fix filter

components/query.py

@@ -118,7 +118,7 @@ def get_sample_data(df, pred_taxon, rank):
         return None, np.nan, "", False
 
     # First, try to find entries with empty lower ranks
-    exact_df = df.copy()
+    exact_df = df
     for lower_rank in RANKS[rank + 1:]:
         exact_df = exact_df.filter((pl.col(lower_rank).is_null()) | (pl.col(lower_rank) == ""))