{ "cells": [ { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "# Import the required libraries and open the connection to Mongo\n", "\n", "import collections\n", "from datetime import datetime\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import scipy.stats\n", "\n", "import pymongo\n", "from bson.objectid import ObjectId\n", "# client = pymongo.MongoClient('mongodb://localhost:27117/')\n", "# client = pymongo.MongoClient('mongodb://ogedei:27017')\n", "client = pymongo.MongoClient('mongodb://localhost:27017')" ] }, { "cell_type": "code", "execution_count": 141, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# Connect to the database\n", "summerofcode_db = client.summerofcode\n", "imp = summerofcode_db.imp\n", "icmas = summerofcode_db.icmas" ] }, { "cell_type": "code", "execution_count": 139, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "14.1 Basic CRUD.ipynb\r\n", "2016J_TMA01_q1-TN.ipynb\r\n", "2016J_TMA01_q2-withTN.ipynb\r\n", "import-data-Copy1.ipynb\r\n", "import-data.ipynb\r\n", "SUMMEROFCODE-Day 0 Warm up holiday prices-grades.csv\r\n", "SUMMEROFCODE-Day 1 Choosing a holiday-grades.csv\r\n", "SUMMEROFCODE-Day 2 Lifts-grades.csv\r\n", "SUMMEROFCODE-Day 3 Door codes-grades.csv\r\n", "SUMMEROFCODE-Day 4 Beach labyrinth-grades.csv\r\n", "SUMMEROFCODE-Day 5 Laser display boards-grades.csv\r\n", "TMA01_Question3_Solutions.ipynb\r\n" ] } ], "source": [ "!ls" ] }, { "cell_type": "code", "execution_count": 102, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['SUMMEROFCODE-Day 0 Warm up holiday prices-grades.csv',\n", " 'SUMMEROFCODE-Day 1 Choosing a holiday-grades.csv',\n", " 'SUMMEROFCODE-Day 2 Lifts-grades.csv',\n", " 'SUMMEROFCODE-Day 3 Door codes-grades.csv',\n", " 'SUMMEROFCODE-Day 4 Beach labyrinth-grades.csv',\n", " 'SUMMEROFCODE-Day 5 Laser display boards-grades.csv']" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" } ], "source": [ "csvs = !ls *csv\n", "csvs" ] }, { "cell_type": "code", "execution_count": 114, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def update_grades():\n", " for i in imp.find(modifiers={\"$snapshot\": True}):\n", " imp.update_one({'_id': i['_id']},\n", " {'$set': {'grade': i['Grade/10']['00'],\n", " 'q1': i['Q'][' 1 /5']['00'],\n", " 'q2': i['Q'][' 2 /5']['00']},\n", " '$unset': {'Grade/10': '', 'Q': ''}})" ] }, { "cell_type": "code", "execution_count": 109, "metadata": {}, "outputs": [], "source": [ "def update_dates():\n", " for i in imp.find(modifiers={\"$snapshot\": True}):\n", " starttime = datetime.strptime(i['Started on'].strip(), '%d %b %Y %H:%M')\n", " if i['Completed'] == '-':\n", " imp.update_one({'_id': i['_id']},\n", " {'$set': {'started': starttime},\n", " '$unset': {'Started on': '', 'Completed': '', 'Time taken': ''}})\n", " else:\n", " endtime = datetime.strptime(i['Completed'].strip(), '%d %b %Y %H:%M')\n", " imp.update_one({'_id': i['_id']},\n", " {'$set': {'started': starttime,\n", " 'completed': endtime},\n", " '$unset': {'Started on': '', 'Completed': '', 'Time taken': ''}})" ] }, { "cell_type": "code", "execution_count": 110, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def merge_imported(icma_number):\n", " icmas.delete_many({'icma_number': icma_number})\n", "\n", " for i in imp.find(modifiers={\"$snapshot\": True}):\n", " del i['_id']\n", " i['icma_number'] = icma_number\n", " icmas.insert_one(i)" ] }, { "cell_type": "code", "execution_count": 111, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['SUMMEROFCODE-Day 0 Warm up holiday prices-grades.csv',\n", " 'SUMMEROFCODE-Day 1 Choosing a holiday-grades.csv',\n", " 'SUMMEROFCODE-Day 2 Lifts-grades.csv',\n", " 'SUMMEROFCODE-Day 3 Door codes-grades.csv',\n", " 'SUMMEROFCODE-Day 4 Beach labyrinth-grades.csv',\n", " 'SUMMEROFCODE-Day 5 Laser display boards-grades.csv']" ] }, "execution_count": 111, "metadata": {}, "output_type": "execute_result" } ], "source": [ "csvs = !ls *csv\n", "csvs" ] }, { "cell_type": "code", "execution_count": 123, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 123, "metadata": {}, "output_type": "execute_result" } ], "source": [ "icmas.delete_many({})" ] }, { "cell_type": "code", "execution_count": 132, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "SUMMEROFCODE-Day 0 Warm up holiday prices-grades.csv\n", "2017-07-22T15:24:32.622+0100\tconnected to: localhost\n", "2017-07-22T15:24:32.622+0100\tdropping: summerofcode.imp\n", "2017-07-22T15:24:32.629+0100\timported 285 documents\n", "SUMMEROFCODE-Day 1 Choosing a holiday-grades.csv\n", "2017-07-22T15:24:32.971+0100\tconnected to: localhost\n", "2017-07-22T15:24:32.971+0100\tdropping: summerofcode.imp\n", "2017-07-22T15:24:32.974+0100\timported 137 documents\n", "SUMMEROFCODE-Day 2 Lifts-grades.csv\n", "2017-07-22T15:24:33.202+0100\tconnected to: localhost\n", "2017-07-22T15:24:33.202+0100\tdropping: summerofcode.imp\n", "2017-07-22T15:24:33.204+0100\timported 92 documents\n", "SUMMEROFCODE-Day 3 Door codes-grades.csv\n", "2017-07-22T15:24:33.394+0100\tconnected to: localhost\n", "2017-07-22T15:24:33.394+0100\tdropping: summerofcode.imp\n", "2017-07-22T15:24:33.396+0100\timported 77 documents\n", "SUMMEROFCODE-Day 4 Beach labyrinth-grades.csv\n", "2017-07-22T15:24:33.573+0100\tconnected to: localhost\n", "2017-07-22T15:24:33.573+0100\tdropping: summerofcode.imp\n", "2017-07-22T15:24:33.575+0100\timported 79 documents\n", "SUMMEROFCODE-Day 5 Laser display boards-grades.csv\n", "2017-07-22T15:24:33.753+0100\tconnected to: localhost\n", "2017-07-22T15:24:33.753+0100\tdropping: summerofcode.imp\n", "2017-07-22T15:24:33.755+0100\timported 57 documents\n" ] } ], "source": [ "for csv in csvs:\n", " print(csv)\n", " qcsv = \"'{}'\".format(csv)\n", " !mongoimport --drop --db summerofcode --collection imp --type csv --headerline --ignoreBlanks --file {qcsv}\n", " imp.delete_many({'Surname': 'Overall average'})\n", " update_grades()\n", " update_dates()\n", " merge_imported(int(csv.split()[1]))" ] }, { "cell_type": "code", "execution_count": 134, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "721" ] }, "execution_count": 134, "metadata": {}, "output_type": "execute_result" } ], "source": [ "icmas.find({}, ['icma']).count()" ] }, { "cell_type": "code", "execution_count": 138, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'_id': 3, 'count': 76},\n", " {'_id': 2, 'count': 91},\n", " {'_id': 5, 'count': 56},\n", " {'_id': 4, 'count': 78},\n", " {'_id': 1, 'count': 136},\n", " {'_id': 0, 'count': 284}]" ] }, "execution_count": 138, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pipeline = [{\"$group\": {\"_id\": \"$icma_number\", \"count\": {\"$sum\": 1}}}]\n", "list(icmas.aggregate(pipeline))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "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": "3.5.2+" } }, "nbformat": 4, "nbformat_minor": 2 }