{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6a8168a4",
   "metadata": {},
   "source": [
    "<!---\n",
    "  Licensed to the Apache Software Foundation (ASF) under one\n",
    "  or more contributor license agreements.  See the NOTICE file\n",
    "  distributed with this work for additional information\n",
    "  regarding copyright ownership.  The ASF licenses this file\n",
    "  to you under the Apache License, Version 2.0 (the\n",
    "  \"License\"); you may not use this file except in compliance\n",
    "  with the License.  You may obtain a copy of the License at\n",
    "\n",
    "    http://www.apache.org/licenses/LICENSE-2.0\n",
    "\n",
    "  Unless required by applicable law or agreed to in writing,\n",
    "  software distributed under the License is distributed on an\n",
    "  \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
    "  KIND, either express or implied.  See the License for the\n",
    "  specific language governing permissions and limitations\n",
    "  under the License.\n",
    "-->\n",
    "\n",
    "# Python Quickstart\n",
    "\n",
    "First, install SedonaDB:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e0f0dd2",
   "metadata": {},
   "source": [
    "\n",
    "```shell\n",
    "pip install \"apache-sedona[db]\"\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "293d4bc4",
   "metadata": {},
   "source": [
    "If the import and connection are successful, your installation is complete."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a06df76b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌────────────┐\n",
      "│    geom    │\n",
      "│  geometry  │\n",
      "╞════════════╡\n",
      "│ POINT(0 1) │\n",
      "└────────────┘\n"
     ]
    }
   ],
   "source": [
    "import sedona.db\n",
    "\n",
    "sd = sedona.db.connect()\n",
    "sd.sql(\"SELECT ST_Point(0, 1) as geom\").show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0d775bd-4cd8-454e-8cb6-9983c5a7ded3",
   "metadata": {},
   "source": [
    "## Point in polygon join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a6e1df61-c77f-4829-ab79-3d1b692408e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "cities = sd.read_parquet(\n",
    "    \"https://raw.githubusercontent.com/geoarrow/geoarrow-data/v0.2.0/natural-earth/files/natural-earth_cities_geo.parquet\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ff571cec-5a35-46c1-b0d6-a40fad33a87b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌──────────────┬───────────────────────────────┐\n",
      "│     name     ┆            geometry           │\n",
      "│     utf8     ┆            geometry           │\n",
      "╞══════════════╪═══════════════════════════════╡\n",
      "│ Vatican City ┆ POINT(12.4533865 41.9032822)  │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ San Marino   ┆ POINT(12.4417702 43.9360958)  │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Vaduz        ┆ POINT(9.5166695 47.1337238)   │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Lobamba      ┆ POINT(31.1999971 -26.4666675) │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Luxembourg   ┆ POINT(6.1300028 49.6116604)   │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Palikir      ┆ POINT(158.1499743 6.9166437)  │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Majuro       ┆ POINT(171.3800002 7.1030043)  │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Funafuti     ┆ POINT(179.2166471 -8.516652)  │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Melekeok     ┆ POINT(134.6265485 7.4873962)  │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Bir Lehlou   ┆ POINT(-9.6525222 26.1191667)  │\n",
      "└──────────────┴───────────────────────────────┘\n"
     ]
    }
   ],
   "source": [
    "cities.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d4741ac1-44aa-4ae0-b2b6-b68e985b5c44",
   "metadata": {},
   "outputs": [],
   "source": [
    "countries = sd.read_parquet(\n",
    "    \"https://raw.githubusercontent.com/geoarrow/geoarrow-data/v0.2.0/natural-earth/files/natural-earth_countries_geo.parquet\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "aa7597b5-fb0b-42f2-be96-10a82b5dd76b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌─────────────────────────────┬───────────────┬────────────────────────────────────────────────────┐\n",
      "│             name            ┆   continent   ┆                      geometry                      │\n",
      "│             utf8            ┆      utf8     ┆                      geometry                      │\n",
