diff --git a/your-code/LAB Import and Export Files.ipynb b/your-code/LAB Import and Export Files.ipynb new file mode 100644 index 0000000..79684a6 --- /dev/null +++ b/your-code/LAB Import and Export Files.ipynb @@ -0,0 +1,13612 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Import and Export Files \n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 0 - Accessing our database\n", + "Create a connection to access the sakila database with the ip, user and password provided in class. Take a look at the data. Do some joins in order to have more elaborated tables in a dataframe (you can try first the query in the DBMS and then use it in your notebook)." + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "import mysql.connector #whenever we want to make a connector\n", + "from getpass import getpass\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "········\n" + ] + } + ], + "source": [ + "cnx = mysql.connector.connect(user = \"root\",\n", + " password = getpass(),\n", + " host = \"localhost\",\n", + " database = \"sakila\")" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cnx.is_connected()" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "cursor = cnx.cursor()" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[(1,\n", + " datetime.datetime(2005, 5, 24, 22, 53, 30),\n", + " 367,\n", + " 130,\n", + " datetime.datetime(2005, 5, 26, 22, 4, 30),\n", + " 1,\n", + " datetime.datetime(2006, 2, 15, 21, 30, 53)),\n", + " (2,\n", + " datetime.datetime(2005, 5, 24, 22, 54, 33),\n", + " 1525,\n", + " 459,\n", + " datetime.datetime(2005, 5, 28, 19, 40, 33),\n", + " 1,\n", + " datetime.datetime(2006, 2, 15, 21, 30, 53)),\n", + " (3,\n", + " datetime.datetime(2005, 5, 24, 23, 3, 39),\n", + " 1711,\n", + " 408,\n", + " datetime.datetime(2005, 6, 1, 22, 12, 39),\n", + " 1,\n", + " datetime.datetime(2006, 2, 15, 21, 30, 53)),\n", + " (4,\n", + " datetime.datetime(2005, 5, 24, 23, 4, 41),\n", + " 2452,\n", + " 333,\n", + " 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datetime.datetime(2005, 5, 31, 0, 25, 56),\n", + " 1774,\n", + " 332,\n", + " datetime.datetime(2005, 6, 8, 19, 42, 56),\n", + " 2,\n", + " datetime.datetime(2006, 2, 15, 21, 30, 53)),\n", + " (1001,\n", + " datetime.datetime(2005, 5, 31, 0, 46, 31),\n", + " 1498,\n", + " 64,\n", + " datetime.datetime(2005, 6, 6, 6, 14, 31),\n", + " 2,\n", + " datetime.datetime(2006, 2, 15, 21, 30, 53)),\n", + " ...]" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "query = (\"\"\"SELECT * FROM sakila.rental;\"\"\")\n", + "\n", + "cursor.execute(query)\n", + "\n", + "results = cursor.fetchall()\n", + "\n", + "results" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(4863,\n", + " datetime.datetime(2005, 7, 8, 19, 3, 15),\n", + " datetime.datetime(2005, 7, 11, 21, 29, 15),\n", + " 'JOEL',\n", + " 'FRANCISCO',\n", + " 'ACADEMY DINOSAUR'),\n", + " (11433,\n", + 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'MAULDIN',\n", + " 'ALONE TRIP'),\n", + " (12988,\n", + " datetime.datetime(2006, 2, 14, 15, 16, 3),\n", + " None,\n", + " 'MARCIA',\n", + " 'DEAN',\n", + " 'ALONE TRIP'),\n", + " (4612,\n", + " datetime.datetime(2005, 7, 8, 7, 40, 44),\n", + " datetime.datetime(2005, 7, 12, 3, 48, 44),\n", + " 'BILLY',\n", + " 'POULIN',\n", + " 'ALONE TRIP'),\n", + " (10470,\n", + " datetime.datetime(2005, 8, 1, 9, 52, 26),\n", + " datetime.datetime(2005, 8, 5, 6, 52, 26),\n", + " 'HARVEY',\n", + " 'GUAJARDO',\n", + " 'ALONE TRIP'),\n", + " (14585,\n", + " datetime.datetime(2005, 8, 21, 17, 18, 33),\n", + " datetime.datetime(2005, 8, 26, 11, 36, 33),\n", + " 'MELISSA',\n", + " 'KING',\n", + " 'ALONE TRIP'),\n", + " (8271,\n", + " datetime.datetime(2005, 7, 29, 1, 27, 44),\n", + " datetime.datetime(2005, 8, 7, 5, 1, 44),\n", + " 'HERMAN',\n", + " 'DEVORE',\n", + " 'ALONE TRIP'),\n", + " (13606,\n", + " datetime.datetime(2005, 8, 20, 6, 7, 1),\n", + " datetime.datetime(2005, 8, 27, 4, 59, 1),\n", + " 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(664,\n", + " datetime.datetime(2005, 5, 28, 21, 31, 8),\n", + " datetime.datetime(2005, 6, 2, 20, 56, 8),\n", + " 'HARVEY',\n", + " 'GUAJARDO',\n", + " 'ALTER VICTORY'),\n", + " (1985,\n", + " datetime.datetime(2005, 6, 17, 10, 31, 37),\n", + " datetime.datetime(2005, 6, 22, 11, 17, 37),\n", + " 'NORMAN',\n", + " 'CURRIER',\n", + " 'ALTER VICTORY'),\n", + " (6563,\n", + " datetime.datetime(2005, 7, 12, 5, 34, 9),\n", + " datetime.datetime(2005, 7, 21, 7, 37, 9),\n", + " 'BARRY',\n", + " 'LOVELACE',\n", + " 'ALTER VICTORY'),\n", + " (7637,\n", + " datetime.datetime(2005, 7, 28, 1, 12, 25),\n", + " datetime.datetime(2005, 8, 2, 3, 48, 25),\n", + " 'LOIS',\n", + " 'BUTLER',\n", + " 'ALTER VICTORY'),\n", + " (14002,\n", + " datetime.datetime(2005, 8, 20, 20, 12, 19),\n", + " datetime.datetime(2005, 8, 23, 0, 23, 19),\n", + " 'ANNA',\n", + " 'HILL',\n", + " 'ALTER VICTORY'),\n", + " (781,\n", + " datetime.datetime(2005, 5, 29, 14, 23, 58),\n", + " datetime.datetime(2005, 5, 30, 17, 44, 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datetime.datetime(2005, 7, 29, 14, 48, 48),\n", + " datetime.datetime(2005, 8, 3, 18, 11, 48),\n", + " 'MICHAEL',\n", + " 'SILVERMAN',\n", + " 'ALTER VICTORY'),\n", + " (14418,\n", + " datetime.datetime(2005, 8, 21, 11, 14, 26),\n", + " datetime.datetime(2005, 8, 28, 8, 34, 26),\n", + " 'LEROY',\n", + " 'BUSTAMANTE',\n", + " 'ALTER VICTORY'),\n", + " (7981,\n", + " datetime.datetime(2005, 7, 28, 14, 18, 25),\n", + " datetime.datetime(2005, 8, 4, 15, 21, 25),\n", + " 'SEAN',\n", + " 'DOUGLASS',\n", + " 'ALTER VICTORY'),\n", + " (12317,\n", + " datetime.datetime(2005, 8, 18, 6, 17, 6),\n", + " datetime.datetime(2005, 8, 22, 8, 56, 6),\n", + " 'BEN',\n", + " 'EASTER',\n", + " 'ALTER VICTORY'),\n", + " (2585,\n", + " datetime.datetime(2005, 6, 19, 5, 5, 3),\n", + " datetime.datetime(2005, 6, 20, 9, 28, 3),\n", + " 'NATHAN',\n", + " 'RUNYON',\n", + " 'ALTER VICTORY'),\n", + " (4313,\n", + " datetime.datetime(2005, 7, 7, 17, 36, 56),\n", + " datetime.datetime(2005, 7, 13, 12, 0, 56),\n", + " 'ANGELA',\n", + " 'HERNANDEZ',\n", + " 'ALTER VICTORY'),\n", + " (9504,\n", + " datetime.datetime(2005, 7, 31, 0, 9, 7),\n", + " datetime.datetime(2005, 8, 2, 5, 44, 7),\n", + " 'ETHEL',\n", + " 'WEBB',\n", + " 'ALTER VICTORY'),\n", + " (15217,\n", + " datetime.datetime(2005, 8, 22, 16, 58, 31),\n", + " datetime.datetime(2005, 8, 23, 22, 33, 31),\n", + " 'RUBY',\n", + " 'WASHINGTON',\n", + " 'ALTER VICTORY'),\n", + " (5343,\n", + " datetime.datetime(2005, 7, 9, 17, 23, 43),\n", + " datetime.datetime(2005, 7, 18, 22, 14, 43),\n", + " 'CLYDE',\n", + " 'TOBIAS',\n", + " 'ALTER VICTORY'),\n", + " (7652,\n", + " datetime.datetime(2005, 7, 28, 1, 50, 29),\n", + " datetime.datetime(2005, 7, 30, 22, 23, 