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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Lists"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import project"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "r\n",
+ "w\n",
+ "An\n",
+ "Andre\n",
+ "Fred\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Warmup: string review\n",
+ "# Predict the output of the following statments\n",
+ "name = \"Andrew\"\n",
+ "print(name[3]) # this is called indexing\n",
+ "print(name[-1])\n",
+ "print(name[:2]) # this is called slicing\n",
+ "print(name[:-1])\n",
+ "\n",
+ "# Try this: change only the last letter of the name to \"a\" so that name = \"Andrea\"\n",
+ "# name[-1] = \"a\"\n",
+ "\n",
+ "# Takeaway:\n",
+ "# you cannot edit a string using slicing or indexing\n",
+ "# because strings are immutable\n",
+ "\n",
+ "# But what about....\n",
+ "name = \"Fred\" # this is called reassignment and is allowed\n",
+ "print(name)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Learning Objectives"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "- Create a list and use sequence operations on a list.\n",
+ "- Write loops that process lists\n",
+ "- Explain key differences between strings and lists: type flexibility, mutability\n",
+ "- Mutate a list using:\n",
+ " - indexing\n",
+ " - methods such as append, extend, sort, and pop\n",
+ "- split() a string into a list\n",
+ "- join() list elements into a string"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Motivation for lists:\n",
+ "\n",
+ "- what if we want to store a sequence of numbers or a sequence of numbers and strings?\n",
+ "- lists enable us to create flexible sequences: we can store anything inside a list as item, including:\n",
+ " - int\n",
+ " - float\n",
+ " - str\n",
+ " - bool\n",
+ " - other lists, etc.,"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "day = \"Monday\"\n",
+ "\n",
+ "# first quotation indicates beginning of string sequence\n",
+ "# second quotation indicates end of string sequence"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "empty_list = []\n",
+ "some_nums = [4, 8, 10, 14, 94]\n",
+ "\n",
+ "# [ indicates beginning of sequence\n",
+ "# ] indicates end of sequence"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "5\n",
+ "broccoli\n",
+ "oranges\n",
+ "['broccoli', 'spinach']\n"
+ ]
+ }
+ ],
+ "source": [
+ "grocery_list = [\"apples\", \"milk\", \"broccoli\", \"spinach\", \"oranges\"] \n",
+ "\n",
+ "# TODO: compute length of grocery_list\n",
+ "print(len(grocery_list))\n",
+ "\n",
+ "# TODO: use indexing to display broccoli\n",
+ "print(grocery_list[2])\n",
+ "\n",
+ "# TODO: use indexing to display last item\n",
+ "print(grocery_list[-1])\n",
+ "\n",
+ "# TODO: use slicing to extract only the vegetables\n",
+ "print(grocery_list[2:4])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "oranges\n"
+ ]
+ }
+ ],
+ "source": [
+ "# TODO: discuss why the following gives IndexError\n",
+ "# print(grocery_list[len(grocery_list)])\n",
+ "\n",
+ "# we can fix it like this:\n",
+ "print(grocery_list[len(grocery_list) - 1])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Write loops that process lists"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "apples\n",
+ "milk\n",
+ "broccoli\n",
+ "spinach\n",
+ "oranges\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Iterate over every item in grocery_list to display:\n",
+ "# <Item> purchased!\n",
+ "\n",
+ "for food_item in grocery_list:\n",
+ " print(food_item)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[4, 8, 10, 14, 94]"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# initialize: some_nums = [4, 8, 10, 14, 94]\n",
+ "some_nums"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Compute sum of numbers in some_nums\n",
+ "# Let's do this example using PythonTutor\n",
+ "some_nums = [4, 8, 10, 14, 94]\n",
+ "\n",
+ "total = 0\n",
+ "\n",
+ "# TODO: for loop to iterate over each number in some_nums\n",
+ "for number in some_nums:\n",
+ " total += number\n",
+ " \n",
+ "print(total)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "20"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# We can use a list instead of a variable for each operation\n",
+ "[10, 20, 30][1]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[20, 30]"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# We can use a list instead of a variable for each operation\n",
+ "[10, 20, 30][1:]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "10"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "[10][0]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "How does Python differentiate between two different usages of `[]`?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['apples', 'milk', 'broccoli', 'spinach', 'oranges']\n",
+ "broccoli\n",
+ "longword\n",
+ "None\n"
+ ]
+ }
+ ],
+ "source": [
+ "def longest_word(word_list):\n",
+ " '''Given a list of strings, return the string with the longest length.\n",
+ " If more than one, return the first one.'''\n",
+ "\n",
+ " max_length = 0\n",
+ " longest_word = None\n",
+ " \n",
+ " for word in word_list:\n",
+ " if len(word) > max_length:\n",
+ " longest_word = word\n",
+ " max_length = len(word)\n",
+ "\n",
+ " return longest_word\n",
+ "\n",
+ "print(grocery_list)\n",
+ "print(longest_word(grocery_list))\n",
+ "print(longest_word([\"longword\", \"aaaa\", \"xyz\", \"hello\"]))\n",
+ "print(longest_word([]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Other sequence operations\n",
+ "\n",
+ "- concatentation using `+`\n",
+ "- `in`\n",
+ "- multiply by an `int`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Happy Monday :)\n",
+ "[11, 22, 33, 44, 1, 2, 3]\n"
+ ]
+ }
+ ],
+ "source": [
+ "msg = \"Happy \"\n",
+ "print(msg + \"Monday :)\")\n",
+ "\n",
+ "some_nums = [11, 22, 33, 44]\n",
+ "print(some_nums + [1, 2, 3]) # `+` concatenates two lists"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "True\n",
+ "False\n",
+ "True\n",
+ "True\n",
+ "False\n"
+ ]
+ }
+ ],
+ "source": [
+ "msg = \"Happy\"\n",
+ "print(\"H\" in msg)\n",
+ "print(\"h\" in msg)\n",
+ "print(\"app\" in msg)\n",
+ "\n",
+ "some_nums = [11, 22, 33, 44]\n",
+ "print(33 in some_nums)\n",
+ "print(55 in some_nums)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Happy :)Happy :)Happy :)\n",
+ "['Go', 'Badgers!', 'Go', 'Badgers!', 'Go', 'Badgers!']\n"
+ ]
+ }
+ ],
+ "source": [
+ "msg = \"Happy :)\"\n",
+ "print(msg * 3)\n",
+ "\n",
+ "print([\"Go\", \"Badgers!\"] * 3)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Strings versus lists\n",
+ "\n",
+ "<div>\n",
