{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotly Scatter Plot\n",
    "\n",
    "This example reviews plotting a scatter plot from a GeoDataFrame using plotly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-19T16:48:10.494219Z",
     "start_time": "2020-04-19T16:48:09.076212Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('20.04.0', '0.7.0', '4.6.0')"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import mapped\n",
    "import geopandas as gpd\n",
    "import plotly\n",
    "mapped.__version__, gpd.__version__, plotly.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First load some example point data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-19T16:48:10.521905Z",
     "start_time": "2020-04-19T16:48:10.496020Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>number</th>\n",
       "      <th>letter</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>73.522015</td>\n",
       "      <td>A</td>\n",
       "      <td>POINT (-9945192.638 5333669.463)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>59.605820</td>\n",
       "      <td>A</td>\n",
       "      <td>POINT (-9952134.036 5321688.221)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>52.676887</td>\n",
       "      <td>A</td>\n",
       "      <td>POINT (-9937860.167 5328515.553)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22.133990</td>\n",
       "      <td>B</td>\n",
       "      <td>POINT (-9948386.303 5310253.324)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>34.937765</td>\n",
       "      <td>A</td>\n",
       "      <td>POINT (-9963868.554 5319452.429)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      number letter                          geometry\n",
       "1  73.522015      A  POINT (-9945192.638 5333669.463)\n",
       "2  59.605820      A  POINT (-9952134.036 5321688.221)\n",
       "3  52.676887      A  POINT (-9937860.167 5328515.553)\n",
       "6  22.133990      B  POINT (-9948386.303 5310253.324)\n",
       "7  34.937765      A  POINT (-9963868.554 5319452.429)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from mapped.example_data import mad_points\n",
    "points = mad_points()\n",
    "points.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-19T16:48:11.339287Z",
     "start_time": "2020-04-19T16:48:10.524207Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e380a93643c3498ab1bb1babc9d7dd19",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FigureWidget({\n",
       "    'data': [{'hovertemplate': ('<b>%{hovertext}</b><br><br>let' ... '}<br>lon=%{lon}<extra></e…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points.plotly_scatter(\n",
    "    color='letter', \n",
    "    size='number', \n",
    "    text='letter', \n",
    ")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    ".. currentmodule:: mapped\n",
    "\n",
    ".. automethod:: GeoDataFrame.plotly_scatter"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
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