1.2.0: Refined all 6D calcs and UI/UX Experiences.

scripts/check_l3_variance.py

@@ -0,0 +1,55 @@
+import sqlite3
+import pandas as pd
+import numpy as np
+import os
+
+# Config to match your project structure
+class Config:
+    DB_L3_PATH = r'd:\Documents\trae_projects\yrtv\database\L3\L3_Features.sqlite'
+
+def check_variance():
+    db_path = Config.DB_L3_PATH
+    if not os.path.exists(db_path):
+        print(f"L3 DB not found at {db_path}")
+        return
+
+    conn = sqlite3.connect(db_path)
+    try:
+        # Read all features
+        df = pd.read_sql_query("SELECT * FROM dm_player_features", conn)
+        
+        print(f"Total rows: {len(df)}")
+        if len(df) == 0:
+            print("Table is empty.")
+            return
+
+        numeric_cols = df.select_dtypes(include=['number']).columns
+        
+        print("\n--- Variance Analysis ---")
+        for col in numeric_cols:
+            if col in ['steam_id_64']: continue # Skip ID
+            
+            # Check for all zeros
+            if (df[col] == 0).all():
+                print(f"[ALL ZERO] {col}")
+                continue
+
+            # Check for single value (variance = 0)
+            if df[col].nunique() <= 1:
+                val = df[col].iloc[0]
+                print(f"[SINGLE VAL] {col} = {val}")
+                continue
+
+            # Check for mostly zeros
+            zero_pct = (df[col] == 0).mean()
+            if zero_pct > 0.9:
+                print(f"[MOSTLY ZERO] {col} ({zero_pct:.1%} zeros)")
+                
+            # Basic stats for valid ones
+            # print(f"{col}: min={df[col].min():.2f}, max={df[col].max():.2f}, mean={df[col].mean():.2f}")
+
+    finally:
+        conn.close()
+
+if __name__ == "__main__":
+    check_variance()