diff --git a/your-code/Proyecto_WebScrapping_APIs.ipynb b/your-code/Proyecto_WebScrapping_APIs.ipynb
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+++ b/your-code/Proyecto_WebScrapping_APIs.ipynb
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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "20d32fff",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import requests\n",
+ "from bs4 import BeautifulSoup\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "from lxml import html\n",
+ "from lxml.html import fromstring\n",
+ "import random\n",
+ "import re\n",
+ "import csv"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "681843a0",
+ "metadata": {},
+ "source": [
+ "# Proyecto Web Scrapping & API´s"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "94fc04f5",
+ "metadata": {},
+ "source": [
+ "## Rankig ATP"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f9eb366c",
+ "metadata": {},
+ "source": [
+ "### Lo que haremos será obtener el ranking de los 50 mejores tenistas masculinos.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "767663fa",
+ "metadata": {},
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "d82786be",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "url = 'https://www.marca.com/tenis/clasificacion-atp.html'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "7a089c92",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "html = requests.get(url).content\n",
+ "soup = BeautifulSoup(html, 'lxml')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "ce3def68",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "sopa = soup.select('span.ue-table-ranking__name')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "da1bc580",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['Novak Djokovic',\n",
+ " 'Daniil Medvedev',\n",
+ " 'Alexander Zverev',\n",
+ " 'Stefanos Tsitsipas',\n",
+ " 'Rafael Nadal',\n",
+ " 'Andrey Rublev',\n",
+ " 'Matteo Berrettini',\n",
+ " 'Casper Ruud',\n",
+ " 'Felix Auger Aliassime',\n",
+ " 'Jannik Sinner',\n",
+ " 'Hubert Hurkacz',\n",
+ " 'Cameron Norrie',\n",
+ " 'Diego Sebastian Schwartzman',\n",
+ " 'Denis Shapovalov',\n",
+ " 'Aslan Karatsev',\n",
+ " 'Dominic Thiem',\n",
+ " 'Roger Federer',\n",
+ " 'Roberto Bautista Agut',\n",
+ " 'Cristian Garin',\n",
+ " 'Gael Monfils',\n",
+ " 'Pablo Carreño-Busta',\n",
+ " 'Taylor Harry Fritz',\n",
+ " 'Nikoloz Basilashvili',\n",
+ " 'Daniel Evans',\n",
+ " 'John Isner',\n",
+ " 'Lorenzo Sonego',\n",
+ " 'Marin Cilic',\n",
+ " 'Grigor Dimitrov',\n",
+ " 'Reilly Opelka',\n",
+ " 'Karen Khachanov',\n",
+ " 'Carlos Alcaraz',\n",
+ " 'Fabio Fognini',\n",
+ " 'Lloyd George Muirhead Harris',\n",
+ " 'Frances Tiafoe',\n",
+ " 'Marton Fucsovics',\n",
+ " 'Filip Krajinovic',\n",
+ " 'Alexander Bublik',\n",
+ " 'Federico Delbonis',\n",
+ " 'Dusan Lajovic',\n",
+ " 'Ugo Humbert',\n",
+ " 'Tommy Paul',\n",
+ " 'Álex de Miñaur',\n",
+ " 'Sebastian Korda',\n",
+ " 'Albert Ramos Viñolas',\n",
+ " 'David Goffin',\n",
+ " 'Kei Nishikori',\n",
+ " 'Ilya Ivashka',\n",
+ " 'Arthur Rinderknech',\n",
+ " 'James Duckworth',\n",
+ " 'Alejandro Davidovich Fokina',\n",
+ " 'Laslo Djere',\n",
+ " 'Jan-Lennard Struff',\n",
+ " 'Dominik Koepfer',\n",
+ " 'Soon Woo Kwon',\n",
+ " 'Mackenzie McDonald',\n",
+ " 'Benoit Paire',\n",
+ " 'Botic Van de Zandschulp',\n",
+ " 'Jenson Brooksby',\n",
+ " 'Alexei Popyrin',\n",
+ " 'Lorenzo Musetti',\n",
+ " 'Pedro Martínez Portero',\n",
+ " 'Tallon Griekspoor',\n",
+ " 'Benjamin Bonzi',\n",
+ " 'Federico Coria',\n",
+ " 'Gianluca Mager',\n",
+ " 'Marcos Giron',\n",
+ " 'Hugo Gaston',\n",
+ " 'Brandon Nakashima',\n",
+ " 'Adrian Mannarino',\n",
+ " 'Maxime Cressy',\n",
+ " 'Jaume Munar',\n",
+ " 'Facundo Bagnis',\n",
+ " 'Jordan Thompson',\n",
+ " 'Alex Molcan',\n",
+ " 'Roberto Carballes Baena',\n",
+ " 'Guido Pella',\n",
+ " 'Miomir Kecmanovic',\n",
+ " 'Jiri Vesely',\n",
+ " 'Thiago Monteiro',\n",
+ " 'Juan Manuel Cerundolo',\n",
+ " 'Richard Gasquet',\n",
+ " 'Peter Gojowczyk',\n",
+ " 'Pablo Andújar',\n",
+ " 'Borna Coric',\n",
+ " 'Milos Raonic',\n",
+ " 'Mikael Ymer',\n",
+ " 'Daniel Altmaier',\n",
+ " 'Sebastian Baez',\n",
+ " 'John Millman',\n",
+ " 'Emil Ruusuvuori',\n",
+ " 'Henri Laaksonen',\n",
+ " 'Pablo Cuevas',\n",
+ " 'Ricardas Berankis',\n",
+ " 'Tennys Sandgren',\n",
+ " 'Marco Cecchinato',\n",
+ " 'Oscar Otte',\n",
+ " 'Kevin Anderson',\n",
+ " 'Stefano Travaglia',\n",
+ " 'Holger Rune',\n",
+ " 'Corentin Moutet']"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Nombres = [element.text for element in sopa]\n",
+ "Nombres"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "19cd7f65",
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+ "outputs": [
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+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sopa_puntos = soup.select('td.ue-table-ranking__td.is-marked')\n",
+ "sopa_puntos"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "a88c71b1",
+ "metadata": {},
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+ ]
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+ "execution_count": 7,
+ "metadata": {},
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+ ],
+ "source": [
+ "Puntos = [element.text for element in paso2]\n",
+ "Puntos"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "2c6dc1cb",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
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+ " Names Points\n",
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+ "metadata": {},
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+ "Ranking = pd.DataFrame(zip(Nombres, Puntos), columns=['Names', 'Points'])\n",
+ "Ranking"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
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\n",
+ " \n",
+ " | 49 | \n",
