{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Como usar `latam` (v0.1.2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "En la versión `0.1.2` de `latam` incluimos los atributos `.df` y `.subdivisiones_df` a `Pais`. Estos son DataFrames de `pandas` con la información del país y sus subdivisiones, respectivamente.\n", "\n", "En esta versión también se agrega la funcionalidad de acceder al módulo `paises` directamente desde `latam`. Esto significa que puedes hacer\n", "```python\n", "import latam\n", "latam.paises.MEX\n", ">>>> \n", "```\n", "en lugar de\n", "```python\n", "from latam import paises\n", "paises.MEX\n", ">>>> \n", "```\n", "si así lo deseas. Ambas maneras funcionan." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import latam" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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abrevalpha_2alpha_3capitalcapital_horariocapital_latcapital_longcodigoes_independientees_islafecha_independenciahuso_horarionombrenombre_comunnombre_pronunciacion_localsubdivisiones
0MexMXMEXCiudad de MéxicoAmerica/Mexico_City19.43-99.13484TrueFalse1810-09-16[America/Tijuana, America/Hermosillo, America/...Estados Unidos MexicanosMéxico'me.xi.ko[Aguascalientes, Baja California, Baja Califor...
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" ], "text/plain": [ " abrev alpha_2 alpha_3 capital capital_horario capital_lat \\\n", "0 Mex MX MEX Ciudad de México America/Mexico_City 19.43 \n", "\n", " capital_long codigo es_independiente es_isla fecha_independencia \\\n", "0 -99.13 484 True False 1810-09-16 \n", "\n", " huso_horario \\\n", "0 [America/Tijuana, America/Hermosillo, America/... \n", "\n", " nombre nombre_comun nombre_pronunciacion_local \\\n", "0 Estados Unidos Mexicanos México 'me.xi.ko \n", "\n", " subdivisiones \n", "0 [Aguascalientes, Baja California, Baja Califor... " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "latam.paises.MEX.df" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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abrevcapitalcapital_horariocapital_latcapital_longalpha_2codigo_numericoes_contiguaes_islafecha_de_fundacionhuso_horarionombrenombre_comunnombre_pronunciacion_localnombres_nativos
0AGSCiudad de AguascalientesAmerica/Mexico_City21.88-102.29AGU1TrueFalse1857-02-05America/Mexico_CityAguascalientesAguascalientesa.ɣ̞was.ka'.ljen̟.tes
1BCMexicaliAmerica/Tijuana32.67-115.47BCN2TrueFalse1952-01-16America/TijuanaBaja CaliforniaBaja California'ba.xa. ka.li'.for.nja
2BCSLa PazAmerica/Hermosillo24.14-110.31BCS3TrueFalse1974-10-08America/HermosilloBaja California SurBaja California Sur'ba.xa. ka.li'.for.nja 'sur
3CAMSan Francisco de CampecheAmerica/Mexico_City19.85-90.53CAM4TrueFalse1863-04-29America/Mexico_CityCampecheCampechekam'pe.tʃe
4CHISTuxtla GutiérrezAmerica/Mexico_City16.75-93.12CHP7TrueFalse1824-09-14America/Mexico_CityChiapasChiapastʃjap'.as
5CHIHChihuahuaAmerica/Chihuahua28.64-106.09CHH8TrueFalse1824-07-06America/ChihuahuaChihuahuaChihuahuatʃi'.wa.wa
6COAHSaltilloAmerica/Chihuahua25.43-101.00COA5TrueFalse1824-05-07America/ChihuahuaCoahuila de ZaragozaCoahuilakoa'.wj.la ðe θa.ra'.ɣ̞o.θa
7COLColimaAmerica/Mexico_City19.24-103.73COL6TrueFalse1856-12-09America/Mexico_CityColimaColimako'.li.ma
8DURVictoria de DurangoAmerica/Mexico_City24.02-104.67DUR10TrueFalse1824-05-22America/Mexico_CityDurangoDurangodu'.ɾaŋ.ɡoKorian (Tepehuán),Tepēhuahcān (Náhuatl)
9GTOGuanajuatoAmerica/Mexico_City21.02-101.26GUA11TrueFalse1823-12-20America/Mexico_CityGuanajuatoGuanajuatogwa.na'.xwa.tokuanhasï juáta (Purépecha)
10HGOPachuca de SotoAmerica/Mexico_City20.12-98.74HGO13TrueFalse1869-01-16America/Mexico_CityHidalgoHidalgoi'.ðal.ɣo
11JALGuadalajaraAmerica/Mexico_City20.67-103.35JAL14TrueFalse1823-12-23America/Mexico_CityJaliscoJaliscoxa'.lis.koTlahtohcayotl Xalixco (Náhuatl)
12EdoMexToluca de LerdoAmerica/Mexico_City19.29-99.66MEX15TrueFalse1823-12-20America/Mexico_CityEstado de MéxicoEstado de Méxicoes'.ta.ðo ðe 'me.xi.koMēxihco (Náhuatl)
13CDMXCiudad de MéxicoAmerica/Mexico_City19.43-99.13CMX9TrueFalse2016-01-29America/Mexico_CityCiudad de MéxicoCiudad de Méxicosju'.ða(ð) ðe 'me.xi.koĀltepētl Mēxihco (Náhuatl)
14MICHMoreliaAmerica/Mexico_City19.77-101.19MIC16TrueFalse1823-12-22America/Mexico_CityMichoacán de OcampoMichoacánmi.tʃoa'.kan de o'.kam.poMichhuahcān (Náhuatl)
15MORCuernavacaAmerica/Mexico_City18.92-99.23MOR17TrueFalse1869-04-17America/Mexico_CityMorelosMorelosmo'.ɾe.los
16NAYTepicAmerica/Hermosillo21.51-104.89NAY18TrueFalse1917-01-26America/HermosilloNayaritNayaritna.ʝa'.ɾit
17NLMonterreyAmerica/Mexico_City25.67-100.30NLE19TrueFalse1824-05-17America/Mexico_CityNuevo LeónNuevo León'nwe.βo le.'on
18OAXOaxaca de JuárezAmerica/Mexico_City7.08-96.75OAX20TrueFalse1823-12-21America/Mexico_CityOaxacaOaxacawa'.xa.kaHuāxyacac (Nahuatl)