+ "<img src=\"attachment:Mutation.png\" width=\"600\"/>\n",
+ "</div>"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Difference 1: lists are flexible"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "hello\n",
+ "14\n",
+ "True\n",
+ "5.678\n",
+ "None\n",
+ "['list', 'inside', 'a', 'list']\n",
+ "\n",
+ "hello\n",
+ "14\n",
+ "True\n",
+ "5.678\n",
+ "We're at index 3\n",
+ "None\n",
+ "['list', 'inside', 'a', 'list']\n",
+ "\n",
+ "['list', 'inside', 'a', 'list']\n",
+ "\n",
+ "<class 'list'>\n",
+ "inside\n"
+ ]
+ }
+ ],
+ "source": [
+ "# String sequence can only contain characters as items\n",
+ "# List sequence can contain anything as an item\n",
+ "\n",
+ "l = [\"hello\", 14, True, 5.678, None, [\"list\", \"inside\", \"a\", \"list\"]]\n",
+ "\n",
+ "# TODO: fix the bug in this loop\n",
+ "# FIX 1\n",
+ "for i in l:\n",
+ " print(i) # this is one solution \n",
+ "# print(l[i])\n",
+ "\n",
+ "print()\n",
+ "# FIX 2\n",
+ "for i in range(len(l)):\n",
+ " print(l[i]) \n",
+ " if i == 3:\n",
+ " print(\"We're at index 3\")\n",
+ "\n",
+ "print()\n",
+ "# TODO: use indexing to extract and print the inner list\n",
+ "print(l[-1])\n",
+ "print()\n",
+ "\n",
+ "# TODO: print type of last item in l\n",
+ "print(type(l[-1]))\n",
+ "\n",
+ "# TODO: use double indexing to extract \"inside\"\n",
+ "print(l [-1] [1])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ ". . . . . S \n",
+ ". S S S . S \n",
+ ". . . . . S \n",
+ ". . . . . . \n",
+ ". . . . S . \n",
+ ". . . . S . \n"
+ ]
+ }
+ ],
+ "source": [
+ "# List of lists usecase example\n",
+ "\n",
+ "game_grid = [\n",
+ "[\".\", \".\", \".\", \".\", \".\", \"S\"],\n",
+ "[\".\", \"S\", \"S\", \"S\", \".\", \"S\"],\n",
+ "[\".\", \".\", \".\", \".\", \".\", \"S\"],\n",
+ "[\".\", \".\", \".\", \".\", \".\", \".\"],\n",
+ "[\".\", \".\", \".\", \".\", \"S\", \".\"],\n",
+ "[\".\", \".\", \".\", \".\", \"S\", \".\"]\n",
+ "]\n",
+ "\n",
+ "for row in game_grid:\n",
+ " for position in row:\n",
+ " print(position, end = \" \")\n",
+ " print()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Difference 2: lists are mutable\n",
+ "\n",
+ "<div>\n",
+ "<img src=\"attachment:Mutability.png\" width=\"600\"/>\n",
+ "</div>\n",
+ "\n",
+ "- Mutability has nothing to do with variable assignments / re-assignments\n",
+ "- Mutability has to do with changing values inside a sequence"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CDE\n",
+ "[3, 4]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Variables can always be re-assigned\n",
+ "\n",
+ "s = \"AB\"\n",
+ "s = \"CD\"\n",
+ "s += \"E\" \n",
+ "# remember, s += \"E\" is shorthand for s = s + \"E\"\n",
+ "print(s)\n",
+ "\n",
+ "nums = [1, 2]\n",
+ "nums = [3, 4]\n",
+ "print(nums)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'a' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[38], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m name \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAndrew\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m# TODO: let's try to change \"Andrew\" to \"Andrea\"\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m name[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43ma\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m# doesn't work because strings are immutable, that is you cannot change the value inside an existing string\u001b[39;00m\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "name = \"Andrew\"\n",
+ "\n",
+ "# TODO: let's try to change \"Andrew\" to \"Andrea\"\n",
+ "name[-1] = a\n",
+ "\n",
+ "# doesn't work because strings are immutable, that is you cannot change the value inside an existing string"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[2, 2, 0]\n"
+ ]
+ }
+ ],
+ "source": [
+ "nums = [2, 2, 9]\n",
+ "\n",
+ "# TODO: change 9 to 0\n",
+ "nums[2] = 0\n",
+ "\n",
+ "print(nums)\n",
+ "\n",
+ "# works because lists are mutable, that is you can change the value inside an existing list"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Mutating a list\n",
+ "\n",
+ "- update using index (works only for existing index)\n",
+ "- `append` method\n",
+ "- `extend` method\n",
+ "- `pop` method\n",
+ "- `sort` method\n",
+ "\n",
+ "Unlike string methods, list methods mutate the original list. String methods produce a new string because strings are immutable."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "IndexError",
+ "evalue": "list assignment index out of range",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[40], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m grocery_list \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mapples\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmilk\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbroccoli\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mspinach\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moranges\u001b[39m\u001b[38;5;124m\"\u001b[39m] \n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m# TODO: try to add \"blueberries\" at index 5\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m \u001b[43mgrocery_list\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m]\u001b[49m \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mblueberries\u001b[39m\u001b[38;5;124m\"\u001b[39m \n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m# doesn't work because grocery_list does not contain a previous item at index 5\u001b[39;00m\n",
+ "\u001b[0;31mIndexError\u001b[0m: list assignment index out of range"
+ ]
+ }
+ ],
+ "source": [
+ "grocery_list = [\"apples\", \"milk\", \"broccoli\", \"spinach\", \"oranges\"] \n",
+ "\n",
+ "# TODO: try to add \"blueberries\" at index 5\n",
+ "grocery_list[5] = \"blueberries\" \n",
+ "# doesn't work because grocery_list does not contain a previous item at index 5"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "So, how do we add a new item to a list?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['apples', 'milk', 'broccoli', 'spinach', 'oranges', 'blueberries']\n"
+ ]
+ }
+ ],
+ "source": [
+ "grocery_list.append(\"blueberries\")\n",
+ "print(grocery_list)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Can we add multiple items using `append`?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "TypeError",