+ " Alejandro Davidovich Fokina | \n",
+ " 1160 | \n",
+ "
\n",
+ " \n",
+ " | 50 | \n",
+ " Laslo Djere | \n",
+ " 1156 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Names Points\n",
+ "0 Novak Djokovic 11015\n",
+ "1 Daniil Medvedev 8935\n",
+ "2 Alexander Zverev 7970\n",
+ "3 Stefanos Tsitsipas 6540\n",
+ "4 Rafael Nadal 4875\n",
+ "5 Andrey Rublev 4785\n",
+ "6 Matteo Berrettini 4568\n",
+ "7 Casper Ruud 4155\n",
+ "8 Felix Auger Aliassime 3608\n",
+ "9 Jannik Sinner 3390\n",
+ "10 Hubert Hurkacz 3336\n",
+ "11 Cameron Norrie 2900\n",
+ "12 Diego Sebastian Schwartzman 2730\n",
+ "13 Denis Shapovalov 2593\n",
+ "14 Aslan Karatsev 2553\n",
+ "15 Dominic Thiem 2410\n",
+ "16 Roger Federer 2385\n",
+ "17 Roberto Bautista Agut 2385\n",
+ "18 Cristian Garin 2375\n",
+ "19 Gael Monfils 2373\n",
+ "20 Pablo Carreño-Busta 2305\n",
+ "21 Taylor Harry Fritz 2175\n",
+ "22 Nikoloz Basilashvili 2051\n",
+ "23 Daniel Evans 1957\n",
+ "24 John Isner 1881\n",
+ "25 Lorenzo Sonego 1860\n",
+ "26 Marin Cilic 1840\n",
+ "27 Grigor Dimitrov 1821\n",
+ "28 Reilly Opelka 1776\n",
+ "29 Karen Khachanov 1748\n",
+ "30 Carlos Alcaraz 1609\n",
+ "31 Fabio Fognini 1494\n",
+ "32 Lloyd George Muirhead Harris 1473\n",
+ "33 Frances Tiafoe 1467\n",
+ "34 Marton Fucsovics 1457\n",
+ "35 Filip Krajinovic 1427\n",
+ "36 Alexander Bublik 1411\n",
+ "37 Federico Delbonis 1347\n",
+ "38 Dusan Lajovic 1346\n",
+ "39 Ugo Humbert 1318\n",
+ "40 Tommy Paul 1317\n",
+ "41 Álex de Miñaur 1316\n",
+ "42 Sebastian Korda 1286\n",
+ "43 Albert Ramos Viñolas 1259\n",
+ "44 David Goffin 1216\n",
+ "45 Kei Nishikori 1210\n",
+ "46 Ilya Ivashka 1194\n",
+ "47 Arthur Rinderknech 1178\n",
+ "48 James Duckworth 1166\n",
+ "49 Alejandro Davidovich Fokina 1160\n",
+ "50 Laslo Djere 1156"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Ranking.head(51)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "id": "9aae7eb7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "Ranking.head(51).to_csv('Ranking.csv')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7dc4548e",
+ "metadata": {
+ "scrolled": true
+ },
+ "source": [
+ "## Rankig WTA"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "85d5372a",
+ "metadata": {},
+ "source": [
+ "### Lo que haremos será obtener el ranking de las 50 mejores tenistas femininas.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "e349d333",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "url = 'https://www.marca.com/tenis/clasificacion-wta.html'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "c8dc223d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "html = requests.get(url).content\n",
+ "soup = BeautifulSoup(html, 'lxml')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "2e3b0890",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[Ashleigh Barty,\n",
+ " Aryna Sabalenka,\n",
+ " Barbora Krejcikova,\n",
+ " Karolina Pliskova,\n",
+ " Paula Badosa Gibert,\n",
+ " Garbiñe Muguruza Blanco,\n",
+ " Maria Sakkari,\n",
+ " Anett Kontaveit,\n",
+ " Iga Swiatek,\n",
+ " Ons Jabeur,\n",
+ " Elena Rybakina,\n",
+ " Emma Raducanu,\n",
+ " Anastasia Pavlyuchenkova,\n",
+ " Elina Svitolina,\n",
+ " Cori Gauff,\n",
+ " Belinda Bencic,\n",
+ " Daria Kasatkina,\n",
+ " Angelique Kerber,\n",
+ " Leylah Annie Fernandez,\n",
+ " Victoria Azarenka,\n",
+ " Jessica Pegula,\n",
+ " Petra Kvitova,\n",
+ " Jelena Ostapenko,\n",
+ " Tamara Zidansek,\n",
+ " Simona Halep,\n",
+ " Elise Mertens,\n",
+ " Danielle Collins,\n",
+ " Jil Belen Teichmann,\n",
+ " Veronika Kudermetova,\n",
+ " Camila Giorgi,\n",
+ " Sara Sorribes Tormo,\n",
+ " Ludmila Samsonova,\n",
+ " Viktorija Golubic,\n",
+ " Clara Tauson,\n",
+ " Sorana Cirstea,\n",
+ " Shelby Rogers,\n",
+ " Ajla Tomljanovic,\n",
+ " Bianca Andreescu,\n",
+ " Yulia Putintseva,\n",
+ " Tereza Martincova,\n",
+ " Ekaterina Alexandrova,\n",
+ " Katerina Siniakova,\n",
+ " Marketa Vondrousova,\n",
+ " Anhelina Kalinina,\n",
+ " Jasmine Paolini,\n",
+ " Maria Camila Osorio Serrano,\n",
+ " Alison Van Uytvanck,\n",
+ " Magda Linette,\n",
+ " Amanda Anisimova,\n",
+ " Alison Riske,\n",
+ " Nuria Parrizas Diaz,\n",
+ " Marta Kostyuk,\n",
+ " Ana Konjuh,\n",
+ " Petra Martic,\n",
+ " Madison Keys,\n",
+ " Irina-Camelia Begu,\n",
+ " Sloane Stephens,\n",
+ " Madison Brengle,\n",
+ " Ann Li,\n",
+ " Elena-Gabriela Ruse,\n",
+ " Alize Cornet,\n",
+ " Arantxa Rus,\n",
+ " Anastasija Sevastova,\n",
+ " Karolina Muchova,\n",
+ " Jaqueline Cristian,\n",
+ " Andrea Petkovic,\n",
+ " Mayar Sherif,\n",
+ " Maryna Zanevska,\n",
+ " Caroline Garcia,\n",
+ " Misaki Doi,\n",
+ " Aliaksandra Sasnovich,\n",
+ " Anastasia Potapova,\n",
+ " Clara Burel,\n",
+ " Marie Bouzkova,\n",
+ " Beatriz Haddad Maia,\n",
+ " Rebecca Peterson,\n",
+ " Varvara Gracheva,\n",
+ " Vera Zvonareva,\n",
+ " Oceane Dodin,\n",
+ " Anna Bondar,\n",
+ " Shuai Zhang,\n",
+ " Claire Liu,\n",
+ " Danka Kovinic,\n",
+ " Saisai Zheng,\n",
+ " Astra Sharma,\n",
+ " Panna Udvardy,\n",
+ " Kristina Kucova,\n",
+ " Lauren Davis,\n",
+ " Qinwen Zheng,\n",
+ " Sofia Kenin,\n",
+ " Anna Karolina Schmiedlova,\n",
+ " Greet Minnen,\n",
+ " Naomi Osaka,\n",
+ " Xinyu Wang,\n",
+ " Heather Watson,\n",
+ " Kristina Mladenovic,\n",
+ " Magdalena Frech,\n",
+ " Bernarda Pera,\n",
+ " Martina Trevisan,\n",
+ " Kaja Juvan]"
+ ]
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sopa = soup.select('span.ue-table-ranking__name')\n",
+ "sopa"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "2c7e3428",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['Ashleigh Barty',\n",
+ " 'Aryna Sabalenka',\n",
+ " 'Barbora Krejcikova',\n",
+ " 'Karolina Pliskova',\n",
+ " 'Paula Badosa Gibert',\n",
+ " 'Garbiñe Muguruza Blanco',\n",
+ " 'Maria Sakkari',\n",
+ " 'Anett Kontaveit',\n",
+ " 'Iga Swiatek',\n",
+ " 'Ons Jabeur',\n",