      "╞═════════════════════════════╪═══════════════╪════════════════════════════════════════════════════╡\n",
      "│ Fiji                        ┆ Oceania       ┆ MULTIPOLYGON(((180 -16.067132663642447,180 -16.55… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ United Republic of Tanzania ┆ Africa        ┆ POLYGON((33.90371119710453 -0.9500000000000001,34… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Western Sahara              ┆ Africa        ┆ POLYGON((-8.665589565454809 27.656425889592356,-8… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Canada                      ┆ North America ┆ MULTIPOLYGON(((-122.84000000000003 49.00000000000… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ United States of America    ┆ North America ┆ MULTIPOLYGON(((-122.84000000000003 49.00000000000… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Kazakhstan                  ┆ Asia          ┆ POLYGON((87.35997033076265 49.21498078062912,86.5… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Uzbekistan                  ┆ Asia          ┆ POLYGON((55.96819135928291 41.30864166926936,55.9… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Papua New Guinea            ┆ Oceania       ┆ MULTIPOLYGON(((141.00021040259185 -2.600151055515… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Indonesia                   ┆ Asia          ┆ MULTIPOLYGON(((141.00021040259185 -2.600151055515… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Argentina                   ┆ South America ┆ MULTIPOLYGON(((-68.63401022758323 -52.63637045887… │\n",
      "└─────────────────────────────┴───────────────┴────────────────────────────────────────────────────┘\n"
     ]
    }
   ],
   "source": [
    "countries.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c18af1fa-3847-4a43-ba1b-2ce99e8505d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "cities.to_view(\"cities\")\n",
    "countries.to_view(\"countries\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "2cf5941c-ff25-4288-bf0c-983f1cd8125b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌───────────────┬──────────────────────┬─────────────────────┬───────────────┬─────────────────────┐\n",
      "│      name     ┆       geometry       ┆         name        ┆   continent   ┆       geometry      │\n",
      "│      utf8     ┆       geometry       ┆         utf8        ┆      utf8     ┆       geometry      │\n",
      "╞═══════════════╪══════════════════════╪═════════════════════╪═══════════════╪═════════════════════╡\n",
      "│ Suva          ┆ POINT(178.4417073 -… ┆ Fiji                ┆ Oceania       ┆ MULTIPOLYGON(((180… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Dodoma        ┆ POINT(35.7500036 -6… ┆ United Republic of… ┆ Africa        ┆ POLYGON((33.903711… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Dar es Salaam ┆ POINT(39.266396 -6.… ┆ United Republic of… ┆ Africa        ┆ POLYGON((33.903711… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Bir Lehlou    ┆ POINT(-9.6525222 26… ┆ Western Sahara      ┆ Africa        ┆ POLYGON((-8.665589… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Ottawa        ┆ POINT(-75.7019612 4… ┆ Canada              ┆ North America ┆ MULTIPOLYGON(((-12… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Vancouver     ┆ POINT(-123.1235901 … ┆ Canada              ┆ North America ┆ MULTIPOLYGON(((-12… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Toronto       ┆ POINT(-79.389458554… ┆ Canada              ┆ North America ┆ MULTIPOLYGON(((-12… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ San Francisco ┆ POINT(-122.39959956… ┆ United States of A… ┆ North America ┆ MULTIPOLYGON(((-12… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Denver        ┆ POINT(-104.9859618 … ┆ United States of A… ┆ North America ┆ MULTIPOLYGON(((-12… │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ Houston       ┆ POINT(-95.348436256… ┆ United States of A… ┆ North America ┆ MULTIPOLYGON(((-12… │\n",
      "└───────────────┴──────────────────────┴─────────────────────┴───────────────┴─────────────────────┘\n"
     ]
    }
   ],
   "source": [
    "# join the cities and countries tables\n",
    "sd.sql(\"\"\"\n",
    "select * from cities\n",
    "join countries\n",
    "where ST_Intersects(cities.geometry, countries.geometry)\n",
    "\"\"\").show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d4fcb29-35dd-4ff6-933d-e480f1698662",
   "metadata": {},
   "source": [
    "## Manually create SedonaDB DataFrames"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fd8cae5-0b77-4a09-8b85-33bcc6abb813",
   "metadata": {},
   "source": [