19PUEHeroica Puebla de ZaragozaAmerica/Mexico_City19.03-98.18PUE21TrueFalse1823-12-21America/Mexico_CityPueblaPuebla'pwe.βlaCuetlaxcoapan (Nahuatl)
20QROSantiago de QueretaroAmerica/Mexico_City20.59-100.39QUE22TrueFalse1823-12-23America/Mexico_CityQuerétaro de ArteagaQueretaroke'.ɾe.ta.ɾoHyodi Ndämxei (Otomí)
21QRChetumalAmerica/Cancun18.50-88.31ROO23TrueFalse1974-10-08America/CancunQuintana RooQueretarokin'.ta.na 'roo
22SLPSan Luis PotosíAmerica/Mexico_City22.15-100.99SLP24TrueFalse1823-12-22America/Mexico_CitySan Luis PotosíSan Luis Potosísan 'lwis po.to.'si
23SNLCuliacán RosalesAmerica/Hermosillo24.81-107.39SIN25TrueFalse1830-10-14America/HermosilloSinaloaSinaloasi.na'.loa
24SONHermosilloAmerica/Hermosillo29.09-110.95SON26TrueFalse1824-01-10America/HermosilloSonoraSonoraso'.no.ɾa
25TABVillahermosaAmerica/Mexico_City17.99-92.93TAB27TrueFalse1824-02-07America/Mexico_CityTabascoTabascota.'βas.ko
26TAMPSCiudad VictoriaAmerica/Mexico_City23.73-99.13TAM28TrueFalse1824-02-07America/Mexico_CityTamaulipasTamaulipasta.maw'.li.pas
27TLAXTlaxcala de XicohténcatAmerica/Mexico_City19.31-98.24TLA29TrueFalse1856-12-09America/Mexico_CityTlaxcalaTlaxcalatla(k)s'.ka.laTlaxcallān (Nahuatl)
28VERXalapa-EnríquezAmerica/Mexico_City19.54-96.93VER30TrueFalse1823-12-22America/Mexico_CityVeracruz de Ignacio de la LlaveVeracruzbe.ɾa'.kɾus
29YUCMeridaAmerica/Mexico_City20.97-89.62YUC31TrueFalse1823-12-23America/Mexico_CityYucatánYucatánɟʝu.ka.'tan
30ZACZacatecasAmerica/Mexico_City22.77-102.57ZAC32TrueFalse1823-12-23America/Mexico_CityZacatecasZacatecassa.ka.'te.kas
\n", "
" ], "text/plain": [ " abrev capital capital_horario capital_lat \\\n", "0 AGS Ciudad de Aguascalientes America/Mexico_City 21.88 \n", "1 BC Mexicali America/Tijuana 32.67 \n", "2 BCS La Paz America/Hermosillo 24.14 \n", "3 CAM San Francisco de Campeche America/Mexico_City 19.85 \n", "4 CHIS Tuxtla Gutiérrez America/Mexico_City 16.75 \n", "5 CHIH Chihuahua America/Chihuahua 28.64 \n", "6 COAH Saltillo America/Chihuahua 25.43 \n", "7 COL Colima America/Mexico_City 19.24 \n", "8 DUR Victoria de Durango America/Mexico_City 24.02 \n", "9 GTO Guanajuato America/Mexico_City 21.02 \n", "10 HGO Pachuca de Soto America/Mexico_City 20.12 \n", "11 JAL Guadalajara America/Mexico_City 20.67 \n", "12 EdoMex Toluca de Lerdo America/Mexico_City 19.29 \n", "13 CDMX Ciudad de México America/Mexico_City 19.43 \n", "14 MICH Morelia America/Mexico_City 19.77 \n", "15 MOR Cuernavaca America/Mexico_City 18.92 \n", "16 NAY Tepic America/Hermosillo 21.51 \n", "17 NL Monterrey America/Mexico_City 25.67 \n", "18 OAX Oaxaca de Juárez America/Mexico_City 7.08 \n", "19 PUE Heroica Puebla de Zaragoza America/Mexico_City 19.03 \n", "20 QRO Santiago de Queretaro America/Mexico_City 20.59 \n", "21 QR Chetumal America/Cancun 18.50 \n", "22 SLP San Luis Potosí America/Mexico_City 22.15 \n", "23 SNL Culiacán Rosales America/Hermosillo 24.81 \n", "24 SON Hermosillo America/Hermosillo 29.09 \n", "25 TAB Villahermosa America/Mexico_City 17.99 \n", "26 TAMPS Ciudad Victoria America/Mexico_City 23.73 \n", "27 TLAX Tlaxcala de Xicohténcat America/Mexico_City 19.31 \n", "28 VER Xalapa-Enríquez America/Mexico_City 19.54 \n", "29 YUC Merida America/Mexico_City 20.97 \n", "30 ZAC Zacatecas America/Mexico_City 22.77 \n", "\n", " capital_long alpha_2 codigo_numerico es_contigua es_isla \\\n", "0 -102.29 AGU 1 True False \n", "1 -115.47 BCN 2 True False \n", "2 -110.31 BCS 3 True False \n", "3 -90.53 CAM 4 True False \n", "4 -93.12 CHP 7 True False \n", "5 -106.09 CHH 8 True False \n", "6 -101.00 COA 5 True False \n", "7 -103.73 COL 6 True False \n", "8 -104.67 DUR 10 True False \n", "9 -101.26 GUA 11 True False \n", "10 -98.74 HGO 13 True False \n", "11 -103.35 JAL 14 True False \n", "12 -99.66 MEX 15 True False \n", "13 -99.13 CMX 9 True False \n", "14 -101.19 MIC 16 True False \n", "15 -99.23 MOR 17 True False \n", "16 -104.89 NAY 18 True False \n", "17 -100.30 NLE 19 True False \n", "18 -96.75 OAX 20 True False \n", "19 -98.18 PUE 21 True False \n", "20 -100.39 QUE 22 True False \n", "21 -88.31 ROO 23 True False \n", "22 -100.99 SLP 24 True False \n", "23 -107.39 SIN 25 True False \n", "24 -110.95 SON 26 True False \n", "25 -92.93 TAB 27 True False \n", "26 -99.13 TAM 28 True False \n", "27 -98.24 TLA 29 True False \n", "28 -96.93 VER 30 True False \n", "29 -89.62 YUC 31 True False \n", "30 -102.57 ZAC 32 True False \n", "\n", " fecha_de_fundacion huso_horario nombre \\\n", "0 1857-02-05 America/Mexico_City Aguascalientes \n", "1 1952-01-16 America/Tijuana Baja California \n", "2 1974-10-08 America/Hermosillo Baja California Sur \n", "3 1863-04-29 America/Mexico_City Campeche \n", "4 1824-09-14 America/Mexico_City Chiapas \n", "5 1824-07-06 America/Chihuahua Chihuahua \n", "6 1824-05-07 America/Chihuahua Coahuila de Zaragoza \n", "7 1856-12-09 America/Mexico_City