Update app.py

app.py

@@ -338,8 +338,8 @@ if main_option == "Tabulation":
                     if type1 == "Single answer" and type2 == "Single answer":
                         percentile_df, frequency_df = two_variable_ss(df[[var1, var2]], var1, var2)
                         st.subheader("Percentage Table")
-                        st.write(z_test_data(percentile_df).to_html(), unsafe_allow_html=True)
                         #st.dataframe(z_test_data(percentile_df), unsafe_allow_html=True)
+                        st.dataframe(z_test_data(percentile_df), use_container_width=True)
 
                         st.subheader("Frequency Table")
                         st.dataframe(frequency_df)
@@ -352,8 +352,8 @@ if main_option == "Tabulation":
                         if matching_cols:
                             percentile_df, frequency_df = two_variable_sm(df[[var1] + matching_cols], var1, matching_cols)
                             st.subheader("Percentage Table")
-                            st.write(z_test_data(percentile_df).to_html(), unsafe_allow_html=True)
                             #st.dataframe(z_test_data(percentile_df), unsafe_allow_html=True)
+                            st.dataframe(z_test_data(percentile_df), use_container_width=True)
 
                             st.subheader("Frequency Table")
                             st.dataframe(frequency_df)
@@ -370,8 +370,8 @@ if main_option == "Tabulation":
                         if matching_cols1 and matching_cols2:
                             percentile_df, frequency_df = two_variable_mm(df[matching_cols1 + matching_cols2], matching_cols1, matching_cols2)
                             st.subheader("Percentage Table")
-                            st.write(z_test_data(percentile_df).to_html(), unsafe_allow_html=True)
                             #st.dataframe(z_test_data(percentile_df), unsafe_allow_html=True)
+                            st.dataframe(z_test_data(percentile_df), use_container_width=True)
 
                             st.subheader("Frequency Table")
                             st.dataframe(frequency_df)