polars_pbv_demo.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "76c7ccff-00b9-49a8-ae20-3ace7d07c7b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import polars as pl\n",
    "import polars_pbv as pl_pbv\n",
    "import hvplot\n",
    "import holoviews as hv\n",
    "import panel as pn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "33540bef-a218-4367-8bcd-a0a9c4083cea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.4.4'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pn.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0d068ff7-c59c-41c7-97de-177608fa1eab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.18.3'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hv.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6bd841d3-0a20-4781-897a-ef42a7dc5cba",
   "metadata": {},
   "outputs": [],
   "source": [
    "n = 1000\n",
    "w = 120\n",
    "b = 20\n",
    "df = pl.DataFrame({\n",
    "    \"index\": np.arange(0, n),\n",
    "    \"price\": np.random.normal(size=n),\n",
    "    \"volume\": np.random.randint(0, 1000, n),\n",
    "}).with_columns(\n",
    "    pl.col(\"price\").cum_sum()\n",
    ").with_columns(\n",
    "    pl_pbv.pbv_pct(\"price\", \"volume\", w, b, center=False).alias(\"pbv\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "885a063a-9f06-434b-9c21-8f6ac95ff074",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (1_000, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>index</th><th>price</th><th>volume</th><th>pbv</th></tr><tr><td>i64</td><td>f64</td><td>i64</td><td>struct[2]</td></tr></thead><tbody><tr><td>0</td><td>0.694999</td><td>979</td><td>{null,null}</td></tr><tr><td>1</td><td>1.65609</td><td>968</td><td>{null,null}</td></tr><tr><td>2</td><td>2.348936</td><td>922</td><td>{null,null}</td></tr><tr><td>3</td><td>1.011861</td><td>796</td><td>{null,null}</td></tr><tr><td>4</td><td>2.256975</td><td>0</td><td>{null,null}</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>995</td><td>35.706383</td><td>735</td><td>{[29.585915, 30.208259, … 41.410433],[0.024675, 0.014959, … 0.038207]}</td></tr><tr><td>996</td><td>35.475052</td><td>45</td><td>{[29.585915, 30.208259, … 41.410433],[0.02496, 0.015132, … 0.038648]}</td></tr><tr><td>997</td><td>34.708433</td><td>629</td><td>{[29.585915, 30.208259, … 41.410433],[0.024923, 0.015109, … 0.03859]}</td></tr><tr><td>998</td><td>35.17219</td><td>980</td><td>{[29.585915, 30.208259, … 41.410433],[0.024762, 0.015012, … 0.038342]}</td></tr><tr><td>999</td><td>35.352149</td><td>915</td><td>{[29.585915, 30.208259, … 41.410433],[0.024646, 0.014941, … 0.038162]}</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (1_000, 4)\n",
       "┌───────┬───────────┬────────┬───────────────────────────────────┐\n",
       "│ index ┆ price     ┆ volume ┆ pbv                               │\n",
       "│ ---   ┆ ---       ┆ ---    ┆ ---                               │\n",
       "│ i64   ┆ f64       ┆ i64    ┆ struct[2]                         │\n",
       "╞═══════╪═══════════╪════════╪═══════════════════════════════════╡\n",
       "│ 0     ┆ 0.694999  ┆ 979    ┆ {null,null}                       │\n",
       "│ 1     ┆ 1.65609   ┆ 968    ┆ {null,null}                       │\n",
       "│ 2     ┆ 2.348936  ┆ 922    ┆ {null,null}                       │\n",
       "│ 3     ┆ 1.011861  ┆ 796    ┆ {null,null}                       │\n",
       "│ 4     ┆ 2.256975  ┆ 0      ┆ {null,null}                       │\n",
       "│ …     ┆ …         ┆ …      ┆ …                                 │\n",
       "│ 995   ┆ 35.706383 ┆ 735    ┆ {[29.585915, 30.208259, … 41.410… │\n",
       "│ 996   ┆ 35.475052 ┆ 45     ┆ {[29.585915, 30.208259, … 41.410… │\n",
       "│ 997   ┆ 34.708433 ┆ 629    ┆ {[29.585915, 30.208259, … 41.410… │\n",
       "│ 998   ┆ 35.17219  ┆ 980    ┆ {[29.585915, 30.208259, … 41.410… │\n",
       "│ 999   ┆ 35.352149 ┆ 915    ┆ {[29.585915, 30.208259, … 41.410… │\n",
       "└───────┴───────────┴────────┴───────────────────────────────────┘"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2b5789a7-4bbb-452a-a00e-d6779c1b993e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pbv = df.tail(1).select(\n",
    "    pl.col(\"pbv\").struct.field(\"price\").list.explode(),\n",
    "    pl.col(\"pbv\").struct.field(\"volume\").list.explode() * n,\n",
    ")\n",
    "pbv_data = df_pbv.to_dicts()\n",
    "step = pbv_data[1][\"price\"] - pbv_data[0][\"price\"]\n",
    "pbv_v_max = df_pbv[\"volume\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c353f017-894f-4ce0-aebc-ab46574d4f1d",
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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400px));\\n}\",{\"id\":\"p1584\"},{\"id\":\"p1582\"},{\"id\":\"p1583\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