29),\n", + " 'ELIZABETH',\n", + " 'BROWN',\n", + " 'ALTER VICTORY'),\n", + " (13417,\n", + " datetime.datetime(2005, 8, 19, 22, 51, 39),\n", + " datetime.datetime(2005, 8, 23, 3, 34, 39),\n", + " 'TIM',\n", + " 'CARY',\n", + " 'ALTER VICTORY'),\n", + " (10895,\n", + " datetime.datetime(2005, 8, 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'AMADEUS HOLY'),\n", + " (588,\n", + " datetime.datetime(2005, 5, 28, 12, 8, 37),\n", + " datetime.datetime(2005, 5, 29, 16, 25, 37),\n", + " 'JULIA',\n", + " 'FLORES',\n", + " 'AMADEUS HOLY'),\n", + " (2867,\n", + " datetime.datetime(2005, 6, 20, 0, 8, 38),\n", + " datetime.datetime(2005, 6, 23, 19, 35, 38),\n", + " 'VERNON',\n", + " 'CHAPA',\n", + " 'AMADEUS HOLY'),\n", + " (6030,\n", + " datetime.datetime(2005, 7, 11, 2, 37, 51),\n", + " datetime.datetime(2005, 7, 16, 22, 34, 51),\n", + " 'KATHLEEN',\n", + " 'ADAMS',\n", + " 'AMADEUS HOLY'),\n", + " (7788,\n", + " datetime.datetime(2005, 7, 28, 7, 21, 55),\n", + " datetime.datetime(2005, 8, 3, 6, 33, 55),\n", + " 'HECTOR',\n", + " 'POINDEXTER',\n", + " 'AMADEUS HOLY'),\n", + " (14310,\n", + " datetime.datetime(2005, 8, 21, 7, 44, 32),\n", + " datetime.datetime(2005, 8, 22, 9, 2, 32),\n", + " 'SAMANTHA',\n", + " 'DUNCAN',\n", + " 'AMADEUS HOLY'),\n", + " (10509,\n", + " datetime.datetime(2005, 8, 1, 11, 25, 28),\n", + " 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" 'ESTHER',\n", + " 'CRAWFORD',\n", + " 'AMELIE HELLFIGHTERS'),\n", + " (7946,\n", + " datetime.datetime(2005, 7, 28, 13, 1, 22),\n", + " datetime.datetime(2005, 8, 3, 15, 27, 22),\n", + " 'RUBY',\n", + " 'WASHINGTON',\n", + " 'AMELIE HELLFIGHTERS'),\n", + " (12052,\n", + " datetime.datetime(2005, 8, 17, 20, 57, 2),\n", + " datetime.datetime(2005, 8, 25, 19, 4, 2),\n", + " 'FERNANDO',\n", + " 'CHURCHILL',\n", + " 'AMELIE HELLFIGHTERS'),\n", + " (2036,\n", + " datetime.datetime(2005, 6, 17, 13, 46, 52),\n", + " datetime.datetime(2005, 6, 18, 15, 42, 52),\n", + " 'GLEN',\n", + " 'TALBERT',\n", + " 'AMELIE HELLFIGHTERS'),\n", + " (4790,\n", + " datetime.datetime(2005, 7, 8, 16, 25, 27),\n", + " datetime.datetime(2005, 7, 11, 11, 35, 27),\n", + " 'REGINALD',\n", + " 'KINDER',\n", + " 'AMELIE HELLFIGHTERS'),\n", + " (8963,\n", + " datetime.datetime(2005, 7, 30, 3, 46, 26),\n", + " datetime.datetime(2005, 8, 8, 6, 12, 26),\n", + " 'CODY',\n", + " 'NOLEN',\n", + " 'AMELIE HELLFIGHTERS'),\n", 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datetime.datetime(2005, 7, 14, 6, 12, 23),\n", + " 'BILLY',\n", + " 'POULIN',\n", + " 'AMERICAN CIRCUS'),\n", + " (10757,\n", + " datetime.datetime(2005, 8, 1, 20, 22, 44),\n", + " datetime.datetime(2005, 8, 4, 19, 48, 44),\n", + " 'MELANIE',\n", + " 'ARMSTRONG',\n", + " 'AMERICAN CIRCUS'),\n", + " (14908,\n", + " datetime.datetime(2005, 8, 22, 4, 44, 10),\n", + " datetime.datetime(2005, 8, 25, 5, 9, 10),\n", + " 'JOE',\n", + " 'GILLILAND',\n", + " 'AMERICAN CIRCUS'),\n", + " (135,\n", + " datetime.datetime(2005, 5, 25, 21, 58, 58),\n", + " datetime.datetime(2005, 6, 3, 17, 50, 58),\n", + " 'DAVID',\n", + " 'ROYAL',\n", + " 'AMERICAN CIRCUS'),\n", + " (2803,\n", + " datetime.datetime(2005, 6, 19, 19, 18, 27),\n", + " datetime.datetime(2005, 6, 27, 21, 48, 27),\n", + " 'SYLVIA',\n", + " 'ORTIZ',\n", + " 'AMERICAN CIRCUS'),\n", + " (6793,\n", + " datetime.datetime(2005, 7, 12, 16, 37, 55),\n", + " datetime.datetime(2005, 7, 21, 16, 4, 55),\n", + " 'ELEANOR',\n", + " 'HUNT',\n", + " 'AMERICAN CIRCUS'),\n", + " (9374,\n", + " datetime.datetime(2005, 7, 30, 19, 10, 3),\n", + " datetime.datetime(2005, 8, 6, 21, 54, 3),\n", + " 'MICHAEL',\n", + " 'SILVERMAN',\n", + " 'AMERICAN CIRCUS'),\n", + " (15643,\n", + " datetime.datetime(2005, 8, 23, 8, 13, 26),\n", + " datetime.datetime(2005, 8, 25, 5, 18, 26),\n", + " 'ERIKA',\n", + " 'PENA',\n", + " 'AMERICAN CIRCUS'),\n", + " (4050,\n", + " datetime.datetime(2005, 7, 7, 3, 35, 33),\n", + " datetime.datetime(2005, 7, 15, 3, 11, 33),\n", + " 'CLAUDE',\n", + " 'HERZOG',\n", + " 'AMERICAN CIRCUS'),\n", + " (10871,\n", + " datetime.datetime(2005, 8, 2, 0, 27, 24),\n", + " datetime.datetime(2005, 8, 5, 6, 25, 24),\n", + " 'TAMMY',\n", + " 'SANDERS',\n", + " 'AMERICAN CIRCUS'),\n", + " (12667,\n", + " datetime.datetime(2005, 8, 18, 19, 11, 45),\n", + " datetime.datetime(2005, 8, 27, 13, 34, 45),\n", + " 'JULIO',\n", + " 'NOLAND',\n", + " 'AMERICAN CIRCUS'),\n", + " (1940,\n", + " datetime.datetime(2005, 6, 17, 7, 42, 22),\n", + " datetime.datetime(2005, 6, 22, 11, 59, 22),\n", + " 'JIM',\n", + " 'REA',\n", + " 'AMERICAN CIRCUS'),\n", + " (6153,\n", + " datetime.datetime(2005, 7, 11, 9, 31, 4),\n", + " datetime.datetime(2005, 7, 19, 3, 41, 4),\n", + " 'FRANCES',\n", + " 'PARKER',\n", + " 'AMERICAN CIRCUS'),\n", + " (11257,\n", + " datetime.datetime(2005, 8, 2, 13, 45, 5),\n", + " datetime.datetime(2005, 8, 11, 16, 37, 5),\n", + " 'TIM',\n", + " 'CARY',\n", + " 'AMERICAN CIRCUS'),\n", + " (12755,\n", + " datetime.datetime(2005, 8, 18, 22, 38, 47),\n", + " datetime.datetime(2005, 8, 22, 23, 58, 47),\n", + " 'ALEXANDER',\n", + " 'FENNELL',\n", + " 'AMERICAN CIRCUS'),\n", + " (3732,\n", + " datetime.datetime(2005, 7, 6, 11, 33, 37),\n", + " datetime.datetime(2005, 7, 8, 8, 31, 37),\n", + " 'BRIAN',\n", + " 'WYMAN',\n", + " 'AMERICAN CIRCUS'),\n", + " (9050,\n", + " datetime.datetime(2005, 7, 30, 6, 59, 55),\n", + " datetime.datetime(2005, 8, 6, 6, 37, 55),\n", + " 'AMANDA',\n", + " 'CARTER',\n", + " 'AMERICAN 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49),\n", + " 'MARY',\n", + " 'SMITH',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (13964,\n", + " datetime.datetime(2005, 8, 20, 18, 24, 26),\n", + " datetime.datetime(2005, 8, 21, 21, 19, 26),\n", + " 'MARJORIE',\n", + " 'TUCKER',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (2923,\n", + " datetime.datetime(2005, 6, 20, 4, 16, 7),\n", + " datetime.datetime(2005, 6, 21, 5, 4, 7),\n", + " 'ANGELA',\n", + " 'HERNANDEZ',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (6452,\n", + " datetime.datetime(2005, 7, 12, 0, 57, 31),\n", + " datetime.datetime(2005, 7, 14, 20, 41, 31),\n", + " 'CRAIG',\n", + " 'MORRELL',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (7202,\n", + " datetime.datetime(2005, 7, 27, 9, 0, 20),\n", + " datetime.datetime(2005, 8, 4, 3, 9, 20),\n", + " 'JORDAN',\n", + " 'ARCHULETA',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (14346,\n", + " datetime.datetime(2005, 8, 21, 8, 42, 26),\n", + " datetime.datetime(2005, 8, 23, 9, 18, 26),\n", + " 'DONNA',\n", + " 'THOMPSON',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (1987,\n", + " datetime.datetime(2005, 6, 17, 10, 40, 36),\n", + " datetime.datetime(2005, 6, 23, 14, 23, 36),\n", + " 'ZACHARY',\n", + " 