H3_test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "excited-theater",
   "metadata": {},
   "source": [
    "## H3 test with H3-pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "floral-cotton",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "appropriate-return",
   "metadata": {},
   "outputs": [],
   "source": [
    "import h3pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "extra-landscape",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({'lat': [50, 51], 'lng': [14, 15]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "variable-graham",
   "metadata": {},
   "outputs": [],
   "source": [
    "resolution = 10\n",
    "df = df.h3.geo_to_h3(resolution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "global-treaty",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>h3_10</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8a1e30973807fff</th>\n",
       "      <td>50</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8a1e2659c2c7fff</th>\n",
       "      <td>51</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 lat  lng\n",
       "h3_10                    \n",
       "8a1e30973807fff   50   14\n",
       "8a1e2659c2c7fff   51   15"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "married-groove",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "toxic-corruption",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(1729)\n",
    "df = pd.DataFrame({'lat': np.random.uniform(50, 51, 100),'lng': np.random.uniform(14, 15, 100),\n",
    "    'value': np.random.poisson(100, 100)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "martial-station",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>50.212159</td>\n",
       "      <td>14.320736</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>50.259018</td>\n",
       "      <td>14.526740</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50.423522</td>\n",
       "      <td>14.987205</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>50.719661</td>\n",
       "      <td>14.008508</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50.692251</td>\n",
       "      <td>14.324125</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>50.462396</td>\n",
       "      <td>14.995188</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>50.151537</td>\n",
       "      <td>14.442840</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>50.383445</td>\n",
       "      <td>14.436397</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>50.464966</td>\n",
       "      <td>14.427299</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>50.307504</td>\n",
       "      <td>14.006732</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          lat        lng  value\n",
       "0   50.212159  14.320736    115\n",
       "1   50.259018  14.526740     93\n",
       "2   50.423522  14.987205    107\n",
       "3   50.719661  14.008508     94\n",
       "4   50.692251  14.324125    102\n",
       "..        ...        ...    ...\n",
       "95  50.462396  14.995188    116\n",
       "96  50.151537  14.442840    110\n",
       "97  50.383445  14.436397     86\n",
       "98  50.464966  14.427299     82\n",
       "99  50.307504  14.006732     95\n",
       "\n",
       "[100 rows x 3 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "lined-torture",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.h3.geo_to_h3_aggregate(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "separated-radius",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>value</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>h3_03</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
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       "      <th>831e30fffffffff</th>\n",
       "      <td>102</td>\n",
       "      <td>POLYGON ((13.25035 49.73935, 13.29234 49.15285...</td>\n",
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       "    <tr>\n",
       "      <th>831e34fffffffff</th>\n",
       "      <td>189</td>\n",
       "      <td>POLYGON ((12.34575 50.55428, 12.39539 49.97570...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831e35fffffffff</th>\n",
       "      <td>8744</td>\n",
       "      <td>POLYGON ((14.03027 50.66021, 14.06658 50.08009...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831f1bfffffffff</th>\n",
       "      <td>1040</td>\n",
       "      <td>POLYGON ((13.12024 51.47023, 13.16432 50.89810...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 value                                           geometry\n",
       "h3_03                                                                    \n",
       "831e30fffffffff    102  POLYGON ((13.25035 49.73935, 13.29234 49.15285...\n",
       "831e34fffffffff    189  POLYGON ((12.34575 50.55428, 12.39539 49.97570...\n",
       "831e35fffffffff   8744  POLYGON ((14.03027 50.66021, 14.06658 50.08009...\n",
       "831f1bfffffffff   1040  POLYGON ((13.12024 51.47023, 13.16432 50.89810..."