Colima \n", "8 1824-05-22 America/Mexico_City Durango \n", "9 1823-12-20 America/Mexico_City Guanajuato \n", "10 1869-01-16 America/Mexico_City Hidalgo \n", "11 1823-12-23 America/Mexico_City Jalisco \n", "12 1823-12-20 America/Mexico_City Estado de México \n", "13 2016-01-29 America/Mexico_City Ciudad de México \n", "14 1823-12-22 America/Mexico_City Michoacán de Ocampo \n", "15 1869-04-17 America/Mexico_City Morelos \n", "16 1917-01-26 America/Hermosillo Nayarit \n", "17 1824-05-17 America/Mexico_City Nuevo León \n", "18 1823-12-21 America/Mexico_City Oaxaca \n", "19 1823-12-21 America/Mexico_City Puebla \n", "20 1823-12-23 America/Mexico_City Querétaro de Arteaga \n", "21 1974-10-08 America/Cancun Quintana Roo \n", "22 1823-12-22 America/Mexico_City San Luis Potosí \n", "23 1830-10-14 America/Hermosillo Sinaloa \n", "24 1824-01-10 America/Hermosillo Sonora \n", "25 1824-02-07 America/Mexico_City Tabasco \n", "26 1824-02-07 America/Mexico_City Tamaulipas \n", "27 1856-12-09 America/Mexico_City Tlaxcala \n", "28 1823-12-22 America/Mexico_City Veracruz de Ignacio de la Llave \n", "29 1823-12-23 America/Mexico_City Yucatán \n", "30 1823-12-23 America/Mexico_City Zacatecas \n", "\n", " nombre_comun nombre_pronunciacion_local \\\n", "0 Aguascalientes a.ɣ̞was.ka'.ljen̟.tes \n", "1 Baja California 'ba.xa. ka.li'.for.nja \n", "2 Baja California Sur 'ba.xa. ka.li'.for.nja 'sur \n", "3 Campeche kam'pe.tʃe \n", "4 Chiapas tʃjap'.as \n", "5 Chihuahua tʃi'.wa.wa \n", "6 Coahuila koa'.wj.la ðe θa.ra'.ɣ̞o.θa \n", "7 Colima ko'.li.ma \n", "8 Durango du'.ɾaŋ.ɡo \n", "9 Guanajuato gwa.na'.xwa.to \n", "10 Hidalgo i'.ðal.ɣo \n", "11 Jalisco xa'.lis.ko \n", "12 Estado de México es'.ta.ðo ðe 'me.xi.ko \n", "13 Ciudad de México sju'.ða(ð) ðe 'me.xi.ko \n", "14 Michoacán mi.tʃoa'.kan de o'.kam.po \n", "15 Morelos mo'.ɾe.los \n", "16 Nayarit na.ʝa'.ɾit \n", "17 Nuevo León 'nwe.βo le.'on \n", "18 Oaxaca wa'.xa.ka \n", "19 Puebla 'pwe.βla \n", "20 Queretaro ke'.ɾe.ta.ɾo \n", "21 Queretaro kin'.ta.na 'roo \n", "22 San Luis Potosí san 'lwis po.to.'si \n", "23 Sinaloa si.na'.loa \n", "24 Sonora so'.no.ɾa \n", "25 Tabasco ta.'βas.ko \n", "26 Tamaulipas ta.maw'.li.pas \n", "27 Tlaxcala tla(k)s'.ka.la \n", "28 Veracruz be.ɾa'.kɾus \n", "29 Yucatán ɟʝu.ka.'tan \n", "30 Zacatecas sa.ka.'te.kas \n", "\n", " nombres_nativos \n", "0 \n", "1 \n", "2 \n", "3 \n", "4 \n", "5 \n", "6 \n", "7 \n", "8 Korian (Tepehuán),Tepēhuahcān (Náhuatl) \n", "9 kuanhasï juáta (Purépecha) \n", "10 \n", "11 Tlahtohcayotl Xalixco (Náhuatl) \n", "12 Mēxihco (Náhuatl) \n", "13 Āltepētl Mēxihco (Náhuatl) \n", "14 Michhuahcān (Náhuatl) \n", "15 \n", "16 \n", "17 \n", "18 Huāxyacac (Nahuatl) \n", "19 Cuetlaxcoapan (Nahuatl) \n", "20 Hyodi Ndämxei (Otomí) \n", "21 \n", "22 \n", "23 \n", "24 \n", "25 \n", "26 \n", "27 Tlaxcallān (Nahuatl) \n", "28 \n", "29 \n", "30 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "latam.paises.MEX.subdivisiones_df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Aquí puedes ver todos los atributos de cada `Subdivision` del `Pais` México.\n", "\n", "Cada `Subdivision` tiene el atributo `.codigo` y `.codigo_numerico` (las columnas `alpha_2` y `codigo_numerico`, respectivamente). El código (o `alpha_2` esta basado en la norma [ISO-3611-2](https://es.wikipedia.org/wiki/ISO_3166-2) para las subdivisiones y [ISO-3611-1](https://es.wikipedia.org/wiki/ISO_3166-1) para los paises. Esto significa que puedes utilizar este DataFrame para mezclar, filtrar, manipular otros datos de fuentes oficiales o que utilizen la norma. Por ejemplo," ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "import geopandas as gpd" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "datos_geopandas = gpd.read_file(gpd.datasets.get_path(\"naturalearth_lowres\"))\n", "datos_geopandas.plot()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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/+IjVYagIocndS+VVda3eZkFBaauHx7WNi+bNm0YyIksTfKgyBp6cW2B1GCpCaHL30qItZa3epvhINQX7W19/PDE2ijduHMnIrORWb6uCw9f5JcxZV2R1GCoCaHL3wqItpTz44VqPtm1t18xxCbFRvH7jCEb10AQfqu55bzULNwduEngVmTS5e2jt3nJue3tlqyb0aGxBQVNTzronwXUG/8r1udw/MZvLhnVlcEZ72kTrZNuhoNbhZPrbeR7VHlLKXa2aIDsS1TmcbC+tpHvHeOJcyXNHWSU3vr7C7QupTcnbeYiK6jraxkV7tH2bGDvn9e/Mef3/U2ve6TT810fr9I7IEFBd5+Sm11fwzi2jGZShk7Qo33NnguxM4C2gC+AEZhhjnhORfwD9XKslAeXGmJwmtt8JVAAOoL6p6aCC2WuLd/DYZ/mIQNekNvRISWBbyVEOVHp3x2G903DnO9/z0k+HER/jm7+xNptw8ZB0Te4hoqKmnutfW8Y/bh1D385trQ5HhRl3umXqgfuMMacBo4E7RKS/MeZqY0yOK6F/AHx4in2c7Vo3pBI7wHWjuzMkMwljYO+hYyzaUkahjyZi+GZzKT/52zIOefmHorGRPZLpEO/ZtwEVeIeq6rjulWXsLKu0OhQVZlpM7saYImPMKtfzCmATcKKouYgIcBXwrr+CtFJibBRv/GwEfTol+mX/q/eUc+Vfl1Ja4d6UcC2Jstu4wI16Nyp4lFbUcN0ryzhaU291KCqMtOqCqohkAUOBZY0WjwP2G2O2NLOZAb4QkZUiMv0U+54uInkikldaGlwjCTokxPD2z0e5VUPGE1tLjvLk3Hyf7W/SoJbLEavgsq/8GIs9GFarVHPcTu4ikkhD98s9xpjGt9ldy6nP2scaY4YBk2jo0jmzqZWMMTOMMbnGmNzU