{
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  {
   "cell_type": "markdown",
   "id": "06050c71",
   "metadata": {},
   "source": [
    "# Coordinate Systems\n",
    "\n",
    "The coordinate system determines how the x and y aesthetics combine to position elements in the plot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ded7e809",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geodata is provided by © OpenStreetMap contributors and is made available here under the Open Database License (ODbL).\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from lets_plot import *\n",
    "from lets_plot.geo_data import *"
   ]
  },
  {
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     "text": [
      "(234, 12)\n"
     ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>model</th>\n",
       "      <th>displ</th>\n",
       "      <th>year</th>\n",
       "      <th>cyl</th>\n",
       "      <th>trans</th>\n",
       "      <th>drv</th>\n",
       "      <th>cty</th>\n",
       "      <th>hwy</th>\n",
       "      <th>fl</th>\n",
       "      <th>class</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>18</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m5)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m6)</td>\n",
       "      <td>f</td>\n",
       "      <td>20</td>\n",
       "      <td>31</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(av)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>30</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>6</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 manufacturer model  displ  year  cyl       trans drv  cty  hwy  \\\n",
       "0           1         audi    a4    1.8  1999    4    auto(l5)   f   18   29   \n",
       "1           2         audi    a4    1.8  1999    4  manual(m5)   f   21   29   \n",
       "2           3         audi    a4    2.0  2008    4  manual(m6)   f   20   31   \n",
       "3           4         audi    a4    2.0  2008    4    auto(av)   f   21   30   \n",
       "4           5         audi    a4    2.8  1999    6    auto(l5)   f   16   26   \n",
       "\n",
       "  fl    class  \n",
       "0  p  compact  \n",
       "1  p  compact  \n",
       "2  p  compact  \n",
       "3  p  compact  \n",
       "4  p  compact  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv')\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
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   "execution_count": 4,
   "id": "7ec3a720",
   "metadata": {
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    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>state</th>\n",
       "      <th>found name</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wales</td>\n",
       "      <td>Wales</td>\n",
       "      <td>MULTIPOLYGON (((-5.35304 51.86591, -5.33064 51...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Scotland</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>MULTIPOLYGON (((-8.61762 57.82752, -8.56173 57...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>England</td>\n",
       "      <td>England</td>\n",
       "      <td>MULTIPOLYGON (((-6.33758 49.94591, -6.34859 49...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>Northern Ireland</td>\n",
       "      <td>MULTIPOLYGON (((-8.00601 54.54594, -7.85066 54...</td>\n",
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      ],
      "text/plain": [
       "              state        found name  \\\n",
       "0             Wales             Wales   \n",
       "1          Scotland          Scotland   \n",
       "2           England           England   \n",
       "3  Northern Ireland  Northern Ireland   \n",
       "\n",
       "                                            geometry  \n",
       "0  MULTIPOLYGON (((-5.35304 51.86591, -5.33064 51...  \n",
       "1  MULTIPOLYGON (((-8.61762 57.82752, -8.56173 57...  \n",
       "2  MULTIPOLYGON (((-6.33758 49.94591, -6.34859 49...  \n",
       "3  MULTIPOLYGON (((-8.00601 54.54594, -7.85066 54...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "states_gdf = geocode_states().scope('UK').get_boundaries(6)\n",
    "states_gdf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c521143d",
   "metadata": {},
   "source": [
    "## 1. Cartesian Coordinates\n",
    "\n",
    "The Cartesian coordinate system is the most familiar and common type of coordinate system. \n",
    "Setting limits on the coordinate system will zoom the plot like you’re looking at it with a magnifying glass. \n",
    "It does not change the underlying data as setting limits on a scale does.\n",
    "\n",
    "Typical use case: changing limits of axes."
