmE+KFGdjPh6d7nD7OWY+SfzP2hIBaT761Rhdqphpvs5KTip27Wa+lYquHsBDZL43GYf5GZthvnJDJdXu5l2+HuMYxu6ZWL6LJyj9wE9TvlQaD62qEky+ccqpIM+QQb6mh7dTyH8svq/MSi7Vohk+CnOWvFexOj6Uz/H4CzZHPor1X5Vwe1A+CMTDII3YVT7qjmUOrrxbPsnwks4wy2A+EpQukeCkYz4TABOlPnBmPnAJsCq5MGk+30jnl2iIab4O8gn0idpmvs/PU/crLWS+lL/jJyuAYb5qHbEoDKddvlqtjhaTTli+xENU3xb3Ur4qF/ku1UFLvv1NS08mmUC+KOXLhgTbJ75bNpMkGYAiPjIMdQJhOj4+WExng5VjST7mDe0Pv7FRPnrgwmMPDVc+LzLmFn3OXD5fu9Nk4DZhPhqEs4Z092M+Ip+kcsWwZj4hijHJz2VpPs2c+kc+eGm+V5LZSbXHZr51HDDcqRZkvijh39M/ZWG+xDKR5u9mXb7MvomKgAJYvunAYCLhnFK+WW3OGNdqSr6x/iYIDCw/vm5u4skc2yK+9smJYBXtKD497BGJQlNBPvuadv6ztUw+89m7Eaw3VD76NVdz1JtZPgPmeLeZd14+9rDTZi2+YT7i4dCtplRkPuybn3Cm9WY+LqZjKBCdaT7tkj3n/GdpvsQUu7bJtGa+PypDkxYAZL6woedMUkphvtIZvvgRJ12+z+ipAi+3V75I7vMbVERSvmQT5Ciemkm+LxX8M+s/Pb5gSVBMqYwcvsIIiUupdC4+F4oPVnT/Qj76LkJ0WahOPsmLDowVMlU+jNeN2i2SWj7NG14+FmpfPniK/+ZxI2I+6OCVAKykZD7G6thZHzVnPiwiy2el0Wk+A7HaU3NXab7h2jwyl6FmvufBAiBK6WO+BvBY61cvYb7FToNQ1+dcvlox0C/fbVe+2BsT6yrwUb6+GZ+VH9tIvjIJu52vkDu+7BvOU1gSFb7d5BDwODwxPrgj0jIs/0M+oTfkrmN4Tz5a5fIQGGhVPoiozCOcxFo+8PhGggTNXz5hEsxBDGBiPuZQlM/q32Q+AD4JoyRqZz64+zBDpABqPibiUOFrRmm+GVRBaeaNZr4kHlvqFdJjvnVxONk6FGG+RRBkKX2pXL6sQBZncidXvpBrNIwYolG+7ohqdIgxSL6Mo7FweCk6vnKT3trcsw6+zmSqJomZMj4jUt44cZBEPmuSI/fb0E8+wEaDT45zVT6PG3GEAM9aPoKAa8gL+F8+Z+YUs+eDYj4JxyUcMwplPp7sTzkGlWc+GVqZOJQpaj4BMiTOqzRpvox6Lsx6eWa+64YO1ES6Y76OhMwG4vhgvsZMjJ0sbFy+x/LlyoDkVr7sDuFRAVtRvkHRzoQcn0e+oroekDsHOb46uRgHmTAGvsZAq0D/gjM+cuQ8DgjlRD7m5wwM7/pPPiyBo6WldlU+frNN/UXSWj5zT34nPQdgPimyVmOEmmI+IsSV+f4oZT71363r1bdnPm1Ze25OTWo+N6dWS/ghab538r6KGGRmvi3UdiynoWO+CeDTL0LdYL5ek8JfMTBcvpNEo4idpVa+kjcew18bUb5GicqPOSNHvv9o9RQPITi+kG7WTeHc/70SWj2iMSA0PveMNiMzGEU++GCnWKYIUD7IvFYnzHdVPuj5T5wT1Fo+WDsCUxIOYD5mg/DSyKliPo7WMm4cQGU+dPL1roHUZz5qw9xzxmxqPmoJWkUuDmm+vP8GnJdNZr5CFrVzNIhjvuaZZ8CEwWC+b6k8m0v2W774wZ32pmtWvnv+llCq41C+mP1EHJ+8Rr71Z6AXi203vkjAF1aYtva92HwEuSaLND7wwitnbThFPhe4XjsUD1A+mEd21Vl4VT7ZCRLAW9VaPvWuHA6ZEmA+GH5rsIW0Yj7TThY+t1FlPqAgIqIt7Gc+eMnLpnOIaj58WJSDdvlovsyn2WUkNma+KT+5CkJuY75AljOdUKZgvuWgxFURwFu+QFvrxAg4Vr4I7ASOiLRQvmzJMRQzaka+pKVMcqPkNr5YtyUy9RjwvZTLbkNo1DQ+NB+adUhNRT6g/HrtARNQPgFqDRmoeFU+6yBF7UXWWj6MxomWqBVgPu7SSp8SvGI+xgaB5upeZT5ndaOtPf9nPuQTfK0ooGo+0HQWesbkaL6WmcWHqB5mvmHJnz0eVWO+rifrHCmNYL7CnKVUeZBbvpnjW4PvDFa+WMwqoAOPUL7VGnBdbitGvvChi/CxgDa+0DQ0z7jq5r0wG4rLywU1PgHpi9DWWkU+587ldXkVUD6oiya113hVPidmz3je1lo+NziEqKMXYD4tc5NRIMFiPuq80TU0aGU+mPhe2osNaD5/yql2HLNqPgazjpsp02i+zayhuokKZr6YUVtZkEBjvsLMVniteWC+k/pM71xtW76lGHwphO5Vvnp0sQCGdVC+vyiYRzcCRr5q1955B0E2vqBGl+h2K+G9wrn1NqIjNT6itPyk2mJFPqLsrvPpFlA+GnKG//J4VT40/PvwLddaPnMpS5u8GGA+6PGNl//DYj6WOSxkqW1lPt47dm5nFmg+I1E/pte/aj66Q6z7hy1qvkRtIXTDl2e+081FbVgDZb6CRoIm12tivsZBJbvkoF++PQRCQvZiWr7vJL7ULR9VvmT+nC2krU++/nWL3c0VRb7kiG5nNvA0vgBl9mKNdtU9ChTd79amNT5uwCGn+4FFPm/kFMu6G1A+ETldZ0d6VT6h7kjXxNxaPkqWkdSDIWA+FsEd9T3WYj6E4BKv4otlPqCBJQTUQGg+hsLD3+kbar4ExjU6o4NnvgWH0NzI7mS+kCv2nFlYYr7Mpf+Jw31fvkQFmb2FRFq++CQJMaoFVb7n4FwvYoRPvkuQpgnu9US+GKehuyzCNL6AWaS9Re/cPXMdhZjltjU+xHtEKN2ERT5mQ9Zu1RtQPlj641WWelU+bUBeR/feWj4y7v1AZCRgPkBBK66022I+U2ddR8CUZT7PuKV0kU1oPvQgwzs4B2q+gxEQiiVsZ77mCYrdotVkvv25UUgvP2K+Gjj0HSVOX74CiRklZBlavrB1eR0d4FS+Zmqcu4tFT77VP1W65sNEvp5MICPVdzS+sNr2wVmn5D2kU2svFtI1PszPgwrRiUU+6vVVVwQcUD6MEYKWLntVPrgePyHx4lo+G4HvJHUpYD6HtmUWAuViPqjCeYoRo2U+QG68rIdgaD56xoPsfvJpvlyrc1qwVGe+XcfH9627ZL6oSCcJ+CNivk1yEB7iF1++2v20qbzlWb7hqWbt77BUvqeilDUK806+9EIFgld/RL6mAP1XuQ00vlBiD8292e09+FD35CD8NT5ylGVdxpFFPnl5dPNYHFA+uQhnTiB8VT4eBTfUIOlaPuQ1orEPMWA+g0MD50HyYj4BvQnxKbZlPsretktAeGg+xVolY7Peab5cB/qRLT5nvqOPZaQ4omS+dy8l3TYIYr6QkZye891evjHJTyS6q1m+cbleFy55VL5fhkvjSoxOvheww6BfJUS+lqPEc6J6M77Y6jy2L6z1PaxOxB+hPTY+lIxkmRGfRT5Sh1WoBB1QPsFwhy6JfVU+YeDQKHDyWj5tSa6Z9TtgPik4MIgDBGM+gEgMW+3NZT5jQXQq+ZNoPh/2voz+y2m+ylw2ZckoZ767QpxKmIlkvhh4r36T7GG+MeIe/e2hXr5wQARny2xZvkX8DL15OVS+01aR1SoQTr74lXf9zLFDvoS97kqbsDK+AKTuyq2o/z1GP1fUJKc2PiQpbLS7tkU+dHqzrpceUD7qMmC3yX9VPlpnFT/WAFs+yRjeRLBLYD5Qw+Y2ghtjPmjEanHY6mU+wJNAfJOzaD68W7A0PbppvtcrxxZcFGe+fnaYr8RxZL5E1JrnNtFhvhfdMIWUZF6+qK2tyMopWb6Qq3a+SfJTvud2F41KfU2+2fr/RrQfQ74/6FO/eZwxvsxNZQxLUQc+NH9WLzBYNz7AF+TPveRFPrrOIekEI1A+xEz6P22EVT7QiEMzYxlbPnCMGfNmY2A+83kNGys7Yz7pZRRgLg5mPo5lsW2c12g+e898vjSpab4Fnti9qQBnvgmBfD2OWmS+37Zj1xa2Yb5e7eavMCZevgMwH/1O41i+ONq8MxKkU76nBeDUANNMvoDQE+J4akK+asao+qcnML6bZ3rCu00RPlpQhZlcjTg+0vJM0itIRj4Jcn0PLTNQPkGI82qQk1U+N3rfTytKWz4WkJViwolgPg2YT4oUZ2M+Hp3ucPs5Zj5J/M/aEgFpPvrVGF2qmGm+zkpOKnbtZr6Viq4ewENkvjcZh/kZm2G+ckMl1e7mXb4e4xjG7plYvosnKP3AT1O+VBoPraoSTL5xyqkgz5BBvqaHt1PIfyy+r8xKLtWiGT4Kc5a8V7E6PpTP8fgLNkc+ivVflXB7UD4IxMMgjdhVPuqOZQ6uvFs+yfCSzjDLYD4SlC6R4KRjPhMAE6U+cGY+cAmwKrkwaT7fSOeXaIhpvg7yCfSJ2ma+z89T9ystZL6Uv+MnK4BhvmodsSgMp12+Wq2OFpNOWL7EQ1TfFvdSvioX+S7VQUu+/U1LTyaZQL4o5cuGBNsnvls2kyQZgCI+Mgx1AmE6Pj5YTGeDlWNJPuYN7Q+/sVE+euDCYw8NVz4vMuYWfc5cPl+702TgNmE+GoSzhnT3Yz4in6RyxbBmPiGKMcnPZWk+zZz6Rz54ab5XktlJtcdmvnUcMNypFmS+KOHf0z9lYb7EMpHm72Zdvsy+iYqAAli+6cBgIuGcUr5Zbc4Y12pKvrH+JggMLD++bm7iyRzbIr72yYlgFe0oPj3sEYlCU0E++5p2/rO1TD7z2bsRrDdUPvo1V3PUm1k+A+Z4t5l3Xj72sNNmLb5hPuLh0K2mVGQ+7JufcKb1Zj4upmMoEJ1pPu2SPef8Z2m+xBS7tsm0Zr4/KkOTFgBkvrCh50xSSmG+0hm++BEnXb7P6KkCL7dXvkju8xtURFK+ZBPkKJ6aSb4vFfwz6z89vmBJUEypjBy+wgiJS6l0Lj4Xig9WdP9CPvouQnRZqE4+yYsOjBUyVT6M143aLZJaPs0bXj4Wal8+eIr/5nEjYj7o4JUArKRkPsbq2FkfNWc+LCLLZ6XRaT4DsdpTc1dpvuHaPDKXoWa+58ECIErpY74G8FjrVy9hvsVOg1DX51y+WjHQL99tV77YGxPrKvBRvr4Zn5Uf20i+Mgm7na+QO77sG85TWBIVvt3kEPA4PDE+uCPSMiz/Qz6hN+SuY3hPPlrl8hAYaFU+iKjMI5zEWj7w+EaCBM1fPmESzEEMYGI+5lCUz+rfZD4APgmjJGpnPrj7MEOkAGo+JuJQ4WtGab4ZVEFp5o1mviQeW+oV0mO+dXE42ToUYb5FEGQpfalcvqxAFmdyJ1e+kGs0jBiiUb7uiGp0iDFIvoyjsXB4KTq+cpPe2tyzDr7OZKomiZkyPiNS3jhxkEQ+a5Ij99vQTz7ARoNPjnNVPo8bcYQAz1o+goBryAv4Xz5n5hSz54NiPgnHJRwzCmU+nuxPOQaVZz4ZWpk4lClqPgEyJM6rNGm+jHouzHp5Zr7rhg7URLpjvo6EzAbi+GC+xkyMnSxsXL7H8uXKgORWvuwO4VEBW1G+QdHOhByfR76iuh6QOwc5vjq5GAeZMAa+xkCrQP+CMz5y5DwOCOVEPubnDAzv+k8+LIGjpaV2VT5+s039RdJaPnNPfic9B2A+KbJWY4SaYj4ixJX5/ihlPvXfrevVt2c+bVl7bk5Naj43p1ZL+CFpvnfyvooYZGa+LdR2LKehY74J4NMvQt1gvl6Twl8xMFy+k0SjiJ2lVr6SNx7DXxtRvkaJyo85I0e+/2j1FA8hOL6QbtZN4dz/vRJaPaIxIDQ+94w2IzMYRT74YKdYpghQPsi8VifMd1U+6PlPnBPUWj5YOwJTEg5gPmaD8NLIqWI+jtYybhxAZT508vWugdRnPmrD3HPGbGo+aglaRS4Oab68/wacl01mvkIWtXM0iGO+5plnwITBYL5vqTybS/ZbvvjBnfama1a+e/6WUKrjUL6Y/UQcn7xGvvVnoBeLbTe+SMAXVpi29r3YfAS5Jos0PvDCK2dtOEU+F7heOxQPUD6YR3bVWXhVPtkJEsBb1Vo+9a4cDpkSYD4YfmuwhbRiPtNOFj63UWU+oCAioi3sZz54ycumc4hqPnxYlIN2+Wi+zKfZZSQ2Zr4pP7kKQm5jvkCWM51QpmC+5aDEVRHAW75AW+vECDhWvgjsBI6ItFC+bMkxFDNqRr6kpUxyo+Q2vli3JTL1GPC9lMtuQ2jUND40H5p1SE1FPqD8eu0BE1A+AWoNGah4VT7rIEXtRdZaPozGiZaoFWA+7tJKnxK8Yj7GBoHm6l5lPmd1o609/2c+5BN8rSigaj7QdBZ6xuRovpaZxYeoHma+YcmfPR5VY76uJ+scKY1gvsKcpVR5kFu+meNbg+8MVr5YzCqgA49QvtUacF1uK0a+8KGL8LGANr7QNDTPuOrmvTAbisvLBTU+AemL0NZaRT7nzuV1eRVQPqiLJrXXeFU+J2bPeN7WWj43OISooxdgPi1zk1EgwWI+6rzRNTRoZT6Y+F7aiw1oPn/KqXYcs2o+BrOOmynTaL7NrKG6iQpmvphRW1mQQGO+wsxWeK15YL6T+kzvXG1bvqUYfCmE7lW+enSxAIZ1UL6/KJhHNwJGvmrX3nkHQTa+oEaX6HYr4b3CufU2oiM1PqK0/KTaYkU+ouyu8+kWUD4acob/8nhVPjT8+/At11o+cylLm7wYYD7o8Y2X/8NiPpY5LGSpbWU+3jt2bmcWaD4jUT+m179qPrpDrPuHLWq+RG0hdMOXZ77TzUVtWANlvoJGgibXa2K+xkElu+SgX749BEJC9mJavu8kvtQtH1W+ZP6cLaStT77+dYvdzRVFvuSIbmc28DS+AGX2Yo121T0KFN3v1qY1Pm7AIaf7gUU+b+QUy7obUD4ROV1nR3pVPqHuSNfE3Fo+SpaR1IMhYD4WwR31PdZiPoTgEq/ii2U+oIElBNRAaD6GwsPf6RtqvgTGNTqjg2e+BYfQ3MjuZL6QK/acWVhivsyl/4nDfV++RAWZvYVEWr74JAkxqgVVvufgXC9ihE++S5CmCe71RL4Yp6G7LMI0voBZpL1F79w9cx2FmOW2NT7Ee0Qo3YRFPmZD1m7VG1A+WPrjVZZ6VT5tQF5H995aPjLu/UBkJGA+QEErrrTbYj5TZ11HwJRlPs+4pXSRTWg+9CDDOzgHar6DERCKJWxnvuYJit2i1WS+/blRSC8/Yr4aOPQdJU5fvgKJGSVkGVq+sHV5HR3gVL5mapy7i0VPvtU/Vbrmw0S+nkwgI9V3NL6w2vbBWafkPaRTay8W0jU+zM+DCtGJRT7q9VVXBBxQPowRgpYue1U+uB4/IfHiWj4bge8kdSlgPoe2ZRYC5WI+qMJ5ihGjZT5Abrysh2BoPnrGg+x+8mm+XKtzWrBUZ75dx8f3rbtkvqhIJwn4I2K+TXIQHuIXX77a/bSpvOVZvuGpZu3vsFS+p6KUNQrzTr70QgWCV39EvqYA/Ve5DTS+UGIPzb3Z7T34UPfkIPw1PnKUZV3GkUU+eXl081gcUD65CGdOIHxVPh4FN9Qg6Vo+5DWisQ8xYD6DQwPnQfJiPgG9CfEptmU+yt62S0B4aD7FWiVjs95pvlwH+pEtPme+o49lpDiiZL53LyXdNghivpCRnJ7z3V6+MclPJLqrWb5xuV4XLnlUvl+GS+NKjE6+F7DDoF8lRL6Wo8RzonozvtjqPLYvrPU9rE7EH6E9Nj6UjGSZEZ9FPlKHVagEHVA+wXCHLol9VT5h4NAocPJaPm1Jrpn1O2A+KTgwiAMEYz6ASAxb7c1lPmNBdCr5k2g+H/a+jP7Lab7KXDZlyShnvrtCnEqYiWS+GHivfpPsYb4x4h797aFevnBABGfLbFm+RfwMvXk5VL7TVpHVKhBOvviVd/3MsUO+hL3uSpuwMr4ApO7Kraj/PUY/V9QkpzY+JClstLu2RT50erOulx5QPuoyYLfJf1U+WmcVP9YAWz7JGN5EsEtgPlDD5jaCG2M+aMRqcdjqZT7Ak0B8k7NoPrxbsDQ9umm+1yvHFlwUZ75+dpivxHFkvkTUmuc20WG+F90whZRkXr6ora3IyilZvpCrdr5J8lO+53YXjUp9Tb7Z+v9