Updated docstrings

Author: seanlaw

stumpy/core.py

@@ -2117,8 +2117,9 @@ def _preprocess(T, copy=True):
         Time series or sequence
 
     copy : bool, default True
-        A boolean value that indicates whether the process should be done on
-        input `T` (False) or its copy (True).
+        A boolean value that indicates whether the process should be performed on
+        input array `T` (False) or its copy (True). If `T` is a dataframe, then the
+        data is always copied into a brand new array.
 
     Returns
     -------
@@ -2173,8 +2174,9 @@ def preprocess(
         Window size
 
     copy : bool, default True
-        A boolean value that indicates whether the process should be done on
-        input `T` (False) or its copy (True).
+        A boolean value that indicates whether the process should be performed on
+        input array `T` (False) or its copy (True). If `T` is a dataframe, then the
+        data is always copied into a brand new array.
 
     M_T : numpy.ndarray, default None
         Rolling mean
@@ -2236,8 +2238,9 @@ def preprocess_non_normalized(T, m, copy=True):
         Window size
 
     copy : bool, default True
-        A boolean value that indicates whether the process should be done on
-        input `T` (False) or its copy (True).
+        A boolean value that indicates whether the process should be performed on
+        input array `T` (False) or its copy (True). If `T` is a dataframe, then the
+        data is always copied into a brand new array.
 
     Returns
     -------
@@ -2296,8 +2299,9 @@ def preprocess_diagonal(
         corresponding value set to False in this boolean array.
 
     copy : bool, default True
-        A boolean value that indicates whether the process should be done on
-        input `T` (False) or its copy (True).
+        A boolean value that indicates whether the process should be performed on
+        input array `T` (False) or its copy (True). If `T` is a dataframe, then the
+        data is always copied into a brand new array.
 
     Returns
     -------