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "integrated-shape",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\artemis\\anaconda3\\envs\\gostnets_3_8\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3165: DtypeWarning: Columns (6) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('crime.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "stuck-pantyhose",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENT_NUMBER</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_GROUP</th>\n",
       "      <th>OFFENSE_DESCRIPTION</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>REPORTING_AREA</th>\n",
       "      <th>SHOOTING</th>\n",
       "      <th>OCCURRED_ON_DATE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>HOUR</th>\n",
       "      <th>UCR_PART</th>\n",
       "      <th>STREET</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I182080058</td>\n",
       "      <td>2403</td>\n",
       "      <td>Disorderly Conduct</td>\n",
       "      <td>DISTURBING THE PEACE</td>\n",
       "      <td>E18</td>\n",
       "      <td>495</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 20:13:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>ARLINGTON ST</td>\n",
       "      <td>42.262608</td>\n",
       "      <td>-71.121186</td>\n",
       "      <td>(42.26260773, -71.12118637)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I182080053</td>\n",
       "      <td>3201</td>\n",
       "      <td>Property Lost</td>\n",
       "      <td>PROPERTY - LOST</td>\n",
       "      <td>D14</td>\n",
       "      <td>795</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-08-30 20:00:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>8</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>ALLSTON ST</td>\n",
       "      <td>42.352111</td>\n",
       "      <td>-71.135311</td>\n",
       "      <td>(42.35211146, -71.13531147)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I182080052</td>\n",
       "      <td>2647</td>\n",
       "      <td>Other</td>\n",
       "      <td>THREATS TO DO BODILY HARM</td>\n",
       "      <td>B2</td>\n",
       "      <td>329</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 19:20:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>DEVON ST</td>\n",
       "      <td>42.308126</td>\n",
       "      <td>-71.076930</td>\n",
       "      <td>(42.30812619, -71.07692974)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I182080051</td>\n",
       "      <td>413</td>\n",
       "      <td>Aggravated Assault</td>\n",
       "      <td>ASSAULT - AGGRAVATED - BATTERY</td>\n",
       "      <td>A1</td>\n",
       "      <td>92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 20:00:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part One</td>\n",
       "      <td>CAMBRIDGE ST</td>\n",
       "      <td>42.359454</td>\n",
       "      <td>-71.059648</td>\n",
       "      <td>(42.35945371, -71.05964817)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I182080050</td>\n",
       "      <td>3122</td>\n",
       "      <td>Aircraft</td>\n",
       "      <td>AIRCRAFT INCIDENTS</td>\n",
       "      <td>A7</td>\n",
       "      <td>36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 20:49:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PRESCOTT ST</td>\n",
       "      <td>42.375258</td>\n",
       "      <td>-71.024663</td>\n",
       "      <td>(42.37525782, -71.02466343)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>327815</th>\n",
       "      <td>I050310906-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>D4</td>\n",
       "      <td>285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-05 17:25:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>6</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>17</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>COVENTRY ST</td>\n",
       "      <td>42.336951</td>\n",
       "      <td>-71.085748</td>\n",
       "      <td>(42.33695098, -71.08574813)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327816</th>\n",
       "      <td>I030217815-08</td>\n",
       "      <td>111</td>\n",
       "      <td>Homicide</td>\n",
       "      <td>MURDER, NON-NEGLIGIENT MANSLAUGHTER</td>\n",
       "      <td>E18</td>\n",
       "      <td>520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-07-09 13:38:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>7</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>13</td>\n",
       "      <td>Part One</td>\n",
       "      <td>RIVER ST</td>\n",
       "      <td>42.255926</td>\n",
       "      <td>-71.123172</td>\n",
       "      <td>(42.25592648, -71.12317207)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327817</th>\n",
       "      <td>I030217815-08</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E18</td>\n",
       "      <td>520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-07-09 13:38:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>7</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>13</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>RIVER ST</td>\n",
       "      <td>42.255926</td>\n",
       "      <td>-71.123172</td>\n",
