From 1a73e447799a4ab9a15116e72118e172ba0b968b Mon Sep 17 00:00:00 2001 From: Cristopher Aguirre Criollo Date: Fri, 20 Nov 2020 12:23:03 -0500 Subject: [PATCH] =?UTF-8?q?Actualizaci=C3=B3n?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../02_explore_the_data-checkpoint.ipynb | 2585 +++++++++++++++++ notebooks/clase-1/02_explore_the_data.ipynb | 73 +- ...1-aprendizaje_supervisado-checkpoint.ipynb | 852 ++++++ .../01-aprendizaje_supervisado.ipynb | 44 +- 4 files changed, 3487 insertions(+), 67 deletions(-) create mode 100644 notebooks/clase-1/.ipynb_checkpoints/02_explore_the_data-checkpoint.ipynb create mode 100644 notebooks/practico-1/.ipynb_checkpoints/01-aprendizaje_supervisado-checkpoint.ipynb diff --git a/notebooks/clase-1/.ipynb_checkpoints/02_explore_the_data-checkpoint.ipynb b/notebooks/clase-1/.ipynb_checkpoints/02_explore_the_data-checkpoint.ipynb new file mode 100644 index 0000000..4bfc3cd --- /dev/null +++ b/notebooks/clase-1/.ipynb_checkpoints/02_explore_the_data-checkpoint.ipynb @@ -0,0 +1,2585 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exploramos los datos" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'google'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mdrive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mdrive\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'/content/my drive'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'google'" + ] + } + ], + "source": [ + "from google.colab import drive\n", + "\n", + "drive.mount('/content/my drive')" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "PATH = Path('/content/gdrive/My Drive/ml-practico/data')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[PosixPath('../data/aclImdb_v1.tar'),\n", + " PosixPath('../data/title.ratings.tsv'),\n", + " PosixPath('../data/movie_gross.csv'),\n", + " PosixPath('../data/title.principals.tsv'),\n", + " PosixPath('../data/title.akas.tsv'),\n", + " PosixPath('../data/name.basics.tsv'),\n", + " PosixPath('../data/title.basics.tsv'),\n", + " PosixPath('../data/title.crew.tsv')]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(PATH.glob('*'))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Arrancamos por title basics\n", + "\n", + "Ver documentacion de columnas [aca](https://www.imdb.com/interfaces/)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/przivic/anaconda3/lib/python3.8/site-packages/IPython/core/interactiveshell.py:3071: DtypeWarning: Columns (5) have mixed types.Specify dtype option on import or set low_memory=False.\n", + " has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n" + ] + }, + { + "data": { + "text/plain": [ + "7156880" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "title_basics = pd.read_csv(PATH / 'title.basics.tsv', sep='\\t')\n", + "len(title_basics)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nos está diciendo que tenemos columnas con tipos mezclados (por ejemplo numero y string).\n", + "\n", + "Eso hace que la columa se interprete como string (se muestra como object en pandas)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tconst object\n", + "titleType object\n", + "primaryTitle object\n", + "originalTitle object\n", + "isAdult int64\n", + "startYear object\n", + "endYear object\n", + "runtimeMinutes object\n", + "genres object\n", + "dtype: object" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title_basics.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# A ver algunas rows" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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tconsttitleTypeprimaryTitleoriginalTitleisAdultstartYearendYearruntimeMinutesgenres
0tt0000001shortCarmencitaCarmencita01894\\N1Documentary,Short
1tt0000002shortLe clown et ses chiensLe clown et ses chiens01892\\N5Animation,Short
2tt0000003shortPauvre PierrotPauvre Pierrot01892\\N4Animation,Comedy,Romance
3tt0000004shortUn bon bockUn bon bock01892\\N12Animation,Short
4tt0000005shortBlacksmith SceneBlacksmith Scene01893\\N1Comedy,Short
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" + ], + "text/plain": [ + " tconst titleType primaryTitle originalTitle \\\n", + "0 tt0000001 short Carmencita Carmencita \n", + "1 tt0000002 short Le clown et ses chiens Le clown et ses chiens \n", + "2 tt0000003 short Pauvre Pierrot Pauvre Pierrot \n", + "3 tt0000004 short Un bon bock Un bon bock \n", + "4 tt0000005 short Blacksmith Scene Blacksmith Scene \n", + "\n", + " isAdult startYear endYear runtimeMinutes genres \n", + "0 0 1894 \\N 1 Documentary,Short \n", + "1 0 1892 \\N 5 Animation,Short \n", + "2 0 1892 \\N 4 Animation,Comedy,Romance \n", + "3 0 1892 \\N 12 Animation,Short \n", + "4 0 1893 \\N 1 Comedy,Short " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title_basics.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## titleType" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tvEpisode 5139923\n", + "short 760240\n", + "movie 560818\n", + "video 278137\n", + "tvSeries 192100\n", + "tvMovie 123363\n", + "tvMiniSeries 33232\n", + "tvSpecial 29616\n", + "videoGame 26291\n", + "tvShort 13160\n", + "Name: titleType, dtype: int64" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title_basics.titleType.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Descartamos las series** (no aplican para lo que estamos trabajando ahora)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "991934" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title_basics = title_basics[\n", + " # Dejamos tvSpecial, video y tvMovie por ahora, vamos a ver de que se tratan\n", + " ~title_basics.titleType.isin(['tvEpisode', 'tvSeries', 'tvMiniSeries', 'videoGame', 'tvShort', 'short'])\n", + "]\n", + "\n", + "len(title_basics) # vemos con cuanta data nos quedamos" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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tconsttitleTypeprimaryTitleoriginalTitleisAdultstartYearendYearruntimeMinutesgenres
