Blog posts

dbplyr: Do we still need to learn SQL to create and manage databases?
April 11, 2022
Topics: Databases, R, SQL, dbplyr, Parallel GNU

Enumeration of Informal Work
March 1, 2022
Topics: Geospatial Data, Informal Work, Maps & Spatial Analysis, Visualization

Urban governance and health conditions of street vendors in Mexico City
November 22, 2021
Topics: Health, Food, Spatial Location, Street Vendors, Latin American Studies

Not Your Typical Food Conference: A Reflection on the Biomigrations Conference
May 5, 2021
Topics: Food, Sovereignity, Justice, Latin American Studies

{ “cells”: [ { “cell_type”: “code”, “execution_count”: 1, “id”: “d53dc596”, “metadata”: {}, “outputs”: [], “source”: [ “#libraries\n”, “import pandas as pd\n”, “import json # library for working with JSON-formatted text strings\n”, “import requests # library for accessing content from web URLs\n”, “#import pprint # library for cleanly printing Python data structures\n”, “from matplotlib import pyplot as plt\n”, “import matplotlib.ticker as ticker\n”, “import seaborn as sns\n”, “import numpy as np\n”, “import geopandas as gpd\n”, “import utm\n”, “import contextily as cx\n”, “import folium\n”, “import plotly\n”, “#import mpld3\n”, “from PIL import Image, ImageFont, ImageDraw\n”, “from pyproj import Proj\n”, “from shapely.geometry import Point\n”, “from geopandas import GeoDataFrame\n”, “from folium import plugins\n”, “from matplotlib.pyplot import figure\n”, “ \n”, “\n”, “# %matplotlib inline\n”, “# from matplotlib import rcParams\n”, “# pd.options.mode.chained_assignment = None\n”, “\n”, “# pp = pprint.PrettyPrinter()\n” ] }, { “cell_type”: “code”, “execution_count”: 2, “id”: “45671639”, “metadata”: {}, “outputs”: [ { “name”: “stderr”, “output_type”: “stream”, “text”: [ “/Users/flavia/opt/anaconda3/envs/geo_3/lib/python3.9/site-packages/pyproj/crs/crs.py:130: FutureWarning: ‘+init=:' syntax is deprecated. ':' is the preferred initialization method. When making the change, be mindful of axis order changes: https://pyproj4.github.io/pyproj/stable/gotchas.html#axis-order-changes-in-proj-6\n", " in_crs_string = _prepare_from_proj_string(in_crs_string)\n" ] }, { "data": { "text/html": [ "<div>\n", "\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Capital</th>\n", " <th>CAPITAL</th>\n", " <th>Estado</th>\n", " <th>Sigla</th>\n", " <th>Região</th>\n", " <th>AREA_KM2</th>\n", " <th>POP_2021</th>\n", " <th>PIB_2019</th>\n", " <th>PDE</th>\n", " <th>OODC_PDE</th>\n", " <th>OODC_REG</th>\n", " <th>OODC_IMPLEMENT</th>\n", " <th>OODC_IMPLEMENT_V2</th>\n", " <th>ANO_REG</th>\n", " <th>LAT</th>\n", " <th>LONG</th>\n", " <th>geometry</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>Aracaju</td>\n", " <td>ARACAJU</td>\n", " <td>Sergipe</td>\n", " <td>SE</td>\n", " <td>Nordeste</td>\n", " <td>182,163</td>\n", " <td>672,614</td>\n", " <td>26,688</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-10.57</td>\n", " <td>-37.45</td>\n", " <td>POINT (-37.45000 -10.57000)</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>Boa Vista</td>\n", " <td>BOA VISTA</td>\n", " <td>Roraima</td>\n", " <td>RR</td>\n", " <td>Norte</td>\n", " <td>5,687,037</td>\n", " <td>436,591</td>\n", " <td>26,482</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>1.99</td>\n", " <td>-61.33</td>\n", " <td>POINT (-61.33000 1.99000)</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>Campo Grande</td>\n", " <td>CAMPO GRANDE</td>\n", " <td>Mato Grosso do Sul</td>\n", " <td>MS</td>\n", " <td>Centro-Oeste</td>\n", " <td>8,082,978</td>\n", " <td>916,001</td>\n", " <td>33,745</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-20.51</td>\n", " <td>-54.54</td>\n", " <td>POINT (-54.54000 -20.51000)</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>Macapá</td>\n", " <td>MACAPA</td>\n", " <td>Amapá</td>\n", " <td>AP</td>\n", " <td>Norte</td>\n", " <td>6,563,849</td>\n", " <td>522,357</td>\n", " <td>22,718</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>1.41</td>\n", " <td>-51.77</td>\n", " <td>POINT (-51.77000 1.41000)</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>Recife</td>\n", " <td>RECIFE</td>\n", " <td>Pernambuco</td>\n", " <td>PE</td>\n", " <td>Nordeste</td>\n", " <td>218,843</td>\n", " <td>1,661,017</td>\n", " <td>33,232</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-8.38</td>\n", " <td>-37.86</td>\n", " <td>POINT (-37.86000 -8.38000)</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Capital CAPITAL Estado Sigla Região \\\n", "0 Aracaju ARACAJU Sergipe SE Nordeste \n", "1 Boa Vista BOA VISTA Roraima RR Norte \n", "2 Campo Grande CAMPO GRANDE Mato Grosso do Sul MS Centro-Oeste \n", "3 Macapá MACAPA Amapá AP Norte \n", "4 Recife RECIFE Pernambuco PE Nordeste \n", "\n", " AREA_KM2 POP_2021 PIB_2019 PDE OODC_PDE OODC_REG OODC_IMPLEMENT \\\n", "0 182,163 672,614 26,688 Yes Yes No No \n", "1 5,687,037 436,591 26,482 Yes No No No \n", "2 8,082,978 916,001 33,745 Yes Yes No No \n", "3 6,563,849 522,357 22,718 Yes Yes No No \n", "4 218,843 1,661,017 33,232 Yes Yes No No \n", "\n", " OODC_IMPLEMENT_V2 ANO_REG LAT LONG geometry \n", "0 1 NaN -10.57 -37.45 POINT (-37.45000 -10.57000) \n", "1 1 NaN 1.99 -61.33 POINT (-61.33000 1.99000) \n", "2 1 NaN -20.51 -54.54 POINT (-54.54000 -20.51000) \n", "3 1 NaN 1.41 -51.77 POINT (-51.77000 1.41000) \n", "4 1 NaN -8.38 -37.86 POINT (-37.86000 -8.38000) " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#MAPPING THE OODC IN THE COUNTRY\n", "\n", "#UPLOADING THE DATASET\n", "oodc_capitais = pd.read_csv('data/OODC_Capitais.csv') \n", "oodc_capitais.head()\n", " \n", " \n", "#CREATING GEOMETRIES\n", "#Creating point from the empreendimentos dataset\n", "crs = {'init': 'epsg:4326'}\n", "\n", "geometry = [Point(xy)for xy in zip (oodc_capitais[\"LONG\"], oodc_capitais[\"LAT\"])]\n", "geometry[:3]\n", "\n", "oodc_capitais = gpd.GeoDataFrame(oodc_capitais, crs=crs, geometry=geometry)\n", "oodc_capitais.head()" ] }, { "cell_type": "code", "execution_count": 3, "id": "d5481eed", "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Capital</th>\n", " <th>CAPITAL</th>\n", " <th>Estado</th>\n", " <th>Sigla</th>\n", " <th>Região</th>\n", " <th>AREA_KM2</th>\n", " <th>POP_2021</th>\n", " <th>PIB_2019</th>\n", " <th>PDE</th>\n", " <th>OODC_PDE</th>\n", " <th>OODC_REG</th>\n", " <th>OODC_IMPLEMENT</th>\n", " <th>OODC_IMPLEMENT_V2</th>\n", " <th>ANO_REG</th>\n", " <th>LAT</th>\n", " <th>LONG</th>\n", " <th>geometry</th>\n", " <th>marker_color</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>Aracaju</td>\n", " <td>ARACAJU</td>\n", " <td>Sergipe</td>\n", " <td>SE</td>\n", " <td>Nordeste</td>\n", " <td>182,163</td>\n", " <td>672,614</td>\n", " <td>26,688</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-10.57</td>\n", " <td>-37.45</td>\n", " <td>POINT (-37.45000 -10.57000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>Boa Vista</td>\n", " <td>BOA VISTA</td>\n", " <td>Roraima</td>\n", " <td>RR</td>\n", " <td>Norte</td>\n", " <td>5,687,037</td>\n", " <td>436,591</td>\n", " <td>26,482</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>1.99</td>\n", " <td>-61.33</td>\n", " <td>POINT (-61.33000 1.99000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>Campo Grande</td>\n", " <td>CAMPO GRANDE</td>\n", " <td>Mato Grosso do Sul</td>\n", " <td>MS</td>\n", " <td>Centro-Oeste</td>\n", " <td>8,082,978</td>\n", " <td>916,001</td>\n", " <td>33,745</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-20.51</td>\n", " <td>-54.54</td>\n", " <td>POINT (-54.54000 -20.51000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>Macapá</td>\n", " <td>MACAPA</td>\n", " <td>Amapá</td>\n", " <td>AP</td>\n", " <td>Norte</td>\n", " <td>6,563,849</td>\n", " <td>522,357</td>\n", " <td>22,718</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>1.41</td>\n", " <td>-51.77</td>\n", " <td>POINT (-51.77000 1.41000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>Recife</td>\n", " <td>RECIFE</td>\n", " <td>Pernambuco</td>\n", " <td>PE</td>\n", " <td>Nordeste</td>\n", " <td>218,843</td>\n", " <td>1,661,017</td>\n", " <td>33,232</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-8.38</td>\n", " <td>-37.86</td>\n", " <td>POINT (-37.86000 -8.38000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>5</th>\n", " <td>Rio Branco</td>\n", " <td>RIO BRANCO</td>\n", " <td>Acre</td>\n", " <td>AC</td>\n", " <td>Norte</td>\n", " <td>8,834,942</td>\n", " <td>419,452</td>\n", " <td>22,448</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-8.77</td>\n", " <td>-70.55</td>\n", " <td>POINT (-70.55000 -8.77000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>6</th>\n", " <td>São Luís</td>\n", " <td>SAO LUIS</td>\n", " <td>Maranhão</td>\n", " <td>MA</td>\n", " <td>Nordeste</td>\n", " <td>582,974</td>\n", " <td>1,115,932</td>\n", " <td>29,135</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-5.42</td>\n", " <td>-45.44</td>\n", " <td>POINT (-45.44000 -5.42000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>7</th>\n", " <td>Belo Horizonte</td>\n", " <td>BELO HORIZONTE</td>\n", " <td>Minas Gerais</td>\n", " <td>MG</td>\n", " <td>Sudeste</td>\n", " <td>331,354</td>\n", " <td>2,530,701</td>\n", " <td>38,695</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-18.10</td>\n", " <td>-44.38</td>\n", " <td>POINT (-44.38000 -18.10000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>8</th>\n", " <td>Cuiabá</td>\n", " <td>CUIABA</td>\n", " <td>Mato Grosso</td>\n", " <td>MT</td>\n", " <td>Centro-Oeste</td>\n", " <td>3,266,538</td>\n", " <td>623,614</td>\n", " <td>40,199</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-12.64</td>\n", " <td>-55.42</td>\n", " <td>POINT (-55.42000 -12.64000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>9</th>\n", " <td>Maceió</td>\n", " <td>MACEIO</td>\n", " <td>Alagoas</td>\n", " <td>AL</td>\n", " <td>Nordeste</td>\n", " <td>509</td>\n", " <td>1,031,597</td>\n", " <td>22,977</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-9.62</td>\n", " <td>-36.82</td>\n", " <td>POINT (-36.82000 -9.62000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>10</th>\n", " <td>Vitória</td>\n", " <td>VITORIA</td>\n", " <td>Espírito Santo</td>\n", " <td>ES</td>\n", " <td>Sudeste</td>\n", " <td>97,123</td>\n", " <td>369,534</td>\n", " <td>59,694</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>No</td>\n", " <td>1</td>\n", " <td>NaN</td>\n", " <td>-19.19</td>\n", " <td>-40.34</td>\n", " <td>POINT (-40.34000 -19.19000)</td>\n", " <td>red</td>\n", " </tr>\n", " <tr>\n", " <th>11</th>\n", " <td>Belém</td>\n", " <td>BELEM</td>\n", " <td>Pará</td>\n", " <td>PA</td>\n", " <td>Norte</td>\n", " <td>1,059,466</td>\n", " <td>1,506,420</td>\n", " <td>21,709</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2008.0</td>\n", " <td>-3.79</td>\n", " <td>-52.48</td>\n", " <td>POINT (-52.48000 -3.79000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>12</th>\n", " <td>Fortaleza</td>\n", " <td>FORTALEZA</td>\n", " <td>Ceará</td>\n", " <td>CE</td>\n", " <td>Nordeste</td>\n", " <td>312,353</td>\n", " <td>2,703,391</td>\n", " <td>25,254</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2009.0</td>\n", " <td>-5.20</td>\n", " <td>-39.53</td>\n", " <td>POINT (-39.53000 -5.20000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>13</th>\n", " <td>João Pessoa</td>\n", " <td>JOAO PESSOA</td>\n", " <td>Paraíba</td>\n", " <td>PB</td>\n", " <td>Nordeste</td>\n", " <td>210,044</td>\n", " <td>825,796</td>\n", " <td>25,768</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2011.0</td>\n", " <td>-7.28</td>\n", " <td>-36.72</td>\n", " <td>POINT (-36.72000 -7.28000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>14</th>\n", " <td>Natal</td>\n", " <td>NATAL</td>\n", " <td>Rio Grande do Norte</td>\n", " <td>RN</td>\n", " <td>Nordeste</td>\n", " <td>167,401</td>\n", " <td>896,708</td>\n", " <td>28,113</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2022.0</td>\n", " <td>-5.81</td>\n", " <td>-36.59</td>\n", " <td>POINT (-36.59000 -5.81000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>15</th>\n", " <td>Rio de Janeiro</td>\n", " <td>RIO DE JANEIRO</td>\n", " <td>Rio de Janeiro</td>\n", " <td>RJ</td>\n", " <td>Sudeste</td>\n", " <td>1,200,329</td>\n", " <td>6,775,561</td>\n", " <td>52,833</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2011.0</td>\n", " <td>-22.25</td>\n", " <td>-42.66</td>\n", " <td>POINT (-42.66000 -22.25000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>16</th>\n", " <td>Salvador</td>\n", " <td>SALVADOR</td>\n", " <td>Bahia</td>\n", " <td>BA</td>\n", " <td>Nordeste</td>\n", " <td>693,453</td>\n", " <td>2,900,319</td>\n", " <td>22,213</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2015.0</td>\n", " <td>-13.29</td>\n", " <td>-41.71</td>\n", " <td>POINT (-41.71000 -13.29000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>17</th>\n", " <td>Teresina</td>\n", " <td>TERESINA</td>\n", " <td>Piauí</td>\n", " <td>PI</td>\n", " <td>Nordeste</td>\n", " <td>1,391,046</td>\n", " <td>871,126</td>\n", " <td>25,459</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2019.0</td>\n", " <td>-6.60</td>\n", " <td>-42.28</td>\n", " <td>POINT (-42.28000 -6.60000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>18</th>\n", " <td>Brasília</td>\n", " <td>BRASILIA</td>\n", " <td>Distrito Federal</td>\n", " <td>DF</td>\n", " <td>Centro-Oeste</td>\n", " <td>5,760,783</td>\n", " <td>3,094,325</td>\n", " <td>90,743</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>1996.0</td>\n", " <td>-15.83</td>\n", " <td>-47.86</td>\n", " <td>POINT (-47.86000 -15.83000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>19</th>\n", " <td>Curitiba</td>\n", " <td>CURITIBA</td>\n", " <td>Paraná</td>\n", " <td>PR</td>\n", " <td>Sul</td>\n", " <td>434,892</td>\n", " <td>1,963,726</td>\n", " <td>49,707</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2020.0</td>\n", " <td>-24.89</td>\n", " <td>-51.55</td>\n", " <td>POINT (-51.55000 -24.89000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>20</th>\n", " <td>Florianópolis</td>\n", " <td>FLORIANOPOLIS</td>\n", " <td>Santa Catarina</td>\n", " <td>SC</td>\n", " <td>Sul</td>\n", " <td>674,844</td>\n", " <td>516,524</td>\n", " <td>43,843</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2014.0</td>\n", " <td>-27.45</td>\n", " <td>-50.95</td>\n", " <td>POINT (-50.95000 -27.45000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>21</th>\n", " <td>Goiânia</td>\n", " <td>GOIANIA</td>\n", " <td>Goiás</td>\n", " <td>GO</td>\n", " <td>Centro-Oeste</td>\n", " <td>728,841</td>\n", " <td>1,555,626</td>\n", " <td>34,901</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2008.0</td>\n", " <td>-15.98</td>\n", " <td>-49.86</td>\n", " <td>POINT (-49.86000 -15.98000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>22</th>\n", " <td>Manaus</td>\n", " <td>MANAUS</td>\n", " <td>Amazonas</td>\n", " <td>AM</td>\n", " <td>Norte</td>\n", " <td>11,401,092</td>\n", " <td>2,255,903</td>\n", " <td>38,881</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2014.0</td>\n", " <td>-3.47</td>\n", " <td>-65.10</td>\n", " <td>POINT (-65.10000 -3.47000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>23</th>\n", " <td>Palmas</td>\n", " <td>PALMAS</td>\n", " <td>Tocantins</td>\n", " <td>TO</td>\n", " <td>Norte</td>\n", " <td>2,227,444</td>\n", " <td>313,349</td>\n", " <td>34,934</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2012.0</td>\n", " <td>-9.46</td>\n", " <td>-48.26</td>\n", " <td>POINT (-48.26000 -9.46000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>24</th>\n", " <td>Porto Alegre</td>\n", " <td>PORTO ALEGRE</td>\n", " <td>Rio Grande do Sul</td>\n", " <td>RS</td>\n", " <td>Sul</td>\n", " <td>495,390</td>\n", " <td>1,492,530</td>\n", " <td>55,555</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>1994.0</td>\n", " <td>-30.17</td>\n", " <td>-53.50</td>\n", " <td>POINT (-53.50000 -30.17000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>25</th>\n", " <td>Porto Velho</td>\n", " <td>PORTO VELHO</td>\n", " <td>Rondônia</td>\n", " <td>RO</td>\n", " <td>Norte</td>\n", " <td>34,090,952</td>\n", " <td>548,952</td>\n", " <td>33,825</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2010.0</td>\n", " <td>-10.83</td>\n", " <td>-63.34</td>\n", " <td>POINT (-63.34000 -10.83000)</td>\n", " <td>green</td>\n", " </tr>\n", " <tr>\n", " <th>26</th>\n", " <td>São Paulo</td>\n", " <td>SAO PAULO</td>\n", " <td>São Paulo</td>\n", " <td>SP</td>\n", " <td>Sudeste</td>\n", " <td>1,521,110</td>\n", " <td>12,396,372</td>\n", " <td>62,341</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>Yes</td>\n", " <td>0</td>\n", " <td>2003.0</td>\n", " <td>-22.19</td>\n", " <td>-48.79</td>\n", " <td>POINT (-48.79000 -22.19000)</td>\n", " <td>green</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Capital CAPITAL Estado Sigla Região \\\n", "0 Aracaju ARACAJU Sergipe SE Nordeste \n", "1 Boa Vista BOA VISTA Roraima RR Norte \n", "2 Campo Grande CAMPO GRANDE Mato Grosso do Sul MS Centro-Oeste \n", "3 Macapá MACAPA Amapá AP Norte \n", "4 Recife RECIFE Pernambuco PE Nordeste \n", "5 Rio Branco RIO BRANCO Acre AC Norte \n", "6 São Luís SAO LUIS Maranhão MA Nordeste \n", "7 Belo Horizonte BELO HORIZONTE Minas Gerais MG Sudeste \n", "8 Cuiabá CUIABA Mato Grosso MT Centro-Oeste \n", "9 Maceió MACEIO Alagoas AL Nordeste \n", "10 Vitória VITORIA Espírito Santo ES Sudeste \n", "11 Belém BELEM Pará PA Norte \n", "12 Fortaleza FORTALEZA Ceará CE Nordeste \n", "13 João Pessoa JOAO PESSOA Paraíba PB Nordeste \n", "14 Natal NATAL Rio Grande do Norte RN Nordeste \n", "15 Rio de Janeiro RIO DE JANEIRO Rio de Janeiro RJ Sudeste \n", "16 Salvador SALVADOR Bahia BA Nordeste \n", "17 Teresina TERESINA Piauí PI Nordeste \n", "18 Brasília BRASILIA Distrito Federal DF Centro-Oeste \n", "19 Curitiba CURITIBA Paraná PR Sul \n", "20 Florianópolis FLORIANOPOLIS Santa Catarina SC Sul \n", "21 Goiânia GOIANIA Goiás GO Centro-Oeste \n", "22 Manaus MANAUS Amazonas AM Norte \n", "23 Palmas PALMAS Tocantins TO Norte \n", "24 Porto Alegre PORTO ALEGRE Rio Grande do Sul RS Sul \n", "25 Porto Velho PORTO VELHO Rondônia RO Norte \n", "26 São Paulo SAO PAULO São Paulo SP Sudeste \n", "\n", " AREA_KM2 POP_2021 PIB_2019 PDE OODC_PDE OODC_REG OODC_IMPLEMENT \\\n", "0 182,163 672,614 26,688 Yes Yes No No \n", "1 5,687,037 436,591 26,482 Yes No No No \n", "2 8,082,978 916,001 33,745 Yes Yes No No \n", "3 6,563,849 522,357 22,718 Yes Yes No No \n", "4 218,843 1,661,017 33,232 Yes Yes No No \n", "5 8,834,942 419,452 22,448 Yes Yes No No \n", "6 582,974 1,115,932 29,135 Yes Yes No No \n", "7 331,354 2,530,701 