    "Let's create a DataFrame with one string column and one geometry column to show some of the functionality of the SedonaDB Python interface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6dd816c7-fd3f-4358-b628-ef5e6940c95c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = sd.sql(\"\"\"\n",
    "    SELECT * FROM (VALUES\n",
    "        ('one', ST_GeomFromWkt('POINT(1 2)')),\n",
    "        ('two', ST_GeomFromWkt('POLYGON((\n",
    "            -74.0 40.7, -74.0 40.8, -73.9 40.8,\n",
    "            -73.9 40.7, -74.0 40.7\n",
    "        ))')),\n",
    "        ('three', ST_GeomFromWkt('LINESTRING(\n",
    "            -74.0060 40.7128, -73.9352 40.7306,\n",
    "            -73.8561 40.8484\n",
    "        )'))\n",
    "    ) AS t(val, point)\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "fb566114-0f2c-45c7-bc94-2396542c2458",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌───────┬──────────────────────────────────────────────────────────────────────────────────────────┐\n",
      "│  val  ┆                                           point                                          │\n",
      "│  utf8 ┆                                          binary                                          │\n",
      "╞═══════╪══════════════════════════════════════════════════════════════════════════════════════════╡\n",
      "│ one   ┆ 0101000000000000000000f03f0000000000000040                                               │\n",
      "├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ two   ┆ 0103000000010000000500000000000000008052c09a9999999959444000000000008052c06666666666664… │\n",
      "├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ three ┆ 010200000003000000aaf1d24d628052c05e4bc8073d5b444007ce1951da7b52c0933a014d845d4440c286a… │\n",
      "└───────┴──────────────────────────────────────────────────────────────────────────────────────────┘\n"
     ]
    }
   ],
   "source": [
    "df.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b051dbf5-2fdc-4cf7-9cfc-73d3ca5a5d94",
   "metadata": {},
   "source": [
    "Verify that this object is a SedonaDB DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "44574ca0-1a39-4018-9729-ae56c232013c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sedonadb.dataframe.DataFrame"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6e7e7b0-bac3-4ce4-8839-a7fa3dd0b4c6",
   "metadata": {},
   "source": [
    "Expose the DataFrame as a view and run a SQL operation on the geometry data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "aac2295a-68fe-44c4-911a-e049f789ad35",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_view(\"fun_table\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "de296b34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌─────────────┬───────────┬─────────────┐\n",
      "│ column_name ┆ data_type ┆ is_nullable │\n",
      "│     utf8    ┆    utf8   ┆     utf8    │\n",
      "╞═════════════╪═══════════╪═════════════╡\n",
      "│ val         ┆ Utf8      ┆ YES         │\n",
      "├╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ point       ┆ Binary    ┆ YES         │\n",
      "└─────────────┴───────────┴─────────────┘\n"
     ]
    }
   ],
   "source": [
    "sd.sql(\"DESCRIBE fun_table\").show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "09eefd76-b325-4d58-8284-92c2340514b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌───────┬─────────────────────────────────────────────┬────────────────────────────────────────────┐\n",
      "│  val  ┆                    point                    ┆                  centroid                  │\n",
      "│  utf8 ┆                    binary                   ┆                  geometry                  │\n",
      "╞═══════╪═════════════════════════════════════════════╪════════════════════════════════════════════╡\n",
      "│ one   ┆ 0101000000000000000000f03f0000000000000040  ┆ POINT(1 2)                                 │\n",
      "├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ two   ┆ 0103000000010000000500000000000000008052c0… ┆ POINT(-73.95 40.75)                        │\n",
      "├╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤\n",
      "│ three ┆ 010200000003000000aaf1d24d628052c05e4bc807… ┆ POINT(-73.92111155675562 40.7664673976246… │\n",
      "└───────┴─────────────────────────────────────────────┴────────────────────────────────────────────┘\n"
     ]
    }
   ],
   "source": [
    "sd.sql(\"\"\"\n",
    "    SELECT *, ST_Centroid(ST_GeomFromWKB(point)) as centroid\n",
    "    FROM fun_table\n",
    "\"\"\").show()"
   ]
  }
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