Update app.py

app.py

@@ -760,6 +760,7 @@ try:
         st.dataframe(funnel_frequency)
         
         st.sidebar.header("Chart Settings")
+        
         bar_columns = st.sidebar.multiselect('Which columns should be displayed as bar charts?', sorted(funnel_percentage.columns))
         line_columns = st.sidebar.multiselect('Which columns should be displayed as line charts?', sorted(funnel_percentage.columns))
         
@@ -772,6 +773,9 @@ try:
         ascending = True if sort_order == 'Ascending' else False
         funnel_percentage_cleaned = funnel_percentage_cleaned.sort_values(by=columns, ascending=ascending)
         
+        # Update index to string to ensure proper sorting in Plotly
+        funnel_percentage_cleaned.index = funnel_percentage_cleaned.index.astype(str)
+        
         fig = go.Figure()
         
         # Define modern and diverse color palette
@@ -813,49 +817,16 @@ try:
             yaxis_title="Percentage",
             template="plotly_dark",
             barmode="group",
-            xaxis=dict(tickmode='array', categoryorder='array', categoryarray=funnel_percentage_cleaned.index.tolist())
+            xaxis=dict(
+                tickmode='array', 
+                categoryorder='array', 
+                categoryarray=funnel_percentage_cleaned.index.tolist()  # Ensure sorting of x-axis matches the DataFrame index
+            )
         )
         
         st.plotly_chart(fig)
 
     
-    elif main_option == "Segmentation Analysis":
-        st.header("Segmentation Analysis")
-        
-        st.sidebar.header("Selection of questions")
-        single_list = st.sidebar.multiselect(
-            'Single answer questions', 
-            cols,
-            default=[]
-        )
-    
-        multi_list = st.sidebar.multiselect(
-            'Multi answer questions', 
-            cols,
-            default=[]
-        )
-    
-        score_list = st.sidebar.multiselect(
-            'Score answer questions', 
-            cols,
-            default=[]
-        )
-    
-        matching_cols1 = []
-        for i in multi_list:
-            matching_cols1 += [col for col in df.columns if is_matching_pattern(col, i)]
-    
-        df_clean = process_dataframe(df[single_list + matching_cols1])
-        st.subheader("Selected Table")
-        st.dataframe(df_clean)
-
-        linkage_method = st.sidebar.selectbox("Select the Linkage Method of Segmentation Analysis:", ['average', 'single', 'complete', 'weighted', 'centroid', 'median', 'ward'])
-        
-        df_cluster = hierarchical_clustering_with_plotly(df_clean, linkage_method)
-
-        st.subheader("Cluster Table")
-        st.dataframe(df_clean)
-    
     elif main_option == "Hypothesis test":
         st.header("Hypothesis Testing")
         hypothesis_option = st.selectbox("Please select the type of hypothesis test:", ["Z test", "T test", "Chi-Square test", "ANOVA test"])