text type

appStore/policyaction.py

@@ -267,7 +267,7 @@ def filter_dataframe_action(df: pd.DataFrame) -> pd.DataFrame:
                     step=step,
                 )
                 df = df[df[column].between(*user_num_input)]
-            elif is_list_like(df[column]):
+            elif is_list_like(df[column]) & (type(df[column][0]) == list):
                 list_vals = set(x for lst in df[column].tolist() for x in lst)
                 user_multi_input = right.multiselect(
                     f"Values for {column}",
@@ -371,7 +371,7 @@ def filter_dataframe_policy(df: pd.DataFrame) -> pd.DataFrame:
                     step=step,
                 )
                 df = df[df[column].between(*user_num_input)]
-            elif is_list_like(df[column]):
+            elif is_list_like(df[column]) & (type(df[column][0]) == list):
                 list_vals = set(x for lst in df[column].tolist() for x in lst)
                 user_multi_input = right.multiselect(
                     f"Values for {column}",

appStore/target.py

@@ -294,7 +294,7 @@ def filter_dataframe(df: pd.DataFrame) -> pd.DataFrame:
                     f"Substring or regex in {column}",
                 )
                 if user_text_input:
-                    df = df[df[column].str.contains(user_text_input)]
+                    df = df[df[column].str.lower().str.contains(user_text_input)]
         df['keep'] = True
         df = df[['keep','text','Target Score','Netzero Label','GHG Label',
             'Conditional Label','Sector Label','Adapt-Mitig Label','page']]