GtB9Dvj/oU795nDG+zE1lDEtRBz40f1YvMFg3PsAX5M+95EU+us4h6QQjUD7ETPo/bYRVPtCIQzNjGVs+cIwZ82ZjYD7zeQ0bKztjPullFGAuDmY+jmWxbZzXaD57z3y+NKlpvgWe2L2pAGe+CYF8PY5aZL7ftmPXFrZhvl7t5q8wJl6+AzAf/U7jWL442rwzEqRTvqcF4NQA00y+gNAT4nhqQr5qxqj6pycwvptnesK7TRE+WlCFmVyNOD7S8kzSK0hGPglyfQ8tM1A+QYjzapCTVT43et9PK0pbPhaQlWLCiWA+DZhPihRnYz4ene5w+zlmPkn8z9oSAWk++tUYXaqYab7OSk4qdu1mvpWKrh7AQ2S+NxmH+RmbYb5yQyXV7uZdvh7jGMbumVi+iyco/cBPU75UGg+tqhJMvnHKqSDPkEG+poe3U8h/LL6vzEou1aIZPgpzlrxXsTo+lM/x+As2Rz6K9V+VcHtQPgjEwyCN2FU+6o5lDq68Wz7J8JLOMMtgPhKULpHgpGM+EwATpT5wZj5wCbAquTBpPt9I55doiGm+DvIJ9InaZr7Pz1P3Ky1kvpS/4ycrgGG+ah2xKAynXb5arY4Wk05YvsRDVN8W91K+Khf5LtVBS779TUtPJplAvijly4YE2ye+WzaTJBmAIj4yDHUCYTo+PlhMZ4OVY0k+5g3tD7+xUT564MJjDw1XPi8y5hZ9zlw+X7vTZOA2YT4ahLOGdPdjPiKfpHLFsGY+IYoxyc9laT7NnPpHPnhpvleS2Um1x2a+dRww3KkWZL4o4d/TP2VhvsQykebvZl2+zL6JioACWL7pwGAi4ZxSvlltzhjXakq+sf4mCAwsP75ubuLJHNsivvbJiWAV7Sg+PewRiUJTQT77mnb+s7VMPvPZuxGsN1Q++jVXc9SbWT4D5ni3mXdePvaw02YtvmE+4uHQraZUZD7sm59wpvVmPi6mYygQnWk+7ZI95/xnab7EFLu2ybRmvj8qQ5MWAGS+sKHnTFJKYb7SGb74ESddvs/oqQIvt1e+SO7zG1REUr5kE+QonppJvi8V/DPrPz2+YElQTKmMHL7CCIlLqXQuPheKD1Z0/0I++i5CdFmoTj7Jiw6MFTJVPozXjdotklo+zRtePhZqXz54iv/mcSNiPujglQCspGQ+xurYWR81Zz4sIstnpdFpPgOx2lNzV2m+4do8MpehZr7nwQIgSuljvgbwWOtXL2G+xU6DUNfnXL5aMdAv321XvtgbE+sq8FG+vhmflR/bSL4yCbudr5A7vuwbzlNYEhW+3eQQ8Dg8MT64I9IyLP9DPqE35K5jeE8+WuXyEBhoVT6IqMwjnMRaPvD4RoIEzV8+YRLMQQxgYj7mUJTP6t9kPgA+CaMkamc+uPswQ6QAaj4m4lDha0ZpvhlUQWnmjWa+JB5b6hXSY751cTjZOhRhvkUQZCl9qVy+rEAWZ3InV76QazSMGKJRvu6IanSIMUi+jKOxcHgpOr5yk97a3LMOvs5kqiaJmTI+I1LeOHGQRD5rkiP329BPPsBGg0+Oc1U+jxtxhADPWj6CgGvIC/hfPmfmFLPng2I+CcclHDMKZT6e7E85BpVnPhlamTiUKWo+ATIkzqs0ab6Mei7MenlmvuuGDtREumO+joTMBuL4YL7GTIydLGxcvsfy5cqA5Fa+7A7hUQFbUb5B0c6EHJ9HvqK6HpA7Bzm+OrkYB5kwBr7GQKtA/4IzPnLkPA4I5UQ+5ucMDO/6Tz4sgaOlpXZVPn6zTf1F0lo+c09+Jz0HYD4pslZjhJpiPiLElfn+KGU+9d+t69W3Zz5tWXtuTk1qPjenVkv4IWm+d/K+ihhkZr4t1HYsp6Fjvgng0y9C3WC+XpPCXzEwXL6TRKOInaVWvpI3HsNfG1G+RonKjzkjR77/aPUUDyE4vpBu1k3h3P+9Elo9ojEgND73jDYjMxhFPvhgp1imCFA+yLxWJ8x3VT7o+U+cE9RaPlg7AlMSDmA+ZoPw0sipYj6O1jJuHEBlPnTy9a6B1Gc+asPcc8Zsaj5qCVpFLg5pvrz/BpyXTWa+Qha1czSIY77mmWfAhMFgvm+pPJtL9lu++MGd9qZrVr57/pZQquNQvpj9RByfvEa+9WegF4ttN75IwBdWmLb2vdh8BLkmizQ+8MIrZ204RT4XuF47FA9QPphHdtVZeFU+2QkSwFvVWj71rhwOmRJgPhh+a7CFtGI+004WPrdRZT6gICKiLexnPnjJy6ZziGo+fFiUg3b5aL7Mp9llJDZmvik/uQpCbmO+QJYznVCmYL7loMRVEcBbvkBb68QIOFa+COwEjoi0UL5syTEUM2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url(\\\"data:image/svg+xml;base64,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\\\");\\n  background-size: auto calc(min(50%, 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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\":\"ea338ac3-2a54-4138-8f89-9eda7063f55c\",\"roots\":{\"p1430\":\"b071dd70-5f72-4eac-a13f-6b6a36845b71\"},\"root_ids\":[\"p1430\"]}];\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": [
       ":DynamicMap   [t]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [x,y]   (field)\n",
       "      .VectorField.I :VectorField   [x,y]   (angle,mag)"
      ]
     },
     "execution_count": 18,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1430"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive.hv(kdims=[\"x\", \"y\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84375507-3f46-4c80-88ff-29dd9aa72c54",
   "metadata": {},
   "source": [
    "### Selecting only a part of the drive\n",
    "\n",
    "We can use slicing notation to select and plot only a part of the data. Here, we select the every 5th of the first 100 samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "090d6acd-ddb5-4e9a-8f9b-0cec031ad0f6",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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       "  <div id=\"c954a2a8-aea9-438b-954b-c2b125c9c093\" data-root-id=\"p1529\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"38a186d4-38f4-4acf-8ba9-586a352d23ea\":{\"version\":\"3.2.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1529\",\"attributes\":{\"name\":\"Row02264\",\"stylesheets\":[\"\\n:host(.pn-loading.pn-arc):before, .pn-loading.pn-arc:before {\\n  background-image: 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\"},\"shape\":[1200],\"dtype\":\"float64\",\"order\":\"little\"}],[\"x1\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[1200],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y0\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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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\":\"38a186d4-38f4-4acf-8ba9-586a352d23ea\",\"roots\":{\"p1529\":\"c954a2a8-aea9-438b-954b-c2b125c9c093\"},\"root_ids\":[\"p1529\"]}];\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": [