38,695 Yes Yes Yes No \n", "8 3,266,538 623,614 40,199 Yes Yes Yes No \n", "9 509 1,031,597 22,977 Yes Yes Yes No \n", "10 97,123 369,534 59,694 Yes Yes Yes No \n", "11 1,059,466 1,506,420 21,709 Yes Yes Yes Yes \n", "12 312,353 2,703,391 25,254 Yes Yes Yes Yes \n", "13 210,044 825,796 25,768 Yes Yes Yes Yes \n", "14 167,401 896,708 28,113 Yes Yes Yes Yes \n", "15 1,200,329 6,775,561 52,833 Yes Yes Yes Yes \n", "16 693,453 2,900,319 22,213 Yes Yes Yes Yes \n", "17 1,391,046 871,126 25,459 Yes Yes Yes Yes \n", "18 5,760,783 3,094,325 90,743 Yes Yes Yes Yes \n", "19 434,892 1,963,726 49,707 Yes Yes Yes Yes \n", "20 674,844 516,524 43,843 Yes Yes Yes Yes \n", "21 728,841 1,555,626 34,901 Yes Yes Yes Yes \n", "22 11,401,092 2,255,903 38,881 Yes Yes Yes Yes \n", "23 2,227,444 313,349 34,934 Yes Yes Yes Yes \n", "24 495,390 1,492,530 55,555 Yes Yes Yes Yes \n", "25 34,090,952 548,952 33,825 Yes Yes Yes Yes \n", "26 1,521,110 12,396,372 62,341 Yes Yes Yes Yes \n", "\n", " OODC_IMPLEMENT_V2 ANO_REG LAT LONG geometry \\\n", "0 1 NaN -10.57 -37.45 POINT (-37.45000 -10.57000) \n", "1 1 NaN 1.99 -61.33 POINT (-61.33000 1.99000) \n", "2 1 NaN -20.51 -54.54 POINT (-54.54000 -20.51000) \n", "3 1 NaN 1.41 -51.77 POINT (-51.77000 1.41000) \n", "4 1 NaN -8.38 -37.86 POINT (-37.86000 -8.38000) \n", "5 1 NaN -8.77 -70.55 POINT (-70.55000 -8.77000) \n", "6 1 NaN -5.42 -45.44 POINT (-45.44000 -5.42000) \n", "7 1 NaN -18.10 -44.38 POINT (-44.38000 -18.10000) \n", "8 1 NaN -12.64 -55.42 POINT (-55.42000 -12.64000) \n", "9 1 NaN -9.62 -36.82 POINT (-36.82000 -9.62000) \n", "10 1 NaN -19.19 -40.34 POINT (-40.34000 -19.19000) \n", "11 0 2008.0 -3.79 -52.48 POINT (-52.48000 -3.79000) \n", "12 0 2009.0 -5.20 -39.53 POINT (-39.53000 -5.20000) \n", "13 0 2011.0 -7.28 -36.72 POINT (-36.72000 -7.28000) \n", "14 0 2022.0 -5.81 -36.59 POINT (-36.59000 -5.81000) \n", "15 0 2011.0 -22.25 -42.66 POINT (-42.66000 -22.25000) \n", "16 0 2015.0 -13.29 -41.71 POINT (-41.71000 -13.29000) \n", "17 0 2019.0 -6.60 -42.28 POINT (-42.28000 -6.60000) \n", "18 0 1996.0 -15.83 -47.86 POINT (-47.86000 -15.83000) \n", "19 0 2020.0 -24.89 -51.55 POINT (-51.55000 -24.89000) \n", "20 0 2014.0 -27.45 -50.95 POINT (-50.95000 -27.45000) \n", "21 0 2008.0 -15.98 -49.86 POINT (-49.86000 -15.98000) \n", "22 0 2014.0 -3.47 -65.10 POINT (-65.10000 -3.47000) \n", "23 0 2012.0 -9.46 -48.26 POINT (-48.26000 -9.46000) \n", "24 0 1994.0 -30.17 -53.50 POINT (-53.50000 -30.17000) \n", "25 0 2010.0 -10.83 -63.34 POINT (-63.34000 -10.83000) \n", "26 0 2003.0 -22.19 -48.79 POINT (-48.79000 -22.19000) \n", "\n", " marker_color \n", "0 red \n", "1 red \n", "2 red \n", "3 red \n", "4 red \n", "5 red \n", "6 red \n", "7 red \n", "8 red \n", "9 red \n", "10 red \n", "11 green \n", "12 green \n", "13 green \n", "14 green \n", "15 green \n", "16 green \n", "17 green \n", "18 green \n", "19 green \n", "20 green \n", "21 green \n", "22 green \n", "23 green \n", "24 green \n", "25 green \n", "26 green " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Creating colors for OODC-YES OR NO\n", "oodc_capitais['marker_color'] = pd.cut(oodc_capitais['OODC_IMPLEMENT_V2'], bins=2, \n", " labels=['green', 'red'])\n", "\n", "oodc_capitais" ] }, { "cell_type": "code", "execution_count": 4, "id": "c403138b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"<!DOCTYPE html>\n", "<head> \n", " <meta http-equiv="content-type" content="text/html; charset=UTF-8" />\n", " \n", " <script>\n", " L_NO_TOUCH = false;\n", " L_DISABLE_3D = false;\n", " </script>\n", " \n", " 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id="html_a06aaea3d7696666723210640a8cf3fa" style="width: 100.0%; height: 100.0%;"> - City: BRASILIA<br> - OODC legislation?: 1996.