Python_Advanced_Project.py

import csv
import matplotlib.pyplot as plt

def generate_population_dictionary(filename):
  """Generates a dictionary with continents as keys and their respective populations and years as values.
  {
    "Africa": {
      "population": [1.2, 1.5, 1.8],
      "years": [2000, 2005, 2010]
    },
    "Asia": {
      "population": [3.0, 3.5, 4.0],
      "years": [2000, 2005, 2010]
    }
  }
  """
  population_per_continent = {}

  with open(filename, 'r') as csvfile:
        reader = csv.DictReader(csvfile)
        for line in reader:
            continent = line['continent']
            year = line['year']
            population = int(line['population'])
            
            if continent not in population_per_continent:
                population_per_continent[continent] = {'population':[], 'years': []}
            
            population_per_continent[continent]['population'].append(population)
            population_per_continent[continent]['years'].append(year)
    
  return population_per_continent

def generate_plot_from_dictionary(population_dictionary):
    """Generates a plot from the population dictionary for each continent."""
    for continent in population_dictionary:
        years = population_dictionary[continent]['years']
        populations = population_dictionary[continent]['population']

        plt.plot(years, populations, label=continent, marker='o', alpha=0.7)
    plt.title(' Internet Population Growth by Continent')
    plt.xlabel('Year')
    plt.ylabel('Internet Users (in billions)')
    plt.grid(True)
    plt.legend()
    plt.tight_layout()
    plt.show()

filename = 'data.csv'

"""Generates a population dictionary and a plot to display the internet population growth by continent."""
population_per_continent = generate_population_dictionary(filename)
generate_plot_from_dictionary(population_per_continent)