✨ - New command $osu_acc {username} !

python/osu_api.py

@@ -1,6 +1,6 @@
 from osuapi import OsuApi, ReqConnector
 from private import TOKEN_OSU
-import requests
+import matplotlib.pyplot as plt
 
 api = OsuApi(TOKEN_OSU, connector=ReqConnector())
 
@@ -25,3 +25,30 @@ async def ask_osu_last_game(username):
         lm.diff_approach, lm.diff_drain, lg.score,
         lg.maxcombo, lg.rank, lg.count300, lg.count100,
         lg.count50, lg.countmiss, lg.countkatu, lg.countgeki]
+
+
+async def ask_osu_acc(username):
+    last_game = api.get_user_recent(username)
+    if not last_game:
+        return 0
+
+    lst = []
+    for game in last_game:
+        total = game.count300 + game.count100 + game.count50 + game.countmiss
+        lst.append((float("%.2f" %(((game.count300 * 300) + (game.count100 * 100) + (game.count50 * 50)) / (total * 300) * 100))))
+
+    nb_games = len(lst)+1
+    min_games = int(min(lst))
+
+    plt.figure(figsize=(9, 5))
+    plt.plot(list(range(1, nb_games)), lst)
+    plt.scatter(list(range(1, nb_games)), lst, color='red')
+    plt.axis([1, nb_games-1, min_games, 100])
+    plt.title('Accuracy of ' + username + ' on his last ' + str(nb_games-1) + ' games.')
+    plt.xticks(range(1, nb_games))
+    plt.yticks(range(min_games, 100, 5))
+    plt.grid(linewidth=0.5)
+    plt.ylabel('Accuracy (%)')
+    plt.xlabel('Games (from recent to oldest)')
+    plt.savefig('acc.jpeg')
+    return 1