Summary

• Game saves unguessed states to a CSV file when player exits
• Exit feature triggered by typing "exit" during gameplay
• Generates states_to_learn.csv containing missed states
• Project can be customized for different educational purposes (countries, plants, animals)

Resources

Notes\ Code

For the last part of our code we want to add an “Exit” for the user to be able to leave the program and be given a csv called states_to_learn that has all the states they did not name.

My Solution

import turtle
import pandas

screen = turtle.Screen()
screen.title("U.S. States Game")
image = "blank_states_img.gif"
screen.addshape(image)
turtle.shape(image)
turtle.setup(width=750, height=520)

data = pandas.read_csv("50_states.csv")
states = data.state.to_list()
correct_states = []

while len(correct_states) < 50:
    answer_state = screen.textinput(title=f"{len(correct_states)}/50 States Correct",
                                    prompt="Please enter a state's name: ").title()
    if answer_state == "Exit":
        set1 = set(states)
        set2 = set(correct_states)
        missed_states = list(set1 - set2)
        print(missed_states)
        table = pandas.DataFrame(missed_states)
        table.to_csv("states_to_learn.csv")
        break
    elif answer_state in states:
        correct_states.append(answer_state)
        t = turtle.Turtle()
        t.hideturtle()
        t.penup()
        state_data= data[data.state == answer_state]
        t.goto(state_data.x.item(), state_data.y.item())
        t.write(answer_state)

Dr. Yu’s Solution:

import turtle
import pandas

screen = turtle.Screen()
screen.title("U.S. States Game")
image = "blank_states_img.gif"
screen.addshape(image)
turtle.shape(image)

data = pandas.read_csv("50_states.csv")
states = data.state.to_list()
correct_states = []

while len(correct_states) < 50:
    answer_state = screen.textinput(title=f"{len(correct_states)}/50 States Correct",
                                    prompt="Please enter a state's name: ").title()
    if answer_state == "Exit":
        missed_states = []
        for state in states:
            if state not in correct_states:
                missed_states.append(state)
        new_data = pandas.DataFrame(missed_states)
        new_data.to_csv("states_to_learn.csv")
        break
    elif answer_state in states:
        correct_states.append(answer_state)
        t = turtle.Turtle()
        t.hideturtle()
        t.penup()
        state_data= data[data.state == answer_state]
        t.goto(state_data.x.item(), state_data.y.item())
        t.write(answer_state)

Really only difference is how we handled getting the missing states. I thought about using a for loop like Dr. Yu did, but at the time of coding, I just felt like using set was easier and quicker. Same result anyway.

blank_states_img.gif

50_states.csv