{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "188d2814-6a99-49a1-8968-abd9b3e503ea",
   "metadata": {},
   "source": [
    "# Scale Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a68b1c0c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:04:19.288151Z",
     "iopub.status.busy": "2026-01-27T17:04:19.288056Z",
     "iopub.status.idle": "2026-01-27T17:04:19.290777Z",
     "shell.execute_reply": "2026-01-27T17:04:19.290492Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b3826f1a-4006-4706-9d90-dc8e022565ed",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:04:19.291557Z",
     "iopub.status.busy": "2026-01-27T17:04:19.291483Z",
     "iopub.status.idle": "2026-01-27T17:04:19.293119Z",
     "shell.execute_reply": "2026-01-27T17:04:19.292833Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <div id=\"NcAIk7\"></div>\n",
       "        <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
       "            if(!window.letsPlotCallQueue) {\n",
       "                window.letsPlotCallQueue = [];\n",
       "            };\n",
       "            window.letsPlotCall = function(f) {\n",
       "                window.letsPlotCallQueue.push(f);\n",
       "            };\n",
       "            (function() {\n",
       "                var script = document.createElement(\"script\");\n",
       "                script.type = \"text/javascript\";\n",
       "                script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.8.2/js-package/distr/lets-plot.min.js\";\n",
       "                script.onload = function() {\n",
       "                    window.letsPlotCall = function(f) {f();};\n",
       "                    window.letsPlotCallQueue.forEach(function(f) {f();});\n",
       "                    window.letsPlotCallQueue = [];\n",
       "                    \n",
       "                };\n",
       "                script.onerror = function(event) {\n",
       "                    window.letsPlotCall = function(f) {};    // noop\n",
       "                    window.letsPlotCallQueue = [];\n",
       "                    var div = document.createElement(\"div\");\n",
       "                    div.style.color = 'darkred';\n",
       "                    div.textContent = 'Error loading Lets-Plot JS';\n",
       "                    document.getElementById(\"NcAIk7\").appendChild(div);\n",
       "                };\n",
       "                var e = document.getElementById(\"NcAIk7\");\n",
       "                e.appendChild(script);\n",
       "            })()\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4377ea51",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:04:19.294064Z",
     "iopub.status.busy": "2026-01-27T17:04:19.293977Z",
     "iopub.status.idle": "2026-01-27T17:04:19.296375Z",
     "shell.execute_reply": "2026-01-27T17:04:19.296007Z"
    }
   },
   "outputs": [],
   "source": [
    "def time_plot(title, time, y=False):\n",
    "    np.random.seed(0)\n",
    "    value = np.random.normal(loc=-5, scale=6, size=len(time))\n",
    "    d = {'time': time, 'value': value}\n",
    "    if y:\n",
    "        return ggplot(d) + geom_line(aes('value', 'time')) + scale_y_time() + ggtitle(title)\n",
    "    else:\n",
    "        return ggplot(d) + geom_line(aes('time', 'value')) + scale_x_time() + ggtitle(title)\n",
    "\n",
    "def serie(start, end, duration, step = None):\n",
    "    if step is None:\n",
    "        step = 1 * duration\n",
    "        \n",
    "    return [v for v in range(start * duration, end * duration, step)]\n",
    "\n",
    "MS = 1\n",
    "SECOND = 1000 * MS\n",
    "MINUTE = 60 * SECOND\n",
    "HOUR = 60 * MINUTE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c3497852",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-01-27T17:04:19.297104Z",
     "iopub.status.busy": "2026-01-27T17:04:19.297035Z",
     "iopub.status.idle": "2026-01-27T17:04:19.342074Z",
     "shell.execute_reply": "2026-01-27T17:04:19.341726Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"EscRJj\" ></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
       "   (function() {\n",
       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
       "       height_mode: \"SCALED\",\n",
       "       width: null, \n",
       "       height: null \n",
       "   };\n",
       "   \n",
       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
       "           width_mode: 'FIXED',\n",
       "           height_mode: 'SCALED',\n",
       "           width: parseFloat(preferredWidth)\n",
       "       };\n",
       "   }\n",
       "   \n",
       "   const containerDiv = document.getElementById(\"EscRJj\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
       "\"ggsize\":{\n",
       "\"width\":960.0,\n",
       "\"height\":900.0\n",
       "},\n",
       "\"kind\":\"subplots\",\n",
       "\"layout\":{\n",
       "\"ncol\":2.0,\n",
       "\"nrow\":3.0,\n",
       "\"name\":\"grid\"\n",
       "},\n",
       "\"figures\":[{\n",
       "\"data\":{\n",
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       "\"column\":\"value\"\n",
       "}]\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"-30..30 minutes\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"aesthetic\":\"x\",\n",
       "\"time\":true\n",
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       "\"layers\":[{\n",
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       "\"data\":{\n",
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       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"5\"\n",
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       "\"data_meta\":{\n",
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       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"value\"\n",
       "}]\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"-30..30 minutes + scale_y_time()\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"aesthetic\":\"y\",\n",
       "\"time\":true\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"geom\":\"line\",\n",
       "\"mapping\":{\n",
       "\"x\":\"value\",\n",
       "\"y\":\"time\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"6\"\n",
       "}]\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x756b1a761fc0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    time_plot(\"5 seconds\", serie(0, 5000, MS, step = 5*MS)),\n",
    "    time_plot(\"24 hours\", serie(0, 24, HOUR, step = 30*MINUTE)),\n",
    "    time_plot(\"5 days\", serie(0, 120, HOUR)),\n",
    "    time_plot(\"30 days\", serie(0, 720, HOUR)),\n",
    "    time_plot(\"-30..30 minutes\", serie(-30, 30, MINUTE)),\n",
    "    time_plot(\"-30..30 minutes + scale_y_time()\", serie(-30, 30, MINUTE), y=True)\n",
    "], ncol=2) + ggsize(960, 900)"
   ]
  }
 ],
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