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       "}]\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
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       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65cfa620>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    ggplot(df, aes('cty', 'hwy')) + geom_point() + ggtitle('Default'),\n",
    "    ggplot(df, aes('cty', 'hwy')) + geom_point() + \\\n",
    "        ggtitle('With coord_cartesian()') + \\\n",
    "        coord_cartesian(xlim=[10, 25], ylim=[10, 35]) \n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92948a7e",
   "metadata": {},
   "source": [
    "## 2. Fixed Coordinates\n",
    "\n",
    "A fixed scale coordinate system forces a specified ratio between the physical representations of data units on the axes.\n",
    "\n",
    "Typical use case: stretching a plot along one of the axes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "84cb1010",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:20.414330Z",
     "iopub.status.busy": "2025-11-05T13:40:20.414255Z",
     "iopub.status.idle": "2025-11-05T13:40:20.421606Z",
     "shell.execute_reply": "2025-11-05T13:40:20.421429Z"
    }
   },
   "outputs": [
    {
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       "       );\n",
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       "   if (!renderImmediately || responsive) {\n",
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       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65ab9660>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    ggplot(df, aes('cty', 'hwy')) + geom_point() + ggtitle('Default'),\n",
    "    ggplot(df, aes('cty', 'hwy')) + geom_point() + \\\n",
    "        ggtitle('With coord_fixed()') + \\\n",
    "        coord_fixed(ratio=1)\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81b559c3",
   "metadata": {},
   "source": [
    "Fixing coordinates could be combined with changing limits as for `coord_cartesian()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2851857d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:20.422507Z",
     "iopub.status.busy": "2025-11-05T13:40:20.422436Z",
     "iopub.status.idle": "2025-11-05T13:40:20.430166Z",
     "shell.execute_reply": "2025-11-05T13:40:20.429996Z"
    }
   },
   "outputs": [
    {
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       "\"hwy\":[29.0,29.0,31.0,30.0,26.0,26.0,27.0,26.0,25.0,28.0,27.0,25.0,25.0,25.0,25.0,24.0,25.0,23.0,20.0,15.0,20.0,17.0,17.0,26.0,23.0,26.0,25.0,24.0,19.0,14.0,15.0,17.0,27.0,30.0,26.0,29.0,26.0,24.0,24.0,22.0,22.0,24.0,24.0,17.0,22.0,21.0,23.0,23.0,19.0,18.0,17.0,17.0,19.0,19.0,12.0,17.0,15.0,17.0,17.0,12.0,17.0,16.0,18.0,15.0,16.0,12.0,17.0,17.0,16.0,12.0,15.0,16.0,17.0,15.0,17.0,17.0,18.0,17.0,19.0,17.0,19.0,19.0,17.0,17.0,17.0,16.0,16.0,17.0,15.0,17.0,26.0,25.0,26.0,24.0,21.0,22.0,23.0,22.0,20.0,33.0,32.0,32.0,29.0,32.0,34.0,36.0,36.0,29.0,26.0,27.0,30.0,31.0,26.0,26.0,28.0,26.0,29.0,28.0,27.0,24.0,24.0,24.0,22.0,19.0,20.0,17.0,12.0,19.0,18.0,14.0,15.0,18.0,18.0,15.0,17.0,16.0,18.0,17.0,19.0,19.0,17.0,29.0,27.0,31.0,32.0,27.0,26.0,26.0,25.0,25.0,17.0,17.0,20.0,18.0,26.0,26.0,27.0,28.0,25.0,25.0,24.0,27.0,25.0,26.0,23.0,26.0,26.0,26.0,26.0,25.0,27.0,25.0,27.0,20.0,20.0,19.0,17.0,20.0,17.0,29.0,27.0,31.0,31.0,26.0,26.0,28.0,27.0,29.0,31.0,31.0,26.0,26.0,27.0,30.0,33.0,35.0,37.0,35.0,15.0,18.0,20.0,20.0,22.0,17.0,19.0,18.0,20.0,29.0,26.0,29.0,29.0,24.0,44.0,29.0,26.0,29.0,29.0,29.0,29.0,23.0,24.0,44.0,41.0,29.0,26.0,28.0,29.0,29.0,29.0,28.0,29.0,26.0,26.0,26.0]\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"cty\",\n",
       "\"y\":\"hwy\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"Unnamed: 0\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"manufacturer\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"model\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"displ\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"year\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cyl\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"trans\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"drv\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cty\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"hwy\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"fl\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"class\"\n",
       "}]\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"With changing limits\"\n",
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       "\"coord\":{\n",
       "\"name\":\"fixed\",\n",
       "\"ratio\":1.0,\n",
       "\"xlim\":[10.0,30.0],\n",
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       "\"flip\":false\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
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       "},\n",
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       "\"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",
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       "   \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",
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       "   \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",
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       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
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       "                       break;\n",
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       "               }\n",
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       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