+ "evalue": "list.append() takes exactly one argument (3 given)",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[42], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Let's try to add \"peanut butter\", \"jelly\", \"bread\"\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mgrocery_list\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mappend\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpeanut butter\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mjelly\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mbread\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;66;03m# doesn't work because append only accepts a single argument\u001b[39;00m\n",
+ "\u001b[0;31mTypeError\u001b[0m: list.append() takes exactly one argument (3 given)"
+ ]
+ }
+ ],
+ "source": [
+ "# Let's try to add \"peanut butter\", \"jelly\", \"bread\"\n",
+ "grocery_list.append(\"peanut butter\", \"jelly\", \"bread\")\n",
+ "# doesn't work because append only accepts a single argument"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['apples', 'milk', 'broccoli', 'spinach', 'oranges', 'blueberries', ['peanut butter', 'jelly', 'bread']]\n"
+ ]
+ }
+ ],
+ "source": [
+ "grocery_list.append([\"peanut butter\", \"jelly\", \"bread\"])# adds the list argument as such\n",
+ "print(grocery_list)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "apples\n",
+ "milk\n",
+ "broccoli\n",
+ "spinach\n",
+ "oranges\n",
+ "blueberries\n",
+ "['peanut butter', 'jelly', 'bread']\n"
+ ]
+ }
+ ],
+ "source": [
+ "for item in grocery_list:\n",
+ " print(item)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`extend` method will enable us to add every item in argument list to the original list as individual item."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['apples', 'milk', 'broccoli', 'spinach', 'oranges', 'blueberries', ['peanut butter', 'jelly', 'bread'], 'falafel', 'pita bread', 'hummus']\n"
+ ]
+ }
+ ],
+ "source": [
+ "grocery_list.extend([\"falafel\", \"pita bread\", \"hummus\"])\n",
+ "print(grocery_list)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "apples\n",
+ "milk\n",
+ "broccoli\n",
+ "spinach\n",
+ "oranges\n",
+ "blueberries\n",
+ "['peanut butter', 'jelly', 'bread']\n",
+ "falafel\n",
+ "pita bread\n",
+ "hummus\n"
+ ]
+ }
+ ],
+ "source": [
+ "for item in grocery_list:\n",
+ " print(item)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`pop` enables us to remove item from the list:\n",
+ "\n",
+ "- by default pop() removes the last item from the list\n",
+ "- you can override that by passing an index as argument\n",
+ "- pop remove the item from the original list and also returns it"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'hummus'"
+ ]
+ },
+ "execution_count": 47,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grocery_list.pop()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['apples',\n",
+ " 'milk',\n",
+ " 'broccoli',\n",
+ " 'spinach',\n",
+ " 'oranges',\n",
+ " 'blueberries',\n",
+ " ['peanut butter', 'jelly', 'bread'],\n",
+ " 'falafel',\n",
+ " 'pita bread']"
+ ]
+ },
+ "execution_count": 48,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grocery_list"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "oranges\n",
+ "['apples', 'milk', 'broccoli', 'spinach', 'blueberries', ['peanut butter', 'jelly', 'bread'], 'falafel', 'pita bread']\n"
+ ]
+ }
+ ],
+ "source": [
+ "# TODO: remove \"oranges\" from grocery_list and store it into a variable\n",
+ "some_fruit = grocery_list.pop(4) # this works\n",
+ "# another option: (I'm not running line 4 because we already removed oranges)\n",
+ "# some_fruit = grocery_list.pop ( grocery_list.index(\"oranges\") )\n",
+ "print(some_fruit)\n",
+ "print(grocery_list)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`index` lets us find the index of the argument we pass\n",
+ "* `index(item)` returns the index of the *first* occurence of `item` in the list\n",
+ "* But be careful - `index` throws an error if `item` is not in the list"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3"
+ ]
+ },
+ "execution_count": 50,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grocery_list.index(\"spinach\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "ValueError",
+ "evalue": "'spi' is not in list",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[67], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgrocery_list\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mspi\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
+ "\u001b[0;31mValueError\u001b[0m: 'spi' is not in list"
+ ]
+ }
+ ],
+ "source": [
+ "grocery_list.index(\"spi\")\n",
+ "# we need the entire element, not just the first"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "None\n"
+ ]
+ }
+ ],
+ "source": [
+ "oranges_index = None\n",
+ "if 'oranges' in grocery_list:\n",
+ " oranges_index = grocery_list.index('oranges')\n",
+ "print(oranges_index)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`sort` method enables us to sort the list using alphanumeric ordering.\n",
+ "\n",
+ "TODO: Try sorting each of the following lists."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "L = [38, 1, 39, -3, 10] # TODO: initialize list with some unordered numbers\n",
+ "\n",
+ "L.sort()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[-3, 1, 10, 38, 39]"
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "L"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "None\n"
+ ]
+ }
+ ],
+ "source": [
+ "L = ['cat', 'dog', 'CATS', 'fish'] # TODO: initialize list with some unordered strings\n",
+ "\n",
+ "print(L.sort())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['CATS', 'cat', 'dog', 'fish']"
+ ]
+ },
+ "execution_count": 58,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "L"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[False, False, True, True, True]\n"
+ ]
+ }
+ ],
+ "source": [
+ "L = [False, True, False, True, True]\n",
+ "\n",
+ "L.sort()\n",
+ "print(L)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "TypeError",
+ "evalue": "'<' not supported between instances of 'int' and 'str'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[60], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m L \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstr\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2.0\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m]\n\u001b[0;32m----> 2\u001b[0m \u001b[43mL\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# Doesn't work as you cannot compare different types!\u001b[39;00m\n",
+ "\u001b[0;31mTypeError\u001b[0m: '<' not supported between instances of 'int' and 'str'"
+ ]
+ }
+ ],
+ "source": [
+ "L = [\"str\", 1, 2.0, False]\n",
+ "L.sort() # Doesn't work as you cannot compare different types!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[True, False, True]\n"
+ ]
+ }
+ ],
+ "source": [
+ "L = [True, False, True]\n",
+ "L.sort\n",