8tt0000009movieMiss JerryMiss Jerry01894\\N45Romance
144tt0000147movieThe Corbett-Fitzsimmons FightThe Corbett-Fitzsimmons Fight01897\\N20Documentary,News,Sport
331tt0000335movieSoldiers of the CrossSoldiers of the Cross01900\\N\\NBiography,Drama
498tt0000502movieBohemiosBohemios01905\\N100\\N
570tt0000574movieThe Story of the Kelly GangThe Story of the Kelly Gang01906\\N70Biography,Crime,Drama
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" + ], + "text/plain": [ + " tconst titleType primaryTitle \\\n", + "8 tt0000009 movie Miss Jerry \n", + "144 tt0000147 movie The Corbett-Fitzsimmons Fight \n", + "331 tt0000335 movie Soldiers of the Cross \n", + "498 tt0000502 movie Bohemios \n", + "570 tt0000574 movie The Story of the Kelly Gang \n", + "\n", + " originalTitle isAdult startYear endYear runtimeMinutes \\\n", + "8 Miss Jerry 0 1894 \\N 45 \n", + "144 The Corbett-Fitzsimmons Fight 0 1897 \\N 20 \n", + "331 Soldiers of the Cross 0 1900 \\N \\N \n", + "498 Bohemios 0 1905 \\N 100 \n", + "570 The Story of the Kelly Gang 0 1906 \\N 70 \n", + "\n", + " genres \n", + "8 Romance \n", + "144 Documentary,News,Sport \n", + "331 Biography,Drama \n", + "498 \\N \n", + "570 Biography,Crime,Drama " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title_basics.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## runtimeMinutes" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Convertimos runtimeMinutes a float. No se puede tener una columna de tipo int con NaN\n", + "title_basics.runtimeMinutes = (\n", + " title_basics.runtimeMinutes.apply(lambda x: np.nan if x == r'\\N' else x).astype(float)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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tconsttitleTypeprimaryTitleoriginalTitleisAdultstartYearendYearruntimeMinutesgenres
6380342tt8273150movieLogisticsLogistics02012\\N51420.0Documentary
2166581tt12095652videoThe Longest Video on YouTube: 596.5 HoursThe Longest Video on YouTube: 596.5 Hours02011\\N35791.0\\N
2269937tt12277054movieCarnets Filmés (Liste Complète)Carnets Filmés (Liste Complète)02019\\N28643.0Documentary
3861714tt2659636movieModern Times ForeverModern Times Forever02011\\N14400.0Documentary
1943883tt11707418tvMovieSvalbard Minute by MinuteSvalbard minutt for minutt02020\\N13319.0Adventure,Documentary
\n", + "
" + ], + "text/plain": [ + " tconst titleType primaryTitle \\\n", + "6380342 tt8273150 movie Logistics \n", + "2166581 tt12095652 video The Longest Video on YouTube: 596.5 Hours \n", + "2269937 tt12277054 movie Carnets Filmés (Liste Complète) \n", + "3861714 tt2659636 movie Modern Times Forever \n", + "1943883 tt11707418 tvMovie Svalbard Minute by Minute \n", + "\n", + " originalTitle isAdult startYear endYear \\\n", + "6380342 Logistics 0 2012 \\N \n", + "2166581 The Longest Video on YouTube: 596.5 Hours 0 2011 \\N \n", + "2269937 Carnets Filmés (Liste Complète) 0 2019 \\N \n", + "3861714 Modern Times Forever 0 2011 \\N \n", + "1943883 Svalbard minutt for minutt 0 2020 \\N \n", + "\n", + " runtimeMinutes genres \n", + "6380342 51420.0 Documentary \n", + "2166581 35791.0 \\N \n", + "2269937 28643.0 Documentary \n", + "3861714 14400.0 Documentary \n", + "1943883 13319.0 Adventure,Documentary " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title_basics.sort_values('runtimeMinutes', ascending=False).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Efectivamente hay valores enormes. runtimeMinutes = 13319 quiere decir 221 horas!!!!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Cuantas peliculas de mas de 3 horas hay?**" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.009139720989501318" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(title_basics.runtimeMinutes > 3 * 60).sum() / len(title_basics)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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tconsttitleTypeprimaryTitleoriginalTitleisAdultstartYearendYearruntimeMinutesgenres
248799tt0259422movieMangalaMangala01951\\N182.0Drama
1229898tt1045823tvMovieCamp MTVCamp MTV01989\\N360.0Comedy
6368899tt8248986videoWorld Of BangBros: BangBros Exotics 1World Of BangBros: BangBros Exotics 112018\\N212.0Adult
3712781tt2354169tvMovieLe nozze di FigaroLe nozze di Figaro01996\\N187.0Music
3969055tt2913840videoLez-ManiaLez-Mania12008\\N271.0Adult
4073289tt3163900videoInterracial GangbangInterracial Gangbang12012\\N224.0Adult
4867703tt4962920videoAugust Ames and FriendsAugust Ames and Friends12014\\N349.0Adult
6677216tt8906050videoSquirtathonSquirtathon12010\\N244.0Adult
1154071tt10324862videoDocP-132DocP-13212019\\N226.0Adult
271592tt0283246tvMovieAnatomy of DisgustAnatomy of Disgust02000\\N195.0Documentary,History
2227124tt1220196tvMovieThe 100 Greatest Sex SymbolsThe 100 Greatest Sex Symbols02007\\N240.0Documentary