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       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65ac5930>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    ggplot(df, aes('cty', 'hwy')) + geom_point() + \\\n",
    "        coord_fixed(ratio=1) + ggtitle('Stretching only'),\n",
    "    ggplot(df, aes('cty', 'hwy')) + geom_point() + \\\n",
    "        ggtitle('With changing limits') + \\\n",
    "        coord_fixed(ratio=1, xlim=[10, 30], ylim=[10, 40])\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf991252",
   "metadata": {},
   "source": [
    "## 3. Flipping Coordinates\n",
    "\n",
    "You can flip axis of default coordinate system so that horizontal axis becomes vertical and vice versa."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "25b84153",
   "metadata": {
    "execution": {
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     "iopub.status.busy": "2025-11-05T13:40:20.430994Z",
     "iopub.status.idle": "2025-11-05T13:40:20.438270Z",
     "shell.execute_reply": "2025-11-05T13:40:20.438081Z"
    }
   },
   "outputs": [
    {
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       "\"type\":\"str\",\n",
       "\"column\":\"trans\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"drv\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cty\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"hwy\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"fl\"\n",
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       "\"type\":\"str\",\n",
       "\"column\":\"class\"\n",
       "}]\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"With coord_flip()\"\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"flip\",\n",
       "\"flip\":true\n",
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       "},\n",
       "\"data\":{\n",
       "\"..count..\":[52.0,168.0,8.0,5.0,1.0],\n",
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       "}\n",
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       "\"metainfo_list\":[],\n",
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       "};\n",
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       "       forceImmediateRender || (\n",
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       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
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       "       renderPlot();\n",
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       "       var observer = new ResizeObserver(function(entries) {\n",
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       "                       observer.disconnect();\n",
       "                       observer = null;\n",
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       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65b3c280>"
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    "gggrid([\n",
    "    ggplot(df, aes(x='fl')) + geom_bar() + ggtitle('Default'),\n",
    "    ggplot(df, aes(x='fl')) + geom_bar() + \\\n",
    "        ggtitle('With coord_flip()') + coord_flip()\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad0fe8d9",
   "metadata": {},
   "source": [
    "Flipping could also be combined with changing limits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "05a7d75d",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2025-11-05T13:40:20.446837Z"
    }
   },
   "outputs": [
    {
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       "   <div id=\"dqghIV\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
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       "\"data\":{\n",
       "\"..count..\":[52.0,168.0,8.0,5.0,1.0],\n",
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       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65cbf310>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    ggplot(df, aes(x='fl')) + geom_bar() + \\\n",
    "        coord_flip() + ggtitle('Flipping only'),\n",
    "    ggplot(df, aes(x='fl')) + geom_bar() + \\\n",
    "        coord_flip(ylim=[0, 300]) + ggtitle('With changing limits') + \\\n",
    "        theme(plot_margin=[0, 5])\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7415cdb",
   "metadata": {},
   "source": [
    "Also, you can add flip as an option for coordinate system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "be2a6e7b",
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     "shell.execute_reply": "2025-11-05T13:40:20.454775Z"
    }
   },
   "outputs": [
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    "gggrid([\n",
    "    ggplot(df, aes(x='fl')) + geom_bar() + \\\n",
    "        coord_flip() + ggtitle('Flipping via coord_flip()'),\n",
    "    ggplot(df, aes(x='fl')) + geom_bar() + \\\n",
    "        coord_cartesian(flip=True) + ggtitle('Flipping via flip=True')\n",
    "])"
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  {
   "cell_type": "markdown",
   "id": "51be9b04-ceb5-443f-9d26-eeeb2a3539df",
   "metadata": {},
   "source": [
    "Tooltips after `coord_flip()` are flipped too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7fbb53d8-e3c3-416e-855a-6d81726eb587",
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       "\"class\":[\"compact\",\"midsize\",\"suv\",\"2seater\",\"minivan\",\"pickup\",\"subcompact\"]\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"stat\":\"boxplot_outlier\",\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"y\":\"hwy\"\n",
       "},\n",
       "\"show_legend\":false,\n",
       "\"data_meta\":{\n",
       "\"mapping_annotations\":[{\n",
       "\"parameters\":{\n",
       "\"label\":\"class\",\n",
       "\"order_by\":\"..middle..\",\n",
       "\"order\":1.0\n",