+ "print(L)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`split` method splits a string into a list of strings, using a separator (argument)\n",
+ "- Syntax: some_string.split(separator_string)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['a', 'quick', 'brown', 'fox']"
+ ]
+ },
+ "execution_count": 61,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sentence = \"a,quick,brown,fox\"\n",
+ "words = sentence.split(\",\")\n",
+ "words"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`join` method joins a list of strings into a single string using a separator (argument)\n",
+ "- Syntax: separator_string.join(some_list)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'MISSISSIPP'"
+ ]
+ },
+ "execution_count": 63,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "characters = [\"M\", \"SS\", \"SS\", \"PP\", \"\"]\n",
+ "place = \"I\".join(characters)\n",
+ "place\n",
+ "\n",
+ "# TODO: remove the last item in characters list and see what place you get (re-run cell)\n",
+ "\n",
+ "characters = [\"M\", \"SS\", \"SS\", \"PP\"]\n",
+ "place = \"I\".join(characters)\n",
+ "place"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### List all Engineering majors (primary major) among current lecture (example: LEC001) students"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['Engineering: Biomedical', 'Engineering: Mechanical', 'Engineering: Industrial', 'Engineering: Other', 'Engineering: Other|Civil- Intelligent Transportation System']\n"
+ ]
+ }
+ ],
+ "source": [
+ "engineering_list = []\n",
+ "for idx in range(project.count()):\n",
+ " lecture = project.get_lecture(idx)\n",
+ " major = project.get_major(idx)\n",
+ " \n",
+ " if lecture == \"LEC001\":\n",
+ " if \"Engineering\" in major:\n",
+ " if major in engineering_list:\n",
+ " continue\n",
+ " engineering_list.append(major)\n",
+ " \n",
+ "print(engineering_list)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Profanity filtering"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "bad_words = [\"omg\", \"midterm\", \"exam\"]\n",
+ "\n",
+ "def censor(input_string):\n",
+ " \"\"\"\n",
+ " replaces every bad word in input string with that word's first\n",
+ " letter and then * for the remaining characters\n",
+ " \"\"\"\n",
+ " # TODO: use split to extract every word \n",
+ " \n",
+ " # TODO: Iterate over every word: 1. check if word is in bad_words 2. compute replacement 3. replace word\n",
+ " \n",
+ " # TODO: join the words back using the correct separator and return the joined string\n",
+ " \n",
+ "censor(\"omg the midterm was so awesome!\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Wordle (self-study example)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Welcome to PyWordle!\n",
+ "You have 6 guesses to guess a 5 character word.\n",
+ "X\tThe letter is not in the word.\n",
+ "_\tThe letter is in the word, but in the wrong place.\n",
+ "O\tThe letter is in the correct place!\n",
+ "Guess the word: HOTEL\n",
+ "HOTEL\tXXX_X\n",
+ "Guess the word: CRANE\n",
+ "CRANE\tOOOOO\n",
+ "You won in 2 guesses!\n"
+ ]
+ }
+ ],
+ "source": [
+ "def get_wordle_results(guess):\n",
+ " wordle_result = \"\"\n",
+ " for i in range(len(guess)):\n",
+ " if guess[i] == word_of_the_day[i]:\n",
+ " wordle_result += \"O\"\n",
+ " elif word_of_the_day.find(guess[i]) != -1:\n",
+ " wordle_result += \"_\"\n",
+ " else:\n",
+ " wordle_result += \"X\"\n",
+ " return wordle_result\n",
+ "\n",
+ "max_num_guesses = 6\n",
+ "current_num_guesses = 1\n",
+ "word_of_the_day = \"CRANE\"\n",
+ "\n",
+ "print(\"Welcome to PyWordle!\")\n",
+ "print(\"You have 6 guesses to guess a 5 character word.\")\n",
+ "print(\"X\\tThe letter is not in the word.\")\n",
+ "print(\"_\\tThe letter is in the word, but in the wrong place.\")\n",
+ "print(\"O\\tThe letter is in the correct place!\")\n",
+ "\n",
+ "while current_num_guesses <= max_num_guesses:\n",
+ " guess = input(\"Guess the word: \")\n",
+ " guess = guess.upper()\n",
+ "\n",
+ " wordle_results = get_wordle_results(guess)\n",
+ " print(\"{}\\t{}\".format(guess, wordle_results))\n",
+ " if guess == word_of_the_day:\n",
+ " break\n",
+ " current_num_guesses += 1\n",
+ " \n",
+ "if current_num_guesses > max_num_guesses:\n",
+ " print(\"Better luck next time!\")\n",
+ " print(\"The word was: {}\".format(word_of_the_day))\n",
+ "else:\n",
+ " print(\"You won in {} guesses!\".format(current_num_guesses))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "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": "3.10.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/sum23/lecture_materials/10_CSV/lec_10_CSV_notes.ipynb b/sum23/lecture_materials/10_CSV/lec_10_CSV_notes.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..ffbeba749225f66aced86b14ceda63898c1bed21
--- /dev/null
+++ b/sum23/lecture_materials/10_CSV/lec_10_CSV_notes.ipynb
@@ -0,0 +1,11543 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "72348536",
+ "metadata": {},
+ "source": [
+ "# Comma Separated Values (CSV)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "ba562f5e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import csv"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ddcf7595",
+ "metadata": {},
+ "source": [
+ "### Warmup 1\n",
+ "\n",
+ "- Use `list` type's `index` method to lookup index of \"ice cream\"\n",
+ "- Take a look at other list methods: https://www.w3schools.com/python/python_ref_list.asp"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a0fecc18",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dairy = [\"milk\", \"ice cream\", \"cheese\", \"yogurt\" ]\n",
+ "print()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a1a4e2e7",
+ "metadata": {},
+ "source": [
+ "### Warmup 2 \n",
+ "Use `in` operator to complete the condition to check if food_shelf contains any dairy products."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "eae06501",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "food_shelf = [\"peanut butter\", \"milk\", \"bread\", \"cheese\", \"YOGURT\"]\n",
+ "for item in food_shelf:\n",
+ " if ???:\n",
+ " print(item, \"is dairy\")\n",
+ " else:\n",
+ " print(item, \"is not dairy\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8a5f548e",
+ "metadata": {},
+ "source": [
+ "## Warmup 3\n",
+ "Determine median of a list.\n",
+ "\n",
+ "Examples:\n",
+ "- Median of [1, 2, 3, 4, 5] is: 3\n",
+ "- Median of [1, 2, 3, 4, 5, 6] is: 3.5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2f610ffe",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def median(some_items):\n",
+ " \"\"\"\n",
+ " Returns median of a list passed as argument\n",
+ " \"\"\"\n",
