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src/mp/mp_draw_constant.py

@@ -16,7 +16,7 @@ df["outcomeRound"] = df["outcomeRound"].astype(float)
 df["predictionRound"] = df.get("predictionRound", 0).fillna(0).astype(float)
 
 # Filter opponent strategies
-opponent_strategies = ["always_head", "always_tail"]
+opponent_strategies = ["H-T", "T-H"] #"always_head", "always_tail"]
 df_filtered = df[df["opponentStrategy"].isin(opponent_strategies)].copy()
 
 # Plot settings
@@ -69,7 +69,7 @@ def plot_metric(metric: str, ylabel: str, title: str, filename: str, ylim: tuple
 plot_metric(
     metric="outcomeRound",
     ylabel="Average Points Earned",
-    title="MP: Average Points Earned per Round against Constant Behaviour (95% CI)",
+    title="MP: Average Points Earned per Round against Alternate Behaviour (95% CI)",
     filename="mp_payoff.svg",
     ylim=(-1, 1)
 )
@@ -78,7 +78,7 @@ plot_metric(
 plot_metric(
     metric="predictionRound",
     ylabel="Prediction Accuracy",
-    title="MP: Prediction Accuracy per Round against Constant Behaviour (95% CI)",
+    title="MP: Prediction Accuracy per Round against Alternate Behaviour (95% CI)",
     filename="mp_prediction.svg",
     ylim=(0, 1.05)
 )