       ":DynamicMap   [t]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [x,y]   (field)\n",
       "      .VectorField.I :VectorField   [x,y]   (angle,mag)"
      ]
     },
     "execution_count": 19,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1529"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive[:100:5].hv(kdims=[\"x\", \"y\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1f7f670-2ee1-408f-9f94-171266a90e0c",
   "metadata": {},
   "source": [
    "### Normalised magnetisation\n",
    "\n",
    "To plot the normalised field, we can register a callback function. This function will be applied to each field in the drive before the field is passed to the plotting method. The input argument to this function is a `discretisedfield.Field`. Here, we have a simple function that computes the normalised field (`field.orientation`). As the code for this function is very short, we can use a `lambda` function and define it directly inside the `register_callback` method. The `register_callback` method returns a new drive object that we can plot.\n",
    "\n",
    "If you are not familiar with `lambda` functions you can also use normal functions as demonstrated in one of the next examples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7f235ff0-afa5-4c18-a90a-00c7cdaa7d66",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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\"},\"shape\":[1200],\"dtype\":\"float64\",\"order\":\"little\"}],[\"x1\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[1200],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y1\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"TgmHXSvTaL62vIUsjApmvhk51XqTQGO+Wp0MCbF5YL7YP+AyZG1bvkY3qzqL7lW+ddAWN4x1UL4sYNwHQQJGvrS4eusQQTa+gGtAWA8r4b2csqSstCM1PktIWtvqYkU+Ec8rx/QWUD7wEMBA/3hVPm8CkBU611o+e0leC8IYYD6STf1aBMRiPtVF/fKtbWU+dEmU8WwWaD5oyw1V379qPoKKb3nJ5Gi+9mNxZqweZr7nf0oLI1Vjvky4mJIujWC+0tsFZIWQW74+NlS/+wxWvmzQy9oPj1C+qn0cBoMrRr4ahEST0IA2vhCl3NFE7Oa9yfo5y9EFNT6XQwaH41pFPmZxmgaEFVA++bH+nOR4VT4oQQkn69ZaPpWgU9OoF2A+qvWQ7iPBYj6sxe85N2hlPqXCSVmPDWg+OZSN5CGzaj4ULHAde/lovncYlxYqNma+Bv2QCkluY77gKT3nWKZgvoRJEdAjwFu+gLLTVx04Vr60f1vunLRQvir03HlZaka+BSXnMd/kNr4o+gPxmxvwvVvVIBRU1DQ+fyiTO0tNRT5ix3oVChNQPnb/frS1eFU+9Clr5lLWWj5wMWPmqxVgPsFinwoTvGI+ZVC10eleZT5QZy0WPv9nPsjedqwroGo+joavbDQOab6efjNGn01mvpA/U/A9iGO+NJtnJpDBYL5RD/XPZvZbvqg9ONPEa1a+g0tuHsrjUL7pu+T/2rxGvskeh6L9bTe+qLk4o1i99r0cEcjzwIo0PtQpzeBFOEU+D+UJbA8PUD7ne2AYYXhVPscyhi5h1Vo+PT7nDJQSYD74rex9eLRiPmnDFwGqUWU+92ydryXsZz4+bnwNc4hqPkPyDfb/IWm+niKtDiJkZr5Jd7VDs6FjvmW0aVJR3WC+DvBoT1UwXL5Rcp1Yx6VWvvM7dvSLG1G+MdgtUpojR76BRApl7SE4vqiKvubG7v+9gr3M5sseND76qmbDhRdFPv5oCs5pCFA+Dm5/Y7V3VT6/ymVO+NNaPpxQmmLsDWA+b5rglZKpYj7Dzupf6D9lPnjhmkVi1Gc+pAu/Lrpsaj7pVnTMtDRpvjDNcDuGeWa+McR+nVO6Y77Ea9+w9Phgvm2f5vBabFy+EvvoFbbkVr4f+cdOQFtRvr4H6F+6n0e+v3iiqxIJOb7idQ66nEcGvvChgQUEfzM+rDId6cPiRD5sNQ2BKflPPux6IV0idlU+lQiNxbfRWj4fDXhXuQZgPhPLsOrXmWI+nEM0sWkoZT6QZTwvd7dnPki58twfTWo+TPGCJHZGab4j/t+J841mvm6Qgjgn0mO+mA/0R1EUYb6HpNRotKlcvtqNP7S2J1e+1EleTXCiUb6p52GomjJIvv+ukRhELTq+ECDlFqnoDr514qOAZY8yPrWSnTs+ikQ+0EaVZSfLTz6mJrMitXFVPrzu8jwUzVo+yPjBuuX0Xz5sV3U8IYJiPviMDc3ACGU+D8SSQCGUZz5654HrFilqPo19tpp+V2m+9YvO4qWhZr7jhZ6qXeljvv0sK1hxL2G+QJQePhjoXL5/C85/Mm5Xvi0bGNin8FG+6liZYOTcSL6vA2riupc7vlkXH56bRxW+SfKR8R8mMT4iKoYGqO9DPr5rLGO5Z08+V4NX/IxhVT4/s/kR8b1aPmEHJp4dxF8+xlP5zMVbYj7fbstd19xkPtqMuC9UaGc+v1BjfqD/aT4Odxr8CGhpvizfWHbZtGa+V3xsySsAZL6lygc2bkphviw+4BhaJ12+ZFjUtpK3V77ZzawO+URSvjxEaog6nUm+zg8+ZQ5LPb62IVPhquYcvgqyOy2zIS4+y5j9dKrdQj78joc82XlOPtX/dHZJGVU+eHcpXPR4Wj6u8p/fmlFfPhPz+2BXGmI+2nLsVgufZD7lKZT7EDJnPphDgy76z2k+KQRMwUp4ab7sN52sxcdmvh03x/C/FmS+SCSrB11lYb40ZFTFPGddviiOXmbuAli+oLGALKOdUr5mR4AGEG5KvrUI+wdgOj++WDOVPRkYI74F4s2fBHMoPjdMDtIlGUE+NxISsk9MTD565+f7+uJTPgZbKhlyRFk+aU8f18s/Xj59KLvKp65hPtKCZ2F3TGQ+1ooCLorxZj7nwgGQ45ppPjuwOBF1iGm+o5fNVpraZr536uoLQi1kvrQCr1tIgGG+2k50B1mnXb62fGPyAE9Yvns0dOnY91K+N/GqHA5FS74AUzVPUKBAvhKqfvoAGCi+ak7XYwgGIj4nzG2UJ8Y9PpXDAjcx+kg+bRsZ+g1dUT6GBZYJrbVWPpWbjDavllw+5jK7yFonYT4KJUo6Re9jPgyOBzCprGY+2qbPMKNjaT4buvVxtphpvjYV7OmF7Wa+rdzXVNVDZL4sQqfiNZthvsxnR/U2512+s1JDelKaWL4cB+HvZVBTvixLlQxHFUy+wMdKuWCWQb7Q8zgeyawsvjwfsPHo/Bg+cpBy+sNtOj6WLzfBiwdHPpdpxn+kYlA+9GNfolO/VT7LZaevMqRbPmRZj0gWwmA+BCaF5z+fYz4yP85GMG1mPtwqaPENL2k+BZxYBUCpab4ZT2puuABnvgVFGMihWmS+1vM1RDC2Yb7ZMoKdcSZevigKHU2i41i+jNnBII+kU77SRNqfxdRMvr9Na4T+bUK+RQU9zfg0ML5LnX7IV/UQPjBd7UBUbjg+7yaVhoE3Rj4GEOL6oSxQPviSIFnljFU+qIi+a0RBWz570cLte4VgPga2hhgBZGM++Oud/So4Zj5QUQIWDwBpPuJq4ndHumm+4dVlN2kUZ77I6L/91XFkvmdyVlZN0WG+WXGhxMtkXr7W+tYVDypZvtSJoH+h8lO+otUOwVx+Tb6SAPAamiFDvtG51EYTozG+Gjsx3C0ABz5aANU0yks3PiXMVT4J30U+oK5RvCshUD7xH3z4gIJVPhYBmiU9Fls+df15fKBhYD7jP/XLuDljPlo9V2dJDWY+7/KZIB/XaD4HGw+LB8xpvm6veNTUKGe+AYAMFKeJZL5OX8Iopuxhvtg0eVAcol6+u0gHsgBtWb535vO5uDlUvk+NqrDIEE6+B3U5i7iyQ74YdU3Be7Myvqi2VBj6aP89vdsXipyiNj6qdmwp9rRFPjV0MWYUHlA+Aoiffzt/VT6x4gifzv9aPrMxOMwDS2A+ykKF7uwaYz4DSvm0eeplPpvzt+pks2g+0aXcDbveab6CN+gVNz5nvr8ypLtEomS+0wO7/0UIYr5A7kKOF95evu/2SfTjq1m+0r22SFp5VL5J1a6lq4xOvtkdzsjOJUS+ViVTzcB7M77oITP/05X1PbKKJGBGPDY+oJwqhJieRT6YOH7k7RxQPphBneBtfVU+5woBSCTyWj53YJ5cvztgPl4w6HnPA2M+hDex8c3NZT6fiVbl7JNoPp5D2ROF8mm+PiqgBLhUZ76q8GV0t7tkvvZJJ28DJGK+L9jIUv0XX76KeU+G2uVZvun2PbsPsVS++GA0GUbzTr5dnnjHkH9EvjwQz1wlDjS+EOuBJQXN7T3BHjrY0fs1PmLuu768kUU+yK1eNmAcUD6nMdu8JXxVPq4jzNEW6Vo+xGUjfwIxYD4ZuASqNPJiPlgJhf4htmU+kINnsj94aD6L9J7VPAdqvi6CzTorbGe+w8dh3anVZL6cTVuSNz9ivrngQJg3Tl++QuABuHgZWr5cCdB9MeBUviSVRyGyRU++hn8imgTERL7KMA6P/3c0vpATONjTpOQ9N2ZduxvSNT5QZYNa4YlFPl+Lx/IRHFA+lRqojzt7VT6B9PHA9+JaPu4QRJB1KWA+JgCaAQHlYj6RtAPzEaNlPiQ5t6uKYGg+ONgc3+wbar5kkOEYp4Nnvos9e6rN7mS+LryjEl9YYr7c5F+Zz31fvulXkfmRRFq+DCmqa7YFVb66QwnYdoRPvmABA1v99US+muq2GznCNL7gP5ypxfDcPZ7SeQX/tjU+wsCtSfKERT64aa5W4htQPlnVHQSjelU+KhH9nAHfWj6vcPvdZyRgPgJKSbK322I+YDFIxsOUZT6Jgonilk1oPgKapL2JLWq+LX0F5sWXZ75Utb+OWwNlvhoXOLfaa2K+C4e4/uugX77dInFT/WJavuqAIws0H1W+0DXh7a2tT76jZlmW0hVFvgzS6yoz8DS+gJu0zip71T1cO5hc96Y1PkuFG04RgkU+RoNODMcbUD5MP/GLU3pVPrIub7fP3Fo+9PEAmIghYD5Wze6DQtZiPhruMDLoi2U+5fvzsttAaD7PAX8LMFlqvnVSZw2ktGe+ogvvdlEPZb5cDdptbGdivnSc8Zn0eV++D7Acxt0gWr6/FfTZgMRUvhRejeMPy06+6KGuKpsIRL6hCHRkmYMyvlSTOUemmQg+eI2bVSq0OD6LC1ugKDBHPmrqmTYPBlE+6Kq81OZ2Vj7aAJi3SOpbPuhwzWTTr2A+hi61aQhrYz4pM3aN2iVmPqVluCs/3mg+xe9qwTRRar4dKgD7UKxnvgPYvV/hB2W+T/KZvohhYr4akyt1rnFfvpQghw/7G1q+YbaWKp7CVL7tAslLUcxOvno4P2HUDUS+ihVCPqWTMr4uDCJfcwIIPlcSRWjToTg++M91PFwpRz6eAsOuDQVRPmBsHwWKeVY+PNy69bbxWz4x0I/rcLZgPgBmH0ILdWM+snYJQdozZj6XonNjlfBoPjsgGHFAR2q+q7CNycChZ76fupxwpP1kvoTZQAuJWGK+3Nu7kU5jX76jilAjrBFavptgVL9evFS+TR+FzlrHTr7uXTNmdg9EvtEmiKmJoTK+QWFMsqxaBz7AAXnTuIo4Pl0zdagZIEc+el8sqqMDUT4tGL6bhX1WPk0bfFAD/Vs+5rh2rXTAYD5B46i44oNjPtu8OKKpR2Y+R5BCY4gIaT5lSqL+tTxqvlj0g+xmlme+ZQPRV/fxZL5UPME8Yk1ivmEfARWKT1++10Ic8oMBWr5CslwCbbBUvmDPT41iuE6+35c9xksJRL6ASBSzYKUyvnbWEn+B0wY+y6hQ9XFyOD6LU4SS2RRHPo9z57mZAVE+o1fIuYaCVj5XcqQWwgtcPsA1VEZkzWA+Ts8O+2GWYz5VLYi0DF9mPqMpXyhDI2k+Tr5LyCUyar6tytBp1IpnvgJ1Rg6R5WS+rxHsTcFAYr4tiiGFTDdfvqcmWseo61m+CisEYh2eVL6JeOY1oJxOvkANzIao90O+ICfhUIWXMr46zyiamp4GPrnkVfkxXDg+2JJuK3wHRz52Qe87gP5QPiTygS9+iFY+3kPu75ceXD6iLoI5kd1gPsR6q4dqrGM+iAX4bUR5Zj6x+vjXqT9pPj3vPBa/J2q+1e85hkN/Z75N+eX5xdhkvmvb1DUYM2K+SI7i7V4bX7548pSudtBZvqawToMLhVS+FnS1lI1xTr5mVw5qYdZDvm2cXzinbTK+W+tOIzULBz4kT0l0TU44PrnQVPBa+EY+dybN7bH5UD7CjN4V8I9WPnKVbZKGN1w+dRqN2yvyYD7vZujhqMZjPmRqXf1jlmY+TJCnUX5daT5I65WZgx1qvjcQBzq7c2e+zP0wJLXLZL5ZA1uUniRivlaOMX9I/F6+FHTuuzqwWb5BbeDv7WRUvnFnHV6YNE6+ggJvz2ygQ76XC/JrzhgyvvNCTkEGpgg+fpWzzKdXOD6WL9doMupGPrUzJbu08lA+Eua7GMeaVj4XUV2Kw1tcPkz0hHG3DWE+VJBJurXmYz7i4ZjVHbdmPixysSoSfWk+MMzv9WATar4ZkRzVLWhnvjvH+btdvmS+cNSdNGkVYr55KX58UdpevgEVQdcui1m+hS3FQYo9VL7gYqGCXONNvsRh/6ULUEO+1SB2j02EMb7tOF3qWGQMPlPAkqiHmzg+OIZJIafpRj4R114bmetQPgLzF4oEsVY+mAWfo9mXXD7WEtoAEjVhPukhajMCD2Q+pBspgX7cZj7lO4Bl5Z5pPgoUOXc+CWq+cGQPUIVcZ77Hx7XmsbBkvrLhxAB7BWK+au