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_d41801956ebc1ab81d9ef89e0d458f68.setContent(html_a06aaea3d7696666723210640a8cf3fa);\n", " \n", "\n", " circle_marker_b57fa64bf2965bdec33f52885f24d8fd.bindPopup(popup_d41801956ebc1ab81d9ef89e0d458f68)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_83db038e7e75cea36c6e10b66cdd31ac = L.circleMarker(\n", " [-24.89, -51.55],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_72e7bafb2bbed70bbc72d452a4efb510 = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_b66f9f787126d8739905f8419401f1b1 = $(`<div id="html_b66f9f787126d8739905f8419401f1b1" style="width: 100.0%; height: 100.0%;"> - City: CURITIBA<br> - OODC legislation?: 2020.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_72e7bafb2bbed70bbc72d452a4efb510.setContent(html_b66f9f787126d8739905f8419401f1b1);\n", " \n", "\n", " circle_marker_83db038e7e75cea36c6e10b66cdd31ac.bindPopup(popup_72e7bafb2bbed70bbc72d452a4efb510)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_cf852790c561a33a4ea34b2c64e78fa0 = L.circleMarker(\n", " [-27.45, -50.95],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_d895eed4d46e070599a37d5f153acc73 = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_1b2269bb0fd8954933b2cfcd805b383e = $(`<div id="html_1b2269bb0fd8954933b2cfcd805b383e" style="width: 100.0%; height: 100.0%;"> - City: FLORIANOPOLIS<br> - OODC legislation?: 2014.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_d895eed4d46e070599a37d5f153acc73.setContent(html_1b2269bb0fd8954933b2cfcd805b383e);\n", " \n", "\n", " circle_marker_cf852790c561a33a4ea34b2c64e78fa0.bindPopup(popup_d895eed4d46e070599a37d5f153acc73)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_9fc65f4b2e09c7be9ced0d7823fd1fca = L.circleMarker(\n", " [-15.98, -49.86],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_5e65ee3de6ffb7456755282f6d95db79 = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_dad11db76f044787e68c798906b1196c = $(`<div id="html_dad11db76f044787e68c798906b1196c" style="width: 100.0%; height: 100.0%;"> - City: GOIANIA<br> - OODC legislation?: 2008.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_5e65ee3de6ffb7456755282f6d95db79.setContent(html_dad11db76f044787e68c798906b1196c);\n", " \n", "\n", " circle_marker_9fc65f4b2e09c7be9ced0d7823fd1fca.bindPopup(popup_5e65ee3de6ffb7456755282f6d95db79)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_552b75e26e76a4d5bb8812a39d0e4505 = L.circleMarker(\n", " [-3.47, -65.1],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_96611fa22714fc1b8eca2606e1e1a4a2 = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_c8813b634448ab19b4d5a8f81efc69ee = $(`<div id="html_c8813b634448ab19b4d5a8f81efc69ee" style="width: 100.0%; height: 100.0%;"> - City: MANAUS<br> - OODC legislation?: 2014.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_96611fa22714fc1b8eca2606e1e1a4a2.setContent(html_c8813b634448ab19b4d5a8f81efc69ee);\n", " \n", "\n", " circle_marker_552b75e26e76a4d5bb8812a39d0e4505.bindPopup(popup_96611fa22714fc1b8eca2606e1e1a4a2)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_d91432b45097431d09c8d01ff9300046 = L.circleMarker(\n", " [-9.46, -48.26],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_189b1d8fbf653ca29fcae9bed8c90161 = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_dae6bf19e78882d421341473316e5bdf = $(`<div id="html_dae6bf19e78882d421341473316e5bdf" style="width: 100.0%; height: 100.0%;"> - City: PALMAS<br> - OODC legislation?: 2012.