+ " pass"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e9340eaa",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "nums = [5, 4, 3, 2, 1]\n",
+ "print(nums, median(nums))\n",
+ "\n",
+ "nums = [6, 5, 4, 3, 2, 1]\n",
+ "print(nums, median(nums))\n",
+ "\n",
+ "vals = [\"A\", \"C\", \"B\"]\n",
+ "print(nums, median(vals))\n",
+ "\n",
+ "vals = [\"A\", \"C\", \"B\", \"D\"]\n",
+ "# print(nums, median(vals)) # does not work due to TypeError"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a9d5085c",
+ "metadata": {},
+ "source": [
+ "## Learning Objectives:\n",
+ "\n",
+ "- Open an Excel file and export it to a Comma Separated Value file.\n",
+ "- Open a CSV file in TextEditor/Jupyter and connect the elements of the CSV file to the rows and columns in the spreadsheet.\n",
+ "- Use pre-written Python code to read a CSV file into a list of lists.\n",
+ "- Write Python statements with double list indexing to access any element of a CSV file via a list of lists.\n",
+ "- Write code that answers questions about CSV data by writing for loops on lists of lists."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "9d936c1c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# inspired by https://automatetheboringstuff.com/2e/chapter16/\n",
+ "def process_csv(filename):\n",
+ " # open the file, its a text file utf-8\n",
+ " example_file = open(filename, encoding=\"utf-8\")\n",
+ " # prepare it for reading as a CSV object\n",
+ " example_reader = csv.reader(example_file)\n",
+ " # use the built-in list function to convert this into a list of lists\n",
+ " example_data = list(example_reader)\n",
+ " # close the file to tidy up our workspace\n",
+ " example_file.close()\n",
+ " # return the list of lists\n",
+ " \n",
+ " return example_data"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "89621c98",
+ "metadata": {},
+ "source": [
+ "### Student Information Survey data"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "d3c252b4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# TODO: call the process_csv function and store the list of lists in cs220_csv\n",
+ "cs220_csv = process_csv('cs220_survey_data.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "5ea86019",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[['Lecture',\n",
+ " 'Age',\n",
+ " 'Major',\n",
+ " 'Zip Code',\n",
+ " 'Latitude',\n",
+ " 'Longitude',\n",
+ " 'Pizza topping',\n",
+ " 'Pet preference',\n",
+ " 'Runner',\n",
+ " 'Sleep habit',\n",
+ " 'Procrastinator'],\n",
+ " ['LEC001',\n",
+ " '22',\n",
+ " 'Engineering: Biomedical',\n",
+ " '53703',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC006',\n",
+ " '',\n",
+ " 'Undecided',\n",
+ " '53706',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC004',\n",
+ " '18',\n",
+ " 'Engineering: Industrial',\n",
+ " '53715',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '',\n",
+ " 'Undecided',\n",
+ " '53706',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC002',\n",
+ " '',\n",
+ " 'Undecided',\n",
+ " '53706',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC004',\n",
+ " '18',\n",
+ " 'Engineering: Other|Engineering: Computer',\n",
+ " '53706',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC003',\n",
+ " '',\n",
+ " 'Undecided',\n",
+ " '53706',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC003',\n",
+ " '18',\n",
+ " 'Data Science',\n",
+ " '53715',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'pineapple',\n",
+ " 'cat',\n",
+ " 'Yes',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC006',\n",
+ " '18',\n",
+ " 'Data Science',\n",
+ " '53706',\n",
+ " '35.4',\n",
+ " '119.11',\n",
+ " 'none (just cheese)',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC006',\n",
+ " '18',\n",
+ " 'Mathematics/AMEP',\n",
+ " '53706',\n",
+ " '44',\n",
+ " '-93',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC002',\n",
+ " '21',\n",
+ " 'Engineering: Other',\n",
+ " '53703',\n",
+ " '24.713552',\n",
+ " '46.675297',\n",
+ " 'none (just cheese)',\n",
+ " 'cat',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Maybe'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Data Science',\n",
+ " '53705',\n",
+ " '24.6806',\n",
+ " '46.57936',\n",
+ " 'pineapple',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'early bird',\n",
+ " 'No'],\n",
+ " ['LEC004',\n",
+ " '24',\n",
+ " 'Economics',\n",
+ " '53703',\n",
+ " '43',\n",
+ " '-89',\n",
+ " 'pineapple',\n",
+ " 'cat',\n",
+ " 'Yes',\n",
+ " 'early bird',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '18',\n",
+ " 'Data Science',\n",
+ " '53706',\n",
+ " '36.102371',\n",
+ " '-115.174553',\n",
+ " 'none (just cheese)',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC006',\n",
+ " '22',\n",
+ " 'Psychology',\n",
+ " '53703',\n",
+ " '31.78',\n",
+ " '119.95',\n",
+ " 'mushroom',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC005',\n",
+ " '20',\n",
+ " 'Data Science',\n",
+ " '53705',\n",
+ " '37.8',\n",
+ " '112.5',\n",
+ " 'pepperoni',\n",
+ " 'cat',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC004',\n",
+ " '24',\n",
+ " 'Science: Biology/Life',\n",
+ " '53703',\n",
+ " '46.872131',\n",
+ " '-113.994019',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'early bird',\n",
+ " 'Yes'],\n",
+ " ['LEC004',\n",
+ " '17',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53706',\n",
+ " '46.6242',\n",
+ " '8.0414',\n",
+ " 'pineapple',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC004',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53726',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'early bird',\n",
+ " 'No'],\n",
+ " ['LEC002',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '57303',\n",
+ " '41.878113',\n",
+ " '-87.629799',\n",
+ " 'pineapple',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '',\n",
+ " 'Mathematics/AMEP',\n",
+ " '53706',\n",
+ " '31.230391',\n",
+ " '121.473701',\n",
+ " 'basil/spinach',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC002',\n",
+ " '19',\n",
+ " 'Mathematics/AMEP',\n",
+ " '53558',\n",
+ " '40.712776',\n",
+ " '-74.005974',\n",
+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '20',\n",
+ " 'Economics (Mathematical Emphasis)',\n",
+ " '53703',\n",
+ " '48.86',\n",
+ " '2.3522',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'early bird',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53703',\n",
+ " '24.7',\n",
+ " '46.7',\n",
+ " 'mushroom',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'early bird',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '18',\n",
+ " 'Computer Science',\n",
+ " '53703',\n",
+ " '37.338207',\n",
