fix doc

Signed-off-by: ConvolutedDog <yangjianchao16@nudt.edu.cn>

Author: ConvolutedDog

nsight/extraction.py

@@ -67,14 +67,14 @@ def explode_dataframe(df: pd.DataFrame) -> pd.DataFrame:
     """
     Explode columns with list/tuple/np.ndarray values into multiple rows.
     Two scenarios:
-        1. No derived metrics (all "Transformed" = False):
-            - All columns maybe contain multiple values (lists/arrays).
-            - Use `explode()` to flatten each list element into separate rows.
-        2. With derived metrics:
-            - Metric columns contain either:
-                a) Single-element lists (from derived metrics) - extract the scalar
-                b) Scalars (from original metrics) - keep as-is
-            - Only flatten single-element lists to scalars, don't create new rows.
+
+    1. No derived metrics (all "Transformed" = False):
+       - All columns maybe contain multiple values (lists/arrays).
+       - Use `explode()` to flatten each list element into separate rows.
+
+    2. With derived metrics:
+       - Metric columns contain either single-element lists or scalars.
+       - Only flatten single-element lists to scalars, don't create new rows.
 
     Args:
         df: Dataframe to be exploded.