League of Legends - Class Combinations

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

data_url = 'https://shahinrostami.com/datasets/lol/champion.json'
data = pd.read_json(data_url)
data.head()

data = pd.DataFrame(data.data.tolist()).set_index(data.index)

data

pd.DataFrame(data.columns.values.tolist())

types = [item for sublist in data.tags.tolist() for item in sublist]
names = np.unique(types).tolist()
pd.DataFrame(names)

matrix = pd.DataFrame(0, index=names, columns=names)
matrix

len(data.tags[0])

for x in data.tags:
    if(len(x) == 2):
        matrix.at[x[0], x[1]] += 1
        matrix.at[x[1], x[0]] += 1
    if(len(x) == 1):
        matrix.at[x[0], x[0]] += 1

matrix = matrix.values.tolist()

pd.DataFrame(matrix)

colors = ["#ffbe0b","#fb5607","#ff006e","#8338ec","#3a86ff","#80FF72"]

Chord(matrix, names, colors=colors).show()

data['URL'] = ""

for index, row in data.iterrows():
    #url = f"http://127.0.0.1:8000/images/data-is-beautiful/lol/champion/{row.name}.png"
    url = f"https://shahinrostami.com/images/data-is-beautiful/lol/champion/{row.name}.png"
    data.at[index,'URL'] = url

data.URL

data.loc['Akali']

names

data[['tag_1','tag_2']] = pd.DataFrame(data.tags.tolist(), index= data.index)

data

#data.loc[data.tag_2.isna(), 'tag_2'] = data[data.tag_2.isna()].tag_1

details = np.empty((len(names),len(names)),dtype=object)
details_thumbs = np.empty((len(names),len(names)),dtype=object)

data[(data['tag_1'] == "Assassin") & (data["tag_2"].isnull())]

for count_x, item_x in enumerate(names):
    for count_y, item_y in enumerate(names):
        if(item_y == item_x):
            details_urls = data[
                (data['tag_1'] == item_x) & (data["tag_2"].isnull())]['URL'].to_list()

            details_names = data[
                (data['tag_1'] == item_x) & (data["tag_2"].isnull())]['name'].to_list()
        else:
            details_urls = data[
                (data['tag_1'].isin([item_x, item_y])) &
                (data['tag_2'].isin([item_y, item_x]))]['URL'].to_list()

            details_names = data[
                (data['tag_1'].isin([item_x, item_y])) &
                (data['tag_2'].isin([item_y, item_x]))]['name'].to_list()
        
        urls_names = np.column_stack((details_urls, details_names))
        if(urls_names.size > 0):
            details[count_x][count_y] = details_names
            details_thumbs[count_x][count_y] = details_urls

        else:
            details[count_x][count_y] = []
            details_thumbs[count_x][count_y] = []

details=pd.DataFrame(details).values.tolist()
details_thumbs=pd.DataFrame(details_thumbs).values.tolist()

pd.DataFrame(details)

Chord(
    matrix,
    names,
    colors=colors,
    details=details,
    details_thumbs=details_thumbs,
    noun="Champions",
    thumbs_width=70,
    thumbs_margin=1,
    popup_width=670,
    thumbs_font_size=10,
    credit=True,
    padding=0.05,
    arc_numbers=True,
    verb="appear together in"
).show()