{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.1.1'.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/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.holoviz.org/panel/1.1.1/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      Bokeh = root.Bokeh;\n      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "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(> .cell-output-ipywidget-background\n",
       "    > .lm-Widget\n",
       "    > *[data-root-id]),\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 pipeline\n",
    "import settings\n",
    "from sqlalchemy import create_engine\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "import api\n",
    "import table_schema as ts\n",
    "import db_operation as db\n",
    "import numpy as np\n",
    "import utils\n",
    "import hvplot.pandas  # noqa\n",
    "pd.options.plotting.backend = 'holoviews'\n",
    "db_url = 'sqlite:///instance/local.db'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipeline.left_fill_benchmark_profile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipeline.right_fill_bechmark_profile()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "benchmark_df = db.get_all_benchmark_profile()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>date</th>\n",
       "      <th>weight</th>\n",
       "      <th>display_name</th>\n",
       "      <th>ticker</th>\n",
       "      <th>sector</th>\n",
       "      <th>aggregate_sector</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.345</td>\n",
       "      <td>中国宝安</td>\n",
       "      <td>000009.XSHE</td>\n",
       "      <td>电气设备I 电池II 电池化学品III 综合 工业集团企业 工业</td>\n",
       "      <td>工业</td>\n",
       "      <td>ZGBA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.122</td>\n",
       "      <td>南玻A</td>\n",
       "      <td>000012.XSHE</td>\n",
       "      <td>建筑材料I 玻璃制造II 玻璃制造III 非金属矿物制品业 玻璃 原材料</td>\n",
       "      <td>原料与能源</td>\n",
       "      <td>NBA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.264</td>\n",
       "      <td>深科技</td>\n",
       "      <td>000021.XSHE</td>\n",
       "      <td>电子I 电子制造II 消费电子零部件及组装III 计算机、通信和其他电子设备制造业 安防设备...</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>SKJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.060</td>\n",
       "      <td>招商港口</td>\n",
       "      <td>001872.XSHE</td>\n",
       "      <td>交通运输I 航运港口II 港口III 水上运输业 港口 工业</td>\n",
       "      <td>工业</td>\n",
       "      <td>ZSGK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.142</td>\n",
       "      <td>深圳能源</td>\n",
       "      <td>000027.XSHE</td>\n",
       "      <td>公用事业I 电力II 火电III 电力、热力生产和供应业 火电 公用事业</td>\n",
       "      <td>公用事业</td>\n",
       "      <td>SZNY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.085</td>\n",
       "      <td>天岳先进</td>\n",
       "      <td>688234.XSHG</td>\n",
       "      <td>电子I 半导体II 半导体材料III 计算机、通信和其他电子设备制造业 半导体材料 信息技术</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>TYXJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.041</td>\n",
       "      <td>南网科技</td>\n",
       "      <td>688248.XSHG</td>\n",
       "      <td>电气设备I 电网设备II 电网自动化III 专业技术服务业 电网自动化 工业</td>\n",
       "      <td>工业</td>\n",
       "      <td>NWKJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.040</td>\n",
       "      <td>中复神鹰</td>\n",
       "      <td>688295.XSHG</td>\n",
       "      <td>化工I 化学纤维II 其他纤维III 化学纤维制造业 氨纶及其他化纤 原材料</td>\n",
       "      <td>原料与能源</td>\n",
       "      <td>ZFSY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.182</td>\n",
       "      <td>拓荆科技</td>\n",
       "      <td>688072.XSHG</td>\n",
       "      <td>电子I 半导体II 半导体设备III 专用设备制造业 半导体设备 信息技术</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>TJKJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>0.078</td>\n",
       "      <td>首创证券</td>\n",
       "      <td>601136.XSHG</td>\n",
       "      <td>非银金融I 证券II 证券III 资本市场服务 证券公司 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>SCZQ</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  weight display_name       ticker  \\\n",
       "0   2023-07-31   0.345         中国宝安  000009.XSHE   \n",
       "1   2023-07-31   0.122          南玻A  000012.XSHE   \n",
       "2   2023-07-31   0.264          深科技  000021.XSHE   \n",
       "3   2023-07-31   0.060         招商港口  001872.XSHE   \n",
       "4   2023-07-31   0.142         深圳能源  000027.XSHE   \n",
       "..         ...     ...          ...          ...   \n",
       "495 2023-07-31   0.085         天岳先进  688234.XSHG   \n",
       "496 2023-07-31   0.041         南网科技  688248.XSHG   \n",
       "497 2023-07-31   0.040         中复神鹰  688295.XSHG   \n",
       "498 2023-07-31   0.182         拓荆科技  688072.XSHG   \n",
       "499 2023-07-31   0.078         首创证券  601136.XSHG   \n",
       "\n",
       "                                                sector aggregate_sector  name  \n",
       "0                     电气设备I 电池II 电池化学品III 综合 工业集团企业 工业               工业  ZGBA  \n",
       "1                 建筑材料I 玻璃制造II 玻璃制造III 非金属矿物制品业 玻璃 原材料            原料与能源   NBA  \n",
       "2    电子I 电子制造II 消费电子零部件及组装III 计算机、通信和其他电子设备制造业 安防设备...            信息与通信   SKJ  \n",
       "3                       交通运输I 航运港口II 港口III 水上运输业 港口 工业               工业  ZSGK  \n",
       "4                 公用事业I 电力II 火电III 电力、热力生产和供应业 火电 公用事业             公用事业  SZNY  \n",
       "..                                                 ...              ...   ...  \n",
       "495     电子I 半导体II 半导体材料III 计算机、通信和其他电子设备制造业 半导体材料 信息技术            信息与通信  TYXJ  \n",
       "496             电气设备I 电网设备II 电网自动化III 专业技术服务业 电网自动化 工业               工业  NWKJ  \n",
       "497             化工I 化学纤维II 其他纤维III 化学纤维制造业 氨纶及其他化纤 原材料            原料与能源  ZFSY  \n",
       "498              电子I 半导体II 半导体设备III 专用设备制造业 半导体设备 信息技术            信息与通信  TJKJ  \n",
       "499                    非银金融I 证券II 证券III 资本市场服务 证券公司 金融            金融与地产  SCZQ  \n",
       "\n",
       "[500 rows x 7 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "benchmark_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[15], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m benchmark_df\u001b[39m.\u001b[39mhvplot\u001b[39m.\u001b[39mline(x\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mdate\u001b[39m\u001b[39m'\u001b[39m,y\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mweight\u001b[39m\u001b[39m'\u001b[39m,by\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mticker\u001b[39m\u001b[39m'\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/displayhook.py:268\u001b[0m, in \u001b[0;36mDisplayHook.__call__\u001b[0;34m(self, result)\u001b[0m\n\u001b[1;32m    266\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstart_displayhook()\n\u001b[1;32m    267\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwrite_output_prompt()\n\u001b[0;32m--> 268\u001b[0m format_dict, md_dict \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcompute_format_data(result)\n\u001b[1;32m    269\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mupdate_user_ns(result)\n\u001b[1;32m    270\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfill_exec_result(result)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/displayhook.py:157\u001b[0m, in \u001b[0;36mDisplayHook.compute_format_data\u001b[0;34m(self, result)\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcompute_format_data\u001b[39m(\u001b[39mself\u001b[39m, result):\n\u001b[1;32m    128\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\"Compute format data of the object to be displayed.\u001b[39;00m\n\u001b[1;32m    129\u001b[0m \n\u001b[1;32m    130\u001b[0m \u001b[39m    The format data is a generalization of the :func:`repr` of an object.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    155\u001b[0m \n\u001b[1;32m    156\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 157\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mshell\u001b[39m.\u001b[39;49mdisplay_formatter\u001b[39m.\u001b[39;49mformat(result)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/formatters.py:149\u001b[0m, in \u001b[0;36mDisplayFormatter.format\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    145\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mipython_display_formatter(obj):\n\u001b[1;32m    146\u001b[0m     \u001b[39m# object handled itself, don't proceed\u001b[39;00m\n\u001b[1;32m    147\u001b[0m     \u001b[39mreturn\u001b[39;00m {}, {}\n\u001b[0;32m--> 149\u001b[0m format_dict, md_dict \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mmimebundle_formatter(obj, include\u001b[39m=\u001b[39;49minclude, exclude\u001b[39m=\u001b[39;49mexclude)\n\u001b[1;32m    151\u001b[0m \u001b[39mif\u001b[39;00m format_dict \u001b[39mor\u001b[39;00m md_dict:\n\u001b[1;32m    152\u001b[0m     \u001b[39mif\u001b[39;00m include:\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/decorator.py:232\u001b[0m, in \u001b[0;36mdecorate.<locals>.fun\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m    230\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m kwsyntax:\n\u001b[1;32m    231\u001b[0m     args, kw \u001b[39m=\u001b[39m fix(args, kw, sig)\n\u001b[0;32m--> 232\u001b[0m \u001b[39mreturn\u001b[39;00m caller(func, \u001b[39m*\u001b[39;49m(extras \u001b[39m+\u001b[39;49m args), \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkw)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/formatters.py:223\u001b[0m, in \u001b[0;36mcatch_format_error\u001b[0;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    221\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"show traceback on failed format call\"\"\"\u001b[39;00m\n\u001b[1;32m    222\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 223\u001b[0m     r \u001b[39m=\u001b[39m method(\u001b[39mself\u001b[39;49m, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m    224\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mNotImplementedError\u001b[39;00m:\n\u001b[1;32m    225\u001b[0m     \u001b[39m# don't warn on NotImplementedErrors\u001b[39;00m\n\u001b[1;32m    226\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_check_return(\u001b[39mNone\u001b[39;00m, args[\u001b[39m0\u001b[39m])\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/IPython/core/formatters.py:974\u001b[0m, in \u001b[0;36mMimeBundleFormatter.