+ " 'Elena Rybakina',\n",
+ " 'Emma Raducanu',\n",
+ " 'Anastasia Pavlyuchenkova',\n",
+ " 'Elina Svitolina',\n",
+ " 'Cori Gauff',\n",
+ " 'Belinda Bencic',\n",
+ " 'Daria Kasatkina',\n",
+ " 'Angelique Kerber',\n",
+ " 'Leylah Annie Fernandez',\n",
+ " 'Victoria Azarenka',\n",
+ " 'Jessica Pegula',\n",
+ " 'Petra Kvitova',\n",
+ " 'Jelena Ostapenko',\n",
+ " 'Tamara Zidansek',\n",
+ " 'Simona Halep',\n",
+ " 'Elise Mertens',\n",
+ " 'Danielle Collins',\n",
+ " 'Jil Belen Teichmann',\n",
+ " 'Veronika Kudermetova',\n",
+ " 'Camila Giorgi',\n",
+ " 'Sara Sorribes Tormo',\n",
+ " 'Ludmila Samsonova',\n",
+ " 'Viktorija Golubic',\n",
+ " 'Clara Tauson',\n",
+ " 'Sorana Cirstea',\n",
+ " 'Shelby Rogers',\n",
+ " 'Ajla Tomljanovic',\n",
+ " 'Bianca Andreescu',\n",
+ " 'Yulia Putintseva',\n",
+ " 'Tereza Martincova',\n",
+ " 'Ekaterina Alexandrova',\n",
+ " 'Katerina Siniakova',\n",
+ " 'Marketa Vondrousova',\n",
+ " 'Anhelina Kalinina',\n",
+ " 'Jasmine Paolini',\n",
+ " 'Maria Camila Osorio Serrano',\n",
+ " 'Alison Van Uytvanck',\n",
+ " 'Magda Linette',\n",
+ " 'Amanda Anisimova',\n",
+ " 'Alison Riske',\n",
+ " 'Nuria Parrizas Diaz',\n",
+ " 'Marta Kostyuk',\n",
+ " 'Ana Konjuh',\n",
+ " 'Petra Martic',\n",
+ " 'Madison Keys',\n",
+ " 'Irina-Camelia Begu',\n",
+ " 'Sloane Stephens',\n",
+ " 'Madison Brengle',\n",
+ " 'Ann Li',\n",
+ " 'Elena-Gabriela Ruse',\n",
+ " 'Alize Cornet',\n",
+ " 'Arantxa Rus',\n",
+ " 'Anastasija Sevastova',\n",
+ " 'Karolina Muchova',\n",
+ " 'Jaqueline Cristian',\n",
+ " 'Andrea Petkovic',\n",
+ " 'Mayar Sherif',\n",
+ " 'Maryna Zanevska',\n",
+ " 'Caroline Garcia',\n",
+ " 'Misaki Doi',\n",
+ " 'Aliaksandra Sasnovich',\n",
+ " 'Anastasia Potapova',\n",
+ " 'Clara Burel',\n",
+ " 'Marie Bouzkova',\n",
+ " 'Beatriz Haddad Maia',\n",
+ " 'Rebecca Peterson',\n",
+ " 'Varvara Gracheva',\n",
+ " 'Vera Zvonareva',\n",
+ " 'Oceane Dodin',\n",
+ " 'Anna Bondar',\n",
+ " 'Shuai Zhang',\n",
+ " 'Claire Liu',\n",
+ " 'Danka Kovinic',\n",
+ " 'Saisai Zheng',\n",
+ " 'Astra Sharma',\n",
+ " 'Panna Udvardy',\n",
+ " 'Kristina Kucova',\n",
+ " 'Lauren Davis',\n",
+ " 'Qinwen Zheng',\n",
+ " 'Sofia Kenin',\n",
+ " 'Anna Karolina Schmiedlova',\n",
+ " 'Greet Minnen',\n",
+ " 'Naomi Osaka',\n",
+ " 'Xinyu Wang',\n",
+ " 'Heather Watson',\n",
+ " 'Kristina Mladenovic',\n",
+ " 'Magdalena Frech',\n",
+ " 'Bernarda Pera',\n",
+ " 'Martina Trevisan',\n",
+ " 'Kaja Juvan']"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Nombres = [element.text for element in sopa]\n",
+ "Nombres"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "2750f1ce",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
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+ " 698 | ]"
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sopa2 = soup.select('td.ue-table-ranking__td.is-marked')\n",
+ "sopa2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "306e92a9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
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+ " '698']"
+ ]
+ },
+ "execution_count": 38,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Points = [element.text for element in sopa2]\n",
+ "Points"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "id": "ee0b7234",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Names | \n",
+ " Points | \n",
+ "
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+ " \n",
+ " \n",
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+ " | 0 | \n",
+ " Ashleigh Barty | \n",
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+ " Names Points\n",
+ "0 Ashleigh Barty 6341\n",
+ "1 Aryna Sabalenka 5468\n",
+ "2 Barbora Krejcikova 5173\n",
+ "3 Karolina Pliskova 4452\n",
+ "4 Paula Badosa Gibert 4199\n",
+ ".. ... ...\n",
+ "95 Kristina Mladenovic 740\n",
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+ ]
+ },
+ "execution_count": 39,
+ "metadata": {},
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+ "source": [
+ "Ranking_WTA = pd.DataFrame(zip(Nombres, Points), columns=['Names', 'Points'])\n",
+ "Ranking_WTA"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
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+ " Iga Swiatek | \n",
+ " 3686 | \n",
+ "
\n",
+ " \n",
+ " | 9 | \n",
+ " Ons Jabeur | \n",
+ " 3125 | \n",
+ "
\n",
+ " \n",
+ " | 10 | \n",
+ " Elena Rybakina | \n",
+ " 2645 | \n",
+ "
\n",
+ " \n",
+ " | 11 | \n",
+ " Emma Raducanu | \n",
+ " 2604 | \n",
+ "
\n",
+ " \n",
+ " | 12 | \n",
+ " Anastasia Pavlyuchenkova | \n",
+ " 2548 | \n",
+ "
\n",
+ " \n",
+ " | 13 | \n",
+ " Elina Svitolina | \n",
+ " 2471 | \n",
+ "
\n",
+ " \n",
+ " | 14 | \n",
+ " Cori Gauff | \n",
+ " 2425 | \n",
+ "
\n",
+ " \n",
+ " | 15 | \n",
+ " Belinda Bencic | \n",
+ " 2355 | \n",
+ "
\n",
+ " \n",
+ " | 16 | \n",
+ " Daria Kasatkina | \n",
+ " 2330 | \n",
+ "
\n",
+ " \n",
+ " | 17 | \n",
+ " Angelique Kerber | \n",
+ " 2287 | \n",
+ "
\n",
+ " \n",
+ " | 18 | \n",
+ " Leylah Annie Fernandez | \n",
+ " 2249 | \n",
+ "
\n",
+ " \n",
+ " | 19 | \n",
+ " Victoria Azarenka | \n",
+ " 2226 | \n",
+ "
\n",
+ " \n",
+ " | 20 | \n",
+ " Jessica Pegula | \n",
+ " 2114 | \n",
+ "
\n",
+ " \n",
+ " | 21 | \n",
+ " Petra Kvitova | \n",
+ " 2110 | \n",
+ "
\n",
+ " \n",
+ " | 22 | \n",
+ " Jelena Ostapenko | \n",
+ " 2035 | \n",
+ "
\n",
+ " \n",
+ " | 23 | \n",
+ " Tamara Zidansek | \n",
+ " 1890 | \n",
+ "
\n",
+ " \n",
+ " | 24 | \n",
+ " Simona Halep | \n",
+ " 1887 | \n",
+ "
\n",
+ " \n",
+ " | 25 | \n",
+ " Elise Mertens | \n",
+ " 1861 | \n",
+ "
\n",
+ " \n",
+ " | 26 | \n",
+ " Danielle Collins | \n",
+ " 1851 | \n",
+ "
\n",
+ " \n",
+ " | 27 | \n",
+ " Jil Belen Teichmann | \n",
+ " 1645 | \n",
+ "
\n",
+ " \n",
+ " | 28 | \n",
+ " Veronika Kudermetova | \n",
+ " 1635 | \n",
+ "
\n",
+ " \n",
+ " | 29 | \n",
+ " Camila Giorgi | \n",
