Co-occurrence of Anime Genres with Chord Diagrams

import numpy as np                   # for multi-dimensional containers 
import pandas as pd                  # for DataFrames
import itertools
from ast import literal_eval
from chord import Chord

data_url = 'https://datacrayon.com/datasets/anime_list.csv'
data = pd.read_csv(data_url)
data.head()

data.shape

def get_list(x):
    if isinstance(x, int):
        return []
    if isinstance(x,str):
        result = [s.strip() for s in x.split(',')]
        return sorted(result)

    return []

genres = data['genre'].apply(get_list)
pd.DataFrame(genres)

genres = genres[genres.str.len() > 1]
pd.DataFrame(genres)

genres = [list(itertools.combinations(i,2)) for i in genres]
pd.DataFrame(genres)

genres = list(itertools.chain.from_iterable((i, i[::-1]) for c_ in genres for i in c_))
pd.DataFrame(genres)

matrix = pd.pivot_table(
    pd.DataFrame(genres), index=0, columns=1, aggfunc="size", fill_value=0
).values.tolist()

pd.DataFrame(matrix)

names = np.unique(genres).tolist()
pd.DataFrame(names)

matrix = pd.DataFrame(matrix)
names = pd.DataFrame(names)

discarded_categories = ["Hentai", "Yaoi", "Yuri", "Ecchi",
                        "Shounen Ai", "Shoujo Ai"]

discard_mask = names.isin(discarded_categories).values
discard_indices = names[discard_mask].index

for drop_idx in discard_indices:
    matrix = matrix.drop(drop_idx, axis=1)
    matrix = matrix.drop(drop_idx, axis=0)
    names = names.drop(drop_idx, axis=0)   

colors = ["#660000", "#734139", "#e59173", "#ff4400", "#332b26", "#593000",
          "#998773", "#d97400", "#8c5e00", "#f2ca79", "#ffcc00", "#59562d",
          "#736b00", "#c2cc33", "#245900", "#8cff40", "#269926", "#ace6ac",
          "#40ffa6", "#336655", "#008c5e", "#39e6da", "#ace6e2", "#566d73",
          "#39c3e6", "#1d5673", "#3d9df2", "#163159", "#acc3e6", "#000f73",
          "#565a73", "#000033", "#8273e6", "#6d00cc", "#633366", "#e2ace6",
          "#f23de6", "#cc0088", "#590024", "#cc0036", "#f27999", "#e6acb4"];

Chord(
    matrix.values.tolist(),
    names.values.tolist(),
    padding=0.03,
    colors=colors,
    credit=True,
    noun = "Anime",
    font_size_large = "16px"
).show()