sportowe_wizualizacja/BDOviz.ipynb

A Viz Showing The Ballon d'Or votings by players and the vote count recieved by each player for the respective position

import json
from pandas.io.json import json_normalize
import numpy as np
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.patches import Arc, Rectangle, ConnectionPatch
from matplotlib.offsetbox import  OffsetImage
#import squarify
from functools import reduce
import os

df = pd.read_csv('Balon d\'Or 2019 Stats - Sheet1.csv')
df = df.dropna()

df.head()

	Country	1	2	3	4	5
1	Albania	Ronaldo	Van Dijk	Messi	Alisson	Salah
2	Algeria	Mane	Messi	Mahrez	Van Dijk	Aguero
4	Andorra	Messi	Salah	Mbappe	De Jong	Ronaldo
5	Angola	Van Dijk	Ronaldo	Messi	Salah	Mane
6	Argentina	Messi	Ronaldo	Aguero	Van Dijk	Benzema

df.rename(columns ={'1':'FirstChoice','2':'SecondChoice','3':'ThirdChoice','4':'FourthChoice','5':'FifthChoice'}, inplace = True)

df.FirstChoice.unique()

array(['Ronaldo', 'Mane ', 'Messi ', 'Van Dijk ', 'Ronaldo ', 'Van Dijk',
       'Salah ', 'Mane', 'Messi', 'Alisson ', 'Lewandowski ', 'Mbappe ',
       'Alexander-Arnold '], dtype=object)

df['FirstChoice'] = df.FirstChoice.str.strip()
df['SecondChoice'] = df.SecondChoice.str.strip()
df['ThirdChoice'] = df.ThirdChoice.str.strip()
df['FourthChoice'] = df.FourthChoice.str.strip()
df['FifthChoice'] = df.FifthChoice.str.strip()

df.head()

	Country	FirstChoice	SecondChoice	ThirdChoice	FourthChoice	FifthChoice
1	Albania	Ronaldo	Van Dijk	Messi	Alisson	Salah
2	Algeria	Mane	Messi	Mahrez	Van Dijk	Aguero
4	Andorra	Messi	Salah	Mbappe	De Jong	Ronaldo
5	Angola	Van Dijk	Ronaldo	Messi	Salah	Mane
6	Argentina	Messi	Ronaldo	Aguero	Van Dijk	Benzema

unique_player = set()
unique_player.update(df.FirstChoice.unique())
unique_player.update(df.SecondChoice.unique())
unique_player.update(df.ThirdChoice.unique())
unique_player.update(df.FourthChoice.unique())
unique_player.update(df.FifthChoice.unique())

df_agg = pd.DataFrame(list(unique_player),columns=['Players'])#

df_agg['First'] = ''
df_agg['Second'] = ''
df_agg['Third'] = ''
df_agg['Fourth'] = ''
df_agg['Fifth'] = ''

for i in unique_player:
    df_agg['First'][df_agg.Players == i] = df[df.FirstChoice == i].count()[0]
    df_agg['Second'][df_agg.Players == i] = df[df.SecondChoice == i].count()[0]
    df_agg['Third'][df_agg.Players == i] = df[df.ThirdChoice == i].count()[0]
    df_agg['Fourth'][df_agg.Players == i] = df[df.FourthChoice == i].count()[0]
    df_agg['Fifth'][df_agg.Players == i] = df[df.FifthChoice == i].count()[0]

df_agg.head()

	Players	First	Second	Third	Fourth	Fifth
0	Tadic	0	0	0	2	1
1	Sterling	0	0	2	7	10
2	Griezmann	0	0	1	2	2
3	Mbappe	2	4	6	13	16
4	Koulibaly	0	0	0	1	0

plot = df_agg.melt('Players',var_name='for hue', value_name='value')

plot.head()

	Players	for hue	value
0	Tadic	First	0
1	Sterling	First	0
2	Griezmann	First	0
3	Mbappe	First	2
4	Koulibaly	First	0

import seaborn as sns
import matplotlib.pyplot as plt
bg = "#181818"
a4_dims = (40 ,20)
fig, ax = plt.subplots(figsize=a4_dims)
sns.set(rc={ 'grid.color': '#5c5b5b','grid.linestyle': ' ','axes.edgecolor': '#000000','axes.facecolor':bg, 'figure.facecolor':bg,'ytick.color':'white','xtick.color':'white' ,'axes.labelcolor': 'white','text.color': 'white'})
plt.xticks(rotation=90)
sns.set(font_scale = 5)
ax = sns.barplot(x="Players", y="value", hue="for hue", data=plot)
plt.legend(scatterpoints=1,
           bbox_to_anchor=(1, 0.7), loc=2, borderaxespad=1.,
           ncol=1,
           fontsize=29)
plt.xlabel('Players', fontsize=16)
#plt.ylabel('Vote Count', fontsize=16)

Text(0.5, 0, 'Players')