875222tt0902956videoBig Country the Final FlingBig Country the Final Fling02002\\N200.0Music
431638tt0448977tvSpecial100 Greatest Cartoons100 Greatest Cartoons02005\\N245.0Animation,Documentary,Family
1668563tt11224210videoLesbian Sex 20Lesbian Sex 2012019\\N185.0Adult
5778672tt6986818videoBusty Bikini Babes 2Busty Bikini Babes 212012\\N238.0Adult
4034723tt3072554videoPrivate TranssexualPrivate Transsexual12010\\N192.0Adult
371153tt0386891tvSpecialYlen hyväYlen hyvä02003\\N220.0Music
5463371tt6296322videoNyuhafuaidoru 4-jikan besutoNyuhafuaidoru 4-jikan besuto12009\\N240.0Adult
2973661tt1566621videoSem LimitesSem Limites12008\\N181.0Adult
187762tt0194917tvMovieGioco perversoGioco perverso01993\\N200.0Drama
\n", + "
" + ], + "text/plain": [ + " tconst titleType primaryTitle \\\n", + "248799 tt0259422 movie Mangala \n", + "1229898 tt1045823 tvMovie Camp MTV \n", + "6368899 tt8248986 video World Of BangBros: BangBros Exotics 1 \n", + "3712781 tt2354169 tvMovie Le nozze di Figaro \n", + "3969055 tt2913840 video Lez-Mania \n", + "4073289 tt3163900 video Interracial Gangbang \n", + "4867703 tt4962920 video August Ames and Friends \n", + "6677216 tt8906050 video Squirtathon \n", + "1154071 tt10324862 video DocP-132 \n", + "271592 tt0283246 tvMovie Anatomy of Disgust \n", + "2227124 tt1220196 tvMovie The 100 Greatest Sex Symbols \n", + "875222 tt0902956 video Big Country the Final Fling \n", + "431638 tt0448977 tvSpecial 100 Greatest Cartoons \n", + "1668563 tt11224210 video Lesbian Sex 20 \n", + "5778672 tt6986818 video Busty Bikini Babes 2 \n", + "4034723 tt3072554 video Private Transsexual \n", + "371153 tt0386891 tvSpecial Ylen hyvä \n", + "5463371 tt6296322 video Nyuhafuaidoru 4-jikan besuto \n", + "2973661 tt1566621 video Sem Limites \n", + "187762 tt0194917 tvMovie Gioco perverso \n", + "\n", + " originalTitle isAdult startYear endYear \\\n", + "248799 Mangala 0 1951 \\N \n", + "1229898 Camp MTV 0 1989 \\N \n", + "6368899 World Of BangBros: BangBros Exotics 1 1 2018 \\N \n", + "3712781 Le nozze di Figaro 0 1996 \\N \n", + "3969055 Lez-Mania 1 2008 \\N \n", + "4073289 Interracial Gangbang 1 2012 \\N \n", + "4867703 August Ames and Friends 1 2014 \\N \n", + "6677216 Squirtathon 1 2010 \\N \n", + "1154071 DocP-132 1 2019 \\N \n", + "271592 Anatomy of Disgust 0 2000 \\N \n", + "2227124 The 100 Greatest Sex Symbols 0 2007 \\N \n", + "875222 Big Country the Final Fling 0 2002 \\N \n", + "431638 100 Greatest Cartoons 0 2005 \\N \n", + "1668563 Lesbian Sex 20 1 2019 \\N \n", + "5778672 Busty Bikini Babes 2 1 2012 \\N \n", + "4034723 Private Transsexual 1 2010 \\N \n", + "371153 Ylen hyvä 0 2003 \\N \n", + "5463371 Nyuhafuaidoru 4-jikan besuto 1 2009 \\N \n", + "2973661 Sem Limites 1 2008 \\N \n", + "187762 Gioco perverso 0 1993 \\N \n", + "\n", + " runtimeMinutes genres \n", + "248799 182.0 Drama \n", + "1229898 360.0 Comedy \n", + "6368899 212.0 Adult \n", + "3712781 187.0 Music \n", + "3969055 271.0 Adult \n", + "4073289 224.0 Adult \n", + "4867703 349.0 Adult \n", + "6677216 244.0 Adult \n", + "1154071 226.0 Adult \n", + "271592 195.0 Documentary,History \n", + "2227124 240.0 Documentary \n", + "875222 200.0 Music \n", + "431638 245.0 Animation,Documentary,Family \n", + "1668563 185.0 Adult \n", + "5778672 238.0 Adult \n", + "4034723 192.0 Adult \n", + "371153 220.0 Music \n", + "5463371 240.0 Adult \n", + "2973661 181.0 Adult \n", + "187762 200.0 Drama " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Un 0.9%, a ver algunas...\n", + "\n", + "title_basics[title_basics.runtimeMinutes > 3 * 60].sample(20)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Parece haber muchos video**" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "video 5122\n", + "movie 1999\n", + "tvMovie 1151\n", + "tvSpecial 794\n", + "Name: titleType, dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "title_basics[title_basics.runtimeMinutes > 3 * 60].titleType.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Pareciera que hay muchos videos, tvMovie y tvSpecial**\n", + "\n", + "Por otro lado, alguna de estas estará en la base de datos de grossing? Ya que estamos, tambien podemos juntarla con la de ratings" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Merges para ver una foto mas completa" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "movie_gross = pd.read_csv(PATH / 'movie_gross.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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colordirector_namenum_critic_for_reviewsdurationdirector_facebook_likesactor_3_facebook_likesactor_2_nameactor_1_facebook_likesgrossgenres...num_user_for_reviewslanguagecountrycontent_ratingbudgettitle_yearactor_2_facebook_likesimdb_scoreaspect_ratiomovie_facebook_likes
0ColorJames Cameron723.0178.00.0855.0Joel David Moore1000.0760505847.0Action|Adventure|Fantasy|Sci-Fi...3054.0EnglishUSAPG-13237000000.02009.0936.07.91.7833000
1ColorGore Verbinski302.0169.0563.01000.0Orlando Bloom40000.0309404152.0Action|Adventure|Fantasy...1238.0EnglishUSAPG-13300000000.02007.05000.07.12.350
2ColorSam Mendes602.0148.00.0161.0Rory Kinnear11000.0200074175.0Action|Adventure|Thriller...994.0EnglishUKPG-13245000000.02015.0393.06.82.3585000
3ColorChristopher Nolan813.0164.022000.023000.0Christian Bale27000.0448130642.0Action|Thriller...2701.0EnglishUSAPG-13250000000.02012.023000.08.52.35164000
