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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Warmup 1: Take a look at some list methods\n",
+ "\n",
+ "List methods [here](https://www.w3schools.com/python/python_ref_list.asp)..."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "dairy = [\"milk\", \"ice cream\", \"cheese\", \"yogurt\", \"butter\"]\n",
+ "\n",
+ "# use the .index() method to get the index of \"ice cream\"\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Warmup 2: Because a list is a sequence, we can use the `in` operator"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "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",
+ "metadata": {},
+ "source": [
+ "# CS220: Lecture 15\n",
+ "\n",
+ "\n",
+ "## Learning Objectives\n",
+ "After this lecture you will be able to...\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": "markdown",
+ "metadata": {},
+ "source": [
+ "## Reading a CSV"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 1: Store the contents of the CSV file into Python lists"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# adapted from https://automatetheboringstuff.com/chapter14/\n",
+ "import csv\n",
+ "\n",
+ "def process_csv(filename):\n",
+ " # open the file, its a text file utf-8\n",
+ " example_file = open(filename, encoding=\"utf-8\")\n",
+ " \n",
+ " # prepare it for reading as a CSV object\n",
+ " example_reader = csv.reader(example_file)\n",
+ " \n",
+ " # use the built-in list function to convert this into a list of lists\n",
+ " example_data = list(example_reader)\n",
+ " \n",
+ " # close the file to tidy up our workspace\n",
+ " example_file.close()\n",
+ " \n",
+ " # return the list of lists\n",
+ " return example_data"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Call the `process_csv` function and store the list of lists in `cs220_csv`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cs220_csv = process_csv('cs220_survey_data.csv')\n",
+ "cs220_csv"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Store the header row into `cs220_header`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cs220_header = cs220_csv[0]\n",
+ "cs220_header"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Store all of the data rows into `cs220_data`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cs220_data = cs220_csv[1:]\n",
+ "cs220_data"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 2: CSVs as a List of Lists"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out the lecture number of the 4th student by hardcoding its row and column"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cs220_data[...][...] # [row][col]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out the sleeping habit for the 2nd student by hardcoding its row and column"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cs220_data[...][...] "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out how many students completed the survey"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "len(...)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out every student's sleep habits and major"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for i in range(len(cs220_data)):\n",
+ " current_sleep_habit = ...\n",
+ " current_major = ...\n",
+ " print(current_sleep_habit + '\\t\\t' + current_major)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out every students' age in 10 years\n",
+ "\n",
+ "Fix the bug in the code below"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for i in range(...):\n",
+ " current_age = cs220_data[i][2]\n",
+ " print(current_age + 10)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## It would be nice to have a helper function!\n",
+ "Let's introduce `cell`"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Remember creating `cs220_header`?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cs220_header"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Get the column index of `\"Pizza topping\"`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cs220_header.index(...)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 3: Create a `cell` function\n",
+ "\n",
+ "We want to invoke something like...\n",
+ "* `cell(24, \"Pet owner\")`\n",
+ "* `cell(63, \"Zip Code\")`"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def cell(row_idx, col_name):\n",
+ " col_idx = ... # get the index of col_name\n",
+ " val = ... # get the value of cs220_data at the specified cell\n",
+ " return val"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out the lecture number of the 4th student using the `cell` function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "cell(..., ...)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out every student's sleep habits and major using the `cell` function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for i in range(len(cs220_data)):\n",
+ " current_sleep_habit = ...\n",
+ " current_major = ...\n",
+ " print(current_sleep_habit + '\\t\\t' + current_major)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out every students' age in 10 years using the `cell` function\n",
+ "\n",
+ "This does not quite work. Fix this code:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for i in range(len(cs220_data)):\n",
+ " current_age = cell(i, \"Age\")\n",
+ " if current_age != None:\n",
+ " print(current_age + 10)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 4: Improve the `cell` function \n",
+ "\n",
+ "Improve the `cell` function so it returns the appropriate type. If there is **nothing** in the cell, return `None`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def cell(row_idx, col_name):\n",
+ " col_idx = cs220_header.index(col_name)\n",
+ " val = cs220_data[row_idx][col_idx]\n",
+ " if ...:\n",
+ " return None\n",
+ " elif ...:\n",
+ " return int(val)\n",
+ " else:\n",
+ " return val"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Print out every student's sleep habits and major using the `cell` function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for i in range(len(cs220_data)):\n",
+ " current_age = cell(i, \"Age\")\n",
+ " if current_age != None:\n",
+ " print(current_age + 10)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 5: Get the average age of each lecture"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "students_lec_001 = []\n",
+ "students_lec_002 = []\n",
+ "students_lec_003 = []\n",
+ "students_lec_004 = []\n",
+ "students_lec_005 = []\n",
+ "for i in range(len(cs220_data)):\n",
+ " current_lec = ...\n",
+ " current_age = ...\n",
+ " if ...: # TODO: check for missing data\n",
+ " continue\n",
+ " if current_lec == \"LEC001\":\n",
+ " students_lec_001.append(current_age)\n",
+ " elif current_lec == \"LEC002\":\n",
+ " students_lec_002.append(current_age)\n",
+ " elif current_lec == \"LEC003\":\n",
+ " students_lec_003.append(current_age)\n",
+ " elif current_lec == \"LEC004\":\n",
+ " students_lec_004.append(current_age)\n",
+ " elif current_lec == \"LEC005\":\n",
+ " students_lec_005.append(current_age)\n",
+ " \n",
+ "print(\"Average age for LEC001 is\", round(sum(students_lec_001) / len(students_lec_001), 2))\n",
+ "print(\"Average age for LEC002 is\", round(sum(students_lec_002) / len(students_lec_002), 2))\n",
+ "print(\"Average age for LEC003 is\", round(sum(students_lec_003) / len(students_lec_003), 2))\n",
+ "print(\"Average age for LEC004 is\", round(sum(students_lec_004) / len(students_lec_004), 2))\n",
+ "print(\"Average age for LEC005 is\", round(sum(students_lec_005) / len(students_lec_005), 2))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "#### Bonus challenge: Can you do this with a little less hardcoding?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "lectures_of_ages = [\n",
+ " [],\n",
+ " [],\n",
+ " [],\n",
+ " [],\n",
+ " []\n",
+ "]\n",
+ "for i in range(len(cs220_data)):\n",
+ " current_lec = int(cell(i, \"Lecture\")[-1]) - 1 # Will be a number 0 - 4\n",
+ " current_age = cell(i, \"Age\")\n",
+ " if current_age != None:\n",
+ " lectures_of_ages[current_lec].append(current_age)\n",
+ "\n",
+ "# TODO: Print the average ages"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example 6: What are the unique ages for each lecture?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "for i in range(len(lectures_of_ages)):\n",
+ " ages_of_lecture_i = ...\n",
+ " unique_ages = ...\n",
+ " print(unique_ages)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## You try!"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Complete the challenges below. First try completing the problem directly using the list of lists (e.g. double indexing `[][]`), then try using the `cell` function!"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Exercise 1: Of all runners, how many are procrastinators? "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Exercise 2: What percentage of 18-year-olds have their major declared as \"Other\"?"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Exercise 3: Does the oldest basil/spinach-loving Business major prefer cats, dogs, or neither?"
+ ]
+ }
+ ],
+ "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": "3.11.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}