__call__\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    971\u001b[0m     method \u001b[39m=\u001b[39m get_real_method(obj, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprint_method)\n\u001b[1;32m    973\u001b[0m     \u001b[39mif\u001b[39;00m method \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 974\u001b[0m         \u001b[39mreturn\u001b[39;00m method(include\u001b[39m=\u001b[39;49minclude, exclude\u001b[39m=\u001b[39;49mexclude)\n\u001b[1;32m    975\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m    976\u001b[0m \u001b[39melse\u001b[39;00m:\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/core/dimension.py:1290\u001b[0m, in \u001b[0;36mDimensioned._repr_mimebundle_\u001b[0;34m(self, include, exclude)\u001b[0m\n\u001b[1;32m   1283\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_repr_mimebundle_\u001b[39m(\u001b[39mself\u001b[39m, include\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, exclude\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m   1284\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m   1285\u001b[0m \u001b[39m    Resolves the class hierarchy for the class rendering the\u001b[39;00m\n\u001b[1;32m   1286\u001b[0m \u001b[39m    object using any display hooks registered on Store.display\u001b[39;00m\n\u001b[1;32m   1287\u001b[0m \u001b[39m    hooks.  The output of all registered display_hooks is then\u001b[39;00m\n\u001b[1;32m   1288\u001b[0m \u001b[39m    combined and returned.\u001b[39;00m\n\u001b[1;32m   1289\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1290\u001b[0m     \u001b[39mreturn\u001b[39;00m Store\u001b[39m.\u001b[39;49mrender(\u001b[39mself\u001b[39;49m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/core/options.py:1425\u001b[0m, in \u001b[0;36mStore.render\u001b[0;34m(cls, obj)\u001b[0m\n\u001b[1;32m   1423\u001b[0m data, metadata \u001b[39m=\u001b[39m {}, {}\n\u001b[1;32m   1424\u001b[0m \u001b[39mfor\u001b[39;00m hook \u001b[39min\u001b[39;00m hooks:\n\u001b[0;32m-> 1425\u001b[0m     ret \u001b[39m=\u001b[39m hook(obj)\n\u001b[1;32m   1426\u001b[0m     \u001b[39mif\u001b[39;00m ret \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m   1427\u001b[0m         \u001b[39mcontinue\u001b[39;00m\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:280\u001b[0m, in \u001b[0;36mpprint_display\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m    278\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m ip\u001b[39m.\u001b[39mdisplay_formatter\u001b[39m.\u001b[39mformatters[\u001b[39m'\u001b[39m\u001b[39mtext/plain\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39mpprint:\n\u001b[1;32m    279\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 280\u001b[0m \u001b[39mreturn\u001b[39;00m display(obj, raw_output\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:248\u001b[0m, in \u001b[0;36mdisplay\u001b[0;34m(obj, raw_output, **kwargs)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, (CompositeOverlay, ViewableElement)):\n\u001b[1;32m    247\u001b[0m     \u001b[39mwith\u001b[39;00m option_state(obj):\n\u001b[0;32m--> 248\u001b[0m         output \u001b[39m=\u001b[39m element_display(obj)\n\u001b[1;32m    249\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, (Layout, NdLayout, AdjointLayout)):\n\u001b[1;32m    250\u001b[0m     \u001b[39mwith\u001b[39;00m option_state(obj):\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:142\u001b[0m, in \u001b[0;36mdisplay_hook.<locals>.wrapped\u001b[0;34m(element)\u001b[0m\n\u001b[1;32m    140\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m    141\u001b[0m     max_frames \u001b[39m=\u001b[39m OutputSettings\u001b[39m.\u001b[39moptions[\u001b[39m'\u001b[39m\u001b[39mmax_frames\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m--> 142\u001b[0m     mimebundle \u001b[39m=\u001b[39m fn(element, max_frames\u001b[39m=\u001b[39;49mmax_frames)\n\u001b[1;32m    143\u001b[0m     \u001b[39mif\u001b[39;00m mimebundle \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    144\u001b[0m         \u001b[39mreturn\u001b[39;00m {}, {}\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:188\u001b[0m, in \u001b[0;36melement_display\u001b[0;34m(element, max_frames)\u001b[0m\n\u001b[1;32m    185\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mtype\u001b[39m(element) \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m Store\u001b[39m.\u001b[39mregistry[backend]:\n\u001b[1;32m    186\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 188\u001b[0m \u001b[39mreturn\u001b[39;00m render(element)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:69\u001b[0m, in \u001b[0;36mrender\u001b[0;34m(obj, **kwargs)\u001b[0m\n\u001b[1;32m     66\u001b[0m \u001b[39mif\u001b[39;00m renderer\u001b[39m.\u001b[39mfig \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mpdf\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[1;32m     67\u001b[0m     renderer \u001b[39m=\u001b[39m renderer\u001b[39m.\u001b[39minstance(fig\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mpng\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m---> 69\u001b[0m \u001b[39mreturn\u001b[39;00m renderer\u001b[39m.\u001b[39;49mcomponents(obj, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/plotting/renderer.py:399\u001b[0m, in \u001b[0;36mRenderer.components\u001b[0;34m(self, obj, fmt, comm, **kwargs)\u001b[0m\n\u001b[1;32m    396\u001b[0m embed \u001b[39m=\u001b[39m (\u001b[39mnot\u001b[39;00m (dynamic \u001b[39mor\u001b[39;00m streams \u001b[39mor\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mwidget_mode \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mlive\u001b[39m\u001b[39m'\u001b[39m) \u001b[39mor\u001b[39;00m config\u001b[39m.\u001b[39membed)\n\u001b[1;32m    398\u001b[0m \u001b[39mif\u001b[39;00m embed \u001b[39mor\u001b[39;00m config\u001b[39m.\u001b[39mcomms \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mdefault\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[0;32m--> 399\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_render_panel(plot, embed, comm)\n\u001b[1;32m    400\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_render_ipywidget(plot)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/holoviews/plotting/renderer.py:408\u001b[0m, in \u001b[0;36mRenderer._render_panel\u001b[0;34m(self, plot, embed, comm)\u001b[0m\n\u001b[1;32m    406\u001b[0m     model \u001b[39m=\u001b[39m plot\u001b[39m.\u001b[39mlayout\u001b[39m.\u001b[39m_render_model(doc, comm)\n\u001b[1;32m    407\u001b[0m \u001b[39mif\u001b[39;00m embed:\n\u001b[0;32m--> 408\u001b[0m     \u001b[39mreturn\u001b[39;00m render_model(model, comm)\n\u001b[1;32m    409\u001b[0m ref \u001b[39m=\u001b[39m model\u001b[39m.\u001b[39mref[\u001b[39m'\u001b[39m\u001b[39mid\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[1;32m    410\u001b[0m manager \u001b[39m=\u001b[39m PnCommManager(comm_id\u001b[39m=\u001b[39mcomm\u001b[39m.\u001b[39mid, plot_id\u001b[39m=\u001b[39mref)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/panel/io/notebook.py:178\u001b[0m, in \u001b[0;36mrender_model\u001b[0;34m(model, comm, resources)\u001b[0m\n\u001b[1;32m    175\u001b[0m     patch_model_css(model, dist_url\u001b[39m=\u001b[39mdist_url)\n\u001b[1;32m    176\u001b[0m     model\u001b[39m.\u001b[39mdocument\u001b[39m.\u001b[39m_template_variables[\u001b[39m'\u001b[39m\u001b[39mdist_url\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m dist_url\n\u001b[0;32m--> 178\u001b[0m (docs_json, [render_item]) \u001b[39m=\u001b[39m standalone_docs_json_and_render_items([model], suppress_callback_warning\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n\u001b[1;32m    179\u001b[0m div \u001b[39m=\u001b[39m div_for_render_item(render_item)\n\u001b[1;32m    180\u001b[0m render_json \u001b[39m=\u001b[39m render_item\u001b[39m.\u001b[39mto_json()\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/embed/util.py:330\u001b[0m, in \u001b[0;36mstandalone_docs_json_and_render_items\u001b[0;34m(models, suppress_callback_warning)\u001b[0m\n\u001b[1;32m    328\u001b[0m docs_json: \u001b[39mdict\u001b[39m[ID, DocJson] \u001b[39m=\u001b[39m {}\n\u001b[1;32m    329\u001b[0m \u001b[39mfor\u001b[39;00m doc, (docid, _) \u001b[39min\u001b[39;00m docs\u001b[39m.\u001b[39mitems():\n\u001b[0;32m--> 330\u001b[0m     docs_json[docid] \u001b[39m=\u001b[39m doc\u001b[39m.\u001b[39;49mto_json(deferred\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m)\n\u001b[1;32m    332\u001b[0m render_items: \u001b[39mlist\u001b[39m[RenderItem] \u001b[39m=\u001b[39m []\n\u001b[1;32m    333\u001b[0m \u001b[39mfor\u001b[39;00m _, (docid, roots) \u001b[39min\u001b[39;00m docs\u001b[39m.\u001b[39mitems():\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/document/document.py:737\u001b[0m, in \u001b[0;36mDocument.to_json\u001b[0;34m(self, deferred)\u001b[0m\n\u001b[1;32m    735\u001b[0m serializer \u001b[39m=\u001b[39m Serializer(deferred\u001b[39m=\u001b[39mdeferred)\n\u001b[1;32m    736\u001b[0m defs \u001b[39m=\u001b[39m serializer\u001b[39m.\u001b[39mencode(data_models)\n\u001b[0;32m--> 737\u001b[0m roots \u001b[39m=\u001b[39m serializer\u001b[39m.\u001b[39;49mencode(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_roots)\n\u001b[1;32m    738\u001b[0m callbacks \u001b[39m=\u001b[39m serializer\u001b[39m.\u001b[39mencode(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcallbacks\u001b[39m.\u001b[39m_js_event_callbacks)\n\u001b[1;32m    740\u001b[0m doc_json \u001b[39m=\u001b[39m DocJson(\n\u001b[1;32m    741\u001b[0m     version\u001b[39m=\u001b[39m__version__,\n\u001b[1;32m    742\u001b[0m     title\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtitle,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    745\u001b[0m     callbacks\u001b[39m=\u001b[39mcallbacks,\n\u001b[1;32m    746\u001b[0m )\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    275\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m    276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m    278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m    279\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m    260\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m         \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m    262\u001b[0m     \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    263\u001b[0m         \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m    523\u001b[0m     serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m     super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m    526\u001b[0m     rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m    527\u001b[0m         \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    528\u001b[0m         name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m    529\u001b[0m         \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m    530\u001b[0m     )\n\u001b[1;32m    532\u001b[0m     attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m    401\u001b[0m     \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    402\u001b[0m     name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m    403\u001b[0m )\n\u001b[1;32m    405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;49;00m key, val \u001b[39min\u001b[39;49;00m properties\u001b[39m.