"""
Felix Muzny
DS 2000
Lecture 15
November 1, 2024

Stater code
Reading in files as dictionaries
Lists of dictionaries
"""

import csv
import matplotlib.pyplot as plt

FILENAME = "ds2000_staff.csv"
AGE_COL = "age"
NUM_BINS = 10

def read_file_dict(filename):
    """
    Reads the file in as a single dictionary, ignoring the first (header) row

    :param filename: string location of the file
    :return: dictionary mapping strings to ints
    """
    data = {}
    with open(filename, "r") as file:
        # ignore the headers
        headers = file.readline()
        # read the rest of the lines
        # for line in file:

        # OUR CODE HERE


    return data

# partially provided
def read_file_as_list_of_dicts(filename):
    """
    Reads the given file as a list of dictionaries, using
    the first row of headers as key names
    :param filename: string location of file
    :return: list of dicts mapping strings to strings
    """
    data = []
    with open(filename, "r") as file:
        reader = csv.DictReader(file)

        # OUR CODE HERE

    # return the data!
    return data

def make_age_hist(data, age_col, bins):
    """
    Make a histogram of the ages in the data
    :param data: list of dictionaries
    :param age_col: string name of column key associated with ages data
    :param bins: int number of bins for the histogram
    :return: none
    """
    # get the ages as integers
    # this is like accessing the ages column from the file
    print("we'll implement this!")

def main():
    print("Lecture 15 - reading files into dicts")

    # read the file into a dictionary
    data = read_file_dict(FILENAME)
    print(data)


main()