'HITE',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (5106,\n", + " datetime.datetime(2005, 7, 9, 6, 40, 24),\n", + " datetime.datetime(2005, 7, 13, 10, 28, 24),\n", + " 'RHONDA',\n", + " 'KENNEDY',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (10317,\n", + " datetime.datetime(2005, 8, 1, 4, 35, 34),\n", + " datetime.datetime(2005, 8, 6, 2, 27, 34),\n", + " 'IAN',\n", + " 'STILL',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (15221,\n", + " datetime.datetime(2005, 8, 22, 17, 12, 29),\n", + " datetime.datetime(2005, 8, 24, 20, 46, 29),\n", + " 'TERRY',\n", + " 'CARLSON',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (7829,\n", + " datetime.datetime(2005, 7, 28, 8, 43, 39),\n", + " datetime.datetime(2005, 8, 4, 14, 33, 39),\n", + " 'ELIZABETH',\n", + " 'BROWN',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (13201,\n", + " datetime.datetime(2005, 8, 19, 14, 56, 5),\n", + " datetime.datetime(2005, 8, 25, 14, 37, 5),\n", + " 'MILTON',\n", + " 'HOWLAND',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (10105,\n", + " datetime.datetime(2005, 7, 31, 20, 54, 20),\n", + " datetime.datetime(2005, 8, 9, 17, 45, 20),\n", + " 'VELMA',\n", + " 'LUCAS',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (14915,\n", + " datetime.datetime(2006, 2, 14, 15, 16, 3),\n", + " None,\n", + " 'JOE',\n", + " 'GILLILAND',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (5619,\n", + " datetime.datetime(2005, 7, 10, 5, 29, 33),\n", + " datetime.datetime(2005, 7, 15, 0, 40, 33),\n", + " 'ROSEMARY',\n", + " 'SCHMIDT',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (9623,\n", + " datetime.datetime(2005, 7, 31, 4, 30, 2),\n", + " datetime.datetime(2005, 8, 6, 23, 34, 2),\n", + " 'RALPH',\n", + " 'MADRIGAL',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (13281,\n", + " datetime.datetime(2005, 8, 19, 18, 7, 47),\n", + " datetime.datetime(2005, 8, 20, 21, 51, 47),\n", + " 'CHARLENE',\n", + " 'ALVAREZ',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (10349,\n", + " datetime.datetime(2005, 8, 1, 5, 27, 13),\n", + " datetime.datetime(2005, 8, 8, 10, 15, 13),\n", + " 'DAISY',\n", + " 'BATES',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (12532,\n", + " datetime.datetime(2005, 8, 18, 13, 57, 58),\n", + " datetime.datetime(2005, 8, 24, 14, 58, 58),\n", + " 'VIVIAN',\n", + " 'RUIZ',\n", + " 'AMISTAD MIDSUMMER'),\n", + " (1364,\n", + " datetime.datetime(2005, 6, 15, 14, 5, 32),\n", + " datetime.datetime(2005, 6, 16, 15, 31, 32),\n", + " 'BRYAN',\n", + " 'HARDISON',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (4818,\n", + " datetime.datetime(2005, 7, 8, 17, 18, 22),\n", + " datetime.datetime(2005, 7, 14, 14, 40, 22),\n", + " 'CLARA',\n", + " 'SHAW',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (7837,\n", + " datetime.datetime(2005, 7, 28, 8, 58, 32),\n", + " datetime.datetime(2005, 7, 29, 14, 11, 32),\n", + " 'JEREMY',\n", + " 'HURTADO',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (14026,\n", + " datetime.datetime(2005, 8, 20, 21, 21, 8),\n", + " datetime.datetime(2005, 8, 22, 23, 19, 8),\n", + " 'GEORGIA',\n", + " 'JACOBS',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (1726,\n", + " datetime.datetime(2005, 6, 16, 15, 19, 10),\n", + " datetime.datetime(2005, 6, 25, 11, 39, 10),\n", + " 'LINDA',\n", + " 'WILLIAMS',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (4361,\n", + " datetime.datetime(2005, 7, 7, 19, 33, 23),\n", + " datetime.datetime(2005, 7, 12, 22, 36, 23),\n", + " 'FRANCIS',\n", + " 'SIKES',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (7921,\n", + " datetime.datetime(2005, 7, 28, 12, 2, 46),\n", + " datetime.datetime(2005, 8, 1, 12, 8, 46),\n", + " 'ROBIN',\n", + " 'HAYES',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (2249,\n", + " datetime.datetime(2005, 6, 18, 5, 3, 8),\n", + " datetime.datetime(2005, 6, 26, 5, 43, 8),\n", + " 'MIRIAM',\n", + " 'MCKINNEY',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (3485,\n", + " datetime.datetime(2005, 7, 5, 23, 25, 54),\n", + " datetime.datetime(2005, 7, 9, 17, 38, 54),\n", + " 'CARMEN',\n", + " 'OWENS',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (10866,\n", + " datetime.datetime(2005, 8, 2, 0, 22, 49),\n", + " datetime.datetime(2005, 8, 7, 4, 38, 49),\n", + " 'KYLE',\n", + " 'SPURLOCK',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (13665,\n", + " datetime.datetime(2005, 8, 20, 8, 19, 20),\n", + " datetime.datetime(2005, 8, 28, 6, 26, 20),\n", + " 'TONI',\n", + " 'HOLT',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (1011,\n", + " datetime.datetime(2005, 5, 31, 2, 5, 39),\n", + " datetime.datetime(2005, 6, 4, 21, 27, 39),\n", + " 'JOANN',\n", + " 'GARDNER',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (3080,\n", + " datetime.datetime(2005, 6, 20, 15, 22, 32),\n", + " datetime.datetime(2005, 6, 24, 11, 8, 32),\n", + " 'HOWARD',\n", + " 'FORTNER',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (5545,\n", + " datetime.datetime(2005, 7, 10, 2, 50, 29),\n", + " datetime.datetime(2005, 7, 16, 2, 11, 29),\n", + " 'MARCIA',\n", + " 'DEAN',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (7104,\n", + " datetime.datetime(2005, 7, 27, 5, 15, 25),\n", + " datetime.datetime(2005, 8, 1, 5, 36, 25),\n", + " 'AGNES',\n", + " 'BISHOP',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (11982,\n", + " datetime.datetime(2005, 8, 17, 18, 13, 7),\n", + " datetime.datetime(2005, 8, 18, 19, 6, 7),\n", + " 'HOLLY',\n", + " 'FOX',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (968,\n", + " datetime.datetime(2005, 5, 30, 19, 20, 3),\n", + " datetime.datetime(2005, 5, 31, 18, 17, 3),\n", + " 'MORRIS',\n", + " 'MCCARTER',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (1854,\n", + " datetime.datetime(2005, 6, 17, 0, 43, 57),\n", + " datetime.datetime(2005, 6, 23, 5, 49, 57),\n", + " 'PAMELA',\n", + " 'BAKER',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (5263,\n", + " datetime.datetime(2005, 7, 9, 14, 10, 36),\n", + " datetime.datetime(2005, 7, 12, 15, 7, 36),\n", + " 'NATHAN',\n", + " 'RUNYON',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (9218,\n", + " datetime.datetime(2005, 7, 30, 13, 14, 35),\n", + " datetime.datetime(2005, 8, 7, 18, 3, 35),\n", + " 'BERNICE',\n", + " 'WILLIS',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (11812,\n", + " datetime.datetime(2005, 8, 17, 12, 0, 54),\n", + " datetime.datetime(2005, 8, 18, 16, 8, 54),\n", + " 'ESTHER',\n", + " 'CRAWFORD',\n", + " 'ANACONDA CONFESSIONS'),\n", + " (3021,\n", + " datetime.datetime(2005, 6, 20, 11, 13, 1),\n", + " datetime.datetime(2005, 6, 28, 16, 15, 1),\n", + " 'JOAN',\n", + " 'COOPER',\n", + " 'ANALYZE HOOSIERS'),\n", + " (5918,\n", + " datetime.datetime(2005, 7, 10, 21, 32, 6),\n", + " datetime.datetime(2005, 