\u001b[39;49mitems()}\n\u001b[1;32m    408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m    409\u001b[0m     rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36m<dictcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m    401\u001b[0m     \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    402\u001b[0m     name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m    403\u001b[0m )\n\u001b[1;32m    405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m    408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m    409\u001b[0m     rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    275\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m    276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m    278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m    279\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m    260\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m         \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m    262\u001b[0m     \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    263\u001b[0m         \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m    523\u001b[0m     serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m     super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m    526\u001b[0m     rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m    527\u001b[0m         \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    528\u001b[0m         name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m    529\u001b[0m         \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m    530\u001b[0m     )\n\u001b[1;32m    532\u001b[0m     attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m    401\u001b[0m     \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    402\u001b[0m     name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m    403\u001b[0m )\n\u001b[1;32m    405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;49;00m key, val \u001b[39min\u001b[39;49;00m properties\u001b[39m.\u001b[39;49mitems()}\n\u001b[1;32m    408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m    409\u001b[0m     rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36m<dictcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m    401\u001b[0m     \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    402\u001b[0m     name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m    403\u001b[0m )\n\u001b[1;32m    405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m    408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m    409\u001b[0m     rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    275\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m    276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m    278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m    279\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m    260\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m         \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m    262\u001b[0m     \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    263\u001b[0m         \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m    523\u001b[0m     serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m     super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m    526\u001b[0m     rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m    527\u001b[0m         \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    528\u001b[0m         name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m    529\u001b[0m         \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m    530\u001b[0m     )\n\u001b[1;32m    532\u001b[0m     attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m    401\u001b[0m     \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    402\u001b[0m     name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m    403\u001b[0m )\n\u001b[1;32m    405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;49;00m key, val \u001b[39min\u001b[39;49;00m properties\u001b[39m.\u001b[39;49mitems()}\n\u001b[1;32m    408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m    409\u001b[0m     rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:406\u001b[0m, in \u001b[0;36m<dictcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    400\u001b[0m rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m    401\u001b[0m     \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    402\u001b[0m     name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m    403\u001b[0m )\n\u001b[1;32m    405\u001b[0m properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperties_with_values(include_defaults\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m--> 406\u001b[0m attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39;49mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m    408\u001b[0m \u001b[39mif\u001b[39;00m attributes:\n\u001b[1;32m    409\u001b[0m     rep[\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m attributes\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:277\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    275\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_tuple(obj)\n\u001b[1;32m    276\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mlist\u001b[39m):\n\u001b[0;32m--> 277\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode_list(obj)\n\u001b[1;32m    278\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, \u001b[39mset\u001b[39m):\n\u001b[1;32m    279\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encode_set(obj)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36mSerializer._encode_list\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;49;00m item \u001b[39min\u001b[39;49;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:323\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    322\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode_list\u001b[39m(\u001b[39mself\u001b[39m, obj: \u001b[39mlist\u001b[39m[Any]) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ArrayRepLike:\n\u001b[0;32m--> 323\u001b[0m     \u001b[39mreturn\u001b[39;00m [\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mencode(item) \u001b[39mfor\u001b[39;00m item \u001b[39min\u001b[39;00m obj]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:252\u001b[0m, in \u001b[0;36mSerializer.encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident] \u001b[39m=\u001b[39m obj\n\u001b[1;32m    251\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 252\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_encode(obj)\n\u001b[1;32m    253\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m    254\u001b[0m     \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_circular[ident]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/serialization.py:261\u001b[0m, in \u001b[0;36mSerializer._encode\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_encode\u001b[39m(\u001b[39mself\u001b[39m, obj: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m AnyRep:\n\u001b[1;32m    260\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(obj, Serializable):\n\u001b[0;32m--> 261\u001b[0m         \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39;49mto_serializable(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m    262\u001b[0m     \u001b[39melif\u001b[39;00m (encoder \u001b[39m:=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_encoders\u001b[39m.\u001b[39mget(\u001b[39mtype\u001b[39m(obj))) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    263\u001b[0m         \u001b[39mreturn\u001b[39;00m encoder(obj, \u001b[39mself\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/model/model.py:525\u001b[0m, in \u001b[0;36mModel.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    522\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRefRep:\n\u001b[1;32m    523\u001b[0m     serializer\u001b[39m.\u001b[39madd_ref(\u001b[39mself\u001b[39m, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mref)\n\u001b[0;32m--> 525\u001b[0m     super_rep \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mto_serializable(serializer)\n\u001b[1;32m    526\u001b[0m     rep \u001b[39m=\u001b[39m ObjectRefRep(\n\u001b[1;32m    527\u001b[0m         \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    528\u001b[0m         name\u001b[39m=\u001b[39msuper_rep[\u001b[39m\"\u001b[39m\u001b[39mname\u001b[39m\u001b[39m\"\u001b[39m],\n\u001b[1;32m    529\u001b[0m         \u001b[39mid\u001b[39m\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mid,\n\u001b[1;32m    530\u001b[0m     )\n\u001b[1;32m    532\u001b[0m     attributes \u001b[39m=\u001b[39m super_rep\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mattributes\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:405\u001b[0m, in \u001b[0;36mHasProps.to_serializable\u001b[0;34m(self, serializer)\u001b[0m\n\u001b[1;32m    399\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mto_serializable\u001b[39m(\u001b[39mself\u001b[39m, serializer: Serializer) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m ObjectRep:\n\u001b[1;32m    400\u001b[0m     rep \u001b[39m=\u001b[39m ObjectRep(\n\u001b[1;32m    401\u001b[0m         \u001b[39mtype\u001b[39m\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mobject\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m    402\u001b[0m         name\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__qualified_model__,\n\u001b[1;32m    403\u001b[0m     )\n\u001b[0;32m--> 405\u001b[0m     properties \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mproperties_with_values(include_defaults\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m)\n\u001b[1;32m    406\u001b[0m     attributes \u001b[39m=\u001b[39m {key: serializer\u001b[39m.\u001b[39mencode(val) \u001b[39mfor\u001b[39;00m key, val \u001b[39min\u001b[39;00m properties\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m    408\u001b[0m     \u001b[39mif\u001b[39;00m attributes:\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:592\u001b[0m, in \u001b[0;36mHasProps.properties_with_values\u001b[0;34m(self, include_defaults, include_undefined)\u001b[0m\n\u001b[1;32m    571\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mproperties_with_values\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39m*\u001b[39m, include_defaults: \u001b[39mbool\u001b[39m \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m, include_undefined: \u001b[39mbool\u001b[39m \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mdict\u001b[39m[\u001b[39mstr\u001b[39m, Any]:\n\u001b[1;32m    572\u001b[0m \u001b[39m    \u001b[39m\u001b[39m''' Collect a dict mapping property names to their values.