1OArltWlfRx///koUhJj/bL/f63ay6Yi39y9eHqvjrRvo10zocabEVRKncyt5C4i0TQk9pnGmA8bLY8CLgP+0dy2xphC188S4CNgpDcBWykrJYG3fz6SdnG+H2RkDDz2mW/O3qPtNiY0GkWjQoMndy4r1ZwWk7urT/1VYJMx5pmT3j4PyDfGNDlZpIgkiEjb48+B84H13oVsrdPS2vH6jSNIiPH9mPKFm0v5zEd3L7o716sKHsVHqskvbv2dy0o1xZ0z97HANOAcEVntekx2vXcNJ3XJiEi6iMxxvewMLBaRNcBy4FNjzFwfxW6Z4d2TWfLAOTw4KZuuSb7th7/z3e/5Z573QxnH9k7hz9cOJdqu87GGkvnaNaN8RILxa2Bubq7Jy8uzOgy3OJyGLzft540lO1m6/YDP9nvvhL7cdU5vGr44eW7J1jJufXuljsQIESOzknn/tjFWh6FCiIisbGqYuZYf8JLdJlwwoAvvTh/N3HvGMa5Pik/2+8y8zTz44TrqHU6v9jO2dwrvTR/ttwvByrdW7j7E4WOtrzSq1Mk0uftQdpd2/O36XIb5aGKN91bs4Za38qj08qx7YNf2fHj76fRISfBJXMp/HE7Dv7/fZ3UYKgxocvexuGg7r94wgp4pCUzNSeeD28fQLTne4/3NLyjl2r995/VNTt06xvOv28YwROuYBL0/f7VFu9GU1zS5+0GHhBjenT6ap68cwvDuycy5exxXDM/weH9r9x7mwQ/XeR1Xx8RY/nX76Txx+SC/3ZClvHegspYZ3+iE2so7mtz9pHO7OKLtDf+8ibFRPH3lEF74yTCPby5auKWUimrv+2Kj7TauHtGN+b8+S5N8EPvboh2UHPFNDSMVmTS5B9CFg9OYe884xvTs2Opta+udfJ3vu2FyjZP8reN7+my/yjeO1Tl49svmKnoo1TJN7gGW1r4NM28exYOTsls9Bv2zdcU+jyfabiPWrr8GwegfK3bzpy8K2K9n8MoD+n+1BWw24dbxvfjoF2Ppler+CJYFm0uoqvX9hbaVuw/5fJ/Ke04Df/l6K2Mf/5q73/ue1XvKrQ5JhRBN7hYa2LU9s+8ax7TR3d1av7rO6fHcq81xOA2rd5f7dJ/Kt+qdho9XF3LJC0u47MUlfLKmkDov739Q4U+Tu8XaxNh59JKBvHpDLh0TYlpcf46Pas8cV1Bc4dV0gSqwVu0u5653v2fcE/N5Yf5WCsuPWR2SClKa3IPEuad15s2bWi6YOT+/hOo63yVj7ZIJTcVHqnnq8wJOf/xrLn/pW15fskP75tUP6ATZQWRAejs6JsSccn7WyloHCzeXcr6PZltatUuTe6hbuesQK3cd4pHZGxmRlcxFg9OYODCNDvHRHKqq46Dr96lfF52nNZJocg8iIsKYXh2ZvfbUXS+frS/2WXJPjNVfgXBhDCzfcZDlOw7yu1kbTiwD+O2Fp2lyjzDaLRNkxvRqeQz85xuKKfbRJN33T8omM1lvZAo3xvwnscdE2by6Q1qFJk3uQeb0Xi1XlayqdfDI7A0+OV5ibBTPXJVDlE3rvoerKYPSSIpv+WK9Ci+a3INMVsd40trHtbjenHXFzPfRHasjspL56r7xXDa0K16Wj1dB6LrR3awOQVlAk3uQEREyO7hXRfK/P17PMR8NY+zeMYFnrs7hi3vOZPIg3/TnK+tld2nLsG4drA5DWUCTexCqqnPvLtS9h47x3Fe+rT/Sp3NbXrxuOLPvOoOz+6X6dN8q8H4yqpvXs3mp0OTOBNmZIjJfRDaJyAYRudu1/Pcisq+JeVVP3n6iiBSIyFYRecDXDQhHrTkbf3XxdnYfqPJ5DAO7tuf1G0fyr9vGMLpnss/3r/yvTbSdS3Si9Ijlzpl7PXCfMeY0YDRwh4j0d733rDEmx/WYc/KGImIHXgAmAf2Baxttq5rRmuRe5zA89UWB32LJzUrm3VtG85drh/rtGMo/puak0y7OsxLTKvS1mNyNMUXGmFWu5xXAJsDd04GRwFZjzHZjTC3wHjDV02AjRVUr70D9ZE0ha/eW+ycYGq4DXDQknZ+dnuW3Yyjfu26UezWLVHhqVZ+7iGQBQ4FlrkV3ishaEXlNRJq6atMV2NPo9V6a+cMgItNFJE9E8kpLfVscK9R4cpH08c/yMccHNvvJA5OyydYbYUJCz5QEBumUihHN7eQuIonAB8A9xpgjwEtALyAHKAL+1NRmTSxrMgMZY2YYY3KNMbmpqZF7Ic/hNNTUt77i37fbDvDNZv/+UYyLtvPcNUOJidLr8MFueHcdIRPp3Pq/VESiaUjsM40xHwIYY/YbYxzGGCfwNxq6YE62F8hs9DoDKPQu5PDmTVGwWav9/0/br0tbHpp8mt+Po7wzTJN7xHNntIwArwKbjDHPNFqe1mi1S4H1TWy+AugjIj1EJAa4BpjlXcjhLT7GzvM/GUr3ju6NdW+spKLGDxH92PVjunNOdqeAHEt5Rse2K3fO3McC04BzThr2+KSIrBORtcDZwK8ARCRdROYAGGPqgTuBz2m4EPu+McY3982HKRFhyuB05v1qPI9MHeBWjffjSgOU3EWEJ68YTEpibECOp1qnbWwUfTolWh2GsliLJQGNMYtpuu/8R0MfXesXApMbvZ7T3LqqeTFRNq4fk8VlwzKYsXA7f/1mW4t98SUVgavnnZIYyxs3juDnb65g/5HA/FFR7snploRNawVFPL0yFuQSY6O4d0JfZt15RotnY4eq6qj14GKspwZ2bc/Hd5zBgPR2ATumatlQ7ZJRaHIPGf26tGXWnWdw7chTF4FauesQJRXVAZtjs0v7OP552xjO7985IMdTLRvWLcnqEFQQEH+PjfZEbm6uycvLszqMoPXp2iIe+HAtFdWnrkGTGBtFh4Ro/nRlDiN7+LeEgNNpeGJuPn9duN2vx1EtW/T/ziYzufUX5FVoEpGVxpjck5frmXsIunBwGnN+OY6czKRTrne0pp49B4/xi5kr/T6Rss0mPDj5NB6/bJDWhrdYgs6updDkHrIyk+P5521juP2sXi3WYC87Wsv0t/N8OrF2c64Z2Y03bxpJuzhNMFZJiLVbHYIKAprcQ1i03cb9E7P5y7VDWzxbXr/vCA98sNbvJQoAxvZO4cNfjPVorL7yTrRdiI3S5K40uYeFKYPT+eu04S2WBfj36kJeWbQjIDH17pTIR78Yy8gsLRccSPEx+o1JNdDkHibOPa0zb/xsBPExpz5re+yzTXy3/UBAYkpOiOHtm0dy4eC0lldWPpGo/e3KRZN7GDm9dwpv/3wUbU/R3+00cPd733PgaGBuPIqNsvOnK4cwpIWLv8o3tL9dHafJPcwM796Bd28ZTfIpyhbsP1LDr95fg9MZmGGwcdF2ZkwbTqe2Wq7A33SkjDpOk3sYGti1Pe/fOprO7ZpPpgs3lwZ0THrndnG8PG04MXb9lfOnBO1zVy76f1qY6t2pLa/eMOKU6zz9RQF5Ow8GKKKGSoV/uHRgwI4XibRbRh2nyT2MDeza/pS3ojuchqXbAnNx9bircjO5cWxWQI8ZSbRbRh2nyT3MtVSLJiO5TYAi+Y+HJp/G6b06Bvy4kUBHy6jjNLmHuSmD05sdPTNpYBcuHJQe4Iggym7jhZ8MI9OCPyzhTs/c1XGa3MNcmxg7l+T8eE7yy4Z15S/XWjcfaoeEGP52fW6L4/JV6yTov6dy0eQeAU7umvnp6G48fcUQoiweuZLdpR3PXDXE0hjCTdu4aKtDUEFCk3sE6J/ejnOzO5HePo5bx/fk0akDg2amnokD07j73D5WhxE2eqYmWB2CChItdtCJSCbwFtAFcAIzjDHPichTwEVALbANuNEYU97E9juBCsAB1DdVd1j536s/O/WwSCvdfW4fVu0+xKItZVaHEvJOS9NZsVQDd87c64H7jDGnAaOBO0SkPzAPGGiMGQxsBh48xT7ONsbkaGJXTbHZhD9cMtCy/v9wkZIYq5OWqxNa/L/JGFNkjFnlel4BbAK6GmO+MMYcnwroOyDDf2GqcNe9YwJ3nNXb6jBC2mlpba0OQQWRVp0qiUgWMBRYdtJbNwGfNbOZAb4QkZUiMv0U+54uInkikldaWtqasFSYuHV8T60B74XsLprc1X+4ndxFJBH4ALjHGHOk0fKHaOi6mdnMpmONMcOASTR06ZzZ1ErGmBnGmFxjTG5qaqrbDVDhIy7azv9cPMDqMELW4WN1VoeggohbyV1EomlI7DONMR82Wn4DMAW4zjQzxY8xptD1swT4CBjpbdAqfJ3VrxOTBnaxOoyQNL+gNGCVPlXwazG5i4gArwKbjDHPNFo+EbgfuNgYU9XMtgki0vb4c+B8YL0vAlfh65KhP77pSrWstKKGjUVHWl5RRQR3ztzHAtOAc0RktesxGXgeaAvMcy17GUBE0kVkjmvbzsBiEVkDLAc+NcbM9X0zVDjJ0Yk9PPZ1fonVIagg0eI4d2PMYqCpO17mNLHseDfMZNfz7YDegqhapXO7ODq3i2X/kcDMFhVO5heU8Eu9KUyhd6iqIDU4I8nqEELS6j3lAZtCUQU3Te4qKF2m/e4eMQZmLArcDFsqeGlyV0Fp0qA0puYEvhxxOHht8Q52lFVaHYaymCZ3FbQeuXjgKeeBVU2rcxgenb3R6jCUxTS5q6DVPj6ap67Q6/Ge+Dq/hPkFOnImGDmchj0Hq/x+bUSnbVFB7cy+qUwb3Z23v9tldSgh59FPNjK2V4oWZPOx6joH3+8uZ8XOg2wqOkKU3UZ8tJ02MXbiXY82MVEnntc5DDvKjrK9tJLtpZXsOFBJbb2TrkltePeW0XTzU8kNTe4q6F0zMlOTuwe2l1