6eNqe1Xr4vbTkWj2FZvmOtiGTuDlS+hWUjLmd8Tb6DJjDJUeBCvvyUeqxOmDC+5JRY8N7eET4eF28W5Gc5Pl8FFD+jJ0c+8f2B4U/6UD7afXvfbfRWPoDgO0ZLCl0+ynWpjZ9vYT49JC2fF0JkPuqxqk4GB2c+j1PjbgnDaT4lClmSAf9pvnOQT/SnUGe+cxf3lp+iZL5YOyhP0fRhvu5WOyR3jl6+BmhNWsszWb4UcFiduNlTvueRsFjfAE2+ZOe+hHtQQr65f1ljH48uvmn6Q1soFBg+WsHtMQA7Oz5oR5/9UDJIPmx94gMWlVE+vasweNjdVz7aTbF2cOVdPj0bpkwdwmE+mT58IM9+ZD6hcs+5IDVnPuq5wa9N6Gk+UR9CPo70ab6poGZ2e0RnvqyDwmUSlGS+RYB99mnjYb7l3xACBGVevgKHD5ebAlm+pOOtrGKfU75IEirdy3VMvvx0eLG6qEG+OojNl0tRK75eLdcscjcgPrM8XTcNHj4+aRVKmshfSj6Ur/9TsTtTPgo78LU2gVk+qcisN3D0Xj75T7z0tBhiPuYZziu1umQ+BtFkT4VhZz7koGLA9gtqPuf372nG6Wm+ka1l0uE3Z76eGW2U84Rkvh256VVB0WG+B4k3j5s5Xr6QTeFe885Yvhl/TeEAYlO+mrCQ6JTjS7495cnBEflAvgMB3l0s+Se+TLSLcnxiJD7wQvLZcGFAPte1xSOQAkw+BxfyfgELVD4EqxnKt/5ZPnnjFBjKZV8+qJ3maqlMYj7QFDnEvuZkPtjK8BYAhmc+dq/KOu8qaj4pJB+aht5pvr9Mg2O3Kme+kSKz7yN1ZL6aL734S75hvsB9olF/DF6+10IBubyZWL5ySZQQryNTvvQXCAdfUku+7SvSQ6ZQQL4vBLqYte8kvtyuPDDa1Cc+OFuWcE9QQT5z5uFzyOBMPqkgx/95S1Q+iZ4nlXgKWj4ELK/MUX9fPrh8DhruY2I+i/AvDfsBZT7nsNGX06BnPoK73kn5Q2o+OZpaGKTSab6+Hr9SzhxnvtEhBHd5ZGS+j3n0xnCqYb7f8hw60d1dvr9fQLqvY1i+tH9ytwnmUr6CvJd86sdKvhfEWzTFbz++MCPE3NFeIr6iX41uangqPmGBw8c27kE+Z2nFvplXTT4lvEYuKGNUPte12J3BBVo+hJMXER+AXz6bpLZJCW1iPmTWn1GdEWU+vrit15GzZz6z/LxHdFdqPgx5dJ3rxWm+eONXl+4NZ754RHeJvVJkvmd8hleMlWG+Mq0W95qtXb5EAJk+VC1YvnzRoestqlK+3aQ9ilFHSr7i2F9NeWM+vvbZpo3URCC+sceTOhVyLD5ueI+8F1hCPifWgKLenE0+jOVcO31uVD6Rp+tVbABaPrZfPEYde18+FLuH6cNvYj7DxvTfIBplPhMdp5NGwGc+sscco05maj7oFrebI7hpvjz3H4HY/Wa+sXHIYrM/ZL6hKmPfe39hvlUsJBX1e12+rBPJHzD3V74wvlRZ8HBSvmDlC20Z0km+rjaE5gl8Pb7hUbO6BCMdvrLCOv7C7i0+q9AWUmuhQj6BVEqf7shNPulHSVXMdFQ+TUa3S8v7WT5k2/tdtHRfPoSirnxjb2I+DhZUNCEeZT5a/Kryb8hnPsf6+6pFcWo+Z3od9xypab6MU5p+UexmvmKYrCIxK2S+0DpUFz1oYb4sVrFTUkldvuk25ugTwle+m063uDI7Ur59wTEbJGlJvoCC75sTtzy+jN/Yyr1kGr5A+IIMxRAvPj2N4D8v1kI+dREXV8rmTT6dhCjhmnhUPiwXBjee91k+7/dyn+xtXz7w77CUSG1iPvZXXhIEH2U+q1AV7ujMZz6Hs2D/sHhqPiBtEDXdmGm+5Z6BmVjZZr63nM3HUBVkvv1YWS82UGG+gkRn4vUWXb7z3zjUeo9XvqOh2sUvClK+T90eEYQNSb4hGapvWxI8vj08ZCffMRi+Duq3lejvLz7xqTzxOP1CPpNTqKsc/E0+2lQwlAF7VD5EcmuS2PNZPn5zh38yZ18+pzTQ1C5qYj6aGCx6pB1lPpYmsLYzzmc+9gdvrJ98aj5e2udMEYhpvrNMpfmKxWa+D4EaoQv/Y74u4erIrjhhvkaPQPjJ51y+P/bLcw1iV754zBIE6t9RvumLztFOwUi+wJp2m9uNO74hyNkffnoWvsFZTFe8TDA+7GE1tEEaQz5ctVZ/sQtOPgeYuR+lfFQ+EjlR+aLwWT77QZfeDmFfPmQBCCu5ZmI+71e7TNQaZT5/hqSk5sxnPpiMdssvfWo+UgreSEZ5ab4SjCK62bNmvp81k7Dn62O+zd2492AlYb6NBO/kqMJcvlXGiuWZP1e+nuf/9dXAUb7YKIFzwYpIvuk+jGgXMTu+h37F0o9MFb6UfCRJL4YwPhWA9JXELUM+QoRYljAWTj4c3YiPx31UPkBi7Q9n7lk+zg0KfXlcXz6XjIad1GNiPhFHBibiF2U+5ztmIl3KZz4GzGqrUXtqPuIBstRqh2m+mV/u+HLuZr7koj9oAFhkvo2D1JQiwGG+hsJMhpVLXr526K3h2xFZvgHxDaPX01O+bOI6/AklTb4e47/hsp1CvsaqnXdDJjC+YD4+a+PNEz5SJsLhLBE6PkyNr7GwmUc+YzMBWuwWUT6xpaAKEWNWPpoMqsTDsVs+lFVAOa2BYD5A1MgBAyxjPkt7Sfvq12U+5htQiliFaD6wjOUHn3hpvmxrEcTA3Ga+l+hvRdtEZL6MvLZT06xhvleTa25wJl6+9wRqs2PvWL7E+gucvbRTvjJVfAxx7ky+9pX94UNvQr4f2CEBZLUvvqMkXvULtBQ+TRauc0Y4Oj48CUqZNqRHPhpDD1MQGFE+lGkf59NgVj4Pr5KyLK1bPtS9cNDHfmA+oF+XjxApYz6LDryfYdVlPld8+gN7g2g+l+2aD9Jnab48+Arn8chmvroL/Y+ULmS+ZdMwyEmVYb6GP99nP/ddvsjM8wTvwVi+emDkWHCKU76MgCJ5KaJMvlWjH2HzLEK+LnU0hl/ZLr6CEdKm4QcWPufO/lSIcjo+Un1OauCzRz7Wz1r9thlRPg9/GymdXVY+bc/YUASnWz6eji/MUHtgPqp5xQBAJmM+KVtzCRXUZT4YetQADIRoPs0xL0+RV2m+XTqjs/e1Zr4s6TKEshhkvj6EvK5AfWG+BRhXUNzEXb4ieU2pTo9Yvkn6OZJjWVO+4otz2nVGTL6TvKQmetpBvlIeSa5Rvy2+AYnxevbHFz68nsc7KsE6P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       "  var render_items = [{\"docid\":\"223d16a8-1d77-4e21-8dfe-bc463ca84905\",\"roots\":{\"p1628\":\"a6ee8330-c9bd-4940-b76f-462221358508\"},\"root_ids\":[\"p1628\"]}];\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": [
       ":DynamicMap   [t]\n",
       "   :Overlay\n",
       "      .Image.I       :Image   [x,y]   (field)\n",
       "      .VectorField.I :VectorField   [x,y]   (angle,mag)"
      ]
     },
     "execution_count": 20,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1628"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive.register_callback(lambda field: field.orientation).hv(kdims=[\"x\", \"y\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4ccb2b0-b472-4d5b-b160-7532aae46cf9",
   "metadata": {},
   "source": [
