Enhance summary output in extract_sequence_lengths script to include min, max, and percentile values for better data insights

extract_sequence_lengths.py

@@ -63,10 +63,14 @@ def main() -> None:
 
     arr = np.asarray(lengths, dtype=np.int64)
     print(f"Wrote: {out_csv}")
-    print(
-        "Summary: "
-        f"n={arr.size}, min={arr.min()}, p50={int(np.median(arr))}, mean={arr.mean():.2f}, max={arr.max()}"
-    )
+
+    percentiles = [5, 10, 25, 50, 75, 90, 95, 99]
+    pct_values = np.percentile(arr, percentiles)
+    print("Summary:")
+    print(f"  n={arr.size}")
+    print(f"  min={arr.min()}  max={arr.max()}  mean={arr.mean():.2f}")
+    for p, v in zip(percentiles, pct_values):
+        print(f"  p{p:02d}={int(v)}")
 
     # Plot histogram
     plt.figure(figsize=(8, 5))