atp_winners_rankings.py

# List of Grand Slams 
tourneys = ['Australian Open','Roland Garros','Wimbledon','US Open']

# Create dataframe with data of finals where winner_rank values are not null
tennis_df_1 = tennis_df[~np.isnan(tennis_df['winner_rank']) & (tennis_df['round']=='F')].copy()
plt.figure(figsize=(20,4))

# Create one plot for each Grand Slam
for i in range(1,5):
    plt.subplot(1,4,i)
    plt.title(tourneys[i-1])
    plt.scatter(tennis_df_1[tennis_df_1['tourney_name']==tourneys[i-1]]['tourney_year'],tennis_df_1[tennis_df_1['tourney_name']==tourneys[i-1]]['winner_rank'], s=tennis_df_1['loser_rank'])
    plt.gca().invert_yaxis()
    plt.ylim(50,-5)
    plt.xlabel('Year')
    plt.ylabel('Winner Ranking')