# File: weatherPlotter.py
#
# Plots minimum and maximum weather data.
# Assumes CSV input has the following columns:
# - NAME (e.g., "MINNEAPOLIS ST. PAUL INTERNATIONAL AIRPORT")
# - DATE (e.g., "1/19/2023")
# - PRCP (e.g., "0.16) <- string representing a float
# - SNOW (e.g., "3.5") <- string representing a float
# - TMAX (e.g., "32") <- string representing an int
# - TMIN (e.g., "27") <- string representing an int
#
# Author: TODO
#
# Collaboration statement: TODO
#
# Inputs: CSV file

import matplotlib.pyplot as plt

def parseData(filename):
    """
    Opens the CSV file with name filename for reading, and reads in the data.

    filename: string
    returns: five lists:
      - one of dates (strings)
      - one of precipitation (floats)
      - one of snow (floats)
      - one of minimum temps (ints)
      - one of maximum temps (ints)
    """
    dates = []
    precip = []
    snow = []
    minTemps = []
    maxTemps = []

    # TODO: Part 0
    # copy your A4 parseData code here

    return dates, precip, snow, minTemps, maxTemps

def plotTempData(minTemps, maxTemps):
    """
    Plots both the minimum and maximum temperature for each day
    in the same plot.
    """
    # TODO: Part 1
    pass # replace with your code

def main():
    # Parse the temperature data into lists of dates, precipitation,
    # snow, lows, and highs
    filename = "weatherData.csv"
    dates, precip, snow, mins, maxes = parseData(filename)

    # Plot the low/high temperatures on the same axes
    plotTempData(mins, maxes)

    # TODO: Part 2
    pass # replace with a call to another plotting function

if __name__ == "__main__":
    main()