4NaNDoug WalkerNaNNaN131.0NaNRob Walker131.0NaNDocumentary...NaNNaNNaNNaNNaNNaN12.07.1NaN0
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5 rows × 28 columns

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" + ], + "text/plain": [ + " color director_name num_critic_for_reviews duration \\\n", + "0 Color James Cameron 723.0 178.0 \n", + "1 Color Gore Verbinski 302.0 169.0 \n", + "2 Color Sam Mendes 602.0 148.0 \n", + "3 Color Christopher Nolan 813.0 164.0 \n", + "4 NaN Doug Walker NaN NaN \n", + "\n", + " director_facebook_likes actor_3_facebook_likes actor_2_name \\\n", + "0 0.0 855.0 Joel David Moore \n", + "1 563.0 1000.0 Orlando Bloom \n", + "2 0.0 161.0 Rory Kinnear \n", + "3 22000.0 23000.0 Christian Bale \n", + "4 131.0 NaN Rob Walker \n", + "\n", + " actor_1_facebook_likes gross genres ... \\\n", + "0 1000.0 760505847.0 Action|Adventure|Fantasy|Sci-Fi ... \n", + "1 40000.0 309404152.0 Action|Adventure|Fantasy ... \n", + "2 11000.0 200074175.0 Action|Adventure|Thriller ... \n", + "3 27000.0 448130642.0 Action|Thriller ... \n", + "4 131.0 NaN Documentary ... \n", + "\n", + " num_user_for_reviews language country content_rating budget \\\n", + "0 3054.0 English USA PG-13 237000000.0 \n", + "1 1238.0 English USA PG-13 300000000.0 \n", + "2 994.0 English UK PG-13 245000000.0 \n", + "3 2701.0 English USA PG-13 250000000.0 \n", + "4 NaN NaN NaN NaN NaN \n", + "\n", + " title_year actor_2_facebook_likes imdb_score aspect_ratio \\\n", + "0 2009.0 936.0 7.9 1.78 \n", + "1 2007.0 5000.0 7.1 2.35 \n", + "2 2015.0 393.0 6.8 2.35 \n", + "3 2012.0 23000.0 8.5 2.35 \n", + "4 NaN 12.0 7.1 NaN \n", + "\n", + " movie_facebook_likes \n", + "0 33000 \n", + "1 0 \n", + "2 85000 \n", + "3 164000 \n", + "4 0 \n", + "\n", + "[5 rows x 28 columns]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movie_gross.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['color', 'director_name', 'num_critic_for_reviews', 'duration',\n", + " 'director_facebook_likes', 'actor_3_facebook_likes', 'actor_2_name',\n", + " 'actor_1_facebook_likes', 'gross', 'genres', 'actor_1_name',\n", + " 'movie_title', 'num_voted_users', 'cast_total_facebook_likes',\n", + " 'actor_3_name', 'facenumber_in_poster', 'plot_keywords',\n", + " 'movie_imdb_link', 'num_user_for_reviews', 'language', 'country',\n", + " 'content_rating', 'budget', 'title_year', 'actor_2_facebook_likes',\n", + " 'imdb_score', 'aspect_ratio', 'movie_facebook_likes'],\n", + " dtype='object')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movie_gross.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 http://www.imdb.com/title/tt0499549/?ref_=fn_t...\n", + "1 http://www.imdb.com/title/tt0449088/?ref_=fn_t...\n", + "2 http://www.imdb.com/title/tt2379713/?ref_=fn_t...\n", + "3 http://www.imdb.com/title/tt1345836/?ref_=fn_t...\n", + "4 http://www.imdb.com/title/tt5289954/?ref_=fn_t...\n", + "Name: movie_imdb_link, dtype: object" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# No tenemos el id, pero tenemos el link\n", + "movie_gross.movie_imdb_link.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "movie_gross['tconst'] = movie_gross.movie_imdb_link.apply(lambda x: x.split('/')[4])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# A priori solo nos interesa el tconst y el gross\n", + "\n", + "movie_gross = movie_gross[['tconst', 'gross']]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "movies = title_basics.merge(movie_gross, on='tconst')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(4926, 5043, 991934)" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checkeamos no perder datos\n", + "len(movies), len(movie_gross), len(title_basics)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# Perdemos un monton!!!!\n", + "\n", + "movies = title_basics.merge(movie_gross, on='tconst', how='left')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(992056, 5043, 991934)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(movies), len(movie_gross), len(title_basics)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tt3332064 3\n", + "tt2224026 3\n", + "tt0360717 3\n", + "tt0077651 3\n", + "tt1976009 3\n", + "tt0232500 3\n", + "tt2638144 3\n", + "tt0264935 2\n", + "tt0872230 2\n", + "tt0083767 2\n", + "Name: tconst, dtype: int64" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Pareciera haber repetidos en movie_gross....\n", + "\n", + "repeated = movie_gross.tconst.value_counts().sort_values(ascending=False).head(10)\n", + "repeated" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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tconstgross
4821tt007765147000000.0
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2492tt007765147000000.0
3370tt0083767NaN
430tt0083767NaN
100tt0232500144512310.0
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2049tt0360717218051260.0
1962tt087223014637490.0
3915tt087223014637490.0
2099tt19760095773519.0
1146tt19760095773519.0
1305tt19760095773519.0
4752tt2224026177343675.0
3010tt2224026177343675.0