       "},\n",
       "\"aes\":\"x\",\n",
       "\"annotation\":\"as_discrete\"\n",
       "}]\n",
       "},\n",
       "\"data\":{\n",
       "\"..middle..\":[27.0,27.0,27.0,27.0,27.0,17.5,17.5,17.5,17.5,17.5,17.5,17.5,17.5,25.0,23.0,17.0,17.0,17.0,17.0,26.0,26.0],\n",
       "\"..lower..\":[26.0,26.0,26.0,26.0,26.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,24.0,22.0,16.0,16.0,16.0,16.0,24.5,24.5],\n",
       "\"..upper..\":[29.0,29.0,29.0,29.0,29.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,26.0,24.0,18.0,18.0,18.0,18.0,30.5,30.5],\n",
       "\"..ymin..\":[23.0,23.0,23.0,23.0,23.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,14.0,23.0,21.0,15.0,15.0,15.0,15.0,20.0,20.0],\n",
       "\"..ymax..\":[33.0,33.0,33.0,33.0,32.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,22.0,26.0,24.0,20.0,20.0,20.0,20.0,36.0,36.0],\n",
       "\"class\":[\"compact\",\"compact\",\"compact\",\"compact\",\"midsize\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"2seater\",\"minivan\",\"pickup\",\"pickup\",\"pickup\",\"pickup\",\"subcompact\",\"subcompact\"],\n",
       "\"hwy\":[35.0,37.0,35.0,44.0,NaN,12.0,12.0,25.0,24.0,27.0,25.0,26.0,23.0,NaN,17.0,12.0,12.0,12.0,22.0,44.0,41.0]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"14\"\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 0x7bea65b821a0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    ggplot(df) + geom_boxplot(aes(as_discrete('class',order=1, order_by='..middle..'), 'hwy')) + \\\n",
    "        theme(axis_title_x='blank') + ggtitle('Default'),\n",
    "    ggplot(df) + geom_boxplot(aes(as_discrete('class',order=1, order_by='..middle..'), 'hwy')) + \\\n",
    "        theme(axis_title_y='blank') + coord_flip() + ggtitle('Flipped')\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82294706",
   "metadata": {},
   "source": [
    "## 4. Map Coordinates\n",
    "\n",
    "`coord_map()` projects a portion of the earth, which is approximately spherical, onto a flat 2D plane. Map projections generally do not preserve straight lines, so this requires considerable computation.\n",
    "\n",
    "Typical use case: geospatial data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "46cef4c3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:20.465803Z",
     "iopub.status.busy": "2025-11-05T13:40:20.465728Z",
     "iopub.status.idle": "2025-11-05T13:40:20.511314Z",
     "shell.execute_reply": "2025-11-05T13:40:20.511019Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "   <div id=\"lncZOA\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
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       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
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       "           width: parseFloat(preferredWidth)\n",
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       "   const containerDiv = document.getElementById(\"lncZOA\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
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       "},\n",
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       "},\n",
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       "},{\n",
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       "}],\n",
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       "}],\n",
       "\"metainfo_list\":[],\n",
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       "}]\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
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       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
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       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65ad6d40>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    ggplot() + geom_polygon(aes(fill='state'), data=states_gdf) + \\\n",
    "        ggtitle('Default'),\n",
    "    ggplot() + geom_polygon(aes(fill='state'), data=states_gdf, tooltips='none') + \\\n",
    "        coord_map() + ggtitle('With coord_map()')\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41a12861",
   "metadata": {},
   "source": [
    "Parameters `xlim`, `ylim`, `flip` are also available for `coord_map()`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "956ab8ab-67df-4546-adcd-2fbb0d2ae1e6",
   "metadata": {},
   "source": [
    "## 5. Polar Coordinates\n",
    "\n",
    "Typical use case: pie charts and polar plots."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4469d9e3-c688-4b23-8d06-5200bf0a6bcb",
   "metadata": {},
   "source": [
    "Let's set `theme_grey()` to improve plots readability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8dac58d6-9e09-4738-a5cb-0e0d3a2654dd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:20.512116Z",
     "iopub.status.busy": "2025-11-05T13:40:20.512037Z",
     "iopub.status.idle": "2025-11-05T13:40:20.513410Z",
     "shell.execute_reply": "2025-11-05T13:40:20.513223Z"
    }
   },
   "outputs": [],
   "source": [
    "LetsPlot.set_theme(theme_grey())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe5c7392-4f28-446b-bbb6-2adfa308c099",
   "metadata": {},
   "source": [
    "### 5.1. Pie Chart\n",
    "`geom_bar()` with `coord_polar()` is transformed to a pie chart. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "da028518-b14e-4da0-89a4-d11ec1c445e1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:20.514173Z",
     "iopub.status.busy": "2025-11-05T13:40:20.514103Z",
     "iopub.status.idle": "2025-11-05T13:40:20.522773Z",
     "shell.execute_reply": "2025-11-05T13:40:20.522592Z"
    }
   },
   "outputs": [
    {