       "      <td>(42.25592648, -71.12317207)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327818</th>\n",
       "      <td>I010370257-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E13</td>\n",
       "      <td>569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 19:35:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW WASHINGTON ST</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>-71.111565</td>\n",
       "      <td>(42.30233307, -71.11156487)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327819</th>\n",
       "      <td>142052550</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>D4</td>\n",
       "      <td>903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-06-22 00:12:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>6</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>WASHINGTON ST</td>\n",
       "      <td>42.333839</td>\n",
       "      <td>-71.080290</td>\n",
       "      <td>(42.33383935, -71.08029038)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>327820 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE  OFFENSE_CODE_GROUP  \\\n",
       "0           I182080058          2403  Disorderly Conduct   \n",
       "1           I182080053          3201       Property Lost   \n",
       "2           I182080052          2647               Other   \n",
       "3           I182080051           413  Aggravated Assault   \n",
       "4           I182080050          3122            Aircraft   \n",
       "...                ...           ...                 ...   \n",
       "327815   I050310906-00          3125     Warrant Arrests   \n",
       "327816   I030217815-08           111            Homicide   \n",
       "327817   I030217815-08          3125     Warrant Arrests   \n",
       "327818   I010370257-00          3125     Warrant Arrests   \n",
       "327819       142052550          3125     Warrant Arrests   \n",
       "\n",
       "                        OFFENSE_DESCRIPTION DISTRICT REPORTING_AREA SHOOTING  \\\n",
       "0                      DISTURBING THE PEACE      E18            495      NaN   \n",
       "1                           PROPERTY - LOST      D14            795      NaN   \n",
       "2                 THREATS TO DO BODILY HARM       B2            329      NaN   \n",
       "3            ASSAULT - AGGRAVATED - BATTERY       A1             92      NaN   \n",
       "4                        AIRCRAFT INCIDENTS       A7             36      NaN   \n",
       "...                                     ...      ...            ...      ...   \n",
       "327815                       WARRANT ARREST       D4            285      NaN   \n",
       "327816  MURDER, NON-NEGLIGIENT MANSLAUGHTER      E18            520      NaN   \n",
       "327817                       WARRANT ARREST      E18            520      NaN   \n",
       "327818                       WARRANT ARREST      E13            569      NaN   \n",
       "327819                       WARRANT ARREST       D4            903      NaN   \n",
       "\n",
       "           OCCURRED_ON_DATE  YEAR  MONTH DAY_OF_WEEK  HOUR    UCR_PART  \\\n",
       "0       2018-10-03 20:13:00  2018     10   Wednesday    20    Part Two   \n",
       "1       2018-08-30 20:00:00  2018      8    Thursday    20  Part Three   \n",
       "2       2018-10-03 19:20:00  2018     10   Wednesday    19    Part Two   \n",
       "3       2018-10-03 20:00:00  2018     10   Wednesday    20    Part One   \n",
       "4       2018-10-03 20:49:00  2018     10   Wednesday    20  Part Three   \n",
       "...                     ...   ...    ...         ...   ...         ...   \n",
       "327815  2016-06-05 17:25:00  2016      6      Sunday    17  Part Three   \n",
       "327816  2015-07-09 13:38:00  2015      7    Thursday    13    Part One   \n",
       "327817  2015-07-09 13:38:00  2015      7    Thursday    13  Part Three   \n",
       "327818  2016-05-31 19:35:00  2016      5     Tuesday    19  Part Three   \n",
       "327819  2015-06-22 00:12:00  2015      6      Monday     0  Part Three   \n",
       "\n",
       "                   STREET        Lat       Long                     Location  \n",
       "0            ARLINGTON ST  42.262608 -71.121186  (42.26260773, -71.12118637)  \n",
       "1              ALLSTON ST  42.352111 -71.135311  (42.35211146, -71.13531147)  \n",
       "2                DEVON ST  42.308126 -71.076930  (42.30812619, -71.07692974)  \n",
       "3            CAMBRIDGE ST  42.359454 -71.059648  (42.35945371, -71.05964817)  \n",
       "4             PRESCOTT ST  42.375258 -71.024663  (42.37525782, -71.02466343)  \n",
       "...                   ...        ...        ...                          ...  \n",
       "327815        COVENTRY ST  42.336951 -71.085748  (42.33695098, -71.08574813)  \n",
       "327816           RIVER ST  42.255926 -71.123172  (42.25592648, -71.12317207)  \n",
       "327817           RIVER ST  42.255926 -71.123172  (42.25592648, -71.12317207)  \n",
       "327818  NEW WASHINGTON ST  42.302333 -71.111565  (42.30233307, -71.11156487)  \n",
       "327819      WASHINGTON ST  42.333839 -71.080290  (42.33383935, -71.08029038)  \n",
       "\n",