7, 19, 21, 35, 6),\n", + " 'REBECCA',\n", + " 'SCOTT',\n", + " 'ANALYZE HOOSIERS'),\n", + " (7444,\n", + " datetime.datetime(2005, 7, 27, 17, 49, 16),\n", + " datetime.datetime(2005, 7, 28, 15, 5, 16),\n", + " 'JAMIE',\n", + " 'WAUGH',\n", + " 'ANALYZE HOOSIERS'),\n", + " (13221,\n", + " datetime.datetime(2005, 8, 19, 15, 45, 47),\n", + " datetime.datetime(2005, 8, 26, 21, 10, 47),\n", + " 'TIM',\n", + " 'CARY',\n", + " 'ANALYZE HOOSIERS'),\n", + " (9438,\n", + " datetime.datetime(2005, 7, 30, 21, 36, 15),\n", + " datetime.datetime(2005, 8, 7, 16, 54, 15),\n", + " 'BETTY',\n", + " 'WHITE',\n", + " 'ANALYZE HOOSIERS'),\n", + " (15249,\n", + " datetime.datetime(2005, 8, 22, 17, 58, 27),\n", + " datetime.datetime(2005, 8, 30, 14, 55, 27),\n", + " 'MARCUS',\n", + " 'HIDALGO',\n", + " 'ANALYZE HOOSIERS'),\n", + " (2985,\n", + " datetime.datetime(2005, 6, 20, 8, 45, 8),\n", + " datetime.datetime(2005, 6, 22, 4, 26, 8),\n", + " 'MICHELE',\n", + " 'GRANT',\n", + " 'ANALYZE HOOSIERS'),\n", + " (5243,\n", + " datetime.datetime(2005, 7, 9, 13, 22, 8),\n", + " datetime.datetime(2005, 7, 16, 9, 25, 8),\n", + " 'SERGIO',\n", + " 'STANFIELD',\n", + " 'ANALYZE HOOSIERS'),\n", + " (9980,\n", + " datetime.datetime(2005, 7, 31, 17, 2),\n", + " datetime.datetime(2005, 8, 8, 11, 11),\n", + " 'ARLENE',\n", + " 'HARVEY',\n", + " 'ANALYZE HOOSIERS'),\n", + " (14442,\n", + " datetime.datetime(2005, 8, 21, 12, 0, 21),\n", + " datetime.datetime(2005, 8, 23, 17, 0, 21),\n", + " 'EILEEN',\n", + " 'CARR',\n", + " 'ANALYZE HOOSIERS'),\n", + " (1705,\n", + " datetime.datetime(2005, 6, 16, 13, 59, 42),\n", + " datetime.datetime(2005, 6, 18, 19, 54, 42),\n", + " 'BOB',\n", + " 'PFEIFFER',\n", + " 'ANALYZE HOOSIERS'),\n", + " (3737,\n", + " datetime.datetime(2005, 7, 6, 11, 45, 53),\n", + " datetime.datetime(2005, 7, 13, 15, 27, 53),\n", + " 'MIKE',\n", + " 'WAY',\n", + " 'ANALYZE HOOSIERS'),\n", + " (10042,\n", + " datetime.datetime(2005, 7, 31, 19, 1, 25),\n", + " datetime.datetime(2005, 8, 6, 14, 21, 25),\n", + " 'ROSEMARY',\n", + " 'SCHMIDT',\n", + " 'ANALYZE HOOSIERS'),\n", + " (13387,\n", + " datetime.datetime(2005, 8, 19, 21, 46, 10),\n", + " datetime.datetime(2005, 8, 24, 1, 16, 10),\n", + " 'NATHANIEL',\n", + " 'ADAM',\n", + " 'ANALYZE HOOSIERS'),\n", + " (3823,\n", + " datetime.datetime(2005, 7, 6, 15, 41, 27),\n", + " datetime.datetime(2005, 7, 9, 9, 48, 27),\n", + " 'JENNIE',\n", + " 'TERRY',\n", + " 'ANGELS LIFE'),\n", + " (7603,\n", + " datetime.datetime(2005, 7, 27, 23, 54, 44),\n", + " datetime.datetime(2005, 7, 29, 1, 24, 44),\n", + " 'GILBERT',\n", + " 'SLEDGE',\n", + " 'ANGELS LIFE'),\n", + " (15763,\n", + " datetime.datetime(2005, 8, 23, 13, 2, 59),\n", + " datetime.datetime(2005, 8, 24, 17, 45, 59),\n", + " 'VERONICA',\n", + " 'STONE',\n", + " 'ANGELS LIFE'),\n", + " (2556,\n", + " datetime.datetime(2005, 6, 19, 3, 7, 32),\n", + " datetime.datetime(2005, 6, 23, 23, 9, 32),\n", + " 'HOWARD',\n", + " 'FORTNER',\n", + " 'ANGELS LIFE'),\n", + " (3915,\n", + " datetime.datetime(2005, 7, 6, 20, 16, 46),\n", + " datetime.datetime(2005, 7, 10, 17, 24, 46),\n", + " 'CATHY',\n", + " 'SPENCER',\n", + " 'ANGELS LIFE'),\n", + " (10287,\n", + " datetime.datetime(2005, 8, 1, 3, 37, 1),\n", + " datetime.datetime(2005, 8, 5, 23, 3, 1),\n", + " 'DEBBIE',\n", + " 'REYES',\n", + " 'ANGELS LIFE'),\n", + " (14235,\n", + " datetime.datetime(2005, 8, 21, 5, 8, 42),\n", + " datetime.datetime(2005, 8, 29, 23, 36, 42),\n", + " 'JIMMIE',\n", + " 'EGGLESTON',\n", + " 'ANGELS LIFE'),\n", + " (653,\n", + " datetime.datetime(2005, 5, 28, 20, 12, 20),\n", + " datetime.datetime(2005, 6, 4, 14, 44, 20),\n", + " 'LARRY',\n", + " 'THRASHER',\n", + " 'ANGELS LIFE'),\n", + " (2859,\n", + " datetime.datetime(2005, 6, 19, 23, 18, 42),\n", + " datetime.datetime(2005, 6, 20, 22, 38, 42),\n", + " 'JOANNE',\n", + " 'ROBERTSON',\n", + " 'ANGELS LIFE'),\n", + " (6159,\n", + " datetime.datetime(2005, 7, 11, 9, 55, 34),\n", + " datetime.datetime(2005, 7, 13, 10, 1, 34),\n", + " 'ARLENE',\n", + " 'HARVEY',\n", + " 'ANGELS LIFE'),\n", + " (9763,\n", + " datetime.datetime(2005, 7, 31, 9, 34, 3),\n", + " datetime.datetime(2005, 8, 8, 5, 30, 3),\n", + " 'PHILIP',\n", + " 'CAUSEY',\n", + " 'ANGELS LIFE'),\n", + " (15784,\n", + " datetime.datetime(2005, 8, 23, 13, 46),\n", + " datetime.datetime(2005, 8, 30, 11, 49),\n", + " 'FRANCIS',\n", + " 'SIKES',\n", + " 'ANGELS LIFE'),\n", + " (8951,\n", + " 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3),\n", + " None,\n", + " 'BETH',\n", + " 'FRANKLIN',\n", + " 'BAKED CLEOPATRA'),\n", + " (513,\n", + " datetime.datetime(2005, 5, 28, 3, 8, 10),\n", + " datetime.datetime(2005, 5, 29, 7, 22, 10),\n", + " 'RICARDO',\n", + " 'MEADOR',\n", + " 'BAKED CLEOPATRA'),\n", + " (2589,\n", + " datetime.datetime(2005, 6, 19, 5, 21, 27),\n", + " datetime.datetime(2005, 6, 21, 9, 55, 27),\n", + " 'JOANN',\n", + " 'GARDNER',\n", + " 'BAKED CLEOPATRA'),\n", + " (4502,\n", + " datetime.datetime(2005, 7, 8, 2, 12, 4),\n", + " datetime.datetime(2005, 7, 15, 2, 19, 4),\n", + " 'GORDON',\n", + " 'ALLARD',\n", + " 'BAKED CLEOPATRA'),\n", + " (9777,\n", + " datetime.datetime(2005, 7, 31, 10, 1, 6),\n", + " datetime.datetime(2005, 8, 8, 4, 44, 6),\n", + " 'MATHEW',\n", + " 'BOLIN',\n", + " 'BAKED CLEOPATRA'),\n", + " (15853,\n", + " datetime.datetime(2005, 8, 23, 15, 54, 20),\n", + " datetime.datetime(2005, 8, 24, 18, 53, 20),\n", + " 'REGINALD',\n", + " 'KINDER',\n", + " 'BAKED CLEOPATRA'),\n", + " (4110,\n", + " datetime.datetime(2005, 7, 7, 6, 44, 27),\n", + " datetime.datetime(2005, 7, 12, 5, 43, 27),\n", + " 'GLEN',\n", + " 'TALBERT',\n", + " 'BAKED CLEOPATRA'),\n", + " (7062,\n", + " datetime.datetime(2005, 7, 27, 3, 52, 1),\n", + " datetime.datetime(2005, 8, 3, 8, 26, 1),\n", + " 'WESLEY',\n", + " 'BULL',\n", + " 'BAKED CLEOPATRA'),\n", + " (14548,\n", + " datetime.datetime(2005, 8, 21, 15, 53, 52),\n", + " datetime.datetime(2005, 8, 25, 15, 39, 52),\n", + " 'JAMES',\n", + " 'GANNON',\n", + " 'BAKED CLEOPATRA'),\n", + " (670,\n", + " datetime.datetime(2005, 5, 28, 22, 4, 3),\n", + " datetime.datetime(2005, 6, 6, 22, 43, 3),\n", + " 'VICKI',\n", + " 'FIELDS',\n", + " 'BALLOON HOMEWARD'),\n", + " (2040,\n", + " datetime.datetime(2005, 6, 17, 14, 18, 37),\n", + " datetime.datetime(2005, 6, 22, 19, 8, 37),\n", + " 'CHRISTY',\n", + " 'VARGAS',\n", + " 'BALLOON HOMEWARD'),\n", + " (6796,\n", + " datetime.datetime(2005, 7, 12, 16, 44, 16),\n", + " datetime.datetime(2005, 7, 16, 14, 48, 16),\n", + " 'TONI',\n", + " 'HOLT',\n", + " 'BALLOON HOMEWARD'),\n", + " (7176,\n", + " datetime.datetime(2005, 7, 27, 8, 4, 28),\n", + " datetime.datetime(2005, 7, 29, 14, 0, 28),\n", + " 'MARSHA',\n", + " 'DOUGLAS',\n", + " 'BALLOON