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       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65b9ee30>"
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    "gggrid([\n",
    "    ggplot(df) + geom_bar(aes(fill=as_discrete('cyl')), size=0) + ggtitle('From Bar Chart'),\n",
    "    ggplot(df) + geom_bar(aes(fill=as_discrete('cyl')), size=0) + \\\n",
    "        coord_polar(theta='y') + ggtitle('To Pie Chart')\n",
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  {
   "cell_type": "markdown",
   "id": "a4ae6a38-262a-4a67-96cc-815d39321de7",
   "metadata": {},
   "source": [
    "### 5.2. Various Bar Charts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ad7ae97f-1f82-495e-85a2-3a2425d29fb1",
   "metadata": {
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     "iopub.status.busy": "2025-11-05T13:40:20.523346Z",
     "iopub.status.idle": "2025-11-05T13:40:20.542024Z",
     "shell.execute_reply": "2025-11-05T13:40:20.541695Z"
    }
   },
   "outputs": [
    {
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      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea659efe80>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bull_eye = ggplot(df) + \\\n",
    "    geom_bar(aes(fill=as_discrete('cyl')), size=0, show_legend=False)\n",
    "    \n",
    "radial_bar = ggplot(df) + \\\n",
    "    geom_bar(aes(fill=as_discrete('cyl')), size=0, position='dodge', show_legend=False)\n",
    "    \n",
    "coxcomb = ggplot(df) + \\\n",
    "    geom_bar(aes(fill=as_discrete('cyl')), size=0, position='dodge', show_legend=False)\n",
    "\n",
    "gggrid([\n",
    "    bull_eye + coord_polar() + ggtitle('Bulls eye'),\n",
    "    radial_bar + coord_polar(theta='y') + ggtitle('Radial bar chart'),\n",
    "    coxcomb + coord_polar() + ggtitle('Coxcomb plot'),\n",
    "\n",
    "    bull_eye + ggtitle('was:'),\n",
    "    radial_bar + ggtitle('was:'),\n",
    "    coxcomb + ggtitle('was:'),\n",
    "], ncol=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58510e31-63be-49c5-b456-cd364d71ce16",
   "metadata": {},
   "source": [
    "### 5.3. Parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c79c8808-2644-4c3b-825a-2a7b6f0797ce",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:20.542783Z",
     "iopub.status.busy": "2025-11-05T13:40:20.542693Z",
     "iopub.status.idle": "2025-11-05T13:40:20.544803Z",
     "shell.execute_reply": "2025-11-05T13:40:20.544360Z"
    }
   },
   "outputs": [],
   "source": [
    "labels_df = {\n",
    "    'x': [0, 1, 2, 3, 4, 5, 6, 7, 8],\n",
    "    'y': [0, 45, 90, 135, 180, 225, 270, 315, 360],\n",
    "    'r_y': [360, 315, 270, 225, 180, 135, 90, 45, 0],\n",
    "    'l': ['l0', 'l45', 'l90', 'l135', 'l180', 'l225', 'l270', 'l315', 'l360'],\n",
    "    'g': ['g1', 'g1', 'g1', 'g2', 'g2', 'g2', 'g3', 'g3', 'g3']\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bdb1a3d3-e224-47d0-a6d3-6fbfa46a1ff7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:20.545586Z",
     "iopub.status.busy": "2025-11-05T13:40:20.545465Z",
     "iopub.status.idle": "2025-11-05T13:40:20.549183Z",
     "shell.execute_reply": "2025-11-05T13:40:20.549010Z"
    }
   },
   "outputs": [
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     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1 = ggplot(labels_df, aes(x='x', y='y', color='y')) + \\\n",
    "    geom_path(size=3, show_legend=False) + scale_color_brewer(palette='GnBu')\n",
    "\n",
    "p1 + coord_polar() + ggtitle('Default plot with coord_polar()')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbc16b66-052a-47c4-9091-249865c0445e",
   "metadata": {},
   "source": [
    "#### `transform_bkgr`\n",
    "\n",
    "When using the `transform_bkgr` parameter, the panel is not transformed into a circle but remains a rectangle. "
   ]
  },
  {
   "cell_type": "code",
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       "<lets_plot.plot.core.PlotSpec at 0x7bea659ee7d0>"
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    "p1 + coord_polar(transform_bkgr=False) + ggtitle('coord_polar(transform_bkgr=False)') "
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   "id": "2b2a0df5-590d-4f3c-bac2-9621ff8aa520",
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   "source": [
    "#### `direction`\n",
    "\n",
    "You can specify angle direction: 1 = clockwise, -1 = counter-clockwise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
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       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7bea65a698a0>"
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   ],
   "source": [
    "p1 + coord_polar(direction=-1) + ggtitle('coord_polar(direction=-1)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3c1ee0b-ce39-40c4-93f6-1e92d5e4f4cb",
   "metadata": {},
   "source": [
    "#### `start`\n",
    "\n",
    "This parameter specifies the offset relative to the starting angle (12 o'clock) in radians."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
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       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65a6aaa0>"
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    "gggrid([\n",
    "    p1 + coord_polar(start=3.14 / 2) + ggtitle('start=PI/2'),\n",
    "    p1 + coord_polar(start=-3.14 / 2) + ggtitle('start=-PI/2')\n",
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  {
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   "source": [
    "#### `theta`\n",
    "\n",
    "The `theta` parameter allows to select aesthetic used to map angle.\n",
    "\n",
    "Note. Use the `flat` parameter in path-based geoms to construct a radar plot."