\u001b[39;00m\n\u001b[1;32m    573\u001b[0m \n\u001b[1;32m    574\u001b[0m \u001b[39m    This method *always* traverses the class hierarchy and includes\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    590\u001b[0m \n\u001b[1;32m    591\u001b[0m \u001b[39m    '''\u001b[39;00m\n\u001b[0;32m--> 592\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mquery_properties_with_values(\u001b[39mlambda\u001b[39;49;00m prop: prop\u001b[39m.\u001b[39;49mserialized,\n\u001b[1;32m    593\u001b[0m         include_defaults\u001b[39m=\u001b[39;49minclude_defaults, include_undefined\u001b[39m=\u001b[39;49minclude_undefined)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/has_props.py:649\u001b[0m, in \u001b[0;36mHasProps.query_properties_with_values\u001b[0;34m(self, query, include_defaults, include_undefined)\u001b[0m\n\u001b[1;32m    646\u001b[0m     \u001b[39mcontinue\u001b[39;00m\n\u001b[1;32m    648\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m--> 649\u001b[0m     value \u001b[39m=\u001b[39m descriptor\u001b[39m.\u001b[39;49mget_value(\u001b[39mself\u001b[39;49m)\n\u001b[1;32m    650\u001b[0m \u001b[39mexcept\u001b[39;00m UnsetValueError:\n\u001b[1;32m    651\u001b[0m     \u001b[39mif\u001b[39;00m include_undefined:\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:395\u001b[0m, in \u001b[0;36mPropertyDescriptor.get_value\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    381\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mget_value\u001b[39m(\u001b[39mself\u001b[39m, obj: HasProps) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Any:\n\u001b[1;32m    382\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\" Produce the value used for serialization.\u001b[39;00m\n\u001b[1;32m    383\u001b[0m \n\u001b[1;32m    384\u001b[0m \u001b[39m    Sometimes it is desirable for the serialized value to differ from\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    393\u001b[0m \n\u001b[1;32m    394\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 395\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m\u001b[39m__get__\u001b[39;49m(obj, obj\u001b[39m.\u001b[39;49m\u001b[39m__class__\u001b[39;49m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:281\u001b[0m, in \u001b[0;36mPropertyDescriptor.__get__\u001b[0;34m(self, obj, owner)\u001b[0m\n\u001b[1;32m    247\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\" Implement the getter for the Python `descriptor protocol`_.\u001b[39;00m\n\u001b[1;32m    248\u001b[0m \n\u001b[1;32m    249\u001b[0m \u001b[39mFor instance attribute access, we delegate to the |Property|. For\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    278\u001b[0m \n\u001b[1;32m    279\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m    280\u001b[0m \u001b[39mif\u001b[39;00m obj \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 281\u001b[0m     value \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get(obj)\n\u001b[1;32m    282\u001b[0m     \u001b[39mif\u001b[39;00m value \u001b[39mis\u001b[39;00m Undefined:\n\u001b[1;32m    283\u001b[0m         \u001b[39mraise\u001b[39;00m UnsetValueError(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00mobj\u001b[39m}\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname\u001b[39m}\u001b[39;00m\u001b[39m doesn\u001b[39m\u001b[39m'\u001b[39m\u001b[39mt have a value set\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:515\u001b[0m, in \u001b[0;36mPropertyDescriptor._get\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    512\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mCannot get a property value \u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname\u001b[39m!r}\u001b[39;00m\u001b[39m from a \u001b[39m\u001b[39m{\u001b[39;00mclass_name\u001b[39m}\u001b[39;00m\u001b[39m instance before HasProps.__init__\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m    514\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m obj\u001b[39m.\u001b[39m_property_values:\n\u001b[0;32m--> 515\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_default(obj)\n\u001b[1;32m    516\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m    517\u001b[0m     \u001b[39mreturn\u001b[39;00m obj\u001b[39m.\u001b[39m_property_values[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname]\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:540\u001b[0m, in \u001b[0;36mPropertyDescriptor._get_default\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    537\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname \u001b[39min\u001b[39;00m unstable_dict:\n\u001b[1;32m    538\u001b[0m     \u001b[39mreturn\u001b[39;00m unstable_dict[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname]\n\u001b[0;32m--> 540\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mhas_unstable_default(obj):\n\u001b[1;32m    541\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(default, PropertyValueContainer):\n\u001b[1;32m    542\u001b[0m         default\u001b[39m.\u001b[39m_register_owner(obj, \u001b[39mself\u001b[39m)\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:484\u001b[0m, in \u001b[0;36mPropertyDescriptor.has_unstable_default\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    481\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mhas_unstable_default\u001b[39m(\u001b[39mself\u001b[39m, obj: HasProps) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mbool\u001b[39m:\n\u001b[1;32m    482\u001b[0m     \u001b[39m# _may_have_unstable_default() doesn't have access to overrides, so check manually\u001b[39;00m\n\u001b[1;32m    483\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mproperty\u001b[39m.\u001b[39m_may_have_unstable_default() \u001b[39mor\u001b[39;00m \\\n\u001b[0;32m--> 484\u001b[0m         \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mis_unstable(obj\u001b[39m.\u001b[39;49m__overridden_defaults__\u001b[39m.\u001b[39;49mget(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mname, \u001b[39mNone\u001b[39;49;00m))\n",
      "File \u001b[0;32m~/miniconda3/envs/risk-dashboard/lib/python3.11/site-packages/bokeh/core/property/descriptors.py:489\u001b[0m, in \u001b[0;36mPropertyDescriptor.is_unstable\u001b[0;34m(cls, value)\u001b[0m\n\u001b[1;32m    486\u001b[0m \u001b[39m@classmethod\u001b[39m\n\u001b[1;32m    487\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mis_unstable\u001b[39m(\u001b[39mcls\u001b[39m, value: Any) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m TypeGuard[Callable[[], Any]]:\n\u001b[1;32m    488\u001b[0m     \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39minstance\u001b[39;00m \u001b[39mimport\u001b[39;00m InstanceDefault\n\u001b[0;32m--> 489\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39misinstance\u001b[39;49m(value, (FunctionType, InstanceDefault))\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "benchmark_df.hvplot.line(x='date',y='weight',by='ticker')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# unique ticker list\n",
    "portfolio_p = db.get_all_portfolio_profile()\n",
    "ticker_list = portfolio_p['ticker'].unique().tolist()\n",
    "price_df = db.get_stocks_price(ticker_list)\n",
    "\n",
    "portfolio_p = db.get_all_portfolio_profile()\n",
    "## temperaraly handle rename date to time\n",
    "portfolio_p.rename(columns={'date': 'time','weight':'ini_w'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
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       "  <div id=\"f39cd3d1-ea05-4fe1-bc90-eebd095b171f\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"2dba74ca-c32b-4ed1-80b5-b109bd4ee5b9\":{\"version\":\"3.1.1\",\"title\":\"Bokeh 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      "text/plain": [
       ":NdOverlay   [ticker]\n",
       "   :Curve   [time]   (close)"
      ]
     },
     "execution_count": 4,
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      "application/vnd.holoviews_exec.v0+json": {
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   "source": [
    "price_df.hvplot.line(x='time', y='close', by='ticker', width=1000, height=400)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _uniformize_time_series(profile_df):\n",
    "    '''\n",
    "    a helper function to create analytic_df \n",
    "    \n",
    "    make each entry in the time series has the same dimension\n",
    "    by filling none holding stock that was held in previous period has 0 shares and 0 ini_w\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    profile_df : dataframe\n",
    "        portfolio profile dataframe or benchmark profile dataframe\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    dataframe\n",
    "        dataframe with uniformized time series\n",
    "    '''\n",
    "    # Get unique time periods\n",
    "    time_periods = profile_df['time'].unique()\n",
    "    time_periods = sorted(time_periods)\n",
    "\n",
    "    # Iterate through time periods\n",
    "    for i in range(len(time_periods) - 1):\n",
    "        current_period = time_periods[i]\n",
    "        next_period = time_periods[i + 1]\n",
    "        \n",
    "        current_df = profile_df[profile_df['time'] == current_period]\n",
    "        next_df = profile_df[profile_df['time'] == next_period]\n",
    "        \n",
    "        tickers_current = current_df['ticker']\n",
    "        tickers_next = next_df['ticker']\n",
    "        \n",
    "        # row that has ticker not in tickers_next\n",
    "        missing_tickers = current_df[~tickers_current.isin(tickers_next)].copy()\n",
    "        \n",
    "        if len(missing_tickers) != 0:\n",
    "            missing_tickers.time = next_period\n",
    "            missing_tickers.shares = 0\n",
    "            missing_tickers.ini_w = 0\n",
    "            profile_df = pd.concat([profile_df, missing_tickers], ignore_index=True)\n",
    "    # reset index\n",
    "    return profile_df.reset_index(drop=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a merged_df \n",
    "def create_analytic_df(price_df, profile_df):\n",
    "    '''\n",
    "    create a df for analysis processing\n",
    "\n",
    "\n",
    "    '''\n",
    "    uni_profile_df = _uniformize_time_series(profile_df)\n",
    "    #TODO handle rename column here\n",