       "[327820 rows x 17 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "healthy-export",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['lng'] = df['Long']\n",
    "df['lat'] = df['Lat']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "female-quebec",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = df.h3.geo_to_h3(resolution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "joined-health",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.h3.geo_to_h3_aggregate?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "another-facial",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[~df['lat'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "flexible-vanilla",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[~df['lng'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "proprietary-ghost",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['value'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "handled-treatment",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENT_NUMBER</th>\n",
       "      <th>OFFENSE_CODE</th>\n",
       "      <th>OFFENSE_CODE_GROUP</th>\n",
       "      <th>OFFENSE_DESCRIPTION</th>\n",
       "      <th>DISTRICT</th>\n",
       "      <th>REPORTING_AREA</th>\n",
       "      <th>SHOOTING</th>\n",
       "      <th>OCCURRED_ON_DATE</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MONTH</th>\n",
       "      <th>DAY_OF_WEEK</th>\n",
       "      <th>HOUR</th>\n",
       "      <th>UCR_PART</th>\n",
       "      <th>STREET</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>Location</th>\n",
       "      <th>lng</th>\n",
       "      <th>lat</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I182080058</td>\n",
       "      <td>2403</td>\n",
       "      <td>Disorderly Conduct</td>\n",
       "      <td>DISTURBING THE PEACE</td>\n",
       "      <td>E18</td>\n",
       "      <td>495</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 20:13:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>ARLINGTON ST</td>\n",
       "      <td>42.262608</td>\n",
       "      <td>-71.121186</td>\n",
       "      <td>(42.26260773, -71.12118637)</td>\n",
       "      <td>-71.121186</td>\n",
       "      <td>42.262608</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>I182080053</td>\n",
       "      <td>3201</td>\n",
       "      <td>Property Lost</td>\n",
       "      <td>PROPERTY - LOST</td>\n",
       "      <td>D14</td>\n",
       "      <td>795</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-08-30 20:00:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>8</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>ALLSTON ST</td>\n",
       "      <td>42.352111</td>\n",
       "      <td>-71.135311</td>\n",
       "      <td>(42.35211146, -71.13531147)</td>\n",
       "      <td>-71.135311</td>\n",
       "      <td>42.352111</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I182080052</td>\n",
       "      <td>2647</td>\n",
       "      <td>Other</td>\n",
       "      <td>THREATS TO DO BODILY HARM</td>\n",
       "      <td>B2</td>\n",
       "      <td>329</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 19:20:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Two</td>\n",
       "      <td>DEVON ST</td>\n",
       "      <td>42.308126</td>\n",
       "      <td>-71.076930</td>\n",
       "      <td>(42.30812619, -71.07692974)</td>\n",
       "      <td>-71.076930</td>\n",
       "      <td>42.308126</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>I182080051</td>\n",
       "      <td>413</td>\n",
       "      <td>Aggravated Assault</td>\n",
       "      <td>ASSAULT - AGGRAVATED - BATTERY</td>\n",
       "      <td>A1</td>\n",
       "      <td>92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 20:00:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part One</td>\n",
       "      <td>CAMBRIDGE ST</td>\n",
       "      <td>42.359454</td>\n",
       "      <td>-71.059648</td>\n",
       "      <td>(42.35945371, -71.05964817)</td>\n",
       "      <td>-71.059648</td>\n",
       "      <td>42.359454</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>I182080050</td>\n",
       "      <td>3122</td>\n",
       "      <td>Aircraft</td>\n",
       "      <td>AIRCRAFT INCIDENTS</td>\n",
       "      <td>A7</td>\n",
       "      <td>36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-10-03 20:49:00</td>\n",
       "      <td>2018</td>\n",
       "      <td>10</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>PRESCOTT ST</td>\n",
       "      <td>42.375258</td>\n",
       "      <td>-71.024663</td>\n",
       "      <td>(42.37525782, -71.02466343)</td>\n",
       "      <td>-71.024663</td>\n",
       "      <td>42.375258</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327815</th>\n",
       "      <td>I050310906-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>D4</td>\n",
       "      <td>285</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-06-05 17:25:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>6</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>17</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>COVENTRY ST</td>\n",
       "      <td>42.336951</td>\n",
