more description

Polkas · Dec 23, 2023 · 65a5041 · 65a5041
1 parent 41137bd
commit 65a5041
Show file tree

Hide file tree

Showing 2 changed files with 4 additions and 2 deletions.
diff --git a/src/cat2cat/cat2cat.py b/src/cat2cat/cat2cat.py
@@ -38,8 +38,10 @@ def cat2cat(
         `mappings.trans` arg columns and the `data.cat_var` column have to be of the same type.
         When ml part is applied then `ml.cat_var` has to have the same type too.
         Changes have to be made at the same time for the mapping table and datasets.
-        Missing values in the mapping table or categorical variable can cause problems.
+        
+        3. Missing values in the mapping table or categorical variable can cause problems.
         It is recommended to use string or float types in the mapping table and for categorical variable.
+        Alternative solution can be representing missing values as a specific number (9999) or string ("Missing").
 
     >>> from cat2cat import cat2cat
     >>> from cat2cat.dataclass import cat2cat_data, cat2cat_mappings, cat2cat_ml

diff --git a/src/cat2cat/mappings.py b/src/cat2cat/mappings.py
@@ -26,7 +26,7 @@ def get_mappings(x: Table) -> Dict[str, Dict[Any, List[Any]]]:
     Note:
         There was made an effort to handle missings properly but please try to avoid of using NaN or None.
         It is recommended to use string or float types.
-
+        Alternative solution can be representing missing values as a specific number (9999) or string ("Missing").
 
     >>> from cat2cat.mappings import get_mappings
     >>> from numpy import array, nan