HOMEWARD'),\n", + " (15141,\n", + " datetime.datetime(2005, 8, 22, 13, 41, 49),\n", + " datetime.datetime(2005, 8, 28, 15, 25, 49),\n", + " 'DARREN',\n", + " 'WINDHAM',\n", + " 'BALLOON HOMEWARD'),\n", + " (1468,\n", + " datetime.datetime(2005, 6, 15, 20, 48, 22),\n", + " datetime.datetime(2005, 6, 21, 19, 48, 22),\n", + " 'JOY',\n", + " 'GEORGE',\n", + " 'BALLOON HOMEWARD'),\n", + " (4629,\n", + " datetime.datetime(2005, 7, 8, 8, 31, 26),\n", + " datetime.datetime(2005, 7, 17, 12, 7, 26),\n", + " 'KEN',\n", + " 'PREWITT',\n", + " 'BALLOON HOMEWARD'),\n", + " (7312,\n", + " datetime.datetime(2005, 7, 27, 13, 3, 14),\n", + " datetime.datetime(2005, 7, 31, 7, 56, 14),\n", + " 'LANCE',\n", + " 'PEMBERTON',\n", + " 'BALLOON HOMEWARD'),\n", + " (12405,\n", + " datetime.datetime(2005, 8, 18, 9, 37, 30),\n", + " datetime.datetime(2005, 8, 27, 13, 11, 30),\n", + " 'NORA',\n", + " 'HERRERA',\n", + " 'BALLOON HOMEWARD'),\n", + " (2056,\n", + " datetime.datetime(2005, 6, 17, 15, 27, 33),\n", + " datetime.datetime(2005, 6, 20, 13, 4, 33),\n", + " 'CAROLYN',\n", + " 'PEREZ',\n", + " 'BALLOON HOMEWARD'),\n", + " (6863,\n", + " datetime.datetime(2005, 7, 12, 19, 58, 34),\n", + " datetime.datetime(2005, 7, 21, 16, 57, 34),\n", + " 'ROBERTO',\n", + " 'VU',\n", + " 'BALLOON HOMEWARD'),\n", + " (10481,\n", + " datetime.datetime(2005, 8, 1, 10, 17, 26),\n", + " datetime.datetime(2005, 8, 9, 8, 50, 26),\n", + " 'BEATRICE',\n", + " 'ARNOLD',\n", + " 'BALLOON HOMEWARD'),\n", + " (14480,\n", + " datetime.datetime(2005, 8, 21, 13, 36, 40),\n", + " datetime.datetime(2005, 8, 26, 8, 39, 40),\n", + " 'NORMAN',\n", + " 'CURRIER',\n", + " 'BALLOON HOMEWARD'),\n", + " (1400,\n", + " datetime.datetime(2005, 6, 15, 16, 29, 56),\n", + " datetime.datetime(2005, 6, 21, 14, 43, 56),\n", + " 'JOHNNIE',\n", + " 'CHISHOLM',\n", + " 'BALLOON HOMEWARD'),\n", + " (5047,\n", + " datetime.datetime(2005, 7, 9, 3, 44, 15),\n", + " datetime.datetime(2005, 7, 15, 9, 7, 15),\n", + " 'KAY',\n", + " 'CALDWELL',\n", + " 'BALLOON HOMEWARD'),\n", + " (11469,\n", + " datetime.datetime(2005, 8, 2, 21, 48, 9),\n", + " datetime.datetime(2005, 8, 6, 18, 37, 9),\n", + " 'JANE',\n", + " 'BENNETT',\n", + " 'BALLOON HOMEWARD'),\n", + " (13242,\n", + " datetime.datetime(2005, 8, 19, 16, 28, 47),\n", + " datetime.datetime(2005, 8, 24, 22, 13, 47),\n", + " 'VINCENT',\n", + " 'RALSTON',\n", + " 'BALLOON HOMEWARD'),\n", + " (2641,\n", + " datetime.datetime(2005, 6, 19, 9, 38, 33),\n", + " datetime.datetime(2005, 6, 22, 9, 55, 33),\n", + " 'JEREMY',\n", + " 'HURTADO',\n", + " 'BALLOON HOMEWARD'),\n", + " (4575,\n", + " datetime.datetime(2005, 7, 8, 5, 49, 14),\n", + " datetime.datetime(2005, 7, 11, 4, 8, 14),\n", + " 'STEPHANIE',\n", + " 'MITCHELL',\n", + " 'BALLOON HOMEWARD'),\n", + " (9829,\n", + " datetime.datetime(2005, 7, 31, 11, 58, 38),\n", + " datetime.datetime(2005, 8, 7, 8, 11, 38),\n", + " 'RICKY',\n", + " 'SHELBY',\n", + " 'BALLOON HOMEWARD'),\n", + " (15451,\n", + " datetime.datetime(2005, 8, 23, 0, 56, 27),\n", + " datetime.datetime(2005, 8, 24, 0, 15, 27),\n", + " 'FRANKLIN',\n", + " 'TROUTMAN',\n", + " 'BALLOON HOMEWARD'),\n", + " (10614,\n", + " datetime.datetime(2005, 8, 1, 14, 57),\n", + " datetime.datetime(2005, 8, 10, 9, 31),\n", + " 'JESSIE',\n", + " 'MILAM',\n", + " 'BALLOON HOMEWARD'),\n", + " (11963,\n", + " datetime.datetime(2005, 8, 17, 17, 35, 47),\n", + " datetime.datetime(2005, 8, 23, 16, 19, 47),\n", + " 'STACEY',\n", + " 'MONTGOMERY',\n", + " 'BALLOON HOMEWARD'),\n", + " (6702,\n", + " datetime.datetime(2005, 7, 12, 12, 48, 3),\n", + " datetime.datetime(2005, 7, 13, 11, 55, 3),\n", + " 'JOANN',\n", + " 'GARDNER',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (8399,\n", + " datetime.datetime(2005, 7, 29, 6, 20, 18),\n", + " datetime.datetime(2005, 8, 4, 1, 26, 18),\n", + " 'VELMA',\n", + " 'LUCAS',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (15087,\n", + " datetime.datetime(2005, 8, 22, 11, 24, 9),\n", + " datetime.datetime(2005, 8, 27, 16, 42, 9),\n", + " 'STANLEY',\n", + " 'SCROGGINS',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (517,\n", + " datetime.datetime(2005, 5, 28, 3, 17, 57),\n", + " datetime.datetime(2005, 5, 29, 6, 33, 57),\n", + " 'MIKE',\n", + " 'WAY',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (2234,\n", + " datetime.datetime(2005, 6, 18, 4, 1, 28),\n", + " datetime.datetime(2005, 6, 24, 4, 55, 28),\n", + " 'RENEE',\n", + " 'LANE',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (4088,\n", + " datetime.datetime(2005, 7, 7, 5, 31, 55),\n", + " datetime.datetime(2005, 7, 15, 7, 35, 55),\n", + " 'JANICE',\n", + " 'WARD',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (10450,\n", + " datetime.datetime(2005, 8, 1, 9, 10, 3),\n", + " datetime.datetime(2005, 8, 8, 12, 34, 3),\n", + " 'RUSSELL',\n", + " 'BRINSON',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (15180,\n", + " datetime.datetime(2005, 8, 22, 15, 42, 57),\n", + " datetime.datetime(2005, 8, 24, 12, 49, 57),\n", + " 'NEIL',\n", + " 'RENNER',\n", + " 'BALLROOM MOCKINGBIRD'),\n", + " (1522,\n", + " datetime.datetime(2005, 6, 16, 0, 17, 39),\n", + " datetime.datetime(2005, 6, 22, 5, 38, 39),\n", + " 'PAULINE',\n", + " 'HENRY',\n", + " 'BANG KWAI'),\n", + " (6612,\n", + " datetime.datetime(2005, 7, 12, 8, 28, 33),\n", + " datetime.datetime(2005, 7, 17, 6, 25, 33),\n", + " 'ALICIA',\n", + " 'MILLS',\n", + " 'BANG KWAI'),\n", + " (10477,\n", + " datetime.datetime(2005, 8, 1, 10, 4, 17),\n", + " datetime.datetime(2005, 8, 6, 11, 32, 17),\n", + " 'LESLIE',\n", + " 'SEWARD',\n", + " 'BANG KWAI'),\n", + " (15879,\n", + " datetime.datetime(2005, 8, 23, 16, 42, 53),\n", + " datetime.datetime(2005, 8, 29, 16, 21, 53),\n", + " 'MAURICE',\n", + " 'CRAWLEY',\n", + " 'BANG KWAI'),\n", + " (5881,\n", + " datetime.datetime(2005, 7, 10, 19, 19, 43),\n", + " datetime.datetime(2005, 7, 12, 20, 11, 43),\n", + " 'DEBORAH',\n", + " 'WALKER',\n", + " 'BANG KWAI'),\n", + " (7280,\n", + " datetime.datetime(2005, 7, 27, 11, 50, 52),\n", + " datetime.datetime(2005, 7, 30, 15, 53, 52),\n", + " 'HAROLD',\n", + " 'MARTINO',\n", + " 'BANG KWAI'),\n", + " (14374,\n", + " datetime.datetime(2006, 2, 14, 15, 16, 3),\n", + " None,\n", + " 'GINA',\n", + " 'WILLIAMSON',\n", + " 'BANG KWAI'),\n", + " (3231,\n", + " datetime.datetime(2005, 6, 21, 2, 25),\n", + " datetime.datetime(2005, 6, 23, 5, 46),\n", + " 'CYNTHIA',\n", + " 'YOUNG',\n", + " 'BANGER PINOCCHIO'),\n", + " (6741,\n", + " datetime.datetime(2005, 7, 12, 14, 24, 16),\n", + " datetime.datetime(2005, 7, 15, 8, 31, 16),\n", + " 'WILLIE',\n", + " 'MARKHAM',\n", + " 'BANGER PINOCCHIO'),\n", + " (7886,\n", + " datetime.datetime(2005, 7, 28, 10, 37, 55),\n", + " datetime.datetime(2005, 8, 4, 13, 22, 55),\n", + " 'ALBERT',\n", + " 'CROUSE',\n", + " 