       "      <td>-71.085748</td>\n",
       "      <td>(42.33695098, -71.08574813)</td>\n",
       "      <td>-71.085748</td>\n",
       "      <td>42.336951</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327816</th>\n",
       "      <td>I030217815-08</td>\n",
       "      <td>111</td>\n",
       "      <td>Homicide</td>\n",
       "      <td>MURDER, NON-NEGLIGIENT MANSLAUGHTER</td>\n",
       "      <td>E18</td>\n",
       "      <td>520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-07-09 13:38:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>7</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>13</td>\n",
       "      <td>Part One</td>\n",
       "      <td>RIVER ST</td>\n",
       "      <td>42.255926</td>\n",
       "      <td>-71.123172</td>\n",
       "      <td>(42.25592648, -71.12317207)</td>\n",
       "      <td>-71.123172</td>\n",
       "      <td>42.255926</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327817</th>\n",
       "      <td>I030217815-08</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E18</td>\n",
       "      <td>520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-07-09 13:38:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>7</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>13</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>RIVER ST</td>\n",
       "      <td>42.255926</td>\n",
       "      <td>-71.123172</td>\n",
       "      <td>(42.25592648, -71.12317207)</td>\n",
       "      <td>-71.123172</td>\n",
       "      <td>42.255926</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327818</th>\n",
       "      <td>I010370257-00</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>E13</td>\n",
       "      <td>569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-05-31 19:35:00</td>\n",
       "      <td>2016</td>\n",
       "      <td>5</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>19</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>NEW WASHINGTON ST</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>-71.111565</td>\n",
       "      <td>(42.30233307, -71.11156487)</td>\n",
       "      <td>-71.111565</td>\n",
       "      <td>42.302333</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327819</th>\n",
       "      <td>142052550</td>\n",
       "      <td>3125</td>\n",
       "      <td>Warrant Arrests</td>\n",
       "      <td>WARRANT ARREST</td>\n",
       "      <td>D4</td>\n",
       "      <td>903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2015-06-22 00:12:00</td>\n",
       "      <td>2015</td>\n",
       "      <td>6</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>Part Three</td>\n",
       "      <td>WASHINGTON ST</td>\n",
       "      <td>42.333839</td>\n",
       "      <td>-71.080290</td>\n",
       "      <td>(42.33383935, -71.08029038)</td>\n",
       "      <td>-71.080290</td>\n",
       "      <td>42.333839</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>307188 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       INCIDENT_NUMBER  OFFENSE_CODE  OFFENSE_CODE_GROUP  \\\n",
       "0           I182080058          2403  Disorderly Conduct   \n",
       "1           I182080053          3201       Property Lost   \n",
       "2           I182080052          2647               Other   \n",
       "3           I182080051           413  Aggravated Assault   \n",
       "4           I182080050          3122            Aircraft   \n",
       "...                ...           ...                 ...   \n",
       "327815   I050310906-00          3125     Warrant Arrests   \n",
       "327816   I030217815-08           111            Homicide   \n",
       "327817   I030217815-08          3125     Warrant Arrests   \n",
       "327818   I010370257-00          3125     Warrant Arrests   \n",
       "327819       142052550          3125     Warrant Arrests   \n",
       "\n",
       "                        OFFENSE_DESCRIPTION DISTRICT REPORTING_AREA SHOOTING  \\\n",
       "0                      DISTURBING THE PEACE      E18            495      NaN   \n",
       "1                           PROPERTY - LOST      D14            795      NaN   \n",
       "2                 THREATS TO DO BODILY HARM       B2            329      NaN   \n",
       "3            ASSAULT - AGGRAVATED - BATTERY       A1             92      NaN   \n",
       "4                        AIRCRAFT INCIDENTS       A7             36      NaN   \n",
       "...                                     ...      ...            ...      ...   \n",
       "327815                       WARRANT ARREST       D4            285      NaN   \n",
       "327816  MURDER, NON-NEGLIGIENT MANSLAUGHTER      E18            520      NaN   \n",
       "327817                       WARRANT ARREST      E18            520      NaN   \n",
       "327818                       WARRANT ARREST      E13            569      NaN   \n",
       "327819                       WARRANT ARREST       D4            903      NaN   \n",
       "\n",
       "           OCCURRED_ON_DATE  YEAR  MONTH DAY_OF_WEEK  HOUR    UCR_PART  \\\n",
       "0       2018-10-03 20:13:00  2018     10   Wednesday    20    Part Two   \n",