    "    df = price_df.merge(uni_profile_df, on=['ticker','time'], how='outer')\n",
    "    df.sort_values(by=['ticker','time'], inplace=True)\n",
    "    # add sector, aggregate_sector, display_name and name to missing rows\n",
    "    grouped = df.groupby('ticker')\n",
    "    df['sector'] = grouped['sector'].fillna(method='ffill')\n",
    "    df['aggregate_sector'] = grouped['aggregate_sector'].fillna(method='ffill')\n",
    "    df['display_name'] = grouped['display_name'].fillna(method='ffill')\n",
    "    df['name'] = grouped['name'].fillna(method='ffill')\n",
    "\n",
    "    # assign missing ini_w\n",
    "    df['ini_w'] = grouped['ini_w'].fillna(method='ffill')\n",
    "    # assign missing shares\n",
    "    df['shares'] = grouped['shares'].fillna(method='ffill')\n",
    "    # remove profile and price entry before first profile entry from df\n",
    "    df.dropna(subset=['ini_w'], inplace=True)\n",
    "    df.dropna(subset=['close'], inplace=True)\n",
    "    # remove where weight is 0\n",
    "    df = df[df['shares'] != 0].copy()\n",
    "    return df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_weight_using_cash(df):\n",
    "    '''\n",
    "    patch df with current weight for each entry\n",
    "    use cash to calculate weight\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    df : dataframe\n",
    "        dataframe with processed cash column\n",
    "    \n",
    "    '''\n",
    "    df['cur_w'] = float('nan')\n",
    "    grouped = df.groupby('time')\n",
    "    df.cur_w = grouped.cash.transform(lambda x: x / x.sum())\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_cash(df):\n",
    "    '''\n",
    "    patch df with cash column\n",
    "    cash = shares * close\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    df : dataframe\n",
    "        dataframe with processed shares and close column\n",
    "    '''\n",
    "    df['cash'] = df['shares'] * df['close']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_return(df, start, end):\n",
    "    '''\n",
    "    calculate cumulative return for each entry in the df\n",
    "    '''\n",
    "    selected_df = df[df.time.between(start, end)].copy()\n",
    "    if len(selected_df) == 0:\n",
    "        return selected_df\n",
    "    selected_df.sort_values(by=['time'], inplace=True)\n",
    "    selected_df['return'] = selected_df.groupby('ticker')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
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       "  var render_items = [{\"docid\":\"26fafa6d-be32-4b23-9c51-ed09fc97232a\",\"roots\":{\"p1793\":\"ff12a280-217d-4ce2-8586-e6d2cd01cd74\"},\"root_ids\":[\"p1793\"]}];\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": [
       ":NdOverlay   [ticker]\n",
       "   :Curve   [time]   (cur_w)"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1793"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merged_df is sorted on time\n",
    "analytic_df = create_analytic_df(price_df, portfolio_p)\n",
    "calculate_cash(analytic_df)\n",
    "calculate_weight_using_cash(analytic_df)\n",
    "# analytic_df['pct'] = analytic_df.groupby('ticker')['close'].pct_change()\n",
    "# calculate weight\n",
    "# calculate_weight(analytic_df)\n",
    "analytic_df.hvplot.line(x='time', y='cur_w', by='ticker', width=500, height=400)\n",
    "# analytic_d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>ticker</th>\n",
       "      <th>open</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>volume</th>\n",
       "      <th>money</th>\n",
       "      <th>shares</th>\n",
       "      <th>sector</th>\n",
       "      <th>aggregate_sector</th>\n",
       "      <th>display_name</th>\n",
       "      <th>name</th>\n",
       "      <th>cash</th>\n",
       "      <th>ini_w</th>\n",
       "      <th>ave_price</th>\n",
       "      <th>cur_w</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>000877.XSHE</td>\n",
       "      <td>8.35</td>\n",
       "      <td>8.40</td>\n",
       "      <td>8.44</td>\n",
       "      <td>8.26</td>\n",
       "      <td>7357900.0</td>\n",
       "      <td>6.138507e+07</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>建筑材料I 水泥制造II 水泥制造III 非金属矿物制品业 水泥与混凝土 原材料</td>\n",
       "      <td>原料与能源</td>\n",
       "      <td>天山股份</td>\n",
       "      <td>TSGF</td>\n",
       "      <td>9240.0</td>\n",
       "      <td>0.007896</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>000877.XSHE</td>\n",
       "      <td>8.42</td>\n",
       "      <td>8.42</td>\n",
       "      <td>8.45</td>\n",
       "      <td>8.30</td>\n",
       "      <td>6000000.0</td>\n",
       "      <td>5.030405e+07</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>建筑材料I 水泥制造II 水泥制造III 非金属矿物制品业 水泥与混凝土 原材料</td>\n",
       "      <td>原料与能源</td>\n",
       "      <td>天山股份</td>\n",
       "      <td>TSGF</td>\n",
       "      <td>9262.0</td>\n",
       "      <td>0.007896</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.008128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>002202.XSHE</td>\n",
       "      <td>10.73</td>\n",
       "      <td>10.79</td>\n",
       "      <td>10.84</td>\n",
       "      <td>10.61</td>\n",
       "      <td>11395130.0</td>\n",
       "      <td>1.222121e+08</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>电气设备I 风电设备II 风电整机III 通用设备制造业 风电设备 工业</td>\n",
       "      <td>工业</td>\n",
       "      <td>金风科技</td>\n",
       "      <td>JFKJ</td>\n",
       "      <td>12948.0</td>\n",
       "      <td>0.003677</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>002202.XSHE</td>\n",
       "      <td>10.80</td>\n",
       "      <td>10.70</td>\n",
       "      <td>10.81</td>\n",
       "      <td>10.64</td>\n",
       "      <td>8332232.0</td>\n",
       "      <td>8.922860e+07</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>电气设备I 风电设备II 风电整机III 通用设备制造业 风电设备 工业</td>\n",
       "      <td>工业</td>\n",
       "      <td>金风科技</td>\n",
       "      <td>JFKJ</td>\n",
       "      <td>12840.0</td>\n",
       "      <td>0.003677</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>002271.XSHE</td>\n",
       "      <td>28.02</td>\n",
       "      <td>28.65</td>\n",
       "      <td>29.13</td>\n",
       "      <td>27.56</td>\n",
       "      <td>25064704.0</td>\n",
       "      <td>7.112971e+08</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>建筑材料I 其他建材II 防水材料III 非金属矿物制品业 建筑产品 工业</td>\n",
       "      <td>原料与能源</td>\n",
       "      <td>东方雨虹</td>\n",
       "      <td>DFYH</td>\n",
       "      <td>34380.0</td>\n",
       "      <td>0.025926</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.030301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>002271.XSHE</td>\n",
       "      <td>28.75</td>\n",
       "      <td>28.93</td>\n",
       "      <td>29.00</td>\n",
       "      <td>28.16</td>\n",
       "      <td>23813851.0</td>\n",
       "      <td>6.813863e+08</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>建筑材料I 其他建材II 防水材料III 非金属矿物制品业 建筑产品 工业</td>\n",
       "      <td>原料与能源</td>\n",
       "      <td>东方雨虹</td>\n",
       "      <td>DFYH</td>\n",
       "      <td>34716.0</td>\n",
       "      <td>0.025926</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.030464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>300408.XSHE</td>\n",
       "      <td>32.00</td>\n",
       "      <td>31.98</td>\n",
       "      <td>32.38</td>\n",
       "      <td>31.81</td>\n",
       "      <td>4754694.0</td>\n",
       "      <td>1.522192e+08</td>\n",
       "      <td>900.0</td>\n",
       "      <td>电子I 元件II 被动元件III 计算机、通信和其他电子设备制造业 被动元件 信息技术</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>三环集团</td>\n",
       "      <td>SHJT</td>\n",
       "      <td>28782.0</td>\n",
       "      <td>0.017100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.025367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>300408.XSHE</td>\n",
       "      <td>31.90</td>\n",
       "      <td>31.73</td>\n",
       "      <td>32.50</td>\n",
       "      <td>31.33</td>\n",
       "      <td>7131360.0</td>\n",
       "      <td>2.259226e+08</td>\n",
       "      <td>900.0</td>\n",
       "      <td>电子I 元件II 被动元件III 计算机、通信和其他电子设备制造业 被动元件 信息技术</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>三环集团</td>\n",
       "      <td>SHJT</td>\n",
       "      <td>28557.0</td>\n",
       "      <td>0.017100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.025060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>300413.XSHE</td>\n",
       "      <td>32.50</td>\n",
       "      <td>33.27</td>\n",
       "      <td>33.32</td>\n",
       "      <td>32.37</td>\n",
       "      <td>6601139.0</td>\n",
       "      <td>2.173793e+08</td>\n",
       "      <td>400.0</td>\n",
       "      <td>传媒I 数字媒体II 视频媒体III 文化艺术业 视频媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>芒果超媒</td>\n",
       "      <td>MGCM</td>\n",
       "      <td>13308.0</td>\n",
       "      <td>0.010379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>300413.XSHE</td>\n",
       "      <td>33.27</td>\n",
       "      <td>32.25</td>\n",
       "      <td>33.30</td>\n",
       "      <td>32.01</td>\n",
       "      <td>10558410.0</td>\n",
       "      <td>3.417554e+08</td>\n",
       "      <td>400.0</td>\n",
       "      <td>传媒I 数字媒体II 视频媒体III 文化艺术业 视频媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>芒果超媒</td>\n",
       "      <td>MGCM</td>\n",
       "      <td>12900.0</td>\n",
       "      <td>0.010379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>300759.XSHE</td>\n",
       "      <td>28.93</td>\n",
       "      <td>29.34</td>\n",
       "      <td>29.45</td>\n",
       "      <td>28.55</td>\n",
       "      <td>22129995.0</td>\n",
       "      <td>6.413811e+08</td>\n",
       "      <td>900.0</td>\n",
       "      <td>医药生物I 医疗服务II 医疗研发外包III 研究和试验发展 制药与生物科技服务 医药卫生</td>\n",
       "      <td>医药卫生</td>\n",
       "      <td>康龙化成</td>\n",
       "      <td>KLHC</td>\n",
       "      <td>26406.0</td>\n",
       "      <td>0.031525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.023273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>300759.XSHE</td>\n",
       "      <td>29.26</td>\n",
       "      <td>29.00</td>\n",
       "      <td>29.35</td>\n",
       "      <td>28.39</td>\n",
       "      <td>19712233.0</td>\n",
       "      <td>5.657508e+08</td>\n",
       "      <td>900.0</td>\n",
       "      <td>医药生物I 医疗服务II 医疗研发外包III 研究和试验发展 制药与生物科技服务 医药卫生</td>\n",
       "      <td>医药卫生</td>\n",
       "      <td>康龙化成</td>\n",
       "      <td>KLHC</td>\n",
       "      <td>26100.0</td>\n",