'BANGER PINOCCHIO'),\n", + " (14777,\n", + " datetime.datetime(2005, 8, 21, 23, 55, 50),\n", + " datetime.datetime(2005, 8, 28, 4, 31, 50),\n", + " 'ALAN',\n", + " 'KAHN',\n", + " 'BANGER PINOCCHIO'),\n", + " (2145,\n", + " datetime.datetime(2005, 6, 17, 22, 10, 36),\n", + " datetime.datetime(2005, 6, 18, 21, 7, 36),\n", + " 'CRAIG',\n", + " 'MORRELL',\n", + " 'BANGER PINOCCHIO'),\n", + " (6587,\n", + " datetime.datetime(2005, 7, 12, 6, 56, 26),\n", + " datetime.datetime(2005, 7, 20, 5, 53, 26),\n", + " 'CHAD',\n", + " 'CARBONE',\n", + " 'BANGER PINOCCHIO'),\n", + " (7167,\n", + " datetime.datetime(2005, 7, 27, 7, 37, 26),\n", + " datetime.datetime(2005, 8, 3, 6, 39, 26),\n", + " 'RUSSELL',\n", + " 'BRINSON',\n", + " 'BANGER PINOCCHIO'),\n", + " (13490,\n", + " datetime.datetime(2005, 8, 20, 1, 29, 29),\n", + " datetime.datetime(2005, 8, 21, 22, 36, 29),\n", + " 'CAROL',\n", + " 'GARCIA',\n", + " 'BANGER PINOCCHIO'),\n", + " (67,\n", + " datetime.datetime(2005, 5, 25, 9, 41, 1),\n", + " datetime.datetime(2005, 5, 27, 13, 46, 1),\n", + " 'SHERRY',\n", + " 'MARSHALL',\n", + " 'BANGER PINOCCHIO'),\n", + " (1218,\n", + " datetime.datetime(2005, 6, 15, 3, 24, 44),\n", + " datetime.datetime(2005, 6, 21, 22, 45, 44),\n", + " 'BILLY',\n", + " 'POULIN',\n", + " 'BANGER PINOCCHIO'),\n", + " (4643,\n", + " datetime.datetime(2005, 7, 8, 9, 13, 56),\n", + " datetime.datetime(2005, 7, 10, 12, 9, 56),\n", + " 'TROY',\n", + " 'QUIGLEY',\n", + " 'BANGER PINOCCHIO'),\n", + " (11093,\n", + " datetime.datetime(2005, 8, 2, 7, 59, 49),\n", + " datetime.datetime(2005, 8, 11, 6, 1, 49),\n", + " 'KATHRYN',\n", + " 'COLEMAN',\n", + " 'BANGER PINOCCHIO'),\n", + " (13370,\n", + " datetime.datetime(2005, 8, 19, 21, 20, 11),\n", + " datetime.datetime(2005, 8, 25, 22, 51, 11),\n", + " 'PEGGY',\n", + " 'MYERS',\n", + " 'BANGER PINOCCHIO'),\n", + " (1677,\n", + " datetime.datetime(2005, 6, 16, 11, 7, 11),\n", + " datetime.datetime(2005, 6, 23, 10, 50, 11),\n", + " 'JEANETTE',\n", + " 'GREENE',\n", + " 'BANGER PINOCCHIO'),\n", + " (3795,\n", + " datetime.datetime(2005, 7, 6, 14, 37, 41),\n", + " datetime.datetime(2005, 7, 11, 20, 27, 41),\n", + " 'SUZANNE',\n", + " 'NICHOLS',\n", + " 'BANGER PINOCCHIO'),\n", + " (10557,\n", + " datetime.datetime(2005, 8, 1, 12, 59, 24),\n", + " datetime.datetime(2005, 8, 4, 17, 8, 24),\n", + " 'PHILLIP',\n", + " 'HOLM',\n", + " 'BANGER PINOCCHIO'),\n", + " (16006,\n", + " datetime.datetime(2005, 8, 23, 21, 1, 9),\n", + " datetime.datetime(2005, 8, 25, 19, 33, 9),\n", + " 'JESSIE',\n", + " 'MILAM',\n", + " 'BANGER PINOCCHIO'),\n", + " (237,\n", + " datetime.datetime(2005, 5, 26, 12, 15, 13),\n", + " datetime.datetime(2005, 5, 29, 18, 10, 13),\n", + " 'FERNANDO',\n", + " 'CHURCHILL',\n", + " 'BANGER PINOCCHIO'),\n", + " (2420,\n", + " datetime.datetime(2005, 6, 18, 17, 22, 28),\n", + " datetime.datetime(2005, 6, 23, 17, 45, 28),\n", + " 'BRETT',\n", + " 'CORNWELL',\n", + " 'BANGER PINOCCHIO'),\n", + " (4678,\n", + " datetime.datetime(2005, 7, 8, 10, 30, 40),\n", + " datetime.datetime(2005, 7, 13, 11, 8, 40),\n", + " 'WILLIE',\n", + " 'HOWELL',\n", + " 'BANGER PINOCCHIO'),\n", + " (9418,\n", + " datetime.datetime(2005, 7, 30, 21, 0, 52),\n", + " datetime.datetime(2005, 8, 8, 15, 56, 52),\n", + " 'REGINA',\n", + " 'BERRY',\n", + " 'BANGER PINOCCHIO'),\n", + " (13185,\n", + " datetime.datetime(2005, 8, 19, 14, 22, 30),\n", + " datetime.datetime(2005, 8, 20, 10, 13, 30),\n", + " 'YVONNE',\n", + " 'WATKINS',\n", + " 'BANGER PINOCCHIO'),\n", + " (728,\n", + " datetime.datetime(2005, 5, 29, 6, 12, 38),\n", + " datetime.datetime(2005, 6, 3, 7, 41, 38),\n", + " 'CLAYTON',\n", + " 'BARBEE',\n", + " 'BARBARELLA STREETCAR'),\n", + " (1215,\n", + " datetime.datetime(2005, 6, 15, 3, 21),\n", + " datetime.datetime(2005, 6, 19, 3, 39),\n", + " 'CRYSTAL',\n", + " 'FORD',\n", + " 'BARBARELLA STREETCAR'),\n", + " (5102,\n", + " datetime.datetime(2005, 7, 9, 6, 25, 48),\n", + " datetime.datetime(2005, 7, 16, 11, 32, 48),\n", + " 'STEVEN',\n", + " 'CURLEY',\n", + " 'BARBARELLA STREETCAR'),\n", + " (11351,\n", + " datetime.datetime(2005, 8, 2, 17, 28, 7),\n", + " datetime.datetime(2005, 8, 9, 21, 55, 7),\n", + " 'ELSIE',\n", + " 'KELLEY',\n", + " 'BARBARELLA STREETCAR'),\n", + " (12471,\n", + " datetime.datetime(2005, 8, 18, 11, 57),\n", + " datetime.datetime(2005, 8, 26, 13, 17),\n", + " 'PEGGY',\n", + " 'MYERS',\n", + " 'BARBARELLA STREETCAR'),\n", + " (2158,\n", + " datetime.datetime(2005, 6, 17, 23, 36, 27),\n", + " datetime.datetime(2005, 6, 19, 19, 25, 27),\n", + " 'DARRYL',\n", + " 'ASHCRAFT',\n", + " 'BARBARELLA STREETCAR'),\n", + " (6498,\n", + " datetime.datetime(2005, 7, 12, 3, 5, 38),\n", + " datetime.datetime(2005, 7, 19, 7, 12, 38),\n", + " 'ANN',\n", + " 'EVANS',\n", + " 'BARBARELLA STREETCAR'),\n", + " (7428,\n", + " datetime.datetime(2005, 7, 27, 17, 21, 52),\n", + " datetime.datetime(2005, 8, 5, 17, 13, 52),\n", + " 'RUBY',\n", + " 'WASHINGTON',\n", + " 'BARBARELLA STREETCAR'),\n", + " (15920,\n", + " datetime.datetime(2005, 8, 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3),\n", + " 'WANDA',\n", + " 'PATTERSON',\n", + " 'BEAST HUNCHBACK'),\n", + " (613,\n", + " datetime.datetime(2005, 5, 28, 15, 27, 22),\n", + " datetime.datetime(2005, 6, 2, 20, 1, 22),\n", + " 'TERRENCE',\n", + " 'GUNDERSON',\n", + " 'BEAST HUNCHBACK'),\n", + " (1583,\n", + " datetime.datetime(2005, 6, 16, 4, 44, 23),\n", + " datetime.datetime(2005, 6, 18, 3, 44, 23),\n", + " 'PAMELA',\n", + " 'BAKER',\n", + " 'BEAST HUNCHBACK'),\n", + " (5872,\n", + " datetime.datetime(2005, 7, 10, 18, 54, 5),\n", + " datetime.datetime(2005, 7, 19, 15, 41, 5),\n", + " 'BENJAMIN',\n", + " 'VARNEY',\n", + " 'BEAST HUNCHBACK'),\n", + " (8377,\n", + " datetime.datetime(2005, 7, 29, 5, 27, 40),\n", + " datetime.datetime(2005, 7, 30, 2, 52, 40),\n", + " 'BEVERLY',\n", + " 'BROOKS',\n", + " 'BEAST HUNCHBACK'),\n", + " (15290,\n", + " datetime.datetime(2005, 8, 22, 19, 28, 2),\n", + " datetime.datetime(2005, 8, 31, 20, 4, 2),\n", + " 'STANLEY',\n", + " 'SCROGGINS',\n", + " 'BEAST HUNCHBACK'),\n", + " (9425,\n", + " datetime.datetime(2005, 7, 30, 21, 11, 21),\n", + " datetime.datetime(2005, 8, 5, 19, 0, 21),\n", + " 'DAISY',\n", + " 'BATES',\n", + " 'BEAST HUNCHBACK'),\n", + " (14867,\n", + " datetime.datetime(2005, 8, 22, 3, 14, 46),\n", + " datetime.datetime(2005, 8, 25, 3, 53, 46),\n", + " 'GRACE',\n", + " 'ELLIS',\n", + " 'BEAST HUNCHBACK'),\n", + " (1658,\n", + " datetime.datetime(2005, 6, 16, 10, 7, 10),\n", + " datetime.datetime(2005, 6, 21, 9, 23, 10),\n", + " 'ALBERTO',\n", + " 'HENNING',\n", + " 'BEAUTY GREASE'),\n", + " (4946,\n", + " datetime.datetime(2005, 7, 8, 22, 46, 23),\n", + " datetime.datetime(2005, 7, 16, 17, 19, 23),\n", + " 