       "  var render_items = [{\"docid\":\"9d7fb1b3-8c31-488b-a997-1f6996584bae\",\"roots\":{\"p1581\":\"e77a8de2-1c2b-4ab4-85bc-9808cc27c169\"},\"root_ids\":[\"p1581\"]}];\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",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await 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].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\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) {\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": [
       ":Layout\n",
       "   .Overlay.I :Overlay\n",
       "      .Curve.I      :Curve   [index]   (price)\n",
       "      .Rectangles.I :Rectangles   [x0,y0,x1,y1]\n",
       "   .Curve.I   :Curve   [index]   (volume)"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1581"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "((df.tail(w).plot.line(x=\"index\", y=\"price\", height=400) * \n",
    "  hv.Rectangles([[n-w, r[\"price\"], (n - w) + r[\"volume\"], r[\"price\"] + step] for r in pbv_data], ).opts(alpha=0.5)\n",
    " ) +  df.tail(w).plot.step(x=\"index\", y=\"volume\", height=200)).cols(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c0d11825-91e1-426f-87f4-1a0a5f46f0f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "120"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "14ddeb7c-db27-4180-b65a-4e5bd5b060d1",
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='p1437'>\n",
       "  <div id=\"ebbdc465-0ca5-49d5-86bf-905b5aff261e\" data-root-id=\"p1437\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"36bb698f-3a59-4d63-9cbc-3e9ec6943a63\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1437\",\"attributes\":{\"name\":\"Row02021\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1440\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1571\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1438\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1439\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.4/dist/bundled/theme/native.css\"}}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1441\",\"attributes\":{\"name\":\"HSpacer02027\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  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400px));\\n}\",{\"id\":\"p1440\"},{\"id\":\"p1438\"},{\"id\":\"p1439\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
       "  var render_items = [{\"docid\":\"36bb698f-3a59-4d63-9cbc-3e9ec6943a63\",\"roots\":{\"p1437\":\"ebbdc465-0ca5-49d5-86bf-905b5aff261e\"},\"root_ids\":[\"p1437\"]}];\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",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await 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].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\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) {\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": [
       ":Layout\n",
       "   .Overlay.I :Overlay\n",
       "      .Curve.I      :Curve   [index]   (price)\n",
       "      .Rectangles.I :Rectangles   [x0,y0,x1,y1]\n",
       "   .Curve.I   :Curve   [index]   (volume)"
      ]
     },
     "execution_count": 15,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1437"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i = 200\n",
    "df_pbv = df.slice(i+w, 1).select(\n",
    "    pl.col(\"pbv\").struct.field(\"price\").list.explode(),\n",
    "    pl.col(\"pbv\").struct.field(\"volume\").list.explode() * n,\n",
    ")\n",
    "pbv_data = df_pbv.to_dicts()\n",
    "step = pbv_data[1][\"price\"] - pbv_data[0][\"price\"]\n",
    "pbv_v_max = df_pbv[\"volume\"].max()\n",
    "((df.slice(i, w).plot.line(x=\"index\", y=\"price\", height=400) * \n",
    "  hv.Rectangles([[i, r[\"price\"], i + r[\"volume\"], r[\"price\"] + step] for r in pbv_data], ).opts(alpha=0.5)\n",
    " ) + df.slice(i, w).plot.step(x=\"index\", y=\"volume\", height=200)).cols(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "26bff3a0-402c-4dac-9be0-f9655124694a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_pbv(i):\n",
    "    print(f\"use {i}\")\n",
    "    df_pbv = df.slice(i+w, 1).select(\n",
    "        pl.col(\"pbv\").struct.field(\"price\").list.explode(),\n",
    "        pl.col(\"pbv\").struct.field(\"volume\").list.explode() * n,\n",
    "    )\n",
    "    pbv_data = df_pbv.to_dicts()\n",
    "    step = pbv_data[1][\"price\"] - pbv_data[0][\"price\"]\n",
    "    pbv_v_max = df_pbv[\"volume\"].max()\n",
    "    return ((df.slice(i, w).plot.line(x=\"index\", y=\"price\", height=400) * \n",
    "      hv.Rectangles([[i, r[\"price\"], i + r[\"volume\"], r[\"price\"] + step] for r in pbv_data], ).opts(alpha=0.5)\n",
    "     ) + df.slice(i, w).plot.step(x=\"index\", y=\"volume\", height=200)).cols(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f094b3b-4fd2-40ec-9370-373d0187725d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a99df227-cc7a-4313-8f46-4b3d60dec969",
   "metadata": {},
   "outputs": [],
   "source": [