       "      <td>0.031525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>300979.XSHE</td>\n",
       "      <td>51.95</td>\n",
       "      <td>53.40</td>\n",
       "      <td>53.46</td>\n",
       "      <td>51.28</td>\n",
       "      <td>1051877.0</td>\n",
       "      <td>5.531820e+07</td>\n",
       "      <td>400.0</td>\n",
       "      <td>纺织服装I 纺织制造II 纺织鞋类制造III 皮革、毛皮、羽毛及其制品和制鞋业 鞋帽与配饰 ...</td>\n",
       "      <td>消费</td>\n",
       "      <td>华利集团</td>\n",
       "      <td>HLJT</td>\n",
       "      <td>21360.0</td>\n",
       "      <td>0.015049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.018826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>300979.XSHE</td>\n",
       "      <td>53.35</td>\n",
       "      <td>53.49</td>\n",
       "      <td>53.89</td>\n",
       "      <td>52.66</td>\n",
       "      <td>750046.0</td>\n",
       "      <td>4.004042e+07</td>\n",
       "      <td>400.0</td>\n",
       "      <td>纺织服装I 纺织制造II 纺织鞋类制造III 皮革、毛皮、羽毛及其制品和制鞋业 鞋帽与配饰 ...</td>\n",
       "      <td>消费</td>\n",
       "      <td>华利集团</td>\n",
       "      <td>HLJT</td>\n",
       "      <td>21396.0</td>\n",
       "      <td>0.015049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.018776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>600600.XSHG</td>\n",
       "      <td>95.00</td>\n",
       "      <td>95.00</td>\n",
       "      <td>95.35</td>\n",
       "      <td>93.20</td>\n",
       "      <td>4552721.0</td>\n",
       "      <td>4.289787e+08</td>\n",
       "      <td>400.0</td>\n",
       "      <td>食品饮料I 非白酒II 啤酒III 酒、饮料和精制茶制造业 啤酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>QDPJ</td>\n",
       "      <td>38000.0</td>\n",
       "      <td>0.108818</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.033492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>600600.XSHG</td>\n",
       "      <td>95.03</td>\n",
       "      <td>94.04</td>\n",
       "      <td>95.35</td>\n",
       "      <td>93.51</td>\n",
       "      <td>3148755.0</td>\n",
       "      <td>2.968795e+08</td>\n",
       "      <td>400.0</td>\n",
       "      <td>食品饮料I 非白酒II 啤酒III 酒、饮料和精制茶制造业 啤酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>QDPJ</td>\n",
       "      <td>37616.0</td>\n",
       "      <td>0.108818</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.033009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>600809.XSHG</td>\n",
       "      <td>222.00</td>\n",
       "      <td>224.27</td>\n",
       "      <td>224.68</td>\n",
       "      <td>219.23</td>\n",
       "      <td>4829616.0</td>\n",
       "      <td>1.071456e+09</td>\n",
       "      <td>700.0</td>\n",
       "      <td>食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>SXFJ</td>\n",
       "      <td>156989.0</td>\n",
       "      <td>0.119433</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.138363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>600809.XSHG</td>\n",
       "      <td>224.25</td>\n",
       "      <td>224.00</td>\n",
       "      <td>225.58</td>\n",
       "      <td>221.00</td>\n",
       "      <td>3278697.0</td>\n",
       "      <td>7.323132e+08</td>\n",
       "      <td>700.0</td>\n",
       "      <td>食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>SXFJ</td>\n",
       "      <td>156800.0</td>\n",
       "      <td>0.119433</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.137597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2023-08-16</td>\n",
       "      <td>600809.XSHG</td>\n",
       "      <td>222.60</td>\n",
       "      <td>225.50</td>\n",
       "      <td>227.59</td>\n",
       "      <td>222.22</td>\n",
       "      <td>3892264.0</td>\n",
       "      <td>8.778281e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>SXFJ</td>\n",
       "      <td>225500.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.646502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2023-08-17</td>\n",
       "      <td>600809.XSHG</td>\n",
       "      <td>224.46</td>\n",
       "      <td>229.72</td>\n",
       "      <td>229.95</td>\n",
       "      <td>223.28</td>\n",
       "      <td>4458965.0</td>\n",
       "      <td>1.013827e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>SXFJ</td>\n",
       "      <td>229720.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.648633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2023-08-18</td>\n",
       "      <td>600809.XSHG</td>\n",
       "      <td>229.78</td>\n",
       "      <td>225.76</td>\n",
       "      <td>232.10</td>\n",
       "      <td>225.40</td>\n",
       "      <td>3357055.0</td>\n",
       "      <td>7.618667e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>SXFJ</td>\n",
       "      <td>225760.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.647192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2023-08-21</td>\n",
       "      <td>600809.XSHG</td>\n",
       "      <td>225.00</td>\n",
       "      <td>226.85</td>\n",
       "      <td>230.68</td>\n",
       "      <td>221.00</td>\n",
       "      <td>4344149.0</td>\n",
       "      <td>9.884448e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>SXFJ</td>\n",
       "      <td>226850.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.653200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2023-08-22</td>\n",
       "      <td>600809.XSHG</td>\n",
       "      <td>227.39</td>\n",
       "      <td>226.45</td>\n",
       "      <td>228.20</td>\n",
       "      <td>222.26</td>\n",
       "      <td>3972474.0</td>\n",
       "      <td>8.924032e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>SXFJ</td>\n",
       "      <td>226450.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.646206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>601318.XSHG</td>\n",
       "      <td>48.30</td>\n",
       "      <td>48.53</td>\n",
       "      <td>48.82</td>\n",
       "      <td>48.28</td>\n",
       "      <td>60472146.0</td>\n",
       "      <td>2.935327e+09</td>\n",
       "      <td>400.0</td>\n",
       "      <td>非银金融I 保险II 保险III 保险业 多元化保险 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>ZGPA</td>\n",
       "      <td>19412.0</td>\n",
       "      <td>0.119706</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.017109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>601318.XSHG</td>\n",
       "      <td>48.52</td>\n",
       "      <td>48.68</td>\n",
       "      <td>49.08</td>\n",
       "      <td>48.02</td>\n",
       "      <td>52183684.0</td>\n",
       "      <td>2.535572e+09</td>\n",
       "      <td>400.0</td>\n",
       "      <td>非银金融I 保险II 保险III 保险业 多元化保险 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>ZGPA</td>\n",
       "      <td>19472.0</td>\n",
       "      <td>0.119706</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.017087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2023-08-16</td>\n",
       "      <td>601318.XSHG</td>\n",
       "      <td>48.32</td>\n",
       "      <td>48.35</td>\n",
       "      <td>48.94</td>\n",
       "      <td>48.13</td>\n",
       "      <td>47660376.0</td>\n",
       "      <td>2.306796e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>非银金融I 保险II 保险III 保险业 多元化保险 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>ZGPA</td>\n",
       "      <td>48350.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.138618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2023-08-17</td>\n",
       "      <td>601318.XSHG</td>\n",
       "      <td>48.01</td>\n",
       "      <td>47.91</td>\n",
       "      <td>48.18</td>\n",
       "      <td>47.33</td>\n",
       "      <td>59827368.0</td>\n",
       "      <td>2.853723e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>非银金融I 保险II 保险III 保险业 多元化保险 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>ZGPA</td>\n",
       "      <td>47910.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.135278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2023-08-18</td>\n",
       "      <td>601318.XSHG</td>\n",
       "      <td>47.90</td>\n",
       "      <td>47.52</td>\n",
       "      <td>49.00</td>\n",
       "      <td>47.52</td>\n",
       "      <td>63666255.0</td>\n",
       "      <td>3.066294e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>非银金融I 保险II 保险III 保险业 多元化保险 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>ZGPA</td>\n",
       "      <td>47520.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.136227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2023-08-21</td>\n",
       "      <td>601318.XSHG</td>\n",
       "      <td>47.40</td>\n",
       "      <td>46.67</td>\n",
       "      <td>47.49</td>\n",
       "      <td>46.67</td>\n",
       "      <td>62808090.0</td>\n",
       "      <td>2.950143e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>非银金融I 保险II 保险III 保险业 多元化保险 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>ZGPA</td>\n",
       "      <td>46670.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.134383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2023-08-22</td>\n",
       "      <td>601318.XSHG</td>\n",
       "      <td>46.90</td>\n",
       "      <td>47.00</td>\n",
       "      <td>47.30</td>\n",
       "      <td>46.47</td>\n",
       "      <td>51849548.0</td>\n",
       "      <td>2.430767e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>非银金融I 保险II 保险III 保险业 多元化保险 金融</td>\n",
       "      <td>金融与地产</td>\n",
       "      <td>中国平安</td>\n",
       "      <td>ZGPA</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.134121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>603000.XSHG</td>\n",
       "      <td>29.00</td>\n",
       "      <td>32.19</td>\n",
       "      <td>32.19</td>\n",
       "      <td>28.85</td>\n",
       "      <td>97674615.0</td>\n",
       "      <td>3.035976e+09</td>\n",
       "      <td>23500.0</td>\n",
       "      <td>传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>人民网</td>\n",
       "      <td>RMW</td>\n",
       "      <td>756465.0</td>\n",
       "      <td>0.430369</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.666716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>603000.XSHG</td>\n",
       "      <td>32.83</td>\n",
       "      <td>32.46</td>\n",
       "      <td>33.51</td>\n",
       "      <td>32.02</td>\n",
       "      <td>107039840.0</td>\n",
       "      <td>3.509711e+09</td>\n",
       "      <td>23500.0</td>\n",
       "      <td>传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>人民网</td>\n",
       "      <td>RMW</td>\n",
       "      <td>762810.0</td>\n",