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" + ], + "text/plain": [ + " tconst gross\n", + "4821 tt0077651 47000000.0\n", + "2619 tt0077651 47000000.0\n", + "2492 tt0077651 47000000.0\n", + "3370 tt0083767 NaN\n", + "430 tt0083767 NaN\n", + "100 tt0232500 144512310.0\n", + "395 tt0232500 144512310.0\n", + "1332 tt0232500 144512310.0\n", + "3654 tt0264935 31874869.0\n", + "998 tt0264935 31874869.0\n", + "4694 tt0360717 218051260.0\n", + "25 tt0360717 218051260.0\n", + "2049 tt0360717 218051260.0\n", + "1962 tt0872230 14637490.0\n", + "3915 tt0872230 14637490.0\n", + "2099 tt1976009 5773519.0\n", + "1146 tt1976009 5773519.0\n", + "1305 tt1976009 5773519.0\n", + "4752 tt2224026 177343675.0\n", + "3010 tt2224026 177343675.0" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movie_gross[movie_gross.tconst.isin(repeated.index.tolist())].sort_values('tconst').head(20)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "gross 1\n", + "dtype: int64" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Pareciera que los repetidos son repetidos de verdad. Vamos a hacer un ultimo check\n", + "\n", + "# Vemos la cantidad de valores distintos para \"gross\", para ver si hay valores diferentes\n", + "movie_gross.groupby('tconst').agg({'gross':'nunique'}).max()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# Vamos de deduplicar gross\n", + "\n", + "movie_gross = movie_gross.groupby('tconst').gross.max().reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(991934, 991934, 4919)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies = title_basics.merge(movie_gross, on='tconst', how='left')\n", + "\n", + "len(movies), len(title_basics), len(movie_gross)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Merge con ratings" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "title_ratings = pd.read_csv(PATH / 'title.ratings.tsv', sep='\\t')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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tconsttitleTypeprimaryTitleoriginalTitleisAdultstartYearendYearruntimeMinutesgenresgrossaverageRatingnumVotes
0tt0000009movieMiss JerryMiss Jerry01894\\N45.0RomanceNaN5.9154
1tt0000147movieThe Corbett-Fitzsimmons FightThe Corbett-Fitzsimmons Fight01897\\N20.0Documentary,News,SportNaN5.2356
2tt0000335movieSoldiers of the CrossSoldiers of the Cross01900\\NNaNBiography,DramaNaN6.141
3tt0000502movieBohemiosBohemios01905\\N100.0\\NNaN3.86
4tt0000574movieThe Story of the Kelly GangThe Story of the Kelly Gang01906\\N70.0Biography,Crime,DramaNaN6.1589
\n", + "
" + ], + "text/plain": [ + " tconst titleType primaryTitle \\\n", + "0 tt0000009 movie Miss Jerry \n", + "1 tt0000147 movie The Corbett-Fitzsimmons Fight \n", + "2 tt0000335 movie Soldiers of the Cross \n", + "3 tt0000502 movie Bohemios \n", + "4 tt0000574 movie The Story of the Kelly Gang \n", + "\n", + " originalTitle isAdult startYear endYear runtimeMinutes \\\n", + "0 Miss Jerry 0 1894 \\N 45.0 \n", + "1 The Corbett-Fitzsimmons Fight 0 1897 \\N 20.0 \n", + "2 Soldiers of the Cross 0 1900 \\N NaN \n", + "3 Bohemios 0 1905 \\N 100.0 \n", + "4 The Story of the Kelly Gang 0 1906 \\N 70.0 \n", + "\n", + " genres gross averageRating numVotes \n", + "0 Romance NaN 5.9 154 \n", + "1 Documentary,News,Sport NaN 5.2 356 \n", + "2 Biography,Drama NaN 6.1 41 \n", + "3 \\N NaN 3.8 6 \n", + "4 Biography,Crime,Drama NaN 6.1 589 " + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies_wr = movies.merge(title_ratings, on='tconst')\n", + "movies_wr.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(364335, 991934, 1071882)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checkeamos que no perdimos data en el join\n", + "len(movies_wr), len(movies), len(title_ratings)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "# Perdimos un monton de datos!!!!!!\n", + "# Ademas podemos ver que hay peliculas que tienen rating pero que no figuran en title_basics\n", + "# por ahora no hacemos nada con eso...\n", + "\n", + "movies_wr = movies.merge(title_ratings, on='tconst', how='left')" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(991934, 991934, 1071882)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(movies_wr), len(movies), len(title_ratings)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [], + "source": [ + "movies = movies_wr" + ] + }, + { + "attachments": { + "image.png": { + "image/png": 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469253tt12573178videoReumatikerförbundet fyller 70 år!Reumatikerförbundet fyller 70 år!02015\\N266.0Documentary,Talk-ShowNaNNaNNaN
565702tt1808299tvSpecialMelbourne Cup DayMelbourne Cup Day01988\\N520.0SportNaNNaNNaN
520331tt1495681videoBaby Got BoobsBaby Got Boobs12009\\N208.0AdultNaN6.56.0
811133tt5903740videoSuperiority ComplexSuperiority Complex12016\\N196.0AdultNaNNaNNaN
616874tt2278998videoEndogonidic TragedyTragedia Endogonidia02007\\N341.0DocumentaryNaNNaNNaN
326294tt0924443videoFunbag Fantasies 5Funbag Fantasies 512006\\N240.0AdultNaNNaNNaN
\n", + "
