Pokémon-statistieken

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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

In dit venster kan je Python-code uitvoeren zonder iets te moeten installeren. De code die je hier schrijft wordt niet automatisch ingediend in Dodona.

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