       "      <td>0.430369</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.669389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2023-08-16</td>\n",
       "      <td>603000.XSHG</td>\n",
       "      <td>32.46</td>\n",
       "      <td>32.46</td>\n",
       "      <td>33.33</td>\n",
       "      <td>30.90</td>\n",
       "      <td>96472064.0</td>\n",
       "      <td>3.114885e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>人民网</td>\n",
       "      <td>RMW</td>\n",
       "      <td>32460.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.093062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2023-08-17</td>\n",
       "      <td>603000.XSHG</td>\n",
       "      <td>32.04</td>\n",
       "      <td>33.80</td>\n",
       "      <td>34.22</td>\n",
       "      <td>31.83</td>\n",
       "      <td>110222658.0</td>\n",
       "      <td>3.686636e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>人民网</td>\n",
       "      <td>RMW</td>\n",
       "      <td>33800.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.095437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2023-08-18</td>\n",
       "      <td>603000.XSHG</td>\n",
       "      <td>33.50</td>\n",
       "      <td>34.20</td>\n",
       "      <td>35.15</td>\n",
       "      <td>32.80</td>\n",
       "      <td>112988265.0</td>\n",
       "      <td>3.852462e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>人民网</td>\n",
       "      <td>RMW</td>\n",
       "      <td>34200.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.098042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2023-08-21</td>\n",
       "      <td>603000.XSHG</td>\n",
       "      <td>33.16</td>\n",
       "      <td>33.17</td>\n",
       "      <td>34.66</td>\n",
       "      <td>32.16</td>\n",
       "      <td>79040908.0</td>\n",
       "      <td>2.650834e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>人民网</td>\n",
       "      <td>RMW</td>\n",
       "      <td>33170.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.095511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2023-08-22</td>\n",
       "      <td>603000.XSHG</td>\n",
       "      <td>33.87</td>\n",
       "      <td>36.49</td>\n",
       "      <td>36.49</td>\n",
       "      <td>33.77</td>\n",
       "      <td>122393536.0</td>\n",
       "      <td>4.299076e+09</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务</td>\n",
       "      <td>信息与通信</td>\n",
       "      <td>人民网</td>\n",
       "      <td>RMW</td>\n",
       "      <td>36490.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.104129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2023-08-14</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>43.50</td>\n",
       "      <td>43.31</td>\n",
       "      <td>43.77</td>\n",
       "      <td>42.63</td>\n",
       "      <td>17442281.0</td>\n",
       "      <td>7.536682e+08</td>\n",
       "      <td>400.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>17324.0</td>\n",
       "      <td>0.110121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.015269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2023-08-15</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>43.60</td>\n",
       "      <td>42.73</td>\n",
       "      <td>43.60</td>\n",
       "      <td>42.40</td>\n",
       "      <td>10364699.0</td>\n",
       "      <td>4.437403e+08</td>\n",
       "      <td>400.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>17092.0</td>\n",
       "      <td>0.110121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2023-08-16</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>42.43</td>\n",
       "      <td>42.49</td>\n",
       "      <td>42.91</td>\n",
       "      <td>42.40</td>\n",
       "      <td>7427002.0</td>\n",
       "      <td>3.165294e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>42490.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.121818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2023-08-17</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>42.20</td>\n",
       "      <td>42.73</td>\n",
       "      <td>42.83</td>\n",
       "      <td>41.71</td>\n",
       "      <td>12749545.0</td>\n",
       "      <td>5.386939e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>42730.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.120652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2023-08-18</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>42.65</td>\n",
       "      <td>41.35</td>\n",
       "      <td>42.65</td>\n",
       "      <td>41.28</td>\n",
       "      <td>12081279.0</td>\n",
       "      <td>5.052964e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>41350.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.118539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2023-08-21</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>41.35</td>\n",
       "      <td>40.60</td>\n",
       "      <td>41.47</td>\n",
       "      <td>40.60</td>\n",
       "      <td>13034690.0</td>\n",
       "      <td>5.348660e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>40600.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.116905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2023-08-22</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>40.65</td>\n",
       "      <td>40.49</td>\n",
       "      <td>41.07</td>\n",
       "      <td>39.90</td>\n",
       "      <td>15421643.0</td>\n",
       "      <td>6.222933e+08</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>40490.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.115544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2023-08-23</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>40.49</td>\n",
       "      <td>39.83</td>\n",
       "      <td>40.53</td>\n",
       "      <td>39.80</td>\n",
       "      <td>11035245.0</td>\n",
       "      <td>4.423327e+08</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>398300.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2023-08-24</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>39.92</td>\n",
       "      <td>40.28</td>\n",
       "      <td>40.50</td>\n",
       "      <td>39.52</td>\n",
       "      <td>12865543.0</td>\n",
       "      <td>5.163460e+08</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>402800.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2023-08-25</td>\n",
       "      <td>603288.XSHG</td>\n",
       "      <td>40.08</td>\n",
       "      <td>40.08</td>\n",
       "      <td>40.55</td>\n",
       "      <td>39.91</td>\n",
       "      <td>8887682.0</td>\n",
       "      <td>3.573801e+08</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费</td>\n",
       "      <td>消费</td>\n",
       "      <td>海天味业</td>\n",
       "      <td>HTWY</td>\n",
       "      <td>400800.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          time       ticker    open   close    high     low       volume  \\\n",
       "111 2023-08-14  000877.XSHE    8.35    8.40    8.44    8.26    7357900.0   \n",
       "112 2023-08-15  000877.XSHE    8.42    8.42    8.45    8.30    6000000.0   \n",
       "45  2023-08-14  002202.XSHE   10.73   10.79   10.84   10.61   11395130.0   \n",
       "46  2023-08-15  002202.XSHE   10.80   10.70   10.81   10.64    8332232.0   \n",
       "89  2023-08-14  002271.XSHE   28.02   28.65   29.13   27.56   25064704.0   \n",
       "90  2023-08-15  002271.XSHE   28.75   28.93   29.00   28.16   23813851.0   \n",
       "1   2023-08-14  300408.XSHE   32.00   31.98   32.38   31.81    4754694.0   \n",
       "2   2023-08-15  300408.XSHE   31.90   31.73   32.50   31.33    7131360.0   \n",
       "100 2023-08-14  300413.XSHE   32.50   33.27   33.32   32.37    6601139.0   \n",
       "101 2023-08-15  300413.XSHE   33.27   32.25   33.30   32.01   10558410.0   \n",
       "56  2023-08-14  300759.XSHE   28.93   29.34   29.45   28.55   22129995.0   \n",
       "57  2023-08-15  300759.XSHE   29.26   29.00   29.35   28.39   19712233.0   \n",
       "78  2023-08-14  300979.XSHE   51.95   53.40   53.46   51.28    1051877.0   \n",
       "79  2023-08-15  300979.XSHE   53.35   53.49   53.89   52.66     750046.0   \n",
       "12  2023-08-14  600600.XSHG   95.00   95.00   95.35   93.20    4552721.0   \n",
       "13  2023-08-15  600600.XSHG   95.03   94.04   95.35   93.51    3148755.0   \n",
       "23  2023-08-14  600809.XSHG  222.00  224.27  224.68  219.23    4829616.0   \n",
       "24  2023-08-15  600809.XSHG  224.25  224.00  225.58  221.00    3278697.0   \n",
       "25  2023-08-16  600809.XSHG  222.60  225.50  227.59  222.22    3892264.0   \n",
       "26  2023-08-17  600809.XSHG  224.46  229.72  229.95  223.28    4458965.0   \n",
       "27  2023-08-18  600809.XSHG  229.78  225.76  232.10  225.40    3357055.0   \n",
       "28  2023-08-21  600809.XSHG  225.00  226.85  230.68  221.00    4344149.0   \n",
       "29  2023-08-22  600809.XSHG  227.39  226.45  228.20  222.26    3972474.0   \n",
       "67  2023-08-14  601318.XSHG   48.30   48.53   48.82   48.28   60472146.0   \n",
       "68  2023-08-15  601318.XSHG   48.52   48.68   49.08   48.02   52183684.0   \n",
       "69  2023-08-16  601318.XSHG   48.32   48.35   48.94   48.13   47660376.0   \n",
       "70  2023-08-17  601318.XSHG   48.01   47.91   48.18   47.33   59827368.0   \n",
       "71  2023-08-18  601318.XSHG   47.90   47.52   49.00   47.52   63666255.0   \n",
       "72  2023-08-21  601318.XSHG   47.40   46.67   47.49   46.67   62808090.0   \n",
       "73  2023-08-22  601318.XSHG   46.90   47.00   47.30   46.47   51849548.0   \n",
       "34  2023-08-14  603000.XSHG   29.00   32.19   32.19   28.85   97674615.0   \n",
       "35  2023-08-15  603000.XSHG   32.83   32.46   33.51   32.02  107039840.0   \n",
       "36  2023-08-16  603000.XSHG   32.46   32.46   33.33   30.90   96472064.0   \n",
       "37  2023-08-17  603000.XSHG   32.04   33.80   34.22   31.83  110222658.0   \n",
       "38  2023-08-18  603000.XSHG   33.50   34.20   35.15   32.80  112988265.0   \n",
       "39  2023-08-21  603000.XSHG   33.16   33.17   34.66   32.16   79040908.0   \n",
       "40  2023-08-22  603000.XSHG   33.87   36.49   36.49   33.77  122393536.0   \n",
       "122 2023-08-14  603288.XSHG   43.50   43.31   43.77   42.63   17442281.0   \n",
       "123 2023-08-15  603288.XSHG   43.60   42.73   43.60   42.40   10364699.0   \n",
       "124 2023-08-16  603288.XSHG   42.43   42.49   42.91   42.40    7427002.0   \n",
       "125 2023-08-17  603288.XSHG   42.20   42.73   42.83   41.71   12749545.0   \n",
       "126 2023-08-18  603288.XSHG   42.65   41.35   42.65   41.28   12081279.0   \n",