    "slider = pn.widgets.IntSlider(name='time', start=w, end=n, step=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "590f2884-174d-4a46-a013-790723e9f1eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "pbv_plot_interactive = hvplot.bind(plot_pbv, i=slider)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2a990d62-4a46-460a-a2c2-6a3ff33d5b7b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "use 120\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='p1725'>\n",
       "  <div id=\"fe4f32f5-9221-4109-9196-3f924c9088e6\" data-root-id=\"p1725\" style=\"display: contents;\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  var docs_json = {\"94652ef6-b2a4-47dc-8830-1f1d30621124\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.layout.Column\",\"id\":\"p1725\",\"attributes\":{\"name\":\"Column02734\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
       "  var render_items = [{\"docid\":\"94652ef6-b2a4-47dc-8830-1f1d30621124\",\"roots\":{\"p1725\":\"fe4f32f5-9221-4109-9196-3f924c9088e6\"},\"root_ids\":[\"p1725\"]}];\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",
       "  async function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    await 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].hasAttribute('data-root-id')) {\n",
       "\t  const root_el = id_el.children[0]\n",
       "\t  root_el.id = root_el.id + '-rendered'\n",
       "\t  for (const child of root_el.children) {\n",
       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
       "\t  }\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) {\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": [
       "Column\n",
       "    [0] IntSlider(end=1000, name='time', start=120, step=10, value=120)\n",
       "    [1] ParamFunction(function, _pane=HoloViews, defer_load=False)"
      ]
     },
     "execution_count": 20,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "p1725"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dashboard = pn.Column(slider, pbv_plot_interactive)\n",
    "dashboard.servable()\n",
    "dashboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b878d211-f00b-46a4-aee3-5e28ad8736b3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "31a0348d-a873-471a-a621-c6c282b21dbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  0%|                                                                                                                          | 0/89 [00:00<?, ?it/s]use 1000\n",
      "use 990\n",
      "use 980\n",
      "use 970\n",
      "use 960\n",
      "use 950\n",
      "use 940\n",
      "use 930\n",
      "use 920\n",
      "use 910\n",
      "use 900\n",
      "use 890\n",
      "use 880\n",
      "use 870\n",
      " 16%|█████████████████▊                                                                                               | 14/89 [00:00<00:02, 33.73it/s]use 860\n",
      "use 850\n",
      "use 840\n",
      "use 830\n",
      " 20%|██████████████████████▊                                                                                          | 18/89 [00:02<00:10,  6.92it/s]use 820\n",
      "use 810\n",
      " 22%|█████████████████████████▍                                                                                       | 20/89 [00:02<00:12,  5.38it/s]use 800\n",
      " 24%|██████████████████████████▋                                                                                      | 21/89 [00:03<00:14,  4.82it/s]use 790\n",
      " 25%|███████████████████████████▉                                                                                     | 22/89 [00:03<00:15,  4.32it/s]use 780\n",
      " 26%|█████████████████████████████▏                                                                                   | 23/89 [00:04<00:16,  3.90it/s]use 770\n",
      " 27%|██████████████████████████████▍                                                                                  | 24/89 [00:04<00:18,  3.56it/s]use 760\n",
      " 28%|███████████████████████████████▋                                                                                 | 25/89 [00:04<00:19,  3.30it/s]use 750\n",
      " 29%|█████████████████████████████████                                                                                | 26/89 [00:05<00:20,  3.11it/s]use 740\n",
      " 30%|██████████████████████████████████▎                                                                              | 27/89 [00:05<00:20,  2.96it/s]use 730\n",
      " 31%|███████████████████████████████████▌                                                                             | 28/89 [00:05<00:21,  2.84it/s]use 720\n",
      " 33%|████████████████████████████████████▊                                                                            | 29/89 [00:06<00:21,  2.77it/s]use 710\n",
      " 34%|██████████████████████████████████████                                                                           | 30/89 [00:06<00:21,  2.70it/s]use 700\n",
      " 35%|███████████████████████████████████████▎                                                                         | 31/89 [00:07<00:25,  2.31it/s]use 690\n",
