Pokémon stats

import pandas as pd
import matplotlib.pyplot as plt


def load_pokemon(filename):
    raise NotImplementedError


def number_of_pokemon(filename):
    raise NotImplementedError


def all_types(filename):
    raise NotImplementedError


def strongest_pokemon(filename):
    raise NotImplementedError


def strongest_per_type(filename):
    raise NotImplementedError


def plot_top_pokemon(filename, n):
    raise NotImplementedError


if __name__ == "sandbox":
    print("Number of Pokémon:", number_of_pokemon('pokemon.csv'))
    print("All types:        ", all_types('pokemon.csv'))
    print("Strongest:        ", strongest_pokemon('pokemon.csv'))
    print("Strongest per type:")
    for type_, name in strongest_per_type('pokemon.csv').items():
        print(f"  {type_:<10s} {name}")

    plot_top_pokemon('pokemon.csv', 5)
    plt.show()

Python sandbox

This window allows you to run Python code without installing a thing. The code you write here is not automatically submitted to Dodona.

Description
Debugger

Test case being debugged