FIX alphatims_wrapper docs

alpharaw/wrappers/alphatims_wrapper.py

@@ -8,7 +8,7 @@
 
 class AlphaTimsReader(MSData_Base):
     """
-    > TimsTOF data are too large, do not use this class
+    TimsTOF data are too large, do not use this class
     """
 
     def import_raw(self, burker_d_folder: str):
@@ -43,8 +43,16 @@ def import_raw(self, burker_d_folder: str):
 
 
 class AlphaTimsWrapper(TimsTOF):
-    """Create a AlphaTims object that contains
+    """Create a AlphaTims object containing
     all data in-memory (or memory mapping).
+
+    Attribute
+    ---------
+    slice_as_dataframe
+        Attribute from AlphaTims.
+        If True, AlphaTims slicing returns a pd.DataFrame by default.
+        If False, AlphaTims slicing provides a np.int64[:] with raw indices.
+        The value can be modified on-the-fly.
     """
 
     def __init__(self, msdata: MSData_Base, dda: bool, slice_as_dataframe: bool = True):
@@ -62,14 +70,15 @@ def __init__(self, msdata: MSData_Base, dda: bool, slice_as_dataframe: bool = Tr
         slice_as_dataframe : bool
             If True, slicing returns a pd.DataFrame by default.
             If False, slicing provides a np.int64[:] with raw indices.
-            This value can also be modified after creation.
             Default is True.
         """
         self._use_calibrated_mz_values_as_default = False
         self._import_alpharaw_object(msdata, dda)
         self.thermo_raw_file_name = msdata.raw_file_path
         self.bruker_d_folder_name = self.thermo_raw_file_name
-        self.slice_as_dataframe = slice_as_dataframe
+        self.slice_as_dataframe = (
+            slice_as_dataframe  # This value can be modified after creation.
+        )
         # Precompile
         self[0, "raw"]