" + ], + "text/plain": [ + " tconst titleType primaryTitle \\\n", + "868725 tt7054670 video The Hottest Girls in Porn \n", + "797036 tt5625830 video A Gonzo Story: Whorehouse Virgin \n", + "503950 tt1377817 movie Welcome to New York \n", + "777591 tt5236714 tvMovie Alcina, Georg Friedrich Haendel \n", + "469253 tt12573178 video Reumatikerförbundet fyller 70 år! \n", + "565702 tt1808299 tvSpecial Melbourne Cup Day \n", + "520331 tt1495681 video Baby Got Boobs \n", + "811133 tt5903740 video Superiority Complex \n", + "616874 tt2278998 video Endogonidic Tragedy \n", + "326294 tt0924443 video Funbag Fantasies 5 \n", + "\n", + " originalTitle isAdult startYear endYear \\\n", + "868725 The Hottest Girls in Porn 1 2017 \\N \n", + "797036 A Gonzo Story: Whorehouse Virgin 1 2016 \\N \n", + "503950 Welcome to New York 0 2005 \\N \n", + "777591 Alcina, Georg Friedrich Haendel 0 2015 \\N \n", + "469253 Reumatikerförbundet fyller 70 år! 0 2015 \\N \n", + "565702 Melbourne Cup Day 0 1988 \\N \n", + "520331 Baby Got Boobs 1 2009 \\N \n", + "811133 Superiority Complex 1 2016 \\N \n", + "616874 Tragedia Endogonidia 0 2007 \\N \n", + "326294 Funbag Fantasies 5 1 2006 \\N \n", + "\n", + " runtimeMinutes genres gross averageRating numVotes \n", + "868725 340.0 Adult NaN 5.4 5.0 \n", + "797036 184.0 Adult NaN NaN NaN \n", + "503950 950.0 Comedy NaN NaN NaN \n", + "777591 193.0 Drama,Horror,Musical NaN 8.1 10.0 \n", + "469253 266.0 Documentary,Talk-Show NaN NaN NaN \n", + "565702 520.0 Sport NaN NaN NaN \n", + "520331 208.0 Adult NaN 6.5 6.0 \n", + "811133 196.0 Adult NaN NaN NaN \n", + "616874 341.0 Documentary NaN NaN NaN \n", + "326294 240.0 Adult NaN NaN NaN " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies[movies.runtimeMinutes > 3 * 60].sample(10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Parece haber mucho de adultos**" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(9066, 4064, 0.4482682550187514)" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "n_long_adult = movies[movies.runtimeMinutes > 3 * 60].genres.apply(lambda x: 'Adult' in x).sum()\n", + "n_long = (movies.runtimeMinutes > 3 * 60).sum()\n", + "\n", + "n_long, n_long_adult, n_long_adult / n_long" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Parece que no tienen data de gross**" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9962497242444297" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies[movies.runtimeMinutes > 3 * 60].gross.isna().sum() / n_long" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9847324372305352" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# idem para 2 horas\n", + "movies[movies.runtimeMinutes > 2 * 60].gross.isna().sum() / (movies.runtimeMinutes > 2 * 60).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "movies = movies[movies.runtimeMinutes <= 2 * 60].copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "movies.runtimeMinutes.hist(bins=30);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sigue habiendo duraciones muy cortas!!! \n", + "\n", + "Veamos a ver si alguna otra columna nos da una pista" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Genres" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "from itertools import chain\n", + "from collections import Counter\n", + "\n", + "def parse_genres(genres):\n", + " if isinstance(genres, float) or genres == r'\\N': return ['no-genre']\n", + " else: return genres.split(',')\n", + " \n", + "\n", + "movies['genres'] = movies.genres.apply(parse_genres)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Counter({'Romance': 34458,\n", + " 'Documentary': 137983,\n", + " 'News': 5521,\n", + " 'Sport': 8305,\n", + " 'no-genre': 29089,\n", + " 'Biography': 17905,\n", + " 'Crime': 28723,\n", + " 'Drama': 157279,\n", + " 'Adventure': 23924,\n", + " 'Fantasy': 12931,\n", + " 'Family': 20096,\n", + " 'War': 7212,\n", + " 'History': 14041,\n", + " 'Western': 5266,\n", + " 'Thriller': 25848,\n", + " 'Comedy': 101248,\n", + " 'Mystery': 13509,\n", + " 'Horror': 25005,\n", + " 'Action': 32379,\n", + " 'Music': 70732,\n", + " 'Sci-Fi': 9936,\n", + " 'Animation': 13507,\n", + " 'Musical': 8844,\n", + " 'Film-Noir': 762,\n", + " 'Adult': 44273,\n", + " 'Reality-TV': 1480,\n", + " 'Short': 98804,\n", + " 'Talk-Show': 1736,\n", + " 'Game-Show': 364})" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Counter(chain(*movies.genres.tolist()))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Hay varios Short, no debería!**\n", + "\n", + "A ver cual es la duracion..." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "movies[movies.genres.apply(lambda x: 'Short' in x)].runtimeMinutes.hist(bins=30);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "🚀" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "movies = movies[movies.genres.apply(lambda x: 'Short' not in x)]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "movies.runtimeMinutes.hist(bins=30);" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "movie 46335\n", + "tvMovie 30296\n", + "video 18805\n", + "tvSpecial 3207\n", + "Name: titleType, dtype: int64" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "movies[movies.runtimeMinutes < 60].titleType.value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Chau video, tvSpecial y tvMovie" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "movies = movies[~movies.titleType.isin(['video', 'tvSpecial', 'tvMovie'])]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "movies.runtimeMinutes.hist(bins=30);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## [Cuanto dura un largometraje??](https://www.google.com/search?q=cuanto+dura+un+largometraje&oq=cuanto+dura+un+largometraje&aqs=chrome..69i57.3779j0j7&sourceid=chrome&ie=UTF-8)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "movies = movies[movies.runtimeMinutes >= 60]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Se te ocurre algun otro check para hacer??" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/clase-1/02_explore_the_data.ipynb b/notebooks/clase-1/02_explore_the_data.ipynb index de3bdbc..bd84721 100644 --- a/notebooks/clase-1/02_explore_the_data.ipynb +++ b/notebooks/clase-1/02_explore_the_data.ipynb @@ -9,18 +9,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'google'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mdrive\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mdrive\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'/content/my drive'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'google'" + ] + } + ], "source": [ "from google.colab import drive\n", "\n", - "drive.mount('/content/gdrive')" + "drive.mount('/content/my drive')" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -33,23 +45,18 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, + "execution_count": 4, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { "text/plain": [ - "[PosixPath('../data/aclImdb_v1.tar'),\n", - " PosixPath('../data/title.ratings.tsv'),\n", - " PosixPath('../data/movie_gross.csv'),\n", - " PosixPath('../data/title.principals.tsv'),\n", - " PosixPath('../data/title.akas.tsv'),\n", - " PosixPath('../data/name.basics.tsv'),\n", - " PosixPath('../data/title.basics.tsv'),\n", - " PosixPath('../data/title.crew.tsv')]" + "[]" ] }, - "execution_count": 2, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -69,28 +76,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/przivic/anaconda3/lib/python3.8/site-packages/IPython/core/interactiveshell.py:3071: DtypeWarning: Columns (5) have mixed types.Specify dtype option on import or set low_memory=False.\n", - " has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n" - ] - }, - { - "data": { - "text/plain": [ - "7156880" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "import pandas as pd\n", "\n", @@ -2538,7 +2526,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -2567,18 +2554,6 @@ "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": "3.8.3" } }, "nbformat": 4, diff --git a/notebooks/practico-1/.ipynb_checkpoints/01-aprendizaje_supervisado-checkpoint.ipynb b/notebooks/practico-1/.ipynb_checkpoints/01-aprendizaje_supervisado-checkpoint.ipynb new file mode 100644 index 0000000..8fd131d --- /dev/null +++ b/notebooks/practico-1/.ipynb_checkpoints/01-aprendizaje_supervisado-checkpoint.ipynb @@ -0,0 +1,852 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.datasets import load_wine\n", + "X, y = load_wine(as_frame=True, return_X_y=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " alcohol malic_acid ash alcalinity_of_ash magnesium total_phenols \\\n", + "0 14.23 1.71 2.43 15.6 127.0 2.80 \n", + "1 13.20 1.78 2.14 11.2 100.0 2.65 \n", + "2 13.16 2.36 2.67 18.6 101.0 2.80 \n", + "3 14.37 1.95 2.50 16.8 113.0 3.85 \n", + "4 13.24 2.59 2.87 21.0 118.0 2.80 \n", + "\n", + " flavanoids nonflavanoid_phenols proanthocyanins color_intensity hue \\\n", + "0 3.06 0.28 2.29 5.64 1.04 \n", + "1 2.76 0.26 1.28 4.38 1.05 \n", + "2 3.24 0.30 2.81 5.68 1.03 \n", + "3 3.49 0.24 2.18 7.80 0.86 \n", + "4 2.69 0.39 1.82 4.32 1.04 \n", + "\n", + " od280/od315_of_diluted_wines proline \n", + "0 3.92 1065.0 \n", + "1 3.40 1050.0 \n", + "2 3.17 1185.0 \n", + "3 3.45 1480.0 \n", + "4 2.93 735.0 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "# Convertimos el problema a clasificacion binaria\n", + "# Para mentimos un poquito y cambiamos todas las clases \"2\" por clases \"0\"\n", + "\n", + "y[y == 2] = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DecisionTreeClassifier(criterion='entropy', max_depth=2)" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.tree import DecisionTreeClassifier, plot_tree\n", + "\n", + "# Juga con max_depth!\n", + "dt = DecisionTreeClassifier(criterion='entropy', max_depth=2) \n", + "dt.fit(X, y)" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(15,8))\n", + "plot_tree(dt, feature_names=X.columns);" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Vemos como se ven las distribuciones de las features en cada clase\n", + "# Con esto podemos darnos una idea de por qué el decision tree prioriza una por sobre la otra\n", + "\n", + "for col in X.columns:\n", + " col_vals = []\n", + " for y_val in [0, 1]:\n", + " col_vals.append(X[col][y == y_val])\n", + "\n", + " plt.figure()\n", + " plt.title(col)\n", + " plt.boxplot(col_vals)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Miremos algunas metricas\n", + "\n", + "Aprovechemos para jugar y ver como cambiar el max_depth mas arriba impacta en las metricas" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import precision_score, recall_score, roc_curve, roc_auc_score, f1_score" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "preds = dt.predict(X)\n", + "\n", + "preds[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.873015873015873" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f1_score(y, dt.predict(X))" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prec = precision_score(y, dt.predict(X))\n", + "prec" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.7746478873239436" + ] + }, + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rec = recall_score(y, dt.predict(X))\n", + "rec" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.873015873015873" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Solo para ver, efectivamente f1 es la ecuacion que vimos en clase?