       "127 2023-08-21  603288.XSHG   41.35   40.60   41.47   40.60   13034690.0   \n",
       "128 2023-08-22  603288.XSHG   40.65   40.49   41.07   39.90   15421643.0   \n",
       "129 2023-08-23  603288.XSHG   40.49   39.83   40.53   39.80   11035245.0   \n",
       "130 2023-08-24  603288.XSHG   39.92   40.28   40.50   39.52   12865543.0   \n",
       "131 2023-08-25  603288.XSHG   40.08   40.08   40.55   39.91    8887682.0   \n",
       "\n",
       "            money   shares                                             sector  \\\n",
       "111  6.138507e+07   1100.0           建筑材料I 水泥制造II 水泥制造III 非金属矿物制品业 水泥与混凝土 原材料   \n",
       "112  5.030405e+07   1100.0           建筑材料I 水泥制造II 水泥制造III 非金属矿物制品业 水泥与混凝土 原材料   \n",
       "45   1.222121e+08   1200.0               电气设备I 风电设备II 风电整机III 通用设备制造业 风电设备 工业   \n",
       "46   8.922860e+07   1200.0               电气设备I 风电设备II 风电整机III 通用设备制造业 风电设备 工业   \n",
       "89   7.112971e+08   1200.0              建筑材料I 其他建材II 防水材料III 非金属矿物制品业 建筑产品 工业   \n",
       "90   6.813863e+08   1200.0              建筑材料I 其他建材II 防水材料III 非金属矿物制品业 建筑产品 工业   \n",
       "1    1.522192e+08    900.0        电子I 元件II 被动元件III 计算机、通信和其他电子设备制造业 被动元件 信息技术   \n",
       "2    2.259226e+08    900.0        电子I 元件II 被动元件III 计算机、通信和其他电子设备制造业 被动元件 信息技术   \n",
       "100  2.173793e+08    400.0                 传媒I 数字媒体II 视频媒体III 文化艺术业 视频媒体 通信服务   \n",
       "101  3.417554e+08    400.0                 传媒I 数字媒体II 视频媒体III 文化艺术业 视频媒体 通信服务   \n",
       "56   6.413811e+08    900.0      医药生物I 医疗服务II 医疗研发外包III 研究和试验发展 制药与生物科技服务 医药卫生   \n",
       "57   5.657508e+08    900.0      医药生物I 医疗服务II 医疗研发外包III 研究和试验发展 制药与生物科技服务 医药卫生   \n",
       "78   5.531820e+07    400.0  纺织服装I 纺织制造II 纺织鞋类制造III 皮革、毛皮、羽毛及其制品和制鞋业 鞋帽与配饰 ...   \n",
       "79   4.004042e+07    400.0  纺织服装I 纺织制造II 纺织鞋类制造III 皮革、毛皮、羽毛及其制品和制鞋业 鞋帽与配饰 ...   \n",
       "12   4.289787e+08    400.0              食品饮料I 非白酒II 啤酒III 酒、饮料和精制茶制造业 啤酒 主要消费   \n",
       "13   2.968795e+08    400.0              食品饮料I 非白酒II 啤酒III 酒、饮料和精制茶制造业 啤酒 主要消费   \n",
       "23   1.071456e+09    700.0               食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费   \n",
       "24   7.323132e+08    700.0               食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费   \n",
       "25   8.778281e+08   1000.0               食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费   \n",
       "26   1.013827e+09   1000.0               食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费   \n",
       "27   7.618667e+08   1000.0               食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费   \n",
       "28   9.884448e+08   1000.0               食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费   \n",
       "29   8.924032e+08   1000.0               食品饮料I 白酒II 白酒III 酒、饮料和精制茶制造业 白酒 主要消费   \n",
       "67   2.935327e+09    400.0                      非银金融I 保险II 保险III 保险业 多元化保险 金融   \n",
       "68   2.535572e+09    400.0                      非银金融I 保险II 保险III 保险业 多元化保险 金融   \n",
       "69   2.306796e+09   1000.0                      非银金融I 保险II 保险III 保险业 多元化保险 金融   \n",
       "70   2.853723e+09   1000.0                      非银金融I 保险II 保险III 保险业 多元化保险 金融   \n",
       "71   3.066294e+09   1000.0                      非银金融I 保险II 保险III 保险业 多元化保险 金融   \n",
       "72   2.950143e+09   1000.0                      非银金融I 保险II 保险III 保险业 多元化保险 金融   \n",
       "73   2.430767e+09   1000.0                      非银金融I 保险II 保险III 保险业 多元化保险 金融   \n",
       "34   3.035976e+09  23500.0              传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务   \n",
       "35   3.509711e+09  23500.0              传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务   \n",
       "36   3.114885e+09   1000.0              传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务   \n",
       "37   3.686636e+09   1000.0              传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务   \n",
       "38   3.852462e+09   1000.0              传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务   \n",
       "39   2.650834e+09   1000.0              传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务   \n",
       "40   4.299076e+09   1000.0              传媒I 数字媒体II 门户网站III 互联网和相关服务 图文媒体 通信服务   \n",
       "122  7.536682e+08    400.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "123  4.437403e+08    400.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "124  3.165294e+08   1000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "125  5.386939e+08   1000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "126  5.052964e+08   1000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "127  5.348660e+08   1000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "128  6.222933e+08   1000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "129  4.423327e+08  10000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "130  5.163460e+08  10000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "131  3.573801e+08  10000.0          食品饮料I 调味发酵品II 调味发酵品III 食品制造业 调味品与食用油 主要消费   \n",
       "\n",
       "    aggregate_sector display_name  name      cash     ini_w  ave_price  \\\n",
       "111            原料与能源         天山股份  TSGF    9240.0  0.007896        NaN   \n",
       "112            原料与能源         天山股份  TSGF    9262.0  0.007896        NaN   \n",
       "45                工业         金风科技  JFKJ   12948.0  0.003677        NaN   \n",
       "46                工业         金风科技  JFKJ   12840.0  0.003677        NaN   \n",
       "89             原料与能源         东方雨虹  DFYH   34380.0  0.025926        NaN   \n",
       "90             原料与能源         东方雨虹  DFYH   34716.0  0.025926        NaN   \n",
       "1              信息与通信         三环集团  SHJT   28782.0  0.017100        NaN   \n",
       "2              信息与通信         三环集团  SHJT   28557.0  0.017100        NaN   \n",
       "100            信息与通信         芒果超媒  MGCM   13308.0  0.010379        NaN   \n",
       "101            信息与通信         芒果超媒  MGCM   12900.0  0.010379        NaN   \n",
       "56              医药卫生         康龙化成  KLHC   26406.0  0.031525        NaN   \n",
       "57              医药卫生         康龙化成  KLHC   26100.0  0.031525        NaN   \n",
       "78                消费         华利集团  HLJT   21360.0  0.015049        NaN   \n",
       "79                消费         华利集团  HLJT   21396.0  0.015049        NaN   \n",
       "12                消费         青岛啤酒  QDPJ   38000.0  0.108818        NaN   \n",
       "13                消费         青岛啤酒  QDPJ   37616.0  0.108818        NaN   \n",
       "23                消费         山西汾酒  SXFJ  156989.0  0.119433        NaN   \n",
       "24                消费         山西汾酒  SXFJ  156800.0  0.119433        NaN   \n",
       "25                消费         山西汾酒  SXFJ  225500.0  0.250000        NaN   \n",
       "26                消费         山西汾酒  SXFJ  229720.0  0.250000        NaN   \n",
       "27                消费         山西汾酒  SXFJ  225760.0  0.250000        NaN   \n",
       "28                消费         山西汾酒  SXFJ  226850.0  0.250000        NaN   \n",
       "29                消费         山西汾酒  SXFJ  226450.0  0.250000        NaN   \n",
       "67             金融与地产         中国平安  ZGPA   19412.0  0.119706        NaN   \n",
       "68             金融与地产         中国平安  ZGPA   19472.0  0.119706        NaN   \n",
       "69             金融与地产         中国平安  ZGPA   48350.0  0.250000        NaN   \n",
       "70             金融与地产         中国平安  ZGPA   47910.0  0.250000        NaN   \n",
       "71             金融与地产         中国平安  ZGPA   47520.0  0.250000        NaN   \n",
       "72             金融与地产         中国平安  ZGPA   46670.0  0.250000        NaN   \n",
       "73             金融与地产         中国平安  ZGPA   47000.0  0.250000        NaN   \n",
       "34             信息与通信          人民网   RMW  756465.0  0.430369        NaN   \n",
       "35             信息与通信          人民网   RMW  762810.0  0.430369        NaN   \n",
       "36             信息与通信          人民网   RMW   32460.0  0.250000        NaN   \n",
       "37             信息与通信          人民网   RMW   33800.0  0.250000        NaN   \n",
       "38             信息与通信          人民网   RMW   34200.0  0.250000        NaN   \n",
       "39             信息与通信          人民网   RMW   33170.0  0.250000        NaN   \n",
       "40             信息与通信          人民网   RMW   36490.0  0.250000        NaN   \n",
       "122               消费         海天味业  HTWY   17324.0  0.110121        NaN   \n",
       "123               消费         海天味业  HTWY   17092.0  0.110121        NaN   \n",
       "124               消费         海天味业  HTWY   42490.0  0.250000        NaN   \n",
       "125               消费         海天味业  HTWY   42730.0  0.250000        NaN   \n",
       "126               消费         海天味业  HTWY   41350.0  0.250000        NaN   \n",
       "127               消费         海天味业  HTWY   40600.0  0.250000        NaN   \n",
       "128               消费         海天味业  HTWY   40490.0  0.250000        NaN   \n",
       "129               消费         海天味业  HTWY  398300.0  1.000000        NaN   \n",
       "130               消费         海天味业  HTWY  402800.0  1.000000        NaN   \n",
       "131               消费         海天味业  HTWY  400800.0  1.000000        NaN   \n",
       "\n",
       "        cur_w  \n",
       "111  0.008144  \n",
       "112  0.008128  \n",
       "45   0.011412  \n",
       "46   0.011267  \n",
       "89   0.030301  \n",
       "90   0.030464  \n",
       "1    0.025367  \n",
       "2    0.025060  \n",
       "100  0.011729  \n",
       "101  0.011320  \n",
       "56   0.023273  \n",
       "57   0.022904  \n",
       "78   0.018826  \n",
       "79   0.018776  \n",
       "12   0.033492  \n",
       "13   0.033009  \n",
       "23   0.138363  \n",
       "24   0.137597  \n",
       "25   0.646502  \n",
       "26   0.648633  \n",
       "27   0.647192  \n",
       "28   0.653200  \n",
       "29   0.646206  \n",
       "67   0.017109  \n",
       "68   0.017087  \n",
       "69   0.138618  \n",
       "70   0.135278  \n",
       "71   0.136227  \n",
       "72   0.134383  \n",
       "73   0.134121  \n",
       "34   0.666716  \n",
       "35   0.669389  \n",
       "36   0.093062  \n",
       "37   0.095437  \n",
       "38   0.098042  \n",
       "39   0.095511  \n",
       "40   0.104129  \n",
       "122  0.015269  \n",
       "123  0.014999  \n",
       "124  0.121818  \n",
       "125  0.120652  \n",
       "126  0.118539  \n",
       "127  0.116905  \n",
       "128  0.115544  \n",
       "129  1.000000  \n",
       "130  1.000000  \n",
       "131  1.000000  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analytic_df"
   ]
  }
 ],
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