   ]
  },
  {
   "cell_type": "code",
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       "\"subj\":[\"progr\",\"math\",\"physic\",\"chemistry\",\"biology\"],\n",
       "\"student\":[\"John\",\"John\",\"John\",\"John\",\"John\"],\n",
       "\"score\":[19.0,15.0,18.0,12.0,9.0]\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"subj\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"subj_id\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"student\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"score\"\n",
       "}]\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"polar\",\n",
       "\"theta\":\"x\"\n",
       "},\n",
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       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"path\",\n",
       "\"mapping\":{\n",
       "\"x\":\"subj\",\n",
       "\"y\":\"score\",\n",
       "\"color\":\"student\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"flat\":true,\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"subj\",\n",
       "\"y\":\"score\",\n",
       "\"color\":\"student\"\n",
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       "},{\n",
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       "\"subj\":[\"progr\",\"math\",\"physic\",\"chemistry\",\"biology\"],\n",
       "\"student\":[\"John\",\"John\",\"John\",\"John\",\"John\"],\n",
       "\"score\":[19.0,15.0,18.0,12.0,9.0]\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"subj\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"subj_id\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"student\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"score\"\n",
       "}]\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"polar\",\n",
       "\"theta\":\"y\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"path\",\n",
       "\"mapping\":{\n",
       "\"x\":\"subj\",\n",
       "\"y\":\"score\",\n",
       "\"color\":\"student\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"flat\":true,\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"subj\",\n",
       "\"y\":\"score\",\n",
       "\"color\":\"student\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"31\"\n",
       "}]\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
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       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
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       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
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      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7bea65b0cc10>"
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     "execution_count": 21,
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   ],
   "source": [
    "data1 = {\n",
    "    'subj': ['progr', 'math', 'physic', 'chemistry', 'biology'],\n",
    "    'subj_id': [1, 2, 3, 4, 5],\n",
    "    'student': ['John'] * 5,\n",
    "    'score': [19, 15, 18, 12, 9]\n",
    "}\n",
    "\n",
    "p2 = ggplot(data1) + \\\n",
    "    geom_path(aes(x='subj', y='score', color='student'), flat=True) + \\\n",
    "    geom_point(aes(x='subj', y='score', color='student')) \n",
    "\n",
    "gggrid([\n",
    "    p2 + coord_polar(theta='x'),\n",
    "    p2 + coord_polar(theta='y')\n",
    "])"
   ]
  },
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   "cell_type": "markdown",
   "id": "cea7242f-87f0-4a47-9b75-1e4c455c3bf8",
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    "#### `xlim` and `ylim`\n",
    "\n",
    "The `xlim` parameter can be used to fix overlapping between first and last value.  \n",
    "The `ylim` parameter can be used to move data out of the center.  \n",
    "\n",
    "To prevent `biology` and `progr` overlapping let's change the `xlim` to `[None, 5]` (`None` is to keep the default minimum limit as this value is not important to us).  \n",
    "To show the full score range we change the `ylim` to `[1, 20]`."
