enh: add dual end slider for voxel number values

filter_data_app.py

@@ -44,12 +44,14 @@ def filter_data(df, filters):
         if value is not None and col != 'radiomics_feature':  # Exclude radiomics_feature from filtering
             if col == 'connected_volumes' and value:
                 df = df.filter((pl.col(col) <= value) & (pl.col(col).is_not_null()))
+            elif col == 'voxel_num_values' and value:
+                df = df.filter((pl.col('voxel_num') >= value[0]) & (pl.col('voxel_num') <= value[1]))
             else:
                 df = df.filter(pl.col(col) == value)
     # Filter based on radiomics feature
     radiomics_feature = filters.get('radiomics_feature')
     if radiomics_feature:
-        df = df.filter(pl.col(radiomics_feature) is not None)  # Filter where the radiomics feature is not None
+        df = df.filter(pl.col(radiomics_feature).is_not_null())  # Filter where the radiomics feature is not None
     return df
 
 # Function to create an UpSet plot for failed checks
@@ -112,7 +114,7 @@ def main():
                     'connected_volumes': None,
                     'laterality': None,
                     'radiomics_feature': 'Volume from Voxel Summation',  # Default radiomics feature
-                    'voxel_nums': None
+                    'voxel_num_values': None
                 }
 
             filters = st.session_state.filters
@@ -126,7 +128,7 @@ def main():
                     'connected_volumes': None,
                     'laterality': None,
                     #'radiomics_feature': 'Volume from Voxel Summation' 
-                    'voxel_nums':None,
+                    'voxel_num_values':None,
                 })
                 st.session_state.filters = filters
 
@@ -134,7 +136,6 @@ def main():
                 filters[filter_name] = value
                 st.session_state.filters = filters
 
-            
             # Radiomics feature selection
             radiomics_feature_options = [
                 'Volume from Voxel Summation',  # Default option
@@ -195,7 +196,6 @@ def main():
             laterality_options = [""] + filtered_df['laterality'].unique().to_list()
             voxel_num_options = filtered_df.filter(col('voxel_num').is_not_null()).select('voxel_num').unique().to_pandas().iloc[:, 0].tolist()
 
-            
             laterality = st.selectbox(
                 "Laterality",
                 options=laterality_options,
@@ -237,13 +237,16 @@ def main():
                 on_change=lambda: apply_filter('connected_volumes', st.session_state.connected_volumes)
             )
 
-            voxel_nums = st.slider("Voxel Number",
+            voxel_num_values = st.slider("Voxel Number",
                                     min_value=min(voxel_num_options), 
                                     max_value=max(voxel_num_options), 
-                                    key='voxel_num',  
-                                    on_change=lambda: apply_filter('voxel_nums', st.session_state.voxel_nums))
+                                    key='voxel_num_values', 
+                                    value=(min(voxel_num_options),max(voxel_num_options)),
+                                    on_change=lambda: apply_filter('voxel_num_values', st.session_state.voxel_num_values)
+            )
 
             st.session_state.filters = filters
+            filtered_df = filter_data(df, filters)
             
             if laterality:
                 body_part_df = df.filter((col('bodyPart') == lit(body_part)) & (col('laterality') == lit(laterality)))

test.py

@@ -0,0 +1,6 @@
+import streamlit as st
+
+values = st.slider(
+    "Select a range of values",
+    0.0, 100.0, (25.0, 75.0))
+st.write("Values:", values)