       "1       2018-08-30 20:00:00  2018      8    Thursday    20  Part Three   \n",
       "2       2018-10-03 19:20:00  2018     10   Wednesday    19    Part Two   \n",
       "3       2018-10-03 20:00:00  2018     10   Wednesday    20    Part One   \n",
       "4       2018-10-03 20:49:00  2018     10   Wednesday    20  Part Three   \n",
       "...                     ...   ...    ...         ...   ...         ...   \n",
       "327815  2016-06-05 17:25:00  2016      6      Sunday    17  Part Three   \n",
       "327816  2015-07-09 13:38:00  2015      7    Thursday    13    Part One   \n",
       "327817  2015-07-09 13:38:00  2015      7    Thursday    13  Part Three   \n",
       "327818  2016-05-31 19:35:00  2016      5     Tuesday    19  Part Three   \n",
       "327819  2015-06-22 00:12:00  2015      6      Monday     0  Part Three   \n",
       "\n",
       "                   STREET        Lat       Long                     Location  \\\n",
       "0            ARLINGTON ST  42.262608 -71.121186  (42.26260773, -71.12118637)   \n",
       "1              ALLSTON ST  42.352111 -71.135311  (42.35211146, -71.13531147)   \n",
       "2                DEVON ST  42.308126 -71.076930  (42.30812619, -71.07692974)   \n",
       "3            CAMBRIDGE ST  42.359454 -71.059648  (42.35945371, -71.05964817)   \n",
       "4             PRESCOTT ST  42.375258 -71.024663  (42.37525782, -71.02466343)   \n",
       "...                   ...        ...        ...                          ...   \n",
       "327815        COVENTRY ST  42.336951 -71.085748  (42.33695098, -71.08574813)   \n",
       "327816           RIVER ST  42.255926 -71.123172  (42.25592648, -71.12317207)   \n",
       "327817           RIVER ST  42.255926 -71.123172  (42.25592648, -71.12317207)   \n",
       "327818  NEW WASHINGTON ST  42.302333 -71.111565  (42.30233307, -71.11156487)   \n",
       "327819      WASHINGTON ST  42.333839 -71.080290  (42.33383935, -71.08029038)   \n",
       "\n",
       "              lng        lat  value  \n",
       "0      -71.121186  42.262608      1  \n",
       "1      -71.135311  42.352111      1  \n",
       "2      -71.076930  42.308126      1  \n",
       "3      -71.059648  42.359454      1  \n",
       "4      -71.024663  42.375258      1  \n",
       "...           ...        ...    ...  \n",
       "327815 -71.085748  42.336951      1  \n",
       "327816 -71.123172  42.255926      1  \n",
       "327817 -71.123172  42.255926      1  \n",
       "327818 -71.111565  42.302333      1  \n",
       "327819 -71.080290  42.333839      1  \n",
       "\n",
       "[307188 rows x 20 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "adverse-devil",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_subset = df[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "amended-alert",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "authentic-florist",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_agg_9 = df.h3.geo_to_h3_aggregate(9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "economic-hardwood",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>892a339a5b7ffff</th>\n",
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       "      <td>125027</td>\n",
       "      <td>436</td>\n",
       "      <td>823</td>\n",
       "      <td>2618.575611</td>\n",
       "      <td>-4410.037563</td>\n",
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       "      <td>POLYGON ((-71.12906 42.23645, -71.13128 42.235...</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>1075 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 OFFENSE_CODE     YEAR  MONTH  HOUR          Lat         Long  \\\n",
       "h3_09                                                                           \n",
       "892a3029137ffff          9245     6048     20    36   126.968028  -212.893095   \n",
       "892a302922fffff         15267    10085     45    55   211.693830  -355.093680   \n",
       "892a302924fffff          6234     6051     20    26   127.046282  -213.096309   \n",
       "892a302926bffff        149270   120997    415   704  2540.687109 -4261.841288   \n",
       "892a302927bffff          3802     2018      7    14    42.346561   -71.030165   \n",
       "...                       ...      ...    ...   ...          ...          ...   \n",
       "892a339a5b7ffff        136537   125027    436   823  2618.575611 -4410.037563   \n",
       "892a339a5bbffff         53585    42336    143   304   886.998917 -1493.844366   \n",
       "892a339a5c7ffff         78774    62515    211   363  1309.535805 -2205.448290   \n",
       "892a339a5d3ffff         17983    18152     41   116   380.245935  -640.298826   \n",
       "8974ed89c83ffff       1848802  1563100   5409  9420  -775.000000  -775.000000   \n",
       "\n",
       "                 value                                           geometry  \n",
       "h3_09                                                                      \n",
       "892a3029137ffff      3  POLYGON ((-70.96605 42.32518, -70.96828 42.324...  \n",
       "892a302922fffff      5  POLYGON ((-71.01860 42.34131, -71.02083 42.340...  \n",
       "892a302924fffff      3  POLYGON ((-71.03158 42.35206, -71.03381 42.351...  \n",
