Update app.py

app.py

@@ -65,6 +65,8 @@ def multi_answer(df):
             friquency[str(unique_values)] = df[i].value_counts().get(unique_values, 0)
         except Exception as e:
             st.error(f"Warning: One of the data columns has no value.: {e}")
+            friquency[i] = 0
+            
 
     friquency_dataframe = pd.DataFrame({"Value": friquency.keys(), "Friquency": friquency.values(), "Percentage": np.array(list(friquency.values()))/len(df.dropna(how='all'))*100}).sort_values(by='Value')
     friquency_dataframe.loc[len(friquency_dataframe)] = ['Sample_size', len(df.dropna(how='all')), 1]
@@ -275,7 +277,7 @@ if main_option == "Tabulation":
                         st.subheader("Frequency Table")
                         st.dataframe(frequency_df)
 
-                        fig = figo('Heatmap', percentile_df[:-1,:-1], title='Percentage Histogram', xlabel=var1, ylabel=var2, colorscale='Plotly3')
+                        fig = figo('Heatmap', percentile_df.iloc[:-1,:-1], title='Percentage Histogram', xlabel=var1, ylabel=var2, colorscale='Plotly3')
                         st.plotly_chart(fig, use_container_width=True)
 
                     elif type1 == "Single answer" and type2 == "Multiple answer":
@@ -288,7 +290,7 @@ if main_option == "Tabulation":
                             st.subheader("Frequency Table")
                             st.dataframe(frequency_df)
                             
-                            fig = figo('Heatmap', percentile_df[:-1,:-1], title='Percentage Histogram', xlabel=var1, ylabel=var2, colorscale='Plotly3')
+                            fig = figo('Heatmap', percentile_df.iloc[:-1,:-1], title='Percentage Histogram', xlabel=var1, ylabel=var2, colorscale='Plotly3')
                             st.plotly_chart(fig, use_container_width=True)
                             
                         else: