Update docs to indicate string IDs are allowed

Author: nickpowersys

caar/history.py

@@ -25,7 +25,7 @@ def create_inside_df(dict_or_pickle_file, thermo_ids=None):
     Args:
         dict_or_pickle_file (dict or str): The object must have been created with dict_from_file() or pickle_from_file() function.
 
-        thermo_ids (Optional[list or other iterable of ints]): Thermostat IDs. If no argument is specified, all IDs from the first arg will be in the DataFrame.
+        thermo_ids (Optional[list or other iterable of ints or strings]): Thermostat IDs. If no argument is specified, all IDs from the first arg will be in the DataFrame.
 
     Returns:
         inside_df (pandas DataFrame): DataFrame has MultiIndex based on the
@@ -47,7 +47,7 @@ def create_cycles_df(dict_or_pickle_file, thermo_ids=None):
     Args:
         dict_or_pickle_file (dict or str): Must have been created with dict_from_file() or pickle_from_file() function.
 
-        thermo_ids (Optional[list or other iterable of ints]): Thermostat IDs. If no  argument is specified, all IDs from the first arg will be in the DataFrame.
+        thermo_ids (Optional[list or other iterable of ints or strings]): Thermostat IDs. If no  argument is specified, all IDs from the first arg will be in the DataFrame.
 
     Returns:
         cycles_df (pandas DataFrame): DataFrame has MultiIndex based on the ID(s) and timestamps.
@@ -68,7 +68,7 @@ def create_outside_df(dict_or_pickle_file, location_ids=None):
     Args:
         dict_or_pickle_file (dict or str): Must have been created with dict_from_file() or pickle_from_file() function.
 
-        location_ids (Optional[list or other iterable of ints]): Location IDs. If no argument is specified, all IDs from the first arg will be in the DataFrame.
+        location_ids (Optional[list or other iterable of ints or strings]): Location IDs. If no argument is specified, all IDs from the first arg will be in the DataFrame.
 
     Returns:
         outside_df (pandas DataFrame): DataFrame has MultiIndex based on the ID(s) and timestamps.