+ " '-121.88633',\n",
+ " 'green pepper',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53558',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC005',\n",
+ " '20',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53715',\n",
+ " '38.9072',\n",
+ " '-77.0369',\n",
+ " 'Other',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '20',\n",
+ " 'Data Science',\n",
+ " '53703',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC002',\n",
+ " '21',\n",
+ " 'Science: Other|Political Science',\n",
+ " '53703',\n",
+ " '31.768318',\n",
+ " '35.213711',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Mathematics/AMEP',\n",
+ " '53715',\n",
+ " '19.075983',\n",
+ " '72.877655',\n",
+ " 'basil/spinach',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Maybe'],\n",
+ " ['LEC001',\n",
+ " '23',\n",
+ " 'Computer Science',\n",
+ " '53711',\n",
+ " '43.073929',\n",
+ " '-89.385239',\n",
+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC006',\n",
+ " '21',\n",
+ " 'Business: Other',\n",
+ " '53715',\n",
+ " '25.761681',\n",
+ " '-80.191788',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Business: Other|Real Estate',\n",
+ " '53715',\n",
+ " '117',\n",
+ " '33',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'No'],\n",
+ " ['LEC004',\n",
+ " '19',\n",
+ " 'Computer Science',\n",
+ " '53726',\n",
+ " '47.037872',\n",
+ " '-122.900696',\n",
+ " 'tater tots',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC004',\n",
+ " '24',\n",
+ " 'Economics',\n",
+ " '53703',\n",
+ " '23.12911',\n",
+ " '113.264381',\n",
+ " 'pepperoni',\n",
+ " 'cat',\n",
+ " 'Yes',\n",
+ " 'early bird',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '19',\n",
+ " 'Data Science',\n",
+ " '53703',\n",
+ " '64.49796',\n",
+ " '165.40998',\n",
+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Data Science',\n",
+ " '53705',\n",
+ " '25',\n",
+ " '47',\n",
+ " 'mushroom',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'early bird',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '20',\n",
+ " 'Engineering: Other|Engineering Physics: Scientific Computing',\n",
+ " '53715',\n",
+ " '43.073051',\n",
+ " '-89.4',\n",
+ " 'none (just cheese)',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC005',\n",
+ " '20',\n",
+ " 'Computer Science',\n",
+ " '53703',\n",
+ " '48.856613',\n",
+ " '2.352222',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC002',\n",
+ " '19',\n",
+ " 'Business: Finance',\n",
+ " '53726',\n",
+ " '43.04156',\n",
+ " '87.91006',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC002',\n",
+ " '21',\n",
+ " 'Data Science',\n",
+ " '53713',\n",
+ " '29.868336',\n",
+ " '121.543991',\n",
+ " 'mushroom',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'No'],\n",
+ " ['LEC004',\n",
+ " '19',\n",
+ " 'Computer Science',\n",
+ " '53715',\n",
+ " '40.712776',\n",
+ " '-74.005974',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Maybe'],\n",
+ " ['LEC003',\n",
+ " '18',\n",
+ " 'Computer Science',\n",
+ " '53706',\n",
+ " '5.93876',\n",
+ " '80.48433',\n",
+ " 'Other',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53704',\n",
+ " '38.7',\n",
+ " '-77',\n",
+ " 'pepperoni',\n",
+ " 'cat',\n",
+ " 'Yes',\n",
+ " 'no preference',\n",
+ " 'No'],\n",
+ " ['LEC004',\n",
+ " '18',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53726',\n",
+ " '41.878113',\n",
+ " '-87.629799',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '19',\n",
+ " 'Engineering: Other',\n",
+ " '53703',\n",
+ " '36.169941',\n",
+ " '-115.139832',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53703',\n",
+ " '43.078104',\n",
+ " '-89.431698',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC006',\n",
+ " '18',\n",
+ " 'Engineering: Biomedical',\n",
+ " '53051',\n",
+ " '33.6846',\n",
+ " '117.8265',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '22',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53719',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'cat',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '18',\n",
+ " 'Computer Science',\n",
+ " '53706',\n",
+ " '26.2992',\n",
+ " '87.2625',\n",
+ " 'mushroom',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'No'],\n",
+ " ['LEC001',\n",
+ " '24',\n",
+ " 'Business: Information Systems',\n",
+ " '53703',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'macaroni/pasta',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'No'],\n",
+ " ['LEC006',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53703',\n",
+ " '43.04049',\n",
+ " '-87.91732',\n",
+ " 'Other',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '',\n",
+ " 'Computer Science',\n",
+ " '53715',\n",
+ " '34.052235',\n",
+ " '-118.243683',\n",
+ " 'green pepper',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC002',\n",
+ " '20',\n",
+ " 'Statistics',\n",
+ " '53703',\n",
+ " '40.7128',\n",
+ " '74.006',\n",
+ " 'Other',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Maybe'],\n",
+ " ['LEC005',\n",
+ " '23',\n",
+ " 'Computer Science',\n",
+ " '53703',\n",
+ " '37.5',\n",
+ " '126.97',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'No'],\n",
+ " ['LEC002',\n",
+ " '21',\n",
+ " 'Statistics',\n",
+ " '53703',\n",
+ " '52.370216',\n",
+ " '4.895168',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'early bird',\n",
+ " 'Maybe'],\n",
+ " ['LEC002',\n",
+ " '18',\n",
+ " 'Undecided',\n",
+ " '53706',\n",
+ " '38.56247',\n",
+ " '-121.70411',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC006',\n",
+ " '18',\n",
+ " 'Statistics',\n",
+ " '53706',\n",
+ " '40.712776',\n",
+ " '40.712776',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '21',\n",
+ " 'Economics',\n",
+ " '53715',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53715',\n",
+ " '45',\n",
+ " '-93',\n",
+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'No'],\n",
+ " ['LEC005',\n",
+ " '21',\n",
+ " 'Business: Finance',\n",
+ " '53717',\n",
+ " '40.6461',\n",
+ " '-111.498',\n",
+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '26',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53703',\n",
+ " '41.902782',\n",
+ " '12.496365',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '25',\n",
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+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC004',\n",
+ " '20',\n",
+ " 'Engineering: Biomedical',\n",
+ " '53715',\n",
+ " '30.328227',\n",
+ " '-86.136975',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC004',\n",
+ " '21',\n",
+ " 'Science: Biology/Life',\n",
+ " '53703',\n",
+ " '41.385063',\n",
+ " '2.173404',\n",