Xy+YZiLhqi1y68cfhYHSt3HWT5jkMs33GAdfsOU+fw/k7gfeXHuOqvS5l5yyh6pSb6INIf0uSugp7TaXUEoWv5joOa3FupvKqWxVvLWLHjIMt2HKRgfwVNF1fxXvGRal5ZtIPHLhvk831rcldBr16zu8dW7DxodQghY/2+w7y1dCcfry6kpj5wv3Pt2vgnDWtyV0GvXotheaxgfwWHj9XRvo3OrdqU2nonczcU8+a3O1m565AlMfjrs9HkroJancPJn74osDqMkGUMrNp1iLOzO1kdSlBxOg1//noLM5ftprTC2jt62/lpUnO9jK6C2h9mb+S77dq14I3l2jXzI5+sLeT/vtxieWIH/525a3JXQeuzdUW8uVRHyXgrT5P7D9TUO3jq8+D4NhgfY2dg1/Z+2bcmdxW0khNirA4hLKzZc5jqOofVYQSNd5btZu+hY1aHgQg8d81QeqQk+GX/mtxV0MrNSia1rZYf8Fatw8nyHXr2ftzSbQesDgGA31zQjwn9O/tt/5rcVVDL7d7B6hDCwv0frA2K/uVgUBYEJZEvyUnn9vG9/HoMHS2jgs532w/w8epC5m0spuxordXhhIWiw9Xc/veVzLxlFLFRdqvDsZTVv1NDMpN4/PLBNMxg6j965q6CzuItZby7fLfl/xOGm7xdh3j44w00M5d9xLDyzL1Luzj+Nm04cdH+/wPrzgTZmSIyX0Q2icgGEbnbtTxZROaJyBbXzya/P4vIRBEpEJGtIvKArxugws/1Y7oTY9fzDn94b8Ue3orgEUhVtfVU1VpzcTnaLvzt+lw6tYsLyPHc+T+oHrjPGHMaMBq4Q0T6Aw8AXxlj+gBfuV7/gIjYgReASUB/4FrXtko1q1O7OC7WiTr85pHZG1mytczqMCxRVmHdt8FzszszKMM/wx6b0mJyN8YUGWNWuZ5XAJuArsBU4E3Xam8ClzSx+UhgqzFmuzGmFnjPtZ1Sp3TzuB5WhxC2HE7DHe+sYveBKqtDCbhSC7tkLgnw1JGt+u4rIlnAUGAZ0NkYUwQNfwCApu5v7grsafR6r2uZUqeU3aUd4/qkWB1G2CqvquPmt1ZwtKbe6lACyqr+9nZxUZydnRrQY7qd3EUkEfgAuMcYc8TdzZpY1uTVHBGZLiJ5IpJXWlrqblgqjN0/MZtou39HFESyzfuP8uv311gdRkBZldwvHJwW8FFKbiV3EYmmIbHPNMZ86Fq8X0TSXO+nAU3N6bUXyGz0OgMobOoYxpgZxphcY0xuampg/8Kp4DSwa3vun5htdRhhbe6GYjbvr7A6jIDJ22lN5cdLcgLfYeHOaBkBXgU2GWOeafTWLOAG1/MbgI+b2HwF0EdEeohIDHCNazul3HLT2B6c1U//2PvTByv3Wh1CQFRU1/HZ+qKAHze9fRwjspIDflx3ztzHAtOAc0RktesxGXgcmCAiW4AJrteISLqIzAEwxtQDdwKf03Ah9n1jzAY/tEOFKZtNePrKIVqGwI8+/H4f9Y7wnxDls3XFVNcFvp3pSW1wWnBvgTujZRYbY8QYM9gYk+N6zDHGHDDGnGuM6eP6edC1fqExZnKj7ecYY/oaY3oZY/7Xn41R4SklMZZnr8rBzzf0RazSihoWbQn/oZH/sugbSt6uQ9z3zzU4AjzpjN4pokLCGX1SuPVM/9biiGRWJb5A2VlWaWld+49XF7Jwc2AHimhyVyHjvvP7kpOZZHUYYWnexv2UV4VvuYcPV1n7xysmysaIHoHtd9fkrkJGtN3G328exe1n9dLyBD5W63DyxzmbrA7DL77ffYh3lu+2NIZxvVNIjA1snUb9P0SFlMTYKO6fmM2X947nggH+q4Udid7P28usNU2OVA5J9Q4nz87bzBUvL7W8CN0FA7oE/Jia3FVI6tYxnr9Oy+Wdm0eR3aWt1eGEjYc+XMeeg6FflmBHWSWXv7yU577aEvALmSezCZx7WuAnKNfkrkLa6b1TmH3XGTx6yUA6xPtnouFIUlFTz13vfk9diA6NNMbwzrLdTH5uEWv2lFsdDgDDu3egY2Lgh/JqclchL8puY9ro7iz49dncODaLKJuOmfTG6j3lPDtvs9VhtNrOskpueSuP//poHceCaM7Yc7Kt6T7UmZhU2GgfH83DFw3gulHdeGT2poAPPQsnL32zjbKjNZzZN5WxvVLoEISTldc7nOTtOsTX+SV8tWk/20orrQ6pSedkB75LBkCCcVaW3Nxck5eXZ3UYKoQZY3jpm208ObfA6lBCnggM7tqecX1SGdcnhaHdOhATZc2X/pIj1SzZVsb8/FIWFJRwpDq4q1p2TWrD4vvP9uuUeiKy0hiTe/JyPXNXYUlEuH18L7aXVob9DTr+Zgys2XuYNXsP8/z8rcTH2BnTsyPj+qRwRp9UeqUm+C15Hamu47ttB/h22wGWbC1jS8lRvxzHX87J7uT3uVKbo8ldhS0R4X8vHciuA5WssKgaYDiqqnXwVX4JX+U3FILt3SmRmTePorOX08dV1tSz80AlO8uq2Fh0mCVbD7B2bzkWD3ZpUUKMnaT4GFISY0iKj2HJ1jLqXUFb1SUDmtxVmIuNsvPyT4cz9YUl7D10zOpwwtLWkqPc8Npy/nHrGNq3aXnEUnWdg2+3lVFQfJSdZZXsOFDJzrJKSiqsmyXJU5cO7cqzV+f8YNkHK/dy3z/XEBdtY0yvjtYEhiZ3FQE6Jsby6g0juPylbyNu5qFAyS+u4Ja38njrppHERf94Uop6h5Ol2w/w8epCPt9QTEWQ95W7I8Zu494JfX+0/PLhGRyorGHZ9oNN/lsEil5QVRFj94EqZq3Zx+y1ReQXR84EFYF0wYDOvHjdcOw2wRjDqt2HmLW6kE/XFVl+l6iv3XxGD347pX+z7+85WEVmcrzf42jugqomdxWRtpZUMHttEbPXFrE1xC7SBbvLh2WQ2jaWT9YUsq88PLvC2sZFsfA3ZwfFEFFN7ko1o6C4gk/XFjJ7bRHby4JzrLQKLg9Myua28cFRglqHQirVjH5d2tKvSz9+NaEvm4oqmLuhmO2lRyksP0bR4Wr2H6kO+hEbyr9G9kjm4iHpPP/1VkTgZ6dnWR1SizS5K+UiIvRPb0f/9HY/WF7ncLL/SDUvLtjGO8usLR2rrHF1biaXD89gyuA0tpQctfRCqbs0uSvVgmi7jYwO8Txy8QCKD1fztWt8twpuSfHRPH/tMIATUzSeuJ3oxGvBYHA6od7pxGkMDic4nM6Gn8bgcDoZkpHk2meMJZNde6LF5C4irwFTgBJjzEDXsn8A/VyrJAHlxpicJrbdCVQADqC+qX4hpUJFlN3GX64dylV/XcqGwiNWh6NaEBtl44w+KVaHYRl3CkS8AUxsvMAYc/XxybKBD4APT7H92a51NbGrkJcQG8XMm0dxVW6G1aEodUotJndjzEKgyZllpaFowlXAuz6OS6mglRQfw5NXDOG96aPplZpgdThKNcnb0m7jgP3GmC3NvG+AL0RkpYhMP9WORGS6iOSJSF5pqZZqVcFvdM+OzLl7HPdO6GtZlUTVPCGy6/p7+xt5Lac+ax9rjBkGTALuEJEzm1vRGDPDGJNrjMlNTU31MiylAiM2ys4vz+3D5/ecydje1tURUepkHo+WEZEo4DJgeHPrGGMKXT9LROQjYCSw0NNjKhWseqQk8Pefj+Lfq/fx6OxNHKwMr1vtQ0F2l7ZcN7o7Nmk4a0+IDf7hiv7kzVDI84B8Y0yTxbJFJAGwGWMqXM/PBx7x4nhKBTUR4dKhGZzdrxMzFm5n5rLdHD5WZ3VYESO/uIKyihruOa+PZTXUg0mL3TIi8i6wFOgnIntF5Oeut67hpC4ZEUkXkTmul52BxSKyBlgOfGqMmeu70JUKTknxMfy/idksffAcHpk6gO4d/V88SjV47qstPP1FAcFYViXQtLaMUn7mcBq+3LSfVxZt10lDAmT6mT15cFJ2RJzBa20ZpSxitwkXDOjCBQO6sHpPOa8s2s5n64txaMEav5mxcDs7yyr542WDSEmMtTocS+iZu1IW2HuoijeW7OS9FXt0AhE/Sk6I4Y+XDmTiwDSrQ/EbLfmrVBA6Ul3HZ+uKWL3nMOv2lZNfVHFi/k3lO1fnZvLEFYOtDsMvNLkrFQKq6xzkF1ewbm85a/ce5vs95TqZiI/867Yx5IZI0a/W0D53pUJAXLSdnMwkcjKTADDGsHBLGU98ls/GIi1W5o0XF2zj1Rs6RMRFVvD+DlWllB+JCOP7pjL7rjN47pocugVgTs5w9XV+Cec98w2Lt5RZHUpAaHJXKgTYbMLUnK58ee94Hpk6gJRE6+fuDEXbSisp2B8Zk6NrclcqhMRE2bh+TBbf/OZsfnVeXxJiguMW+7ZxUSTGhkYvb1KbaKtDCIjQ+DSUUj+QEBvF3ef14aeju/H8/K28t3wPx+ocATn2Wf1SGZyRRFbHeLJSEsjqmECH+Ghq6p0sKCjlkzWFfLlpPzX1zoDE01pJ8ZGR3HW0jFJhoKbeQd7OQyzcXMo3m0vJL/Z918O52Z341YS+DOzavsV1K6rrmLdxP7PWFLJoS5nfbti6+9w+DOza/kRxX5HGU+oJrv9c7zUUAR6c0Z6k+PDp1tKhkEpFkJIj1SzcUsbCzaUs2lLKoSrPC5iN65PCvRP6MrRbB4+2P1hZy5x1Rby9dJdP+7tPS2vHp3edgc0WGaNfmqPJXakIVedwMm/jfmYu28WSrQfc3m50z2TuO7+fzyaErq138txXm3lpwTZ8cSL/5k0jGd9X537Q5K6UYlvpUd5dtpt/rtzbZDnihBg7w7OSue3Mnpze2z+TS6/cdYj73l/NzgNVHu/j9F4dmXnzqIgZs34qmtyVUidU1zmYs66Ij1cX0rVDG3IyksjplkSv1ETsAejmqKqt57E5+bz93S6Ptp9151gGZyT5NqgQpXeoKqVOiIu2c9mwDC4blmHJ8eNjonj0koGM6pnML9/9vlXdNFMGp2lid4OOc1dKWWbK4HT+dNUQ3O1dibIJv7mgn3+DChOa3JVSlrp0aAaPXTrIrXWvG9WN7h0T/BxReNDkrpSy3DUju/H7i/qfcp2EGDt3ndsnQBGFPnfmUH1NREpEZH2jZb8XkX0istr1mNzMthNFpEBEtorIA74MXCkVXn42tgcPTMpu9v2k+BjaRAdHuYVQ4M6Z+xvAxCaWP2uMyXE95pz8pojYgReASUB/4FoROfWfZqVURLttfC/uOa/ps/N95cf4w6ebAhxR6GoxuRtjFgIHPdj3SGCrMWa7MaYWeA+Y6sF+lFIR5O5z+3Dr+J5NvvfFhmLqHcFZsybYeNPnfqeIrHV12zR1X3JXYE+j13tdy5okItNFJE9E8kpLS70ISykVykSEByZm87PTs3703rQx3Ymy66VCd3j6r/QS0AvIAYqAPzWxTlODm5odzWqMmWGMyTXG5Kam6i3FSkUyEeF3U/pzzYjME8ui7cK00d0tjCq0eJTcjTH7jTEOY4wT+BsNXTAn2wtkNnqdARR6cjylVOSx2YT/vXQQl+SkA9C5XRwdE2Mtjip0eHSHqoikGWOKXC8vBdY3sdoKoI+I9AD2AdcAP/EoSqVURLLbhKevHEJNvZN95cesDiektJjcReRd4CwgRUT2Ag8DZ4lIDg3dLDuBW13rpgOvGGMmG2PqReRO4HPADrxmjNngj0YopcJXlN3Gc9cM5b0Vu60OJaRo4TCllAphzRUO08vOSikVhjS5K6VUGNLkrpRSYUiTu1JKhSFN7kopFYY0uSulVBjS5K6UUmFIk7tSSoUhTe5KKRWGgvIOVREpBXZZHUcjKUCZ1UH4QDi0IxzaANqOYBPK7ehujPlRKd2gTO7BRkTymrq9N9SEQzvCoQ2g7Qg24dKOxrRbRimlwpAmd6WUCkOa3N0zw+oAfCQc2hEObQBtR7AJl3acoH3uSikVhvTMXSmlwpAmd6WUCkOa3BsRkStFZIOIOEUkt9HyjiIyX0SOisjzJ22zQEQKRGS169Ep8JH/kIftGC4i60Rkq4j8WUQk8JH/UHPtcL33oCvWAhG5oNHykPk8XO81146g+zwaE5EhIrLUFeMnItLOtTxLRI41+vd/2epYm9NcG1zvNfm5hBRjjD5cD+A0oB+wAMhttDwBOAO4DXj+pG1+sG4wPDxsx3JgDCDAZ8CkIG5Hf2ANEAv0ALYB9hD8PE7VjqD7PE5q0wpgvOv5TcCjrudZwHqr4/OyDc1+LqH00DP3Rowxm4wxBU0srzTGLAaqLQir1VrbDhFJA9oZY5aaht/ut4BLAhLsKTTXDmAq8J4xpsYYswPYCowMbHTua207gvXzOEk/YKHr+Tzgcgtj8VRzbQip36/maHL3jdddX0H/O9i+PrupK7C30eu9rmXBqiuwp9Hrk+MNlc+juXaEwuexHrjY9fxKILPRez1E5HsR+UZExgU+NLc114aWfr9CQpTVAQSaiHwJdGnirYeMMR97sMvrjDH7RKQt8AEwjYYzLb/ycTuaSoABGSPrYTtOFW8ofR7NtcOyz6OxU7WJhm6MP4vI74BZQK3rvSKgmzHmgIgMB/4tIgOMMUcCEvRJPGxDUPz7eyvikrsx5jwf72+f62eFiLxDw9c3vycTH7djL5DR6HUGUOjD/TfLw3bs5YdniifiDbHPo7l2WPZ5NOZGm84HEJG+wIWubWqAGtfzlSKyDegL5Pkx1GZ50gZO8fsVSrRbxgsiEiUiKa7n0cAUGr7qhRRjTBFQISKjXd0Y1wOefIsJlFnANSISKyI9gD7A8hD8PJpsRyh8HsdHIYmIDfgt8LLrdaqI2F3Pe9LQpu1WxXkqzbWBZj4Xa6L0gtVXdIPpAVxKw1/tGmA/8Hmj93YCB4GjrnX60zD6ZCWwFtgAPEcQXFVvbTtcy3NpSITbgOdx3b0cxO14yBVrAa6RJCH6efyoHcH6eZzUpruBza7H48fjo+Gi5AYaRpusAi6yOtbWtuFUn0soPbT8gFJKhSHtllFKqTCkyV0ppcKQJnellApDmtyVUioMaXJXSqkwpMldKaXCkCZ3pZQKQ/8f93mBe6Ff50kAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mask_paises_en_mis_datos = datos_geopandas['iso_a3'].isin(latam.paises.MEX.df['alpha_3'])\n", "datos_geopandas[mask_paises_en_mis_datos].plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## IPUMS\n", "Ah, como amo IPUMS. IPUMS originalmente era un acrónimo de **Integrated Public Use Microdata Series** y era un proyecto de la universidad de Minesota que homologa datos del censo para **integrarlos** en un conjunto de datos facil de usar. Este proyecto se expandio a crear otras ramas como IPUMS-International (*internacional*, en inglés :p) el cual homologa datos censales de muchos paises y también ofrecen datos geográficos. Puedes visitar su página en ." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "from zipfile import ZipFile" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--2020-10-15 16:42:47-- https://international.ipums.org/international/resources/gis/world_geolev1_2019.zip\n", "Resolving international.ipums.org (international.ipums.org)... 128.101.163.164\n", "Connecting to international.ipums.org (international.ipums.org)|128.101.163.164|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 235596678 (225M) [application/zip]\n", "Saving to: ‘world_geolev1_2019.zip’\n", "\n", "world_geolev1_2019. 100%[===================>] 224.68M 6.80MB/s in 35s \n", "\n", "2020-10-15 16:43:23 (6.36 MB/s) - ‘world_geolev1_2019.zip’ saved [235596678/235596678]\n", "\n" ] } ], "source": [ "!wget https://international.ipums.org/international/resources/gis/world_geolev1_2019.zip" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "ZipFile(\"./world_geolev1_2019.zip\").extractall()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mundo = gpd.read_file(\"world_geolev1_2019.shp\")\n", "mundo.plot()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Aquí puedes ver con mas detalle que datos incluye. Cada fila de este geodataframe es una poligono para una _subdivisión_. La entidad subnacional del país. En México son _estados_ en otros países pueden conocerse como distritos, provincias, territorios, etc." ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CNTRY_NAMEADMIN_NAMECNTRY_CODEGEOLEVEL1BPL_CODEgeometry
1219PhilippinesNueva Ecija60860804933080.0POLYGON ((121.28172 15.77052, 121.28737 15.753...
289Cook Is.None184None54010.0MULTIPOLYGON (((-157.91502 -21.87544, -157.914...
742IrelandBorder37237200142060.0MULTIPOLYGON (((-6.09756 54.01247, -6.10008 54...
1778UgandaGulu80080030411160.0POLYGON ((32.19866 3.50607, 32.19864 3.50599, ...
112BrazilAlagoas07607602723030.0MULTIPOLYGON (((-36.42128 -10.47667, -36.42170...
