Update src/streamlit_app.py

src/streamlit_app.py

@@ -173,7 +173,7 @@ if analysis_mode == "Overview":
                 .sort_index(key=lambda s: s.map(lambda x: int(x) if str(x).isdigit() else x))
             )
 
-            fig1, ax1 = plt.subplots(figsize=(8, 4))
+            fig1, ax1 = plt.subplots(figsize=(8, 5))
             ax1.plot(season_counts.index.astype(str), season_counts.values,
                      marker='o', color='#1f77b4', linewidth=2)
             ax1.set_xlabel("Season", fontsize=11)
@@ -200,7 +200,7 @@ if analysis_mode == "Overview":
             colors = plt.cm.viridis_r(
                 [i / max(len(team_runs) - 1, 1) for i in range(len(team_runs))]
             )
-            ax2.barh(team_runs.index[::-1], team_runs.values[::-1], color=colors[::-1])
+            ax2.barh(team_runs.index[::-1], team_runs.values[::-1], color=colors[::1])
             ax2.set_xlabel("Total Runs", fontsize=11)
             ax2.set_ylabel("Team", fontsize=11)
             ax2.xaxis.set_major_formatter(
@@ -219,7 +219,7 @@ if analysis_mode == "Overview":
 
     fig3, ax3 = plt.subplots(figsize=(12, 4))
     run_counts = df_filtered['runs_total'].value_counts().sort_index()
-    ax3.bar(run_counts.index.astype(str), run_counts.values, color='orange', alpha=0.8)
+    ax3.bar(run_counts.index.astype(str), run_counts.values, color='pink', alpha=0.8)
     ax3.set_xlabel("Runs per Ball", fontsize=11)
     ax3.set_ylabel("Frequency", fontsize=11)
     ax3.grid(axis='y', alpha=0.3)