+ " 1632 | \n",
+ "
\n",
+ " \n",
+ " | 30 | \n",
+ " Sara Sorribes Tormo | \n",
+ " 1588 | \n",
+ "
\n",
+ " \n",
+ " | 31 | \n",
+ " Ludmila Samsonova | \n",
+ " 1477 | \n",
+ "
\n",
+ " \n",
+ " | 32 | \n",
+ " Viktorija Golubic | \n",
+ " 1442 | \n",
+ "
\n",
+ " \n",
+ " | 33 | \n",
+ " Clara Tauson | \n",
+ " 1419 | \n",
+ "
\n",
+ " \n",
+ " | 34 | \n",
+ " Sorana Cirstea | \n",
+ " 1382 | \n",
+ "
\n",
+ " \n",
+ " | 35 | \n",
+ " Shelby Rogers | \n",
+ " 1353 | \n",
+ "
\n",
+ " \n",
+ " | 36 | \n",
+ " Ajla Tomljanovic | \n",
+ " 1335 | \n",
+ "
\n",
+ " \n",
+ " | 37 | \n",
+ " Bianca Andreescu | \n",
+ " 1308 | \n",
+ "
\n",
+ " \n",
+ " | 38 | \n",
+ " Yulia Putintseva | \n",
+ " 1280 | \n",
+ "
\n",
+ " \n",
+ " | 39 | \n",
+ " Tereza Martincova | \n",
+ " 1248 | \n",
+ "
\n",
+ " \n",
+ " | 40 | \n",
+ " Ekaterina Alexandrova | \n",
+ " 1236 | \n",
+ "
\n",
+ " \n",
+ " | 41 | \n",
+ " Katerina Siniakova | \n",
+ " 1220 | \n",
+ "
\n",
+ " \n",
+ " | 42 | \n",
+ " Marketa Vondrousova | \n",
+ " 1217 | \n",
+ "
\n",
+ " \n",
+ " | 43 | \n",
+ " Anhelina Kalinina | \n",
+ " 1168 | \n",
+ "
\n",
+ " \n",
+ " | 44 | \n",
+ " Jasmine Paolini | \n",
+ " 1153 | \n",
+ "
\n",
+ " \n",
+ " | 45 | \n",
+ " Maria Camila Osorio Serrano | \n",
+ " 1147 | \n",
+ "
\n",
+ " \n",
+ " | 46 | \n",
+ " Alison Van Uytvanck | \n",
+ " 1143 | \n",
+ "
\n",
+ " \n",
+ " | 47 | \n",
+ " Magda Linette | \n",
+ " 1142 | \n",
+ "
\n",
+ " \n",
+ " | 48 | \n",
+ " Amanda Anisimova | \n",
+ " 1120 | \n",
+ "
\n",
+ " \n",
+ " | 49 | \n",
+ " Alison Riske | \n",
+ " 1101 | \n",
+ "
\n",
+ " \n",
+ " | 50 | \n",
+ " Nuria Parrizas Diaz | \n",
+ " 1083 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Names Points\n",
+ "0 Ashleigh Barty 6341\n",
+ "1 Aryna Sabalenka 5468\n",
+ "2 Barbora Krejcikova 5173\n",
+ "3 Karolina Pliskova 4452\n",
+ "4 Paula Badosa Gibert 4199\n",
+ "5 Garbiñe Muguruza Blanco 4136\n",
+ "6 Maria Sakkari 3901\n",
+ "7 Anett Kontaveit 3811\n",
+ "8 Iga Swiatek 3686\n",
+ "9 Ons Jabeur 3125\n",
+ "10 Elena Rybakina 2645\n",
+ "11 Emma Raducanu 2604\n",
+ "12 Anastasia Pavlyuchenkova 2548\n",
+ "13 Elina Svitolina 2471\n",
+ "14 Cori Gauff 2425\n",
+ "15 Belinda Bencic 2355\n",
+ "16 Daria Kasatkina 2330\n",
+ "17 Angelique Kerber 2287\n",
+ "18 Leylah Annie Fernandez 2249\n",
+ "19 Victoria Azarenka 2226\n",
+ "20 Jessica Pegula 2114\n",
+ "21 Petra Kvitova 2110\n",
+ "22 Jelena Ostapenko 2035\n",
+ "23 Tamara Zidansek 1890\n",
+ "24 Simona Halep 1887\n",
+ "25 Elise Mertens 1861\n",
+ "26 Danielle Collins 1851\n",
+ "27 Jil Belen Teichmann 1645\n",
+ "28 Veronika Kudermetova 1635\n",
+ "29 Camila Giorgi 1632\n",
+ "30 Sara Sorribes Tormo 1588\n",
+ "31 Ludmila Samsonova 1477\n",
+ "32 Viktorija Golubic 1442\n",
+ "33 Clara Tauson 1419\n",
+ "34 Sorana Cirstea 1382\n",
+ "35 Shelby Rogers 1353\n",
+ "36 Ajla Tomljanovic 1335\n",
+ "37 Bianca Andreescu 1308\n",
+ "38 Yulia Putintseva 1280\n",
+ "39 Tereza Martincova 1248\n",
+ "40 Ekaterina Alexandrova 1236\n",
+ "41 Katerina Siniakova 1220\n",
+ "42 Marketa Vondrousova 1217\n",
+ "43 Anhelina Kalinina 1168\n",
+ "44 Jasmine Paolini 1153\n",
+ "45 Maria Camila Osorio Serrano 1147\n",
+ "46 Alison Van Uytvanck 1143\n",
+ "47 Magda Linette 1142\n",
+ "48 Amanda Anisimova 1120\n",
+ "49 Alison Riske 1101\n",
+ "50 Nuria Parrizas Diaz 1083"
+ ]
+ },
+ "execution_count": 41,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Rankin_WTA.head(51)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3ec4856c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "Ranking_WTA.head(51).to_csv('Ranking.csv')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "01ac6923",
+ "metadata": {},
+ "source": [
+ "# Proyecto API's"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "id": "d2bd7c88",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "response = requests.get('https://officeapi.dev/api/characters')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "16fee34c",
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'data': [{'_id': '5e93b4a43af44260882e33b0',\n",
+ " 'firstname': 'Michael',\n",
+ " 'lastname': 'Scott',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b4f03af44260882e33b1',\n",
+ " 'firstname': 'Jim',\n",
+ " 'lastname': 'Halpert',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b4fa3af44260882e33b2',\n",
+ " 'firstname': 'Dwight',\n",
+ " 'lastname': 'Schrute',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b50a3af44260882e33b3',\n",
+ " 'firstname': 'Pam',\n",
+ " 'lastname': 'Beesly',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5183af44260882e33b4',\n",
+ " 'firstname': 'Ryan',\n",
+ " 'lastname': 'Howard',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b51e3af44260882e33b5',\n",
+ " 'firstname': 'Kelly',\n",
+ " 'lastname': 'Kapoor',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b52b3af44260882e33b6',\n",
+ " 'firstname': 'Angela',\n",
+ " 'lastname': 'Martin',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5323af44260882e33b7',\n",
+ " 'firstname': 'Kevin',\n",
+ " 'lastname': 'Malone',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b53b3af44260882e33b8',\n",
+ " 'firstname': 'Oscar',\n",
+ " 'lastname': 'Martinez',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5453af44260882e33b9',\n",
+ " 'firstname': 'Andy',\n",
+ " 'lastname': 'Bernard',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b54d3af44260882e33ba',\n",
+ " 'firstname': 'Stanley',\n",
+ " 'lastname': 'Hudson',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5583af44260882e33bb',\n",
+ " 'firstname': 'Phyllis',\n",
+ " 'lastname': 'Lapin',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b55f3af44260882e33bc',\n",
+ " 'firstname': 'Toby',\n",