       "892a302926bffff     60  POLYGON ((-71.03171 42.34668, -71.03394 42.345...  \n",
       "892a302927bffff      1  POLYGON ((-71.02944 42.34937, -71.03167 42.348...  \n",
       "...                ...                                                ...  \n",
       "892a339a5b7ffff     62  POLYGON ((-71.12906 42.23645, -71.13128 42.235...  \n",
       "892a339a5bbffff     21  POLYGON ((-71.13560 42.23913, -71.13783 42.238...  \n",
       "892a339a5c7ffff     31  POLYGON ((-71.14430 42.24448, -71.14652 42.243...  \n",
       "892a339a5d3ffff      9  POLYGON ((-71.14418 42.24986, -71.14640 42.248...  \n",
       "8974ed89c83ffff    775  POLYGON ((-0.99986 -1.00078, -0.99959 -0.99914...  \n",
       "\n",
       "[1075 rows x 8 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_agg_9"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "convenient-evolution",
   "metadata": {},
   "source": [
    "## export to json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "underlying-edition",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_agg_9_essential = df_agg_9[['value']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "ceramic-office",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-77-86407fd14dda>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_agg_9_essential['hex'] = df_agg_9_essential.index\n"
     ]
    }
   ],
   "source": [
    "df_agg_9_essential['hex'] = df_agg_9_essential.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "passive-italic",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>892a339a5b7ffff</th>\n",
       "      <td>62</td>\n",
       "      <td>892a339a5b7ffff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892a339a5bbffff</th>\n",
       "      <td>21</td>\n",
       "      <td>892a339a5bbffff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892a339a5c7ffff</th>\n",
       "      <td>31</td>\n",
       "      <td>892a339a5c7ffff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892a339a5d3ffff</th>\n",
       "      <td>9</td>\n",
       "      <td>892a339a5d3ffff</td>\n",
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       "    <tr>\n",
       "      <th>8974ed89c83ffff</th>\n",
       "      <td>775</td>\n",
       "      <td>8974ed89c83ffff</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1075 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 value              hex\n",
       "h3_09                                  \n",
       "892a3029137ffff      3  892a3029137ffff\n",
       "892a302922fffff      5  892a302922fffff\n",
       "892a302924fffff      3  892a302924fffff\n",
       "892a302926bffff     60  892a302926bffff\n",
       "892a302927bffff      1  892a302927bffff\n",
       "...                ...              ...\n",
       "892a339a5b7ffff     62  892a339a5b7ffff\n",
       "892a339a5bbffff     21  892a339a5bbffff\n",
       "892a339a5c7ffff     31  892a339a5c7ffff\n",
       "892a339a5d3ffff      9  892a339a5d3ffff\n",
       "8974ed89c83ffff    775  8974ed89c83ffff\n",
       "\n",
       "[1075 rows x 2 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_agg_9_essential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "caring-malta",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "blind-cannon",
   "metadata": {},
   "outputs": [],
   "source": [
    "result = df_agg_9_essential.to_json(orient=\"records\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "alpha-encyclopedia",
   "metadata": {},
   "outputs": [],
   "source": [
    "parsed = json.loads(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "sustainable-terry",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[\\n    {\\n        \"value\": 3,\\n        \"hex\": \"892a3029137ffff\"\\n    },\\n    {\\n        \"value\": 5,\\n        \"hex\": \"892a302922fffff\"\\n    },\\n    {\\n        \"value\": 3,\\n        \"hex\": \"892a302924fffff\"\\n    },\\n    {\\n        \"value\": 60,\\n        \"hex\": \"892a302926bffff\"\\n    },\\n    {\\n        \"value\": 1,\\n        \"hex\": \"892a302927bffff\"\\n    },\\n    {\\n        \"value\": 1,\\n        \"hex\": \"892a30292c3ffff\"\\n    },\\n    {\\n        \"value\": 2,\\n        \"hex\": \"892a30292cbffff\"\\n    },\\n    {\\n        \"value\": 1,\\n        \"hex\": \"892a3029cdbffff\"\\n    },\\n    {\\n        \"value\": 22,\\n        \"hex\": \"892a3064027ffff\"\\n    },\\n    {\\n        \"value\": 9,\\n        \"hex\": \"892a30640a7ffff\"\\n    },\\n    {\\n        \"value\": 208,\\n        \"hex\": \"892a30640b3ffff\"\\n    },\\n    {\\n        \"value\": 112,\\n        \"hex\": \"892a30640b7ffff\"\\n    },\\n    {\\n        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      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json.dumps(parsed, indent=4)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "strong-plate",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "imposed-split",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_agg_9_essential.to_json('boston_crimes_h3.json', orient=\"records\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "tribal-choice",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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