+ " 'macaroni/pasta',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '18',\n",
+ " 'Mathematics/AMEP',\n",
+ " '53706',\n",
+ " '42.99571',\n",
+ " '-90',\n",
+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC004',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53703',\n",
+ " '41.385063',\n",
+ " '2.173404',\n",
+ " 'sausage',\n",
+ " 'dog',\n",
+ " 'Yes',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '',\n",
+ " 'Engineering: Industrial',\n",
+ " '53706',\n",
+ " '40.7128',\n",
+ " '74.006',\n",
+ " 'pepperoni',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'early bird',\n",
+ " 'Yes'],\n",
+ " ['LEC005',\n",
+ " '18',\n",
+ " 'Psychology',\n",
+ " '53706',\n",
+ " '9.167414',\n",
+ " '77.876747',\n",
+ " 'mushroom',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'early bird',\n",
+ " 'No'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Engineering: Industrial',\n",
+ " '53715',\n",
+ " '24.713552',\n",
+ " '46.675297',\n",
+ " 'basil/spinach',\n",
+ " 'neither',\n",
+ " 'Yes',\n",
+ " 'early bird',\n",
+ " 'Maybe'],\n",
+ " ['LEC001',\n",
+ " '18',\n",
+ " 'Undecided',\n",
+ " '53706',\n",
+ " '44.8341',\n",
+ " '87.377',\n",
+ " 'basil/spinach',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Yes'],\n",
+ " ['LEC003',\n",
+ " '19',\n",
+ " 'Engineering: Mechanical',\n",
+ " '53705',\n",
+ " '46.589146',\n",
+ " '-112.039108',\n",
+ " 'none (just cheese)',\n",
+ " 'cat',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Yes'],\n",
+ " ['LEC001',\n",
+ " '20',\n",
+ " 'Economics',\n",
+ " '53703',\n",
+ " '39.631506',\n",
+ " '118.143239',\n",
+ " 'pineapple',\n",
+ " 'dog',\n",
+ " 'No',\n",
+ " 'night owl',\n",
+ " 'Maybe']]"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cs220_csv"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "5838ae5f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['Lecture',\n",
+ " 'Age',\n",
+ " 'Major',\n",
+ " 'Zip Code',\n",
+ " 'Latitude',\n",
+ " 'Longitude',\n",
+ " 'Pizza topping',\n",
+ " 'Pet preference',\n",
+ " 'Runner',\n",
+ " 'Sleep habit',\n",
+ " 'Procrastinator']"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Store the header row into cs220_header, using indexing\n",
+ "cs220_header = cs220_csv[0]\n",
+ "cs220_header"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "66fda88d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[['LEC001',\n",
+ " '22',\n",
+ " 'Engineering: Biomedical',\n",
+ " '53703',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC006',\n",
+ " '',\n",
+ " 'Undecided',\n",
+ " '53706',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe'],\n",
+ " ['LEC004',\n",
+ " '18',\n",
+ " 'Engineering: Industrial',\n",
+ " '53715',\n",
+ " '43.073051',\n",
+ " '-89.40123',\n",
+ " 'none (just cheese)',\n",
+ " 'neither',\n",
+ " 'No',\n",
+ " 'no preference',\n",
+ " 'Maybe']]"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# TODO: Store all of the data rows into cs220_data, using slicing\n",
+ "cs220_data = cs220_csv[1:]\n",
+ "\n",
+ "# TODO: use slicing to display top 3 rows data\n",
+ "cs220_data[:3]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4267fe3e",
+ "metadata": {},
+ "source": [
+ "### What is the Sleep habit for the 2nd student?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "4b8dbe8b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'no preference'"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# bad example: we hard-coded the column index (9)\n",
+ "cs220_data [1] [9]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4f125240",
+ "metadata": {},
+ "source": [
+ "What if we decided to add a new column before sleeping habit? Your code will no longer work.\n",
+ "\n",
+ "Instead of hard-coding column index, you should use `index` method, to lookup column index from the header variable. This will also make your code so much readable."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "f2e52e06",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'no preference'"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cs220_data [1] [cs220_header.index(\"Sleep habit\")]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5d298a4c",
+ "metadata": {},
+ "source": [
+ "### What is the Lecture of the 4th student?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "3617b3de",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'LEC005'"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "cs220_data [3] [cs220_header.index(\"Lecture\")]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "059de363",
+ "metadata": {},
+ "source": [
+ "### Create a list containing Age of all students 10 years from now"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "45909f22",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[32, 28, 28, 28, 28, 28, 31, 29, 34, 28, 32, 30, 34, 27, 29, 29, 29, 30, 29, 28, 29, 30, 30, 31, 29, 33, 31, 29, 29, 34, 29, 29, 30, 30, 29, 31, 29, 28, 29, 28, 29, 29, 28, 32, 28, 34, 29, 30, 33, 31, 28, 28, 31, 29, 31, 36, 35, 28, 29, 27, 29, 31, 29, 28, 29, 29, 28, 28, 29, 29, 28, 30, 29, 28, 28, 31, 29, 29, 32, 28, 28, 28, 28, 28, 29, 28, 28, 30, 30, 28, 30, 28, 31, 30, 30, 31, 28, 31, 29, 28, 32, 28, 29, 30, 31, 35, 27, 29, 29, 27, 31, 28, 29, 31, 29, 29, 30, 30, 29, 31, 27, 28, 35, 28, 28, 29, 36, 31, 32, 28, 30, 31, 30, 29, 29, 28, 28, 30, 28, 29, 29, 31, 28, 28, 29, 28, 29, 28, 28, 28, 28, 29, 30, 27, 28, 29, 31, 29, 31, 32, 28, 28, 30, 28, 29, 28, 30, 28, 29, 28, 30, 28, 28, 29, 28, 27, 31, 30, 29, 29, 28, 29, 28, 29, 30, 29, 30, 29, 28, 29, 28, 28, 30, 28, 28, 28, 32, 28, 27, 31, 28, 30, 28, 28, 28, 31, 28, 29, 28, 28, 29, 28, 27, 29, 29, 30, 30, 31, 32, 28, 29, 31, 34, 29, 30, 31, 28, 28, 33, 28, 31, 30, 28, 32, 29, 28, 29, 31, 29, 30, 30, 29, 30, 33, 30, 30, 29, 28, 30, 30, 28, 29, 30, 30, 30, 30, 28, 27, 28, 33, 31, 31, 28, 32, 28, 30, 28, 34, 29, 32, 30, 29, 30, 28, 29, 30, 28, 28, 29, 28, 30, 32, 34, 29, 29, 30, 29, 28, 29, 28, 29, 47, 30, 30, 30, 28, 30, 31, 30, 32, 32, 32, 30, 30, 29, 29, 34, 29, 31, 28, 31, 31, 29, 30, 31, 30, 31, 29, 27, 30, 29, 30, 28, 31, 29, 29, 32, 31, 35, 29, 29, 29, 33, 39, 30, 29, 30, 31, 28, 28, 29, 28, 31, 28, 30, 27, 29, 30, 28, 29, 28, 29, 40, 28, 33, 28, 31, 28, 29, 30, 31, 29, 32, 28, 29, 31, 30, 30, 31, 29, 29, 28, 28, 30, 28, 28, 29, 36, 31, 63, 27, 28, 30, 32, 32, 36, 28, 34, 29, 29, 28, 30, 28, 30, 29, 29, 28, 29, 28, 28, 31, 28, 29, 32, 29, 29, 29, 31, 31, 28, 31, 28, 29, 28, 29, 30, 30, 33, 29, 30, 29, 28, 29, 29, 30, 28, 29, 29, 51, 31, 34, 28, 28, 35, 29, 31, 28, 31, 28, 28, 30, 29, 29, 29, 28, 30, 34, 29, 31, 29, 29, 31, 38, 28, 29, 31, 30, 31, 28, 28, 33, 29, 29, 29, 29, 30, 30, 31, 