+ " 'lastname': 'Flenderson',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5653af44260882e33bd',\n",
+ " 'firstname': 'Erin',\n",
+ " 'lastname': 'Hannon',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b56d3af44260882e33be',\n",
+ " 'firstname': 'Gabe',\n",
+ " 'lastname': 'Lewis',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5783af44260882e33bf',\n",
+ " 'firstname': 'Darryl',\n",
+ " 'lastname': 'Philbin',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5813af44260882e33c0',\n",
+ " 'firstname': 'Creed',\n",
+ " 'lastname': 'Bratton',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b58b3af44260882e33c1',\n",
+ " 'firstname': 'Jo',\n",
+ " 'lastname': 'Bennett',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5913af44260882e33c2',\n",
+ " 'firstname': 'Holly',\n",
+ " 'lastname': 'Flax',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5983af44260882e33c3',\n",
+ " 'firstname': 'Jan',\n",
+ " 'lastname': 'Levinson',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5a13af44260882e33c4',\n",
+ " 'firstname': 'Todd',\n",
+ " 'lastname': 'Packer',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5a73af44260882e33c5',\n",
+ " 'firstname': 'Charles',\n",
+ " 'lastname': 'Minor',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5ad3af44260882e33c6',\n",
+ " 'firstname': 'Deangelo',\n",
+ " 'lastname': 'Vickers',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5b63af44260882e33c7',\n",
+ " 'firstname': 'Josh',\n",
+ " 'lastname': 'Porter',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5bb3af44260882e33c8',\n",
+ " 'firstname': 'Ed',\n",
+ " 'lastname': 'Truck',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5c53af44260882e33c9',\n",
+ " 'firstname': 'Hunter',\n",
+ " 'lastname': 'null',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e93b5d13af44260882e33ca',\n",
+ " 'firstname': 'David',\n",
+ " 'lastname': 'Wallace',\n",
+ " '__v': 0}]}"
+ ]
+ },
+ "execution_count": 54,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "response.json()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "id": "379af13e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
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+ " \n",
+ " \n",
+ " | \n",
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+ " data\n",
+ "0 {'_id': '5e93b4a43af44260882e33b0', 'firstname...\n",
+ "1 {'_id': '5e93b4f03af44260882e33b1', 'firstname...\n",
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+ "execution_count": 55,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "the_office = pd.DataFrame(response.json())\n",
+ "the_office.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "60525968",
+ "metadata": {},
+ "outputs": [
+ {
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+ "text/html": [
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+ "the_office1 = pd.json_normalize(the_office['data'])\n",
+ "the_office1.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
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+ " Packer | \n",
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+ " Charles | \n",
+ " Minor | \n",
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+ " Josh | \n",
+ " Porter | \n",
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+ " Ed | \n",
+ " Truck | \n",
+ "
\n",
+ " \n",
+ " | 25 | \n",
+ " Hunter | \n",
+ " null | \n",
+ "
\n",
+ " \n",
+ " | 26 | \n",
+ " David | \n",
+ " Wallace | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " firstname lastname\n",
+ "0 Michael Scott\n",
+ "1 Jim Halpert\n",
+ "2 Dwight Schrute\n",
+ "3 Pam Beesly\n",
+ "4 Ryan Howard\n",
+ "5 Kelly Kapoor\n",
+ "6 Angela Martin\n",
+ "7 Kevin Malone\n",
+ "8 Oscar Martinez\n",
+ "9 Andy Bernard\n",
+ "10 Stanley Hudson\n",
+ "11 Phyllis Lapin\n",
+ "12 Toby Flenderson\n",
+ "13 Erin Hannon\n",
+ "14 Gabe Lewis\n",
+ "15 Darryl Philbin\n",
+ "16 Creed Bratton\n",
+ "17 Jo Bennett\n",
+ "18 Holly Flax\n",
+ "19 Jan Levinson\n",
+ "20 Todd Packer\n",
+ "21 Charles Minor\n",
+ "22 Deangelo Vickers\n",
+ "23 Josh Porter\n",
+ "24 Ed Truck\n",
+ "25 Hunter null\n",
+ "26 David Wallace"
+ ]
+ },
+ "execution_count": 51,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Characters = the_office1[['firstname', 'lastname']]\n",
+ "Characters"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "6b553ff5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "Characters.to_csv('Characters.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "id": "1c31f18e",
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['Michael',\n",
+ " 'Jim',\n",
+ " 'Dwight',\n",
+ " 'Pam',\n",
+ " 'Ryan',\n",
+ " 'Kelly',\n",
+ " 'Angela',\n",
+ " 'Kevin',\n",
+ " 'Oscar',\n",
+ " 'Andy',\n",
+ " 'Stanley',\n",
+ " 'Phyllis',\n",
+ " 'Toby',\n",
+ " 'Erin',\n",
+ " 'Gabe',\n",
+ " 'Darryl',\n",
+ " 'Creed',\n",
+ " 'Jo',\n",
+ " 'Holly',\n",
+ " 'Jan',\n",
+ " 'Todd',\n",
+ " 'Charles',\n",
+ " 'Deangelo',\n",
+ " 'Josh',\n",
+ " 'Ed',\n",
+ " 'Hunter',\n",
+ " 'David']"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Nombres = list(the_office1['firstname'])\n",
+ "Nombres"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "53fd690d",
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['Scott',\n",
+ " 'Halpert',\n",
+ " 'Schrute',\n",
+ " 'Beesly',\n",
+ " 'Howard',\n",
+ " 'Kapoor',\n",
+ " 'Martin',\n",
+ " 'Malone',\n",
+ " 'Martinez',\n",
+ " 'Bernard',\n",
+ " 'Hudson',\n",
+ " 'Lapin',\n",
+ " 'Flenderson',\n",
+ " 'Hannon',\n",
+ " 'Lewis',\n",
+ " 'Philbin',\n",
+ " 'Bratton',\n",
+ " 'Bennett',\n",
+ " 'Flax',\n",
+ " 'Levinson',\n",
+ " 'Packer',\n",
+ " 'Minor',\n",
+ " 'Vickers',\n",
+ " 'Porter',\n",
+ " 'Truck',\n",
+ " 'null',\n",
+ " 'Wallace']"
+ ]
+ },
+ "execution_count": 43,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Apellidos = list(the_office1['lastname'])\n",