'BERNARD',\n", + " 'COLBY',\n", + " 'BEAUTY GREASE'),\n", + " (8927,\n", + " datetime.datetime(2005, 7, 30, 2, 13, 31),\n", + " datetime.datetime(2005, 8, 1, 1, 34, 31),\n", + " 'HELEN',\n", + " 'HARRIS',\n", + " 'BEAUTY GREASE'),\n", + " (11815,\n", + " datetime.datetime(2005, 8, 17, 12, 13, 26),\n", + " datetime.datetime(2005, 8, 22, 17, 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datetime.datetime(2005, 7, 7, 1, 55, 25),\n", + " datetime.datetime(2005, 7, 8, 2, 43, 25),\n", + " 'BYRON',\n", + " 'BOX',\n", + " 'BEAUTY GREASE'),\n", + " (10402,\n", + " datetime.datetime(2005, 8, 1, 7, 27, 19),\n", + " datetime.datetime(2005, 8, 4, 12, 30, 19),\n", + " 'CURTIS',\n", + " 'IRBY',\n", + " 'BEAUTY GREASE'),\n", + " (12338,\n", + " datetime.datetime(2005, 8, 18, 7, 4, 24),\n", + " datetime.datetime(2005, 8, 19, 8, 36, 24),\n", + " 'MANUEL',\n", + " 'MURRELL',\n", + " 'BEAUTY GREASE'),\n", + " (6798,\n", + " datetime.datetime(2005, 7, 12, 16, 49, 11),\n", + " datetime.datetime(2005, 7, 19, 12, 11, 11),\n", + " 'WENDY',\n", + " 'HARRISON',\n", + " 'BEAUTY GREASE'),\n", + " (9119,\n", + " datetime.datetime(2005, 7, 30, 9, 25, 56),\n", + " datetime.datetime(2005, 8, 3, 3, 36, 56),\n", + " 'RICHARD',\n", + " 'MCCRARY',\n", + " 'BEAUTY GREASE'),\n", + " (13348,\n", + " datetime.datetime(2005, 8, 19, 20, 31, 48),\n", + " datetime.datetime(2005, 8, 21, 21, 1, 48),\n", + " 'RONNIE',\n", + " 'RICKETTS',\n", + " 'BEAUTY GREASE'),\n", + " (3116,\n", + " datetime.datetime(2005, 6, 20, 18, 4, 55),\n", + " datetime.datetime(2005, 6, 21, 12, 12, 55),\n", + " 'TRACY',\n", + " 'COLE',\n", + " 'BEAUTY GREASE'),\n", + " (6735,\n", + " datetime.datetime(2005, 7, 12, 14, 8, 20),\n", + " datetime.datetime(2005, 7, 18, 9, 41, 20),\n", + " 'HERBERT',\n", + " 'KRUGER',\n", + " 'BEAUTY GREASE'),\n", + " (8569,\n", + " datetime.datetime(2005, 7, 29, 11, 39, 17),\n", + " datetime.datetime(2005, 7, 31, 7, 50, 17),\n", + " 'ROGER',\n", + " 'QUINTANILLA',\n", + " 'BEAUTY GREASE'),\n", + " (15687,\n", + " datetime.datetime(2005, 8, 23, 9, 46, 33),\n", + " datetime.datetime(2005, 9, 1, 6, 7, 33),\n", + " 'ROSA',\n", + " 'REYNOLDS',\n", + " 'BEAUTY GREASE'),\n", + " (5290,\n", + " datetime.datetime(2005, 7, 9, 15, 14, 47),\n", + " datetime.datetime(2005, 7, 11, 20, 30, 47),\n", + " 'DIANE',\n", + " 'COLLINS',\n", + " 'BEAUTY GREASE'),\n", + " (10859,\n", + " datetime.datetime(2005, 8, 2, 0, 11, 39),\n", + " datetime.datetime(2005, 8, 8, 19, 52, 39),\n", + " 'AARON',\n", + " 'SELBY',\n", + " 'BEAUTY GREASE'),\n", + " (16020,\n", + " datetime.datetime(2005, 8, 23, 21, 34, 33),\n", + " datetime.datetime(2005, 9, 1, 18, 17, 33),\n", + " 'PAUL',\n", + " 'TROUT',\n", + " 'BEAUTY GREASE'),\n", + " (6170,\n", + " datetime.datetime(2005, 7, 11, 10, 29, 21),\n", + " datetime.datetime(2005, 7, 16, 5, 13, 21),\n", + " 'ROSS',\n", + " 'GREY',\n", + " 'BED HIGHBALL'),\n", + " (6939,\n", + " datetime.datetime(2005, 7, 26, 23, 17, 51),\n", + " datetime.datetime(2005, 8, 3, 21, 12, 51),\n", + " 'JUSTIN',\n", + " 'NGO',\n", + " 'BED HIGHBALL'),\n", + " (12622,\n", + " datetime.datetime(2005, 8, 18, 17, 34, 11),\n", + " datetime.datetime(2005, 8, 24, 16, 10, 11),\n", + " 'ERIK',\n", + " 'GUILLEN',\n", + " 'BED HIGHBALL'),\n", + " (5224,\n", + " datetime.datetime(2005, 7, 9, 12, 7, 27),\n", + " datetime.datetime(2005, 7, 17, 8, 59, 27),\n", + " 'PAUL',\n", + " 'TROUT',\n", + " 'BED HIGHBALL'),\n", + " (10395,\n", + " datetime.datetime(2005, 8, 1, 7, 8, 22),\n", + " datetime.datetime(2005, 8, 5, 8, 0, 22),\n", + " 'CARRIE',\n", + " 'PORTER',\n", + " 'BED HIGHBALL'),\n", + " (12209,\n", + " datetime.datetime(2005, 8, 18, 2, 27, 20),\n", + " datetime.datetime(2005, 8, 21, 0, 41, 20),\n", + " 'LYDIA',\n", + " 'BURKE',\n", + " 'BED HIGHBALL'),\n", + " (614,\n", + " datetime.datetime(2005, 5, 28, 15, 33, 28),\n", + " datetime.datetime(2005, 6, 4, 12, 27, 28),\n", + " 'JOSEPH',\n", + " 'JOY',\n", + " 'BEDAZZLED MARRIED'),\n", + " (1633,\n", + " datetime.datetime(2005, 6, 16, 8, 8, 40),\n", + " datetime.datetime(2005, 6, 17, 11, 12, 40),\n", + " 'BARBARA',\n", + " 'JONES',\n", + " 'BEDAZZLED MARRIED'),\n", + " (5165,\n", + " datetime.datetime(2005, 7, 9, 9, 8, 53),\n", + " datetime.datetime(2005, 7, 14, 6, 1, 53),\n", + " 'SETH',\n", + " 'HANNON',\n", + " 'BEDAZZLED MARRIED'),\n", + " (8964,\n", + " datetime.datetime(2005, 7, 30, 3, 49, 35),\n", + " datetime.datetime(2005, 8, 6, 23, 28, 35),\n", + " 'KYLE',\n", + " 'SPURLOCK',\n", + " 'BEDAZZLED MARRIED'),\n", + " (15337,\n", + " datetime.datetime(2005, 8, 22, 20, 49, 51),\n", + " datetime.datetime(2005, 8, 26, 23, 27, 51),\n", + " 'TANYA',\n", + " 'GILBERT',\n", + " 'BEDAZZLED MARRIED'),\n", + " (10056,\n", + " datetime.datetime(2005, 7, 31, 19, 19, 13),\n", + " datetime.datetime(2005, 8, 1, 16, 9, 13),\n", + " 'TANYA',\n", + " 'GILBERT',\n", + " 'BEDAZZLED MARRIED'),\n", + " (15485,\n", + " datetime.datetime(2005, 8, 23, 2, 4, 57),\n", + " datetime.datetime(2005, 8, 28, 7, 5, 57),\n", + " 'GRACE',\n", + " 'ELLIS',\n", + " 'BEDAZZLED MARRIED'),\n", + " (2592,\n", + " datetime.datetime(2005, 6, 19, 5, 36, 54),\n", + " datetime.datetime(2005, 6, 21, 8, 44, 54),\n", + " 'LUCY',\n", + " 'WHEELER',\n", + " 'BEDAZZLED MARRIED'),\n", + " (6551,\n", + " datetime.datetime(2005, 7, 12, 5, 3, 43),\n", + " datetime.datetime(2005, 7, 13, 10, 44, 43),\n", + " 'ALFREDO',\n", + " 'MCADAMS',\n", + " 'BEDAZZLED MARRIED'),\n", + " (10709,\n", + " datetime.datetime(2005, 8, 1, 18, 43, 57),\n", + " datetime.datetime(2005, 8, 6, 13, 17, 57),\n", + " 'JEFF',\n", + " 'EAST',\n", + " 'BEDAZZLED MARRIED'),\n", + " ...]" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "query = (\"\"\"SELECT rental.rental_id,rental.rental_date,rental.return_date,customer.first_name,customer.last_name,film.title\n", + " FROM rental\n", + " INNER JOIN customer ON rental.customer_id = customer.customer_id\n", + " INNER JOIN inventory ON rental.inventory_id = inventory.inventory_id\n", + " INNER JOIN film ON inventory.film_id = film.film_id;\"\"\")\n", + "\n", + "cursor.execute(query)\n", + "\n", + "results = cursor.fetchall()\n", + "\n", + "results" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 0 1 2 3 4 \\\n", + "0 4863 2005-07-08 19:03:15 2005-07-11 21:29:15 JOEL FRANCISCO \n", + "1 11433 2005-08-02 20:13:10 2005-08-11 21:35:10 GABRIEL HARDER \n", + "2 14714 2005-08-21 21:27:43 2005-08-30 22:26:43 DIANNE SHELTON \n", + "3 972 2005-05-30 20:21:07 2005-06-06 00:36:07 NORMAN CURRIER \n", + "4 2117 2005-06-17 20:24:00 2005-06-23 17:45:00 BEATRICE ARNOLD \n", + "... ... ... ... ... ... \n", + "16039 711 2005-05-29 03:49:03 2005-05-31 08:29:03 JESSIE BANKS \n", + "16040 1493 2005-06-15 21:50:32 2005-06-17 01:02:32 JACKIE LYNCH \n", + "16041 6712 2005-07-12 13:24:47 2005-07-20 09:35:47 MAUREEN LITTLE \n", + "16042 9701 2005-07-31 07:32:21 2005-08-01 05:07:21 TONY CARRANZA \n", + "16043 12894 2005-08-19 03:49:28 2005-08-25 01:51:28 DARREN WINDHAM \n", + "\n", + " 5 \n", + "0 ACADEMY DINOSAUR \n", + "1 ACADEMY DINOSAUR \n", + "2 ACADEMY DINOSAUR \n", + "3 ACADEMY DINOSAUR \n", + "4 ACADEMY DINOSAUR \n", + "... ... \n", + "16039 ZORRO ARK \n", + "16040 ZORRO ARK \n", + "16041 ZORRO ARK \n", + "16042 ZORRO ARK \n", + "16043 ZORRO ARK \n", + "\n", + "[16044 rows x 6 columns]" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.DataFrame(results)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 1 - Working with JSON files\n", + "Import the pandas library." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import requests\n", + "import json" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In the next cell, load the data in nasa.json in the data folder and load it into a pandas dataframe. Name the dataframe nasa." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "nasa = pd.read_json(r\"C:\\Users\\dulce\\OneDrive\\Documentos\\Ironhack git\\Labs\\Labs week 2\\lab-import-export\\your-code\\nasa.json\")\n", + "nasa" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we have loaded the data, let's examine it using the head() function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "nasa.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### The value_counts() function is commonly used in pandas to find the frequency of every value in a column.\n", + "\n", + "In the cell below, use the value_counts() function to determine the frequency of all types of asteroid landings by applying the function to the fall column." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "frequency_of_asteroid = nasa['fall'].value_counts()\n", + "frequency_of_asteroid" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, let's save the dataframe as a json file again. Save the dataframe using the orient=records argument and name the file nasa-output.json. Remember to save the file inside the data folder." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "json_file_nasa = 'nasa-output.json'\n", + "\n", + "nasa.to_json(json_file_nasa, orient='records')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 2 - Working with CSV and Other Separated Files\n", + "\n", + "Import the pandas library\n", + "\n", + "csv files are more commonly used as dataframes. In the cell below, load the file from the URL provided using the `read_csv()` function in pandas. Starting version 0.19 of pandas, you can load a csv file into a dataframe directly from a URL without having to load the file first like we did with the JSON URL. The dataset we will be using contains informtaions about NASA shuttles. \n", + "\n", + "In the cell below, we define the column names and the URL of the data. Following this cell, read the tst file to a variable called `shuttle`. Since the file does not contain the column names, you must add them yourself using the column names declared in `cols` using the `names` argument. Additionally, a tst file is space separated, make sure you pass ` sep=' '` to the function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "nasa = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/statlog/shuttle/shuttle.tst')\n", + "nasa" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "cols = ['time', 'rad_flow', 'fpv_close', 'fpv_open', 'high', 'bypass', 'bpv_close', 'bpv_open', 'class']\n", + "tst_url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/statlog/shuttle/shuttle.tst'\n", + "\n", + "shuttle = pd.read_csv(tst_url, names=cols, sep=' ')\n", + "\n", + "shuttle" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's verify that this worked by looking at the `head()` function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "shuttle.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To make life easier for us, let's turn this dataframe into a comma separated file by saving it using the `to_csv()` function. Save `shuttle` into the file `shuttle.csv` and ensure the file is comma separated and that we are not saving the index column." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "nasa_file = 'shuttle.csv'\n", + "\n", + "shuttle.to_csv(output_file, index=False, sep=',')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 3 - Working with Excel Files\n", + "\n", + "We can also use pandas to convert excel spreadsheets to dataframes. Let's use the `read_excel()` function. In this case, `astronauts.xls` is in the same folder that contains this notebook. Read this file into a variable called `astronaut`. \n", + "\n", + "Note: Make sure to install the `xlrd` library if it is not yet installed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "astronaut = pd.read_excel(r\"C:\\Users\\dulce\\OneDrive\\Documentos\\Ironhack git\\Labs\\Labs week 2\\lab-import-export\\your-code\\astronauts.xls\")\n", + "astronaut" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use the `head()` function to inspect the dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "astronaut.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Use the `value_counts()` function to find the most popular undergraduate major among all astronauts." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "astronaut['Undergraduate Major'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Due to all the commas present in the cells of this file, let's save it as a tab separated csv file. In the cell below, save `astronaut` as a tab separated file using the `to_csv` function. Call the file `astronaut.csv` and remember to remove the index column." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "path_of_the_file = \"astronaut.csv\"\n", + "\n", + "astronaut.to_csv(path_of_the_file, sep='\\t', index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bonus Challenge - Fertility Dataset\n", + "\n", + "Visit the following [URL](https://archive.ics.uci.edu/ml/datasets/Fertility) and retrieve the dataset as well as the column headers. Determine the correct separator and read the file into a variable called `fertility`. Examine the dataframe using the `head()` function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fertility = pd.read_csv(r\"C:\\Users\\dulce\\OneDrive\\Ambiente de Trabalho\\fertility_Diagnosis.csv\")\n", + "fertility" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "path_of_the_file = r\"C:\\Users\\dulce\\OneDrive\\Ambiente de Trabalho\\fertility_Diagnosis.csv\"\n", + "\n", + "separator = ','\n", + "\n", + "fertility = pd.read_csv(path_of_the_file, sep=separator)\n", + "fertility" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "fertility.head()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}