   ]
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    "gggrid([\n",
    "    p2 + coord_polar(),\n",
    "    p2 + coord_polar(xlim=[None, 5], ylim=[1, 20])\n",
    "])  "
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   "source": [
    "### 5.4. Theming\n",
    "\n",
    "The polar coordinate system supports axis theme options, incorporates specialized logic for the theme's `panel_inset` parameter, and offers its own `transform_bkgr` option to manage plot panel transformation:"
   ]
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       "           const plotSpec = {\n",
       "\"data\":{\n",
       "\"model\":[\"a4\",\"a4\",\"a4\",\"a4\",\"a4\",\"a4\",\"a4\",\"a4 quattro\",\"a4 quattro\",\"a4 quattro\",\"a4 quattro\",\"a4 quattro\",\"a4 quattro\",\"a4 quattro\",\"a4 quattro\",\"a6 quattro\",\"a6 quattro\",\"a6 quattro\",\"c1500 suburban 2wd\",\"c1500 suburban 2wd\",\"c1500 suburban 2wd\",\"c1500 suburban 2wd\",\"c1500 suburban 2wd\",\"corvette\",\"corvette\",\"corvette\",\"corvette\",\"corvette\",\"k1500 tahoe 4wd\",\"k1500 tahoe 4wd\",\"k1500 tahoe 4wd\",\"k1500 tahoe 4wd\",\"malibu\",\"malibu\",\"malibu\",\"malibu\",\"malibu\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"caravan 2wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"dakota pickup 4wd\",\"durango 4wd\",\"durango 4wd\",\"durango 4wd\",\"durango 4wd\",\"durango 4wd\",\"durango 4wd\",\"durango 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"ram 1500 pickup 4wd\",\"expedition 2wd\",\"expedition 2wd\",\"expedition 2wd\",\"explorer 4wd\",\"explorer 4wd\",\"explorer 4wd\",\"explorer 4wd\",\"explorer 4wd\",\"explorer 4wd\",\"f150 pickup 4wd\",\"f150 pickup 4wd\",\"f150 pickup 4wd\",\"f150 pickup 4wd\",\"f150 pickup 4wd\",\"f150 pickup 4wd\",\"f150 pickup 4wd\",\"mustang\",\"mustang\",\"mustang\",\"mustang\",\"mustang\",\"mustang\",\"mustang\",\"mustang\",\"mustang\",\"civic\",\"civic\",\"civic\",\"civic\",\"civic\",\"civic\",\"civic\",\"civic\",\"civic\",\"sonata\",\"sonata\",\"sonata\",\"sonata\",\"sonata\",\"sonata\",\"sonata\",\"tiburon\",\"tiburon\",\"tiburon\",\"tiburon\",\"tiburon\",\"tiburon\",\"tiburon\",\"grand cherokee 4wd\",\"grand cherokee 4wd\",\"grand cherokee 4wd\",\"grand cherokee 4wd\",\"grand cherokee 4wd\",\"grand cherokee 4wd\",\"grand cherokee 4wd\",\"grand cherokee 4wd\",\"range rover\",\"range rover\",\"range rover\",\"range rover\",\"navigator 2wd\",\"navigator 2wd\",\"navigator 2wd\",\"mountaineer 4wd\",\"mountaineer 4wd\",\"mountaineer 4wd\",\"mountaineer 4wd\",\"altima\",\"altima\",\"altima\",\"altima\",\"altima\",\"altima\",\"maxima\",\"maxima\",\"maxima\",\"pathfinder 4wd\",\"pathfinder 4wd\",\"pathfinder 4wd\",\"pathfinder 4wd\",\"grand prix\",\"grand prix\",\"grand prix\",\"grand prix\",\"grand prix\",\"forester awd\",\"forester awd\",\"forester awd\",\"forester awd\",\"forester awd\",\"forester awd\",\"impreza awd\",\"impreza awd\",\"impreza awd\",\"impreza awd\",\"impreza awd\",\"impreza awd\",\"impreza awd\",\"impreza awd\",\"4runner 4wd\",\"4runner 4wd\",\"4runner 4wd\",\"4runner 4wd\",\"4runner 4wd\",\"4runner 4wd\",\"camry\",\"camry\",\"camry\",\"camry\",\"camry\",\"camry\",\"camry\",\"camry solara\",\"camry solara\",\"camry solara\",\"camry solara\",\"camry solara\",\"camry solara\",\"camry solara\",\"corolla\",\"corolla\",\"corolla\",\"corolla\",\"corolla\",\"land cruiser wagon 4wd\",\"land cruiser wagon 4wd\",\"toyota tacoma 4wd\",\"toyota tacoma 4wd\",\"toyota tacoma 4wd\",\"toyota tacoma 4wd\",\"toyota tacoma 4wd\",\"toyota tacoma 4wd\",\"toyota tacoma 4wd\",\"gti\",\"gti\",\"gti\",\"gti\",\"gti\",\"jetta\",\"jetta\",\"jetta\",\"jetta\",\"jetta\",\"jetta\",\"jetta\",\"jetta\",\"jetta\",\"new beetle\",\"new beetle\",\"new beetle\",\"new beetle\",\"new beetle\",\"new beetle\",\"passat\",\"passat\",\"passat\",\"passat\",\"passat\",\"passat\",\"passat\"],\n",