+ "Apellidos"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "682bf33b",
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[('Michael', 'Scott'),\n",
+ " ('Jim', 'Halpert'),\n",
+ " ('Dwight', 'Schrute'),\n",
+ " ('Pam', 'Beesly'),\n",
+ " ('Ryan', 'Howard'),\n",
+ " ('Kelly', 'Kapoor'),\n",
+ " ('Angela', 'Martin'),\n",
+ " ('Kevin', 'Malone'),\n",
+ " ('Oscar', 'Martinez'),\n",
+ " ('Andy', 'Bernard'),\n",
+ " ('Stanley', 'Hudson'),\n",
+ " ('Phyllis', 'Lapin'),\n",
+ " ('Toby', 'Flenderson'),\n",
+ " ('Erin', 'Hannon'),\n",
+ " ('Gabe', 'Lewis'),\n",
+ " ('Darryl', 'Philbin'),\n",
+ " ('Creed', 'Bratton'),\n",
+ " ('Jo', 'Bennett'),\n",
+ " ('Holly', 'Flax'),\n",
+ " ('Jan', 'Levinson'),\n",
+ " ('Todd', 'Packer'),\n",
+ " ('Charles', 'Minor'),\n",
+ " ('Deangelo', 'Vickers'),\n",
+ " ('Josh', 'Porter'),\n",
+ " ('Ed', 'Truck'),\n",
+ " ('Hunter', 'null'),\n",
+ " ('David', 'Wallace')]"
+ ]
+ },
+ "execution_count": 47,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "Nombres_completos = list(zip(Nombres, Apellidos))\n",
+ "Nombres_completos"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "id": "e23dc07c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "np.savetxt(\"Nombres_completos.csv\", Nombres_completos, fmt='% s')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "31322cd1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "episodios = requests.get('https://officeapi.dev/api/episodes')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "id": "5865fd15",
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'data': [{'_id': '5e94d646f733a1332868e1dc',\n",
+ " 'title': 'Pilot',\n",
+ " 'description': 'A documentary crew gives a firsthand introduction to the staff of the Scranton branch of the Dunder Mifflin Paper Company, managed by Michael Scott.',\n",
+ " 'writer': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9523649511994a07f9a313',\n",
+ " 'name': 'Ken Kwapis',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-03-24T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5e94d6a0f733a1332868e1dd',\n",
+ " 'title': 'Diversity Day',\n",
+ " 'description': \"After the corporate office discovers that Michael has been making insensitive remarks to his co-workers, they send a sensitivity trainer to the Scranton branch, but when Michael doesn't agree with everything the trainer says, he sets up his own sensitivity workshop.\",\n",
+ " 'writer': {'_id': '5e9523bc9511994a07f9a314',\n",
+ " 'name': 'B.J. Novak',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9523649511994a07f9a313',\n",
+ " 'name': 'Ken Kwapis',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-03-29T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8f70a88792d4b2bee2ead',\n",
+ " 'title': 'Health Care',\n",
+ " 'description': 'Dwight ends up in charge of picking a new health care plan.',\n",
+ " 'writer': {'_id': '5e9523d69511994a07f9a315',\n",
+ " 'name': 'Paul Lieberstein',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9523ef9511994a07f9a316',\n",
+ " 'name': 'Ken Whittingham',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-04-05T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8f75188792d4b2bee2eae',\n",
+ " 'title': 'The Alliance',\n",
+ " 'description': 'With Dwight worried about downsizing, Jim agrees to an alliance; Michael tries to increase moral be throwing a birthday party for Meredith.',\n",
+ " 'writer': {'_id': '5e9524139511994a07f9a317',\n",
+ " 'name': 'Michael Schur',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e95241e9511994a07f9a318',\n",
+ " 'name': 'Bryan Gordon',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-04-12T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8f76d88792d4b2bee2eaf',\n",
+ " 'title': 'Basketball',\n",
+ " 'description': 'Michael challenges the warehouse staff to a basketball game versus the office staff.',\n",
+ " 'writer': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-04-19T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8f8a1e9f68d4b6f809c48',\n",
+ " 'title': 'Hot Girl',\n",
+ " 'description': 'Several male staff members vie for the attention of an attractive purse sales woman.',\n",
+ " 'writer': {'_id': '5e95245e9511994a07f9a31a',\n",
+ " 'name': 'Mindy Kaling',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e95246d9511994a07f9a31b',\n",
+ " 'name': 'Amy Heckerling',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-04-26T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fb2cddecdf4bb7e9181f',\n",
+ " 'title': 'The Dundies',\n",
+ " 'description': 'Michael hosts the annual Dundies awards.',\n",
+ " 'writer': {'_id': '5e95245e9511994a07f9a31a',\n",
+ " 'name': 'Mindy Kaling',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-09-20T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fbf9ddecdf4bb7e91820',\n",
+ " 'title': 'Sexual Harassment',\n",
+ " 'description': \"Michael's continual sending of explicit e-mail forwards forces Dunder Mifflin to review it's sexual harassment policy; Pam's mom makes a visit to the office.\",\n",
+ " 'writer': {'_id': '5e9523bc9511994a07f9a314',\n",
+ " 'name': 'B.J. Novak',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9523649511994a07f9a313',\n",
+ " 'name': 'Ken Kwapis',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-09-27T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fc28ddecdf4bb7e91821',\n",
+ " 'title': 'Office Olympics',\n",
+ " 'description': 'With Michael and Dwight out of the house, Jim organizes an office Olympics.',\n",
+ " 'writer': {'_id': '5e9524139511994a07f9a317',\n",
+ " 'name': 'Michael Schur',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9524809511994a07f9a31c',\n",
+ " 'name': 'Paul Feig',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-10-04T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fc87ddecdf4bb7e91822',\n",
