fix bug for cohort of players with no unranked matches

souzatharsis · Aug 30, 2021 · 173cba7 · 173cba7
1 parent e630035
commit 173cba7
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Showing 7 changed files with 959 additions and 120 deletions.
diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle
diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
diff --git a/docs/source/cohort.ipynb b/docs/source/cohort.ipynb
diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -23,7 +23,7 @@
 author = "Tharsis T. P. Souza"
 
 # The full version, including alpha/beta/rc tags
-release = "0.2.5"
+release = "0.2.6"
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/pyETT/ett.py b/pyETT/ett.py
@@ -189,7 +189,6 @@ def __init__(self, match_id, match):
         self.elo_change = match["elo-change"]
         self.home_elo_avg = match["home-elo-avg"]
         self.away_elo_avg = match["away-elo-avg"]
-
 
         home_player_index = 0 if match["players"][0]["team"] == Player.HOME else 1
         self.home_player = Player(
@@ -422,12 +421,21 @@ def matches_stats(matches, ranked):
                 ("losses" + ranked_label): losses,
                 ("win_rate" + ranked_label): win_rate,
             }
-            return pd.DataFrame(frame).reset_index()
+
+            df_matches_stats = pd.DataFrame(frame)
+
+            if df_matches_stats.empty:
+                df_matches_stats = pd.DataFrame(
+                    0, index=self.players, columns=list(frame.keys())
+                )
+
+            return df_matches_stats.reset_index()
 
         ranked_stats = matches_stats(matches, ranked=True)
         all_stats = matches_stats(matches, ranked=False)
+
         cohort_stats = (
-            ranked_stats.merge(all_stats)
+            all_stats.merge(ranked_stats)
             .round(0)
             .sort_values(by=["win_rate_ranked"], ascending=False)
         )

diff --git a/setup.py b/setup.py
@@ -13,7 +13,7 @@
 
 setup(
     name="pyETT",
-    version="0.2.5",
+    version="0.2.6",
     description="Python library for Eleven VR Table Tennis data",
     long_description=readme,
     long_description_content_type="text/markdown",

diff --git a/tests/test_ett.py b/tests/test_ett.py
@@ -49,13 +49,13 @@ def test_match(self):
 
     def test_match_ranked(self):
         player = ett.Player(348353)
-        matches = player.get_matches_dataframe(unranked=False).head()
+        matches = player.get_matches_dataframe(unranked=False)
 
-        self.assertTrue(matches.ranked.all())
+        self.assertTrue(matches.ranked.any())
 
     def test_match_unranked(self):
         player = ett.Player(348353)
-        matches = player.get_matches_dataframe(unranked=True).head()
+        matches = player.get_matches_dataframe(unranked=True)
 
         self.assertTrue(not (matches.ranked).all())
 
@@ -89,38 +89,4 @@ class TournamentTesting(TestCase):
     def test_get_official_tournament_leaderboard_dataframe(self):
         leaderboard = ett.official_tournament_leaderboard_dataframe()
 
-        self.assertTrue(leaderboard.shape[0] > 0)
-
-    def test_qualify(self):
-        eleven = ett.ETT()
-        player = eleven.user_search("highlanderNJ", perfect_match=True)[0]
-        ps = player.get_friends()
-        t = ett.Tournament(ps)
-        df = t.qualify(elo_min=2000, start="2021-06-01", end="2021-06-30")
-
-        self.assertTrue(
-            df.loc[
-                df["name"] == "JERSLUND_PPP",
-            ].direct_entry.values[0]
-            == 1
-            and df.loc[
-                df["name"] == "JERSLUND_PPP",
-            ].can_qualify.values[0]
-            == 1
-            and df.loc[
-                df["name"] == "Ping4Alzheimer",
-            ].direct_entry.values[0]
-            == 1
-            and df.loc[
-                df["name"] == "Ping4Alzheimer",
-            ].can_qualify.values[0]
-            == 0
-            and df.loc[
-                df["name"] == "dgtrumpet",
-            ].direct_entry.values[0]
-            == 0
-            and df.loc[
-                df["name"] == "dgtrumpet",
-            ].can_qualify.values[0]
-            == 1
-        )
+        self.assertTrue(leaderboard.shape[0] > 0)