\n", "
" ], "text/plain": [ " CNTRY_NAME ADMIN_NAME CNTRY_CODE GEOLEVEL1 BPL_CODE \\\n", "1219 Philippines Nueva Ecija 608 608049 33080.0 \n", "289 Cook Is. None 184 None 54010.0 \n", "742 Ireland Border 372 372001 42060.0 \n", "1778 Uganda Gulu 800 800304 11160.0 \n", "112 Brazil Alagoas 076 076027 23030.0 \n", "\n", " geometry \n", "1219 POLYGON ((121.28172 15.77052, 121.28737 15.753... \n", "289 MULTIPOLYGON (((-157.91502 -21.87544, -157.914... \n", "742 MULTIPOLYGON (((-6.09756 54.01247, -6.10008 54... \n", "1778 POLYGON ((32.19866 3.50607, 32.19864 3.50599, ... \n", "112 MULTIPOLYGON (((-36.42128 -10.47667, -36.42170... " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mundo.sample(5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Si ves la documentación el `CNTRY_CODE` es el código numérico de cada país (basado en ISO-3611-1) y el `GEOLEVEL1` es el ISO-3611-2. Así que podemos utilizar `latam` para obtener solo los polígonos de nuestro país." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CNTRY_NAMEADMIN_NAMECNTRY_CODEGEOLEVEL1BPL_CODEgeometry
924MexicoAguascalientes48448400122060.0POLYGON ((-102.28777 22.41637, -102.28753 22.4...
925MexicoBaja California48448400222060.0MULTIPOLYGON (((-114.13834 28.00211, -114.1383...
926MexicoBaja California Sur48448400322060.0MULTIPOLYGON (((-109.80419 22.94320, -109.8058...
927MexicoCampeche48448400422060.0MULTIPOLYGON (((-92.01303 18.54842, -92.01405 ...
928MexicoCoahuila de Zaragoza48448400522060.0POLYGON ((-102.31415 29.87936, -102.31353 29.8...
929MexicoColima48448400622060.0MULTIPOLYGON (((-114.76717 18.37683, -114.7638...
930MexicoChiapas48448400722060.0POLYGON ((-91.97364 17.91143, -91.96993 17.910...
931MexicoChihuahua48448400822060.0POLYGON ((-106.51767 31.77173, -106.51712 31.7...
932MexicoDistrito Federal48448400922060.0POLYGON ((-99.11124 19.56150, -99.11421 19.558...
933MexicoDurango48448401022060.0POLYGON ((-105.96732 26.78554, -105.93919 26.7...
934MexicoGuanajuato48448401122060.0POLYGON ((-101.35003 21.83796, -101.34216 21.8...
935MexicoGuerrero48448401222060.0MULTIPOLYGON (((-99.59839 16.69250, -99.59914 ...
936MexicoHidalgo48448401322060.0POLYGON ((-98.48311 21.39730, -98.48276 21.397...
937MexicoJalisco48448401422060.0MULTIPOLYGON (((-104.70081 19.17875, -104.7020...
938MexicoMéxico48448401522060.0POLYGON ((-99.91237 20.28563, -99.91180 20.285...
939MexicoMichoacán de Ocampo48448401622060.0MULTIPOLYGON (((-102.65334 18.05325, -102.6548...
940MexicoMorelos48448401722060.0POLYGON ((-99.06209 19.04872, -99.05980 19.048...
941MexicoNayarit48448401822060.0MULTIPOLYGON (((-105.27633 20.67199, -105.2767...
942MexicoNuevo León48448401922060.0POLYGON ((-100.00248 27.61896, -99.99884 27.61...
943MexicoOaxaca48448402022060.0MULTIPOLYGON (((-96.23689 15.66303, -96.24039 ...
944MexicoPuebla48448402122060.0POLYGON ((-97.84200 20.83978, -97.84169 20.839...
945MexicoQuerétaro48448402222060.0POLYGON ((-99.18811 21.66992, -99.18362 21.663...
946MexicoQuintana Roo48448402322060.0MULTIPOLYGON (((-87.87347 18.20982, -87.87228 ...
947MexicoSan Luis Potosí48448402422060.0POLYGON ((-100.60353 24.40130, -100.60061 24.3...
948MexicoSinaloa48448402522060.0MULTIPOLYGON (((-105.71964 22.48597, -105.7176...
949MexicoSonora48448402622060.0MULTIPOLYGON (((-109.12524 26.29701, -109.1255...
950MexicoTabasco48448402722060.0MULTIPOLYGON (((-91.43963 17.25097, -91.43970 ...
951MexicoTamaulipas48448402822060.0MULTIPOLYGON (((-97.86506 22.61797, -97.86606 ...
952MexicoTlaxcala48448402922060.0POLYGON ((-98.05499 19.72180, -98.05458 19.721...
953MexicoVeracruz de Ignacio de la Llave48448403022060.0MULTIPOLYGON (((-94.41850 18.11239, -94.41986 ...
954MexicoYucatán48448403122060.0MULTIPOLYGON (((-91.96430 20.20331, -91.96753 ...
955MexicoZacatecas48448403222060.0POLYGON ((-101.84536 25.00835, -101.84131 24.9...
\n", "
" ], "text/plain": [ " CNTRY_NAME ADMIN_NAME CNTRY_CODE GEOLEVEL1 \\\n", "924 Mexico Aguascalientes 484 484001 \n", "925 Mexico Baja California 484 484002 \n", "926 Mexico Baja California Sur 484 484003 \n", "927 Mexico Campeche 484 484004 \n", "928 Mexico Coahuila de Zaragoza 484 484005 \n", "929 Mexico Colima 484 484006 \n", "930 Mexico Chiapas 484 484007 \n", "931 Mexico Chihuahua 484 484008 \n", "932 Mexico Distrito Federal 484 484009 \n", "933 Mexico Durango 484 484010 \n", "934 Mexico Guanajuato 484 484011 \n", "935 Mexico Guerrero 484 484012 \n", "936 Mexico Hidalgo 484 484013 \n", "937 Mexico Jalisco 484 484014 \n", "938 Mexico México 484 484015 \n", "939 Mexico Michoacán de Ocampo 484 484016 \n", "940 Mexico Morelos 484 484017 \n", "941 Mexico Nayarit 484 484018 \n", "942 Mexico Nuevo León 484 484019 \n", "943 Mexico Oaxaca 484 484020 \n", "944 Mexico Puebla 484 484021 \n", "945 Mexico Querétaro 484 484022 \n", "946 Mexico Quintana Roo 484 484023 \n", "947 Mexico San Luis Potosí 484 484024 \n", "948 Mexico Sinaloa 484 484025 \n", "949 Mexico Sonora 484 484026 \n", "950 Mexico Tabasco 484 484027 \n", "951 Mexico Tamaulipas 484 484028 \n", "952 Mexico Tlaxcala 484 484029 \n", "953 Mexico Veracruz de Ignacio de la Llave 484 484030 \n", "954 Mexico Yucatán 484 484031 \n", "955 Mexico Zacatecas 484 484032 \n", "\n", " BPL_CODE geometry \n", "924 22060.0 POLYGON ((-102.28777 22.41637, -102.28753 22.4... \n", "925 22060.0 MULTIPOLYGON (((-114.13834 28.00211, -114.1383... \n", "926 22060.0 MULTIPOLYGON (((-109.80419 22.94320, -109.8058... \n", "927 22060.0 MULTIPOLYGON (((-92.01303 18.54842, -92.01405 ... \n", "928 22060.0 POLYGON ((-102.31415 29.87936, -102.31353 29.8... \n", "929 22060.0 MULTIPOLYGON (((-114.76717 18.37683, -114.7638... \n", "930 22060.0 POLYGON ((-91.97364 17.91143, -91.96993 17.910... \n", "931 22060.0 POLYGON ((-106.51767 31.77173, -106.51712 31.7... \n", "932 22060.0 POLYGON ((-99.11124 19.56150, -99.11421 19.558... \n", "933 22060.0 POLYGON ((-105.96732 26.78554, -105.93919 26.7... \n", "934 22060.0 POLYGON ((-101.35003 21.83796, -101.34216 21.8... \n", "935 22060.0 MULTIPOLYGON (((-99.59839 16.69250, -99.59914 ... \n", "936 22060.0 POLYGON ((-98.48311 21.39730, -98.48276 21.397... \n", "937 22060.0 MULTIPOLYGON (((-104.70081 19.17875, -104.7020... \n", "938 22060.0 POLYGON ((-99.91237 20.28563, -99.91180 20.285... \n", "939 22060.0 MULTIPOLYGON (((-102.65334 18.05325, -102.6548... \n", "940 22060.0 POLYGON ((-99.06209 19.04872, -99.05980 19.048... \n", "941 22060.0 MULTIPOLYGON (((-105.27633 20.67199, -105.2767... \n", "942 22060.0 POLYGON ((-100.00248 27.61896, -99.99884 27.61... \n", "943 22060.0 MULTIPOLYGON (((-96.23689 15.66303, -96.24039 ... \n", "944 22060.0 POLYGON ((-97.84200 20.83978, -97.84169 20.839... \n", "945 22060.0 POLYGON ((-99.18811 21.66992, -99.18362 21.663... \n", "946 22060.0 MULTIPOLYGON (((-87.87347 18.20982, -87.87228 ... \n", "947 22060.0 POLYGON ((-100.60353 24.40130, -100.60061 24.3... \n", "948 22060.0 MULTIPOLYGON (((-105.71964 22.48597, -105.7176... \n", "949 22060.0 MULTIPOLYGON (((-109.12524 26.29701, -109.1255... \n", "950 22060.0 MULTIPOLYGON (((-91.43963 17.25097, -91.43970 ... \n", "951 22060.0 MULTIPOLYGON (((-97.86506 22.61797, -97.86606 ... \n", "952 22060.0 POLYGON ((-98.05499 19.72180, -98.05458 19.721... \n", "953 22060.0 MULTIPOLYGON (((-94.41850 18.11239, -94.41986 ... \n", "954 22060.0 MULTIPOLYGON (((-91.96430 20.20331, -91.96753 ... \n", "955 22060.0 POLYGON ((-101.84536 25.00835, -101.84131 24.9... " ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mask_mexico = mundo['CNTRY_CODE'].isin(latam.paises.MEX.df['codigo'])\n", "mundo[mask_mexico]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Y como pueden ver el `GEOLEVEL1` es una combinación de 6 dígitos. Los primeros 3 son el código del país y los últimos 3 son de la subdivisión. Se tienen que ser 6 caracteres así que si el código de tu subdivisión es 1 tienes que cambiarlo a 001." ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [], "source": [ "estados_mx = latam.paises.MEX.subdivisiones_df.copy()" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "estados_mx['codigo_numerico'] = estados_mx['codigo_numerico'].astype(str).str.zfill(3)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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abrevcapitalcapital_horariocapital_latcapital_longalpha_2codigo_numericoes_contiguaes_islafecha_de_fundacionhuso_horarionombrenombre_comunnombre_pronunciacion_localnombres_nativos
0AGSCiudad de AguascalientesAmerica/Mexico_City21.88-102.29AGU001TrueFalse1857-02-05America/Mexico_CityAguascalientesAguascalientesa.ɣ̞was.ka'.ljen̟.tes
1BCMexicaliAmerica/Tijuana32.67-115.47BCN002TrueFalse1952-01-16America/TijuanaBaja CaliforniaBaja California'ba.xa. ka.li'.for.nja
2BCSLa PazAmerica/Hermosillo24.14-110.31BCS003TrueFalse1974-10-08America/HermosilloBaja California SurBaja California Sur'ba.xa. ka.li'.for.nja 'sur
3CAMSan Francisco de CampecheAmerica/Mexico_City19.85-90.53CAM004TrueFalse1863-04-29America/Mexico_CityCampecheCampechekam'pe.tʃe
4CHISTuxtla GutiérrezAmerica/Mexico_City16.75-93.12CHP007TrueFalse1824-09-14America/Mexico_CityChiapasChiapastʃjap'.as
\n", "
" ], "text/plain": [ " abrev capital capital_horario capital_lat \\\n", "0 AGS Ciudad de Aguascalientes America/Mexico_City 21.88 \n", "1 BC Mexicali America/Tijuana 32.67 \n", "2 BCS La Paz America/Hermosillo 24.14 \n", "3 CAM San Francisco de Campeche America/Mexico_City 19.85 \n", "4 CHIS Tuxtla Gutiérrez America/Mexico_City 16.75 \n", "\n", " capital_long alpha_2 codigo_numerico es_contigua es_isla \\\n", "0 -102.29 AGU 001 True False \n", "1 -115.47 BCN 002 True False \n", "2 -110.31 BCS 003 True False \n", "3 -90.53 CAM 004 True False \n", "4 -93.12 CHP 007 True False \n", "\n", " fecha_de_fundacion huso_horario nombre \\\n", "0 1857-02-05 America/Mexico_City Aguascalientes \n", "1 1952-01-16 America/Tijuana Baja California \n", "2 1974-10-08 America/Hermosillo Baja California Sur \n", "3 1863-04-29 America/Mexico_City Campeche \n", "4 1824-09-14 America/Mexico_City Chiapas \n", "\n", " nombre_comun nombre_pronunciacion_local nombres_nativos \n", "0 Aguascalientes a.ɣ̞was.ka'.ljen̟.tes \n", "1 Baja California 'ba.xa. ka.li'.for.nja \n", "2 Baja California Sur 'ba.xa. ka.li'.for.nja 'sur \n", "3 Campeche kam'pe.tʃe \n", "4 Chiapas tʃjap'.as " ] }, "execution_count": 55, "metadata": {}, "output_type": "execute_result" } ], "source": [ "estados_mx.head()" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [], "source": [ "estados_mx['GEOLEVEL1'] = \"484\" + estados_mx['codigo_numerico']" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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abrevcapitalcapital_horariocapital_latcapital_longalpha_2codigo_numericoes_contiguaes_islafecha_de_fundacionhuso_horarionombrenombre_comunnombre_pronunciacion_localnombres_nativosGEOLEVEL1
0AGSCiudad de AguascalientesAmerica/Mexico_City21.88-102.29AGU001TrueFalse1857-02-05America/Mexico_CityAguascalientesAguascalientesa.ɣ̞was.ka'.ljen̟.tes484001
1BCMexicaliAmerica/Tijuana32.67-115.47BCN002TrueFalse1952-01-16America/TijuanaBaja CaliforniaBaja California'ba.xa. ka.li'.for.nja484002
2BCSLa PazAmerica/Hermosillo24.14-110.31BCS003TrueFalse1974-10-08America/HermosilloBaja California SurBaja California Sur'ba.xa. ka.li'.for.nja 'sur484003
3CAMSan Francisco de CampecheAmerica/Mexico_City19.85-90.53CAM004TrueFalse1863-04-29America/Mexico_CityCampecheCampechekam'pe.tʃe484004
4CHISTuxtla GutiérrezAmerica/Mexico_City16.75-93.12CHP007TrueFalse1824-09-14America/Mexico_CityChiapasChiapastʃjap'.as484007
\n", "
" ], "text/plain": [ " abrev capital capital_horario capital_lat \\\n", "0 AGS Ciudad de Aguascalientes America/Mexico_City 21.88 \n", "1 BC Mexicali America/Tijuana 32.67 \n", "2 BCS La Paz America/Hermosillo 24.14 \n", "3 CAM San Francisco de Campeche America/Mexico_City 19.85 \n", "4 CHIS Tuxtla Gutiérrez America/Mexico_City 16.75 \n", "\n", " capital_long alpha_2 codigo_numerico es_contigua es_isla \\\n", "0 -102.29 AGU 001 True False \n", "1 -115.47 BCN 002 True False \n", "2 -110.31 BCS 003 True False \n", "3 -90.53 CAM 004 True False \n", "4 -93.12 CHP 007 True False \n", "\n", " fecha_de_fundacion huso_horario nombre \\\n", "0 1857-02-05 America/Mexico_City Aguascalientes \n", "1 1952-01-16 America/Tijuana Baja California \n", "2 1974-10-08 America/Hermosillo Baja California Sur \n", "3 1863-04-29 America/Mexico_City Campeche \n", "4 1824-09-14 America/Mexico_City Chiapas \n", "\n", " nombre_comun nombre_pronunciacion_local nombres_nativos GEOLEVEL1 \n", "0 Aguascalientes a.ɣ̞was.ka'.ljen̟.tes 484001 \n", "1 Baja California 'ba.xa. ka.li'.for.nja 484002 \n", "2 Baja California Sur 'ba.xa. ka.li'.for.nja 'sur 484003 \n", "3 Campeche kam'pe.tʃe 484004 \n", "4 Chiapas tʃjap'.as 484007 " ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "estados_mx.head()" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [], "source": [ "mexico_geo = mundo[mask_mexico]" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "estados_mx_geo = gpd.GeoDataFrame(estados_mx.merge(mexico_geo[['GEOLEVEL1', 'geometry']], on = \"GEOLEVEL1\", how='left'))\n", "estados_mx_geo.plot();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Bonus:" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [], "source": [ "import altair as alt" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [], "source": [ "estados_mx_geo_slim = estados_mx_geo[['nombre', 'fecha_de_fundacion', 'geometry']].copy()\n", "estados_mx_geo_slim['fecha_de_fundacion'] = estados_mx_geo_slim['fecha_de_fundacion'].astype(str)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", "" ], "text/plain": [ "alt.Chart(...)" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" } ], "source": [ "alt.Chart(estados_mx_geo_slim).mark_geoshape().encode(\n", " tooltip = alt.Tooltip(['nombre', 'fecha_de_fundacion'])\n", ").properties(\n", " width = 700,\n", ")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6" } }, "nbformat": 4, "nbformat_minor": 4 }