      " 36%|████████████████████████████████████████▋                                                                        | 32/89 [00:07<00:23,  2.38it/s]use 680\n",
      " 37%|█████████████████████████████████████████▉                                                                       | 33/89 [00:08<00:22,  2.44it/s]use 670\n",
      " 38%|███████████████████████████████████████████▏                                                                     | 34/89 [00:08<00:22,  2.49it/s]use 660\n",
      " 39%|████████████████████████████████████████████▍                                                                    | 35/89 [00:08<00:21,  2.52it/s]use 650\n",
      " 40%|█████████████████████████████████████████████▋                                                                   | 36/89 [00:09<00:20,  2.54it/s]use 640\n",
      " 42%|██████████████████████████████████████████████▉                                                                  | 37/89 [00:09<00:20,  2.55it/s]use 630\n",
      " 43%|████████████████████████████████████████████████▏                                                                | 38/89 [00:10<00:19,  2.57it/s]use 620\n",
      " 44%|█████████████████████████████████████████████████▌                                                               | 39/89 [00:10<00:19,  2.57it/s]use 610\n",
      " 45%|██████████████████████████████████████████████████▊                                                              | 40/89 [00:10<00:19,  2.57it/s]use 600\n",
      " 46%|████████████████████████████████████████████████████                                                             | 41/89 [00:11<00:18,  2.57it/s]use 590\n",
      " 47%|█████████████████████████████████████████████████████▎                                                           | 42/89 [00:11<00:18,  2.58it/s]use 580\n",
      " 48%|██████████████████████████████████████████████████████▌                                                          | 43/89 [00:11<00:17,  2.58it/s]use 570\n",
      " 49%|███████████████████████████████████████████████████████▊                                                         | 44/89 [00:12<00:17,  2.58it/s]use 560\n",
      " 51%|█████████████████████████████████████████████████████████▏                                                       | 45/89 [00:12<00:17,  2.56it/s]use 550\n",
      " 52%|██████████████████████████████████████████████████████████▍                                                      | 46/89 [00:13<00:19,  2.17it/s]use 540\n",
      " 53%|███████████████████████████████████████████████████████████▋                                                     | 47/89 [00:13<00:18,  2.27it/s]use 530\n",
      " 54%|████████████████████████████████████████████████████████████▉                                                    | 48/89 [00:14<00:17,  2.36it/s]use 520\n",
      " 55%|██████████████████████████████████████████████████████████████▏                                                  | 49/89 [00:14<00:16,  2.41it/s]use 510\n",
      " 56%|███████████████████████████████████████████████████████████████▍                                                 | 50/89 [00:14<00:15,  2.46it/s]use 500\n",
      " 57%|████████████████████████████████████████████████████████████████▊                                                | 51/89 [00:15<00:15,  2.50it/s]use 490\n",
      " 58%|██████████████████████████████████████████████████████████████████                                               | 52/89 [00:15<00:14,  2.52it/s]use 480\n",
      " 60%|███████████████████████████████████████████████████████████████████▎                                             | 53/89 [00:16<00:14,  2.54it/s]use 470\n",
      " 61%|████████████████████████████████████████████████████████████████████▌                                            | 54/89 [00:16<00:13,  2.54it/s]use 460\n",
      " 62%|█████████████████████████████████████████████████████████████████████▊                                           | 55/89 [00:16<00:13,  2.54it/s]use 450\n",
      " 63%|███████████████████████████████████████████████████████████████████████                                          | 56/89 [00:17<00:12,  2.55it/s]use 440\n",
      " 64%|████████████████████████████████████████████████████████████████████████▎                                        | 57/89 [00:17<00:12,  2.54it/s]use 430\n",
      " 65%|█████████████████████████████████████████████████████████████████████████▋                                       | 58/89 [00:18<00:12,  2.55it/s]use 420\n",
      " 66%|██████████████████████████████████████████████████████████████████████████▉                                      | 59/89 [00:18<00:11,  2.56it/s]use 410\n",
      " 67%|████████████████████████████████████████████████████████████████████████████▏                                    | 60/89 [00:18<00:11,  2.56it/s]use 400\n",
