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December 6, 2022 20:52
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World Cup 22 - Players by month of birth
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import pandas as pd | |
import seaborn as sns | |
import matplotlib.pyplot as plt | |
import numpy as np | |
# Download the file "players_22.csv" from: | |
# https://drive.google.com/file/d/1EiNbO9zsoULzOcISLqGTkuxiSMM_zgVm/view?usp=share_link | |
df = pd.read_csv('players_22.csv', low_memory=False) | |
teams_worldcup = [ | |
'Qatar', 'Brazil', 'Belgium', 'France', 'Argentina', 'England', 'Spain', 'Portugal', | |
'Mexico', 'Netherlands', 'Denmark', 'Germany', 'Uruguay', 'Switzerland', 'United States', 'Croatia', | |
'Senegal', 'Iran', 'Japan', 'Morocco', 'Serbia', 'Poland', 'South Korea', 'Tunisia', | |
'Cameroon', 'Canada', 'Ecuador', 'Saudi Arabia', 'Ghana', 'Wales', 'Costa Rica', 'Australia' | |
] | |
df = df[df['nationality_name'].isin(teams_worldcup)] | |
df = df[['dob', 'short_name', 'age', 'nationality_name', 'overall', 'club_name', 'player_positions',]] | |
df['dob'] = df['dob'].str.split('-', expand=True)[1] | |
df = df[df['dob'].astype(int) < 50] | |
df.dropna(inplace=True) | |
df.sort_values(by=['dob', 'short_name'], ascending=True, inplace=True) | |
print(df) | |
fig, ax = plt.subplots(figsize=(12, 5), tight_layout=True) | |
sns.set_style('darkgrid') | |
sns.histplot(df, x='dob', binwidth=1) | |
plt.show() | |
df.to_csv("out.csv") |
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