    "### Topological charge density - example 1\n",
    "To give a second example, we compute the topological charge density in the xy plane. This operation is implemented in `discretisedfield.tools`. However, `discretisedfield.tools.topological_charge_density` can only work on a single plane. Therefore, we first select one plane in the z direction and afterwards compute the topological charge density.\n",
    "\n",
    "Here, we first create a new object and afterwards plot it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ca4dc784-22d3-4250-8c83-f2d8fcc52f37",
   "metadata": {},
   "outputs": [],
   "source": [
    "time_drive_tcd_1 = time_drive.register_callback(\n",
    "    lambda field: dft.topological_charge_density(field.sel(\"z\"))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "04f58ac8-f062-44b7-a9ae-80a263ec9eb4",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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       "<script type=\"application/javascript\">(function(root) {\n",
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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\":\"d1b22e6d-1a81-45c2-b134-36cb7432b0e5\",\"roots\":{\"p1727\":\"b053dd35-8f59-4bb2-8978-abd325e60404\"},\"root_ids\":[\"p1727\"]}];\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": [
       ":DynamicMap   [t]\n",
       "   :Image   [x,y]   (field)"
      ]
     },
     "execution_count": 22,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1727"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive_tcd_1.hv.scalar(kdims=[\"x\", \"y\"], cmap=\"plasma\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "872bbb7e-faf2-4927-a65e-fdd299503cad",
   "metadata": {},
   "source": [
    "### Topological charge density - example 2\n",
    "\n",
    "If multiple callbacks are registered, these will be applied one after another in the order that they have been registered. Do demonstrate this, we repeat the example of the topological charge density in two steps:\n",
    "\n",
    "1. We select a xy single plane\n",
    "2. We compute the topological charge density on that plane\n",
    "\n",
    "Furthermore, we define our functions outside the `register_callback` method in this example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "08e7093b-45a4-45bf-a384-2221bf62bfa6",
   "metadata": {
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
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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\":\"6808f9d7-6081-4636-aee3-7b81856cda0e\",\"roots\":{\"p1807\":\"e0e6b9af-1ad8-4e2b-a39a-f4332b9c0feb\"},\"root_ids\":[\"p1807\"]}];\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": [
       ":DynamicMap   [t]\n",
       "   :Image   [x,y]   (field)"
      ]
     },
     "execution_count": 23,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1807"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def select_plane(field):\n",
    "    return field.sel(\"z\")\n",
    "\n",
    "\n",
    "def topological_charge_density(field):\n",
    "    return dft.topological_charge_density(field)\n",
    "\n",
    "\n",
    "time_drive_tcd_2 = time_drive.register_callback(select_plane)\n",
    "time_drive_tcd_2 = time_drive_tcd_2.register_callback(topological_charge_density)\n",
    "time_drive_tcd_2.hv.scalar(kdims=[\"x\", \"y\"], cmap=\"plasma\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac0643e9-32aa-4941-9d41-7121fa797f1e",
   "metadata": {},
   "source": [
    "It is possible to display all callbacks, as follows. Note however, that this information is difficult to read when using lambda funtions as their names are not very explanatory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "af8d975a-43cb-441b-9458-4be5fc0c7f1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<function __main__.select_plane(field)>,\n",
       " <function __main__.topological_charge_density(field)>]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_drive_tcd_2.callbacks"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20421bee-4c51-4e2b-b7b9-db3e969a2c00",
   "metadata": {},
   "source": [
