Created
October 17, 2018 17:57
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# 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') |
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