+ " 'title': 'The Fire',\n",
+ " 'description': 'A fire starts in the office kitchen.',\n",
+ " 'writer': {'_id': '5e9523bc9511994a07f9a314',\n",
+ " 'name': 'B.J. Novak',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9523649511994a07f9a313',\n",
+ " 'name': 'Ken Kwapis',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-10-11T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fcf4ddecdf4bb7e91823',\n",
+ " 'title': 'Halloween',\n",
+ " 'description': 'Michael is pressured by corporate to fire someone, which puts a damper on the office Halloween party.',\n",
+ " 'writer': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9524809511994a07f9a31c',\n",
+ " 'name': 'Paul Feig',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-10-18T05:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fd39ddecdf4bb7e91824',\n",
+ " 'title': 'The Fight',\n",
+ " 'description': \"Jim rallies the staff together to witness a showdown between Michael and Dwight at Dwight's martial arts school.\",\n",
+ " 'writer': {'_id': '5e9524949511994a07f9a31d',\n",
+ " 'name': 'Gene Stupnitsky',\n",
+ " 'role': 'Writer',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9523649511994a07f9a313',\n",
+ " 'name': 'Ken Kwapis',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-11-01T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fd85ddecdf4bb7e91825',\n",
+ " 'title': 'The Client',\n",
+ " 'description': \"Jan helps Michael with an important pitch for a client; The staff discovers a screenplay in Michael's office.\",\n",
+ " 'writer': {'_id': '5e9523d69511994a07f9a315',\n",
+ " 'name': 'Paul Lieberstein',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-11-08T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fdc6ddecdf4bb7e91826',\n",
+ " 'title': 'Performance Review',\n",
+ " 'description': 'Instead of talking to his employees about their work, Michael uses their annual review time to gather feedback on his \"relationship\" with Jan.',\n",
+ " 'writer': {'_id': '5e9524d09511994a07f9a31f',\n",
+ " 'name': 'Larry Wilmore',\n",
+ " 'role': 'Writer',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9524809511994a07f9a31c',\n",
+ " 'name': 'Paul Feig',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-11-15T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fe0addecdf4bb7e91827',\n",
+ " 'title': 'E-Mail Surveillance',\n",
+ " 'description': 'Michael decides to set up e-mail surveillance for all company e-mail, and discovers that Jim has invited everyone over for a barbeque except him.',\n",
+ " 'writer': {'_id': '5e9524df9511994a07f9a320',\n",
+ " 'name': 'Jennifer Celotta',\n",
+ " 'role': 'Writer',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9524809511994a07f9a31c',\n",
+ " 'name': 'Paul Feig',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-11-22T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fe4bddecdf4bb7e91828',\n",
+ " 'title': 'Christmas Party',\n",
+ " 'description': 'At the office Christmas party, Michael changes secret santa into a gift exchange.',\n",
+ " 'writer': {'_id': '5e9524139511994a07f9a317',\n",
+ " 'name': 'Michael Schur',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9524f49511994a07f9a321',\n",
+ " 'name': 'Charles McDougall',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2005-12-06T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fe89ddecdf4bb7e91829',\n",
+ " 'title': 'Booze Cruise',\n",
+ " 'description': 'The Dunder Mifflin staff go on a mandatory \"booze cruise\" to hear Michael give a motivational talk.',\n",
+ " 'writer': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9523649511994a07f9a313',\n",
+ " 'name': 'Ken Kwapis',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2006-01-05T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8fef0ddecdf4bb7e9182a',\n",
+ " 'title': 'The Injury',\n",
+ " 'description': 'Michael\\'s \"injury\" from a George Foreman Grill distracts the staff from Dwight, the one with the real injury.',\n",
+ " 'writer': {'_id': '5e95245e9511994a07f9a31a',\n",
+ " 'name': 'Mindy Kaling',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e95241e9511994a07f9a318',\n",
+ " 'name': 'Bryan Gordon',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2006-01-12T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8ff34ddecdf4bb7e9182b',\n",
+ " 'title': 'The Secret',\n",
+ " 'description': 'Jim is forced into spending time with Michael so that he will not reveal Jim\\'s feelings for Pam. Meanwhile, Oscar takes a \"sick day\" and Dwight investigates whether he is actually sick.',\n",
+ " 'writer': {'_id': '5e9524949511994a07f9a31d',\n",
+ " 'name': 'Gene Stupnitsky',\n",
+ " 'role': 'Writer',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9525109511994a07f9a322',\n",
+ " 'name': 'Dennie Gordon',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2006-01-19T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8ff73ddecdf4bb7e9182c',\n",
+ " 'title': 'The Carpet',\n",
+ " 'description': \"Michael's office becomes the victim of an odorous prank which subjects the office to his punishment.\",\n",
+ " 'writer': {'_id': '5e9523d69511994a07f9a315',\n",
+ " 'name': 'Paul Lieberstein',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9525459511994a07f9a323',\n",
+ " 'name': 'Victor Nelli, Jr',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2006-01-26T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8ffa6ddecdf4bb7e9182d',\n",
+ " 'title': 'Boys and Girls',\n",
+ " 'description': \"When Jan comes to the office for a women in the office session, Michael stages a men's only session.\",\n",
+ " 'writer': {'_id': '5e9523bc9511994a07f9a314',\n",
+ " 'name': 'B.J. Novak',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9525109511994a07f9a322',\n",