    "## Hysteresis simulation\n",
    "\n",
    "TODO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "176270e2-159c-46f2-8008-34f41b2c0646",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = md.Data(name=\"hysteresis\", dirname=dirname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b22dbc9d-eb51-4201-a99f-8f9c8ac6f323",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>drive_number</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>driver</th>\n",
       "      <th>Hmin</th>\n",
       "      <th>Hmax</th>\n",
       "      <th>n</th>\n",
       "      <th>n_threads</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>2023-11-07</td>\n",
       "      <td>09:47:34</td>\n",
       "      <td>HysteresisDriver</td>\n",
       "      <td>[0, 0, -795774.7154594767]</td>\n",
       "      <td>[0, 0, 795774.7154594767]</td>\n",
       "      <td>21</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   drive_number        date      time            driver  \\\n",
       "0             0  2023-11-07  09:47:34  HysteresisDriver   \n",
       "\n",
       "                         Hmin                       Hmax   n n_threads  \n",
       "0  [0, 0, -795774.7154594767]  [0, 0, 795774.7154594767]  21      None  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd80c95c-c62b-45a4-8669-30511e37b8cb",
   "metadata": {},
   "source": [
    "### Time evolution of the magnetisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ab69bf55-f052-40e3-aaa3-9d3a8318953a",
   "metadata": {},
   "outputs": [],
   "source": [
    "drive = data[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f900af18-4d37-4159-91d7-8f194a5f4978",
   "metadata": {},
   "source": [
    "We first create a plot for the averaged magnetisation components to better understand the behaviour of the system. We can see a damped precession in x and y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "26854f3e-df64-487b-ba4c-a1cb7f4fd96c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "drive.table.mpl(x=\"Bz_hysteresis\", y=[\"mz\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "336de194-6d1e-40bd-befd-afcc7e30441a",
   "metadata": {},
   "source": [
    "We can also create an interactive plot for the full magnetisation.\n",
    "\n",
    "Note: we have to change the independent variable `drive.x` to the iteration (`stage`) to be able to see the full loop. The default value (`B_hysteresis`) is not unique."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a5ac7220-fb24-4510-9e6e-8ecf8eaabfa1",
   "metadata": {},
   "outputs": [],
   "source": [
    "drive.x = \"stage\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "75567608-dc39-485b-b2b9-1694bbf10c06",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "nbval-ignore-output"
    ]
   },
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
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400px));\\n}\",{\"id\":\"p1890\"},{\"id\":\"p1888\"},{\"id\":\"p1889\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1973\",\"attributes\":{\"plot_id\":\"p1887\",\"comm_id\":\"d4a092787f804f0b848a762a6e55c016\",\"client_comm_id\":\"1c1550c5cbeb40ce94542424d8b9e78e\"}}],\"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\":\"2eb06189-7c3b-42a3-963e-df6c9e261229\",\"roots\":{\"p1887\":\"c677d775-9aa2-47dc-8c2c-f41a891a962b\"},\"root_ids\":[\"p1887\"]}];\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": [
       ":DynamicMap   [y,stage]\n",
       "   :Image   [x,z]   (field)"
      ]
     },
     "execution_count": 30,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1887"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Ms = np.max(np.abs(drive.m0.norm.array))\n",
    "\n",
    "drive.register_callback(lambda field: field.z).hv(\n",
    "    kdims=[\"x\", \"z\"], scalar_kw={\"clim\": (-Ms, Ms)}\n",
    ")"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
   "version": "3.10.12"
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  "toc-autonumbering": false,
  "toc-showcode": false,
  "toc-showmarkdowntxt": false
 },
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 "nbformat_minor": 5
}