\n", + "\n", + "2 * prec * rec / (prec + rec)" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [], + "source": [ + "y_score = dt.predict_proba(X)[:, 1]\n", + "fpr, tpr, thresholds = roc_curve(y, y_score)" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{0.0, 0.2962962962962963, 1.0}" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# El decision tree tiene pocos scores (tantos scores como hojas)\n", + "# Podes ver que los scores se pueden calcular a partir del vector que dice \"values\" en la visualizacion mas arriba\n", + "\n", + "set(y_score)" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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aA3wd+IdlHHPo9nf7m8D7kqxI8irg3cDTizxnn7rs+QST/4+EJG8E1gPHF3XKxdV7v67YO/S6gj6cerF03PNngNcDX566Yz1fy/gn1XXcc1O67Lmqnk7yHeAp4CXgoaqa9eVvy0HHP+fPAQ8nOczk0xH3VtWy/bG6Sb4G3AysSnIS+CxwDSxcv3zrvyQ14kp+ykWSNA8GXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqRH/D0OsK632zI9ZAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Miramos la curva ROC\n", + "\n", + "plt.plot(fpr, tpr, '-o')" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.8873239436619718" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "roc_auc_score(y, y_score)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "👆 cual es la probabilidad de ordenar bien 2 ejemplos al azar\n", + "\n", + "score(ejemplo1) > score(ejemplo2) \n", + "\n", + "y_1 = 1, y_2 = 0\n", + "\n", + "Ver http://madrury.github.io/jekyll/update/statistics/2017/06/21/auc-proof.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Regresion logística" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/przivic/anaconda3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:760: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", + "\n", + "Increase the number of iterations (max_iter) or scale the data as shown in:\n", + " https://scikit-learn.org/stable/modules/preprocessing.html\n", + "Please also refer to the documentation for alternative solver options:\n", + " https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n", + " n_iter_i = _check_optimize_result(\n" + ] + } + ], + "source": [ + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "lr = LogisticRegression()\n", + "lr.fit(X, y); " + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "preds = lr.predict(X)" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9436619718309859" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f1_score(y, preds)" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9436619718309859" + ] + }, + "execution_count": 105, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prec = precision_score(y, preds)\n", + "prec" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9436619718309859" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rec = recall_score(y, preds)\n", + "rec" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9436619718309859" + ] + }, + "execution_count": 107, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "2 * prec * rec / (prec + rec)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "metadata": {}, + "outputs": [], + "source": [ + "import seaborn as sns\n", + "\n", + "y_score = lr.predict_proba(X)[:, 1]\n", + "fpr, tpr, thresholds = roc_curve(y, y_score)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(fpr, tpr, '-o')" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.8873239436619718" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "roc_auc_score(y, y_score)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/practico-1/01-aprendizaje_supervisado.ipynb b/notebooks/practico-1/01-aprendizaje_supervisado.ipynb index 6ca58f0..5ae9d65 100644 --- a/notebooks/practico-1/01-aprendizaje_supervisado.ipynb +++ b/notebooks/practico-1/01-aprendizaje_supervisado.ipynb @@ -2,19 +2,27 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import load_wine\n", - "\n", - "X, y = load_wine(as_frame=True, return_X_y=True)" + "load_wine?\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, + "outputs": [], + "source": [ + "X, y = load_wine(as_frame=True, return_X_y=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, "outputs": [ { "data": { @@ -160,7 +168,7 @@ "4 2.93 735.0 " ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -171,7 +179,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -183,7 +191,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -192,7 +200,7 @@ "DecisionTreeClassifier(criterion='entropy', max_depth=2)" ] }, - "execution_count": 135, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -207,12 +215,12 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -232,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 17, "metadata": { "scrolled": false }, @@ -419,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -641,14 +649,14 @@ }, { "cell_type": "code", - "execution_count": 102, + "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/przivic/anaconda3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:760: ConvergenceWarning: lbfgs failed to converge (status=1):\n", + "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:762: ConvergenceWarning: lbfgs failed to converge (status=1):\n", "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n", "\n", "Increase the number of iterations (max_iter) or scale the data as shown in:\n", @@ -759,7 +767,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -771,22 +779,22 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 111, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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