+ " 'name': 'Dennie Gordon',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2006-02-02T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea8ffd7ddecdf4bb7e9182e',\n",
+ " 'title': \"Valentine's Day\",\n",
+ " 'description': \"Michael has a big meeting in New York with Jan and the companies new CEO; Pam deals with all the Valentine's Day deliveries hoping Roy will remember to send her something.\",\n",
+ " 'writer': {'_id': '5e9524139511994a07f9a317',\n",
+ " 'name': 'Michael Schur',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e95242f9511994a07f9a319',\n",
+ " 'name': 'Greg Daniels',\n",
+ " 'role': 'Writer/Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2006-02-09T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea9000eddecdf4bb7e9182f',\n",
+ " 'title': \"Dwight's Speech\",\n",
+ " 'description': 'Michael coaches pompous Dwight on the finer art of public speaking after being named as Salesman of the Year.',\n",
+ " 'writer': {'_id': '5e9523d69511994a07f9a315',\n",
+ " 'name': 'Paul Lieberstein',\n",
+ " 'role': 'Writer/Actor',\n",
+ " '__v': 0},\n",
+ " 'director': {'_id': '5e9524f49511994a07f9a321',\n",
+ " 'name': 'Charles McDougall',\n",
+ " 'role': 'Director',\n",
+ " '__v': 0},\n",
+ " 'airDate': '2006-03-02T06:00:00.000Z',\n",
+ " '__v': 0},\n",
+ " {'_id': '5ea9005fddecdf4bb7e91830',\n",
+ " 'title': 'Take Your Daughter to Work Day',\n",
+ " 'description': 'Staff members bring their children to work. Michael is surprised when he strikes up a friendship with the five-year old daughter of his sworn enemy, Toby.',\n",
+ " 'writer': {'_id': '5e95245e9511994a07f9a31a',\n",
+ " 'name': 'Mindy Kaling',\n",
+ " 'role': 'Writer/Actor',\n",
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+ },
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+ "data_episodios1 = pd.json_normalize(data_episodios['data'])\n",
+ "data_episodios1.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "id": "62698127",
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
+ {
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+ "text/plain": [
+ "0 Pilot\n",
+ "1 Diversity Day\n",
+ "2 Health Care\n",
+ "3 The Alliance\n",
+ "4 Basketball\n",
+ "5 Hot Girl\n",
+ "6 The Dundies\n",
+ "7 Sexual Harassment\n",
+ "8 Office Olympics\n",
+ "9 The Fire\n",
+ "10 Halloween\n",
+ "11 The Fight\n",
+ "12 The Client\n",
+ "13 Performance Review\n",
+ "14 E-Mail Surveillance\n",
+ "15 Christmas Party\n",
+ "16 Booze Cruise\n",
+ "17 The Injury\n",
+ "18 The Secret\n",
+ "19 The Carpet\n",
+ "20 Boys and Girls\n",
+ "21 Valentine's Day\n",
+ "22 Dwight's Speech\n",
+ "23 Take Your Daughter to Work Day\n",
+ "24 Michael's Birthday\n",
+ "25 Drug Testing\n",
+ "26 Conflict Resolution\n",
+ "27 Casino Night\n",
+ "Name: title, dtype: object"
+ ]
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+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "titulos = data_episodios1['title']\n",
+ "titulos"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "id": "2474ca19",
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['Basketball',\n",
+ " 'Booze Cruise',\n",
+ " 'Boys and Girls',\n",
+ " 'Casino Night',\n",
+ " 'Christmas Party',\n",
+ " 'Conflict Resolution',\n",
+ " 'Diversity Day',\n",
+ " 'Drug Testing',\n",
+ " \"Dwight's Speech\",\n",
+ " 'E-Mail Surveillance',\n",
+ " 'Halloween',\n",
+ " 'Health Care',\n",
+ " 'Hot Girl',\n",
+ " \"Michael's Birthday\",\n",
+ " 'Office Olympics',\n",
+ " 'Performance Review',\n",
+ " 'Pilot',\n",
+ " 'Sexual Harassment',\n",
+ " 'Take Your Daughter to Work Day',\n",
+ " 'The Alliance',\n",
+ " 'The Carpet',\n",
+ " 'The Client',\n",
+ " 'The Dundies',\n",
+ " 'The Fight',\n",
+ " 'The Fire',\n",
+ " 'The Injury',\n",
+ " 'The Secret',\n",
+ " \"Valentine's Day\"]"
+ ]
+ },
+ "execution_count": 71,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "titulos_alfabeticamente = sorted(titulos)\n",
+ "titulos_alfabeticamente"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "id": "148dc885",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "np.savetxt(\"Titulos.csv\", titulos_alfabeticamente, fmt='% s')\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
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+ "nbformat_minor": 5
+}
diff --git a/your-code/README.md b/your-code/README.md
new file mode 100644
index 0000000..d3837e5
--- /dev/null
+++ b/your-code/README.md
@@ -0,0 +1,30 @@
+
+# Proyecto Web Scrapping & API´s
+
+## Introducción
+
+
+El "scraping" web (también llamado "web harvesting", "web data extraction" o incluso "web data mining"), puede definirse como "la construcción de un agente para descargar, analizar y organizar datos de la web de forma automatizada".
+
+De igual manera hemos aprendido a utilizar las solicitudes de Python a las API y el análisis de las respuestas JSON para extraer la información que necesitas.
+
+Lo que realizamos para el proyecto de Web Scrapping fue extraer información de un periodico para ubicar a l@s mejores 50 tenistas masculinos y femeninas.
+
+Para el proyecto de API´s obtuvimos los nombres de todos los personajes de una serie de igual manera obtuvimos los nombres de los episodios ordenados de manera alfabetica.
+
+
+## Desarrollo
+
+Para el proyecto de WebScrapping se ingreso a la pagina del periodcio Marca, de la cual se extrajo la tabla del ranking de la ATP Y WTA.
+De esta manera se obtuvieron los datos buscados sobre l@s 50 mejores tenistas de la actualidad.
+
+Para el proyecto de API´s se ubico una página API de la serie The Office de la cual utilizando un DataFrame se obtuvieron los nombres de los personajes y el nombres de los episodios-
+
+
+
+
+## Recursos
+
+https://www.officeapi.dev/
+https://www.sport.es/es/noticias/tenis/ranking-wta-tenis-2022-actualizado-13100681
+https://www.marca.com/tenis/clasificacion-atp.html