      " 69%|█████████████████████████████████████████████████████████████████████████████▍                                   | 61/89 [00:19<00:10,  2.56it/s]use 390\n",
      " 70%|██████████████████████████████████████████████████████████████████████████████▋                                  | 62/89 [00:19<00:12,  2.15it/s]use 380\n",
      " 71%|███████████████████████████████████████████████████████████████████████████████▉                                 | 63/89 [00:20<00:11,  2.26it/s]use 370\n",
      " 72%|█████████████████████████████████████████████████████████████████████████████████▎                               | 64/89 [00:20<00:10,  2.34it/s]use 360\n",
      " 73%|██████████████████████████████████████████████████████████████████████████████████▌                              | 65/89 [00:21<00:09,  2.41it/s]use 350\n",
      " 74%|███████████████████████████████████████████████████████████████████████████████████▊                             | 66/89 [00:21<00:09,  2.46it/s]use 340\n",
      " 75%|█████████████████████████████████████████████████████████████████████████████████████                            | 67/89 [00:21<00:08,  2.48it/s]use 330\n",
      " 76%|██████████████████████████████████████████████████████████████████████████████████████▎                          | 68/89 [00:22<00:08,  2.51it/s]use 320\n",
      " 78%|███████████████████████████████████████████████████████████████████████████████████████▌                         | 69/89 [00:22<00:07,  2.53it/s]use 310\n",
      " 79%|████████████████████████████████████████████████████████████████████████████████████████▉                        | 70/89 [00:22<00:07,  2.55it/s]use 300\n",
      " 80%|██████████████████████████████████████████████████████████████████████████████████████████▏                      | 71/89 [00:23<00:07,  2.55it/s]use 290\n",
      " 81%|███████████████████████████████████████████████████████████████████████████████████████████▍                     | 72/89 [00:23<00:06,  2.56it/s]use 280\n",
      " 82%|████████████████████████████████████████████████████████████████████████████████████████████▋                    | 73/89 [00:24<00:06,  2.57it/s]use 270\n",
      " 83%|█████████████████████████████████████████████████████████████████████████████████████████████▉                   | 74/89 [00:24<00:05,  2.57it/s]use 260\n",
      " 84%|███████████████████████████████████████████████████████████████████████████████████████████████▏                 | 75/89 [00:24<00:05,  2.57it/s]use 250\n",
      " 85%|████████████████████████████████████████████████████████████████████████████████████████████████▍                | 76/89 [00:25<00:05,  2.57it/s]use 240\n",
      " 87%|█████████████████████████████████████████████████████████████████████████████████████████████████▊               | 77/89 [00:25<00:04,  2.56it/s]use 230\n",
      " 88%|███████████████████████████████████████████████████████████████████████████████████████████████████              | 78/89 [00:26<00:05,  2.11it/s]use 220\n",
      " 89%|████████████████████████████████████████████████████████████████████████████████████████████████████▎            | 79/89 [00:26<00:04,  2.23it/s]use 210\n",
      " 90%|█████████████████████████████████████████████████████████████████████████████████████████████████████▌           | 80/89 [00:27<00:03,  2.32it/s]use 200\n",
      " 91%|██████████████████████████████████████████████████████████████████████████████████████████████████████▊          | 81/89 [00:27<00:03,  2.38it/s]use 190\n",
      " 92%|████████████████████████████████████████████████████████████████████████████████████████████████████████         | 82/89 [00:27<00:02,  2.43it/s]use 180\n",
      " 93%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▍       | 83/89 [00:28<00:02,  2.47it/s]use 170\n",
      " 94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▋      | 84/89 [00:28<00:02,  2.50it/s]use 160\n",
      " 96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▉     | 85/89 [00:29<00:01,  2.52it/s]use 150\n",
      " 97%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▏   | 86/89 [00:29<00:01,  2.54it/s]use 140\n",
      " 98%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▍  | 87/89 [00:29<00:00,  2.54it/s]use 130\n",
      " 99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 88/89 [00:30<00:00,  2.55it/s]use 120\n",
      "                                                                                                                                                      \r"
     ]
    }
   ],
   "source": [
    "dashboard.save(\"dashboard.html\", embed=True, max_opts=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2274f892-c753-4436-99b4-038c3de40fbd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "anaconda3-2023.03",
   "language": "python",
   "name": "anaconda3-2023.03"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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