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_189b1d8fbf653ca29fcae9bed8c90161.setContent(html_dae6bf19e78882d421341473316e5bdf);\n", " \n", "\n", " circle_marker_d91432b45097431d09c8d01ff9300046.bindPopup(popup_189b1d8fbf653ca29fcae9bed8c90161)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_2e73ef9d31df96302cd01a1aa175233d = L.circleMarker(\n", " [-30.17, -53.5],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_4bac4cdf27d241ed1bcaec1e19ad04fe = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_bb97ec6c5284d1d61bdb0078742dce7b = $(`<div id="html_bb97ec6c5284d1d61bdb0078742dce7b" style="width: 100.0%; height: 100.0%;"> - City: PORTO ALEGRE<br> - OODC legislation?: 1994.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_4bac4cdf27d241ed1bcaec1e19ad04fe.setContent(html_bb97ec6c5284d1d61bdb0078742dce7b);\n", " \n", "\n", " circle_marker_2e73ef9d31df96302cd01a1aa175233d.bindPopup(popup_4bac4cdf27d241ed1bcaec1e19ad04fe)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_606ca8b16daa43483d8fd622cb2e4e96 = L.circleMarker(\n", " [-10.83, -63.34],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_50ff5252c4cd9792b7abefaae583fa96 = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_787fb1d0823fedca39834fa58aa4fcc4 = $(`<div id="html_787fb1d0823fedca39834fa58aa4fcc4" style="width: 100.0%; height: 100.0%;"> - City: PORTO VELHO<br> - OODC legislation?: 2010.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_50ff5252c4cd9792b7abefaae583fa96.setContent(html_787fb1d0823fedca39834fa58aa4fcc4);\n", " \n", "\n", " circle_marker_606ca8b16daa43483d8fd622cb2e4e96.bindPopup(popup_50ff5252c4cd9792b7abefaae583fa96)\n", " ;\n", "\n", " \n", " \n", " \n", " var circle_marker_58a30941e3c843eec8c97790a91c7885 = L.circleMarker(\n", " [-22.19, -48.79],\n", " {"bubblingMouseEvents": true, "color": "green", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "green", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}\n", " ).addTo(map_b930743f217ce9992076d85cca135c21);\n", " \n", " \n", " var popup_849f0c4b28ddc0c2d4216bf9bdd67e65 = L.popup({"maxWidth": 300, "minWidth": 100});\n", "\n", " \n", " var html_ace1d65ee63965d1e1fc5cce645b24a9 = $(`<div id="html_ace1d65ee63965d1e1fc5cce645b24a9" style="width: 100.0%; height: 100.0%;"> - City: SAO PAULO<br> - OODC legislation?: 2003.0<br> - OODC implemented?: Yes</div>`)[0];\n", " popup_849f0c4b28ddc0c2d4216bf9bdd67e65.setContent(html_ace1d65ee63965d1e1fc5cce645b24a9);\n", " \n", "\n", " circle_marker_58a30941e3c843eec8c97790a91c7885.bindPopup(popup_849f0c4b28ddc0c2d4216bf9bdd67e65)\n", " ;\n", "\n", " \n", " \n", "</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>" ], "text/plain": [ "<folium.folium.Map at 0x15423a130>" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#PLOTTING THE MAP\n", "\n", "m = folium.Map(location=[-15.7975, -47.8919], tiles='Cartodb positron', zoom_start=4)\n", "heat_data = [[point.xy[1][0], point.xy[0][0]] for point in oodc_capitais.geometry]\n", "\n", "for i, oodc_capitais in oodc_capitais.iterrows():\n", " coords = oodc_capitais.geometry.coords[0][::-1]\n", " marker = folium.CircleMarker(\n", " location=coords,\n", " radius=5,\n", " color=oodc_capitais['marker_color'],\n", " popup=folium.Popup(\" - City: \" + str(oodc_capitais['CAPITAL']) + ' ' + \" - OODC legislation?: \" + str(oodc_capitais['ANO_REG'])+ ' ' + \" - OODC implemented?: \" + str(oodc_capitais['OODC_IMPLEMENT']),max_width=300,min_width=100)\n", " )\n", " m.add_child(marker)\n", " if i > 100:\n", " break\n", "\n", "#plugins.MarkerCluster(heat_data).add_to(m)\n", "#plugins.HeatMap(heat_data).add_to(m)\n", "\n", "m\n", "#\n", "\n", "#m.save('presentation/html/m.html')\n" ] } ], "metadata": { "kernelspec": { "display_name": "geo_3", "language": "python", "name": "geo_3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.12" } }, "nbformat": 4, "nbformat_minor": 5 }

Irene Farah

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