       "\"cty\":[18.0,21.0,20.0,21.0,16.0,18.0,18.0,18.0,16.0,20.0,19.0,15.0,17.0,17.0,15.0,15.0,17.0,16.0,14.0,11.0,14.0,13.0,12.0,16.0,15.0,16.0,15.0,15.0,14.0,11.0,11.0,14.0,19.0,22.0,18.0,18.0,17.0,18.0,17.0,16.0,16.0,17.0,17.0,11.0,15.0,15.0,16.0,16.0,15.0,14.0,13.0,14.0,14.0,14.0,9.0,11.0,11.0,13.0,13.0,9.0,13.0,11.0,13.0,11.0,12.0,9.0,13.0,13.0,12.0,9.0,11.0,11.0,13.0,11.0,11.0,11.0,12.0,14.0,15.0,14.0,13.0,13.0,13.0,14.0,14.0,13.0,13.0,13.0,11.0,13.0,18.0,18.0,17.0,16.0,15.0,15.0,15.0,15.0,14.0,28.0,24.0,25.0,23.0,24.0,26.0,25.0,24.0,21.0,18.0,18.0,21.0,21.0,18.0,18.0,19.0,19.0,19.0,20.0,20.0,17.0,16.0,17.0,17.0,15.0,15.0,14.0,9.0,14.0,13.0,11.0,11.0,12.0,12.0,11.0,11.0,11.0,12.0,14.0,13.0,13.0,13.0,21.0,19.0,23.0,23.0,19.0,19.0,18.0,19.0,19.0,14.0,15.0,14.0,12.0,18.0,16.0,17.0,18.0,16.0,18.0,18.0,20.0,19.0,20.0,18.0,21.0,19.0,19.0,19.0,20.0,20.0,19.0,20.0,15.0,16.0,15.0,15.0,16.0,14.0,21.0,21.0,21.0,21.0,18.0,18.0,19.0,21.0,21.0,21.0,22.0,18.0,18.0,18.0,24.0,24.0,26.0,28.0,26.0,11.0,13.0,15.0,16.0,17.0,15.0,15.0,15.0,16.0,21.0,19.0,21.0,22.0,17.0,33.0,21.0,19.0,22.0,21.0,21.0,21.0,16.0,17.0,35.0,29.0,21.0,19.0,20.0,20.0,21.0,18.0,19.0,21.0,16.0,18.0,17.0]\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"Unnamed: 0\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"manufacturer\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"model\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"displ\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"year\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cyl\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"trans\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"drv\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cty\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"hwy\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"fl\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"class\"\n",
       "}]\n",
       "},\n",
       "\"theme\":{\n",
       "\"name\":\"grey\",\n",
       "\"axis_text_x\":{\n",
       "\"color\":\"blue\",\n",
       "\"angle\":10.0,\n",
       "\"hjust\":0.4,\n",
       "\"vjust\":0.7,\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_text_y\":{\n",
       "\"color\":\"red\",\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_ticks_x\":{\n",
       "\"color\":\"blue\",\n",
       "\"size\":3.0,\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_ticks_y\":{\n",
       "\"color\":\"red\",\n",
       "\"size\":5.0,\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_ticks_length_x\":10.0,\n",
       "\"axis_ticks_length_y\":5.0,\n",
       "\"axis_line_x\":{\n",
       "\"color\":\"blue\",\n",
       "\"size\":2.0,\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_line_y\":{\n",
       "\"color\":\"red\",\n",
       "\"size\":2.0,\n",
       "\"blank\":false\n",
       "},\n",
       "\"panel_inset\":[20.0,140.0,30.0,135.0]\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":900.0,\n",
       "\"height\":500.0\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"polar\",\n",
       "\"transform_bkgr\":false\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"aesthetic\":\"fill\",\n",
       "\"limits\":[5.0,40.0],\n",
       "\"low\":\"red\",\n",
       "\"high\":\"white\",\n",
       "\"scale_mapper_kind\":\"color_gradient\"\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bar\",\n",
       "\"stat\":\"identity\",\n",
       "\"mapping\":{\n",
       "\"x\":\"model\",\n",
       "\"y\":\"cty\",\n",
       "\"fill\":\"cty\"\n",
       "},\n",
       "\"position\":\"dodge\",\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"34\"\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.core.PlotSpec at 0x7bea659f9450>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(df) + \\\n",
    "    geom_bar(aes(x='model', y='cty', fill='cty'), stat='identity', position='dodge') + \\\n",
    "    scale_fill_gradient(low='red', high='white', limits=(5, 40)) + \\\n",
    "    theme(axis_line_y=element_line(color='red', size=2),\n",
    "          axis_line_x=element_line(color='blue', size=2),\n",
    "          axis_ticks_length_y=5,\n",
    "          axis_ticks_length_x=10,\n",
    "          axis_ticks_y=element_line(size=5, color='red'),\n",
    "          axis_ticks_x=element_line(size=3, color='blue'),\n",
    "          axis_text_x=element_text(color='blue', angle=10, vjust=.7, hjust=.4),\n",
    "          axis_text_y=element_text(color='red'),\n",
    "          panel_inset=[20, 140, 30, 135]) + \\\n",
    "    ggsize(900, 500) + \\\n",
    "    coord_polar(transform_bkgr=False)"
   ]
  }
 ],
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