28, 30, 29, 28, 29, 28, 27, 30, 35, 28, 28, 28, 30, 30, 31, 29, 29, 41, 28, 28, 30, 29, 29, 30, 32, 31, 29, 28, 28, 32, 28, 29, 30, 29, 28, 28, 31, 28, 31, 29, 29, 28, 30, 29, 31, 29, 31, 31, 28, 28, 28, 31, 29, 29, 30, 31, 29, 31, 29, 28, 29, 29, 28, 29, 31, 28, 31, 31, 29, 31, 28, 28, 28, 31, 29, 28, 28, 28, 27, 30, 29, 29, 28, 39, 28, 29, 42, 30, 29, 28, 29, 29, 30, 28, 28, 28, 29, 32, 28, 28, 30, 30, 28, 35, 28, 35, 29, 29, 29, 29, 28, 29, 29, 30, 31, 29, 28, 28, 29, 30, 28, 29, 30, 28, 28, 29, 33, 28, 28, 33, 32, 28, 28, 30, 28, 28, 30, 31, 28, 28, 31, 31, 29, 29, 29, 29, 29, 29, 29, 29, 28, 29, 33, 27, 28, 30, 28, 31, 30, 29, 29, 30, 29, 27, 29, 30, 30, 28, 28, 29, 28, 30, 28, 33, 27, 28, 42, 28, 27, 35, 30, 31, 29, 30, 32, 28, 31, 29, 28, 30, 28, 28, 30, 30, 30, 30, 28, 31, 29, 28, 29, 30, 30, 30, 28, 31, 29, 29, 29, 29, 29, 28, 30, 28, 28, 29, 28, 36, 31, 28, 28, 29, 30, 28, 28, 28, 29, 29, 33, 30, 30, 31, 30, 29, 30, 40, 30, 28, 32, 29, 28, 29, 29, 29, 29, 30, 28, 31, 28, 28, 29, 28, 31, 29, 28, 28, 29, 28, 29, 28, 31, 28, 29, 28, 29, 31, 28, 31, 30, 29, 29, 29, 28, 30, 28, 30, 29, 30, 30, 29, 28, 47, 29, 29, 29, 28, 29, 28, 29, 32, 30, 29, 30, 35, 29, 29, 30, 29, 29, 29, 32, 28, 42079, 30, 31, 28, 36, 30, 29, 32, 28, 29, 34, 29, 29, 30, 30, 29, 29, 30, 31, 28, 31, 28, 27, 29, 29, 28, 30, 28, 28, 29, 29, 30, 29, 30, 32, 31, 27, 28, 28, 28, 30, 29, 30, 29, 28, 31, 30, 28, 30, 29, 30, 28, 29, 28, 29, 30, 31, 29, 30, 28, 28, 30, 28, 29, 29, 28, 29, 29, 28, 31, 29, 28, 30, 28, 34, 28, 30, 30, 28, 30, 30, 28, 28, 28, 28, 29, 30, 29, 28, 28, 29, 29, 29, 29, 28, 28, 27, 29, 29, 31, 29, 30, 28, 28, 32, 28, 29, 29, 29, 36, 29, 28, 31, 29, 29, 30, 30, 31, 28, 29, 29, 28, 30, 29, 31, 29, 28, 29, 37, 29, 30, 29, 28, 31, 28, 30, 28, 29, 30, 28, 29, 29, 30, 28, 28, 28, 29, 29, 31, 28, 30, 30, 31, 28, 29, 28, 29, 28, 29, 30]\n"
+ ]
+ }
+ ],
+ "source": [
+ "age_list = []\n",
+ "\n",
+ "for row in cs220_data:\n",
+ " age = row[cs220_header.index(\"Age\")]\n",
+ " \n",
+ " if age == '':\n",
+ " continue\n",
+ " \n",
+ " age_list.append(int(age) + 10)\n",
+ " \n",
+ "print(age_list)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8e18663d",
+ "metadata": {},
+ "source": [
+ "### cell function\n",
+ "\n",
+ "- It would be very helpful to define a cell function, which can handle missing data and type conversions"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "bba90038",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def cell(row_idx, col_name):\n",
+ " \"\"\"\n",
+ " Returns the data value (cell) corresponding to the row index and \n",
+ " the column name of a CSV file.\n",
+ " \"\"\"\n",
+ " # TODO: get the index of col_name\n",
+ " col_index = cs220_header.index(col_name)\n",
+ "# print(\"col index is\", col_index)\n",
+ " \n",
+ " # TODO: get the value of cs220_data at the specified cell\n",
+ " data_value = cs220_data[row_idx][col_index]\n",
+ "# print(\"data_value is\", data_value)\n",
+ " \n",
+ " # TODO: handle missing values, by returning None\n",
+ " if data_value == '':\n",
+ " return None\n",
+ " \n",
+ " # TODO: handle type conversions\n",
+ " if col_name in ['Age', 'Zip Code']:\n",
+ " data_value = int(data_value)\n",
+ " \n",
+ " if col_name in ['Latitude', 'Longitude']:\n",
+ " data_value = float(data_value)\n",
+ " \n",
+ " return data_value"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "f2edab5c",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "22\n",
+ "43.073051\n",
+ "None\n",
+ "53706\n",
+ "LEC004\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(cell(0, \"Age\"))\n",
+ "print(cell(4, \"Latitude\"))\n",
+ "print(cell(1, \"Age\"))\n",
+ "print(cell(3, \"Zip Code\"))\n",
+ "print(cell(2, \"Lecture\"))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b7c8e726",
+ "metadata": {},
+ "source": [
+ "### Find average age per lecture."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "f0a05e42",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "LEC001 average student age: 20.05\n",
+ "LEC002 average student age: 255.92\n",
+ "LEC003 average student age: 19.14\n",
+ "LEC004 average student age: 19.99\n"
+ ]
+ }
+ ],
+ "source": [
+ "# TODO: initialize 4 lists for the 4 lectures\n",
+ "lec1_ages = []\n",
+ "lec2_ages = []\n",
+ "lec3_ages = []\n",
+ "lec4_ages = []\n",
+ "\n",
+ "# Iterate over the data and populate the lists\n",
+ "for row_idx in range(len(cs220_data)):\n",
+ " age = cell(row_idx, \"Age\")\n",
+ " if age == None:\n",
+ " continue\n",
+ " lecture = cell(row_idx, \"Lecture\")\n",
+ " if lecture == \"LEC001\":\n",
+ " lec1_ages.append(age)\n",
+ " elif lecture == \"LEC002\":\n",
+ " lec2_ages.append(age)\n",
+ " elif lecture == \"LEC003\":\n",
+ " lec3_ages.append(age)\n",
+ " elif lecture == \"LEC004\":\n",
+ " lec4_ages.append(age)\n",
+ " \n",
+ "# TODO: compute average age of each lecture\n",
+ "print(\"LEC001 average student age:\", round(sum(lec1_ages) / len(lec1_ages), 2))\n",
+ "print(\"LEC002 average student age:\", round(sum(lec2_ages) / len(lec2_ages), 2))\n",
+ "print(\"LEC003 average student age:\", round(sum(lec3_ages) / len(lec3_ages), 2))\n",
+ "print(\"LEC004 average student age:\", round(sum(lec4_ages) / len(lec4_ages), 2))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "64fd0945",
+ "metadata": {},
+ "source": [
+ "### Find all unique zip codes."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "c28e77ce",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# TODO: initialize list of keep track of zip codes\n",
+ "zip_codes = []\n",
+ "\n",
+ "for row_idx in range(len(cs220_data)):\n",
+ " zip_code = cell(row_idx, \"Zip Code\")\n",
+ " \n",
+ " if zip_code != None:\n",
+ " zip_codes.append(zip_code)\n",
+ " \n",
+ "zip_codes # How do we get the unique values?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "31a381fe",
+ "metadata": {},
+ "source": [
+ "## Self-practice"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8ac26620",
+ "metadata": {},
+ "source": [
+ "### How many students are both a procrastinator and a pet owner?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "172141ea",
+ "metadata": {},
+ "source": [
+ "### What percentage of 18-year-olds have their major declared as \"Other\"?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d9a7a2b1",
+ "metadata": {},
+ "source": [
+ "### How old is the oldest basil/spinach-loving Business major?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5fcc04f2",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "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": "3.10.6"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}