diff --git a/pages/30_Water Dew Point.py b/pages/30_Water Dew Point.py
index dbee991..45adc5b 100644
--- a/pages/30_Water Dew Point.py	
+++ b/pages/30_Water Dew Point.py	
@@ -51,7 +51,7 @@
 st.divider()
 
 st.edited_dfTP = st.data_editor(
-    st.session_state.tp_data['Pressure (bara)'].dropna().reset_index(drop=True),
+    st.session_state.tp_data[['Pressure (bara)']].dropna().reset_index(drop=True),
     num_rows='dynamic',  # Allows dynamic number of rows
     column_config={
         'Pressure (bara)': st.column_config.NumberColumn(
@@ -68,27 +68,30 @@
     # Check if water's MolarComposition[-] is greater than 0
     water_row = st.edited_df[st.edited_df['ComponentName'] == 'water']  # Adjust 'ComponentName' and 'water' as necessary
     if not water_row.empty and water_row['MolarComposition[-]'].iloc[0] > 0:
-        neqsim_fluid = fluid_df(st.edited_df, lastIsPlusFraction=False, add_all_components=False).autoSelectModel()
-        results_list = []
-        results_list2 = []
-        pres_list = []
-        fluid_results_list = []
-        for pres in st.edited_dfTP.dropna():
-            pressure = pres
-            pres_list.append(pressure)
-            neqsim_fluid.setPressure(pressure, 'bara')
-            results_list.append(hydt(neqsim_fluid)-273.15)
-            results_list2.append(waterdewt(neqsim_fluid)-273.15)
-            fluid_results_list.append(dataFrame(neqsim_fluid))
-        st.session_state['tp_data'] = pd.DataFrame({
-            'Pressure (bara)': pres_list,   # Default example pressure
-            'Hydrate Temperature (C)': results_list,  # Default temperature
-            'Aqueous Temperature (C)': results_list2  # Default temperature
-        })
-        st.session_state['tp_data'] = st.session_state['tp_data'].sort_values('Pressure (bara)')
-        st.success('Hydrate calculation finished successfully!')
-        combined_results = pd.concat(fluid_results_list, ignore_index=True)
-           
+        pressure_values = st.edited_dfTP['Pressure (bara)'].dropna()
+        if (pressure_values <= 0).any():
+            st.error('Pressure must be greater than 0 bara. Please update the pressure inputs before running calculations.')
+        else:
+            neqsim_fluid = fluid_df(st.edited_df, lastIsPlusFraction=False, add_all_components=False).autoSelectModel()
+            results_list = []
+            results_list2 = []
+            pres_list = []
+            fluid_results_list = []
+            for pressure in pressure_values:
+                pres_list.append(pressure)
+                neqsim_fluid.setPressure(pressure, 'bara')
+                results_list.append(hydt(neqsim_fluid)-273.15)
+                results_list2.append(waterdewt(neqsim_fluid)-273.15)
+                fluid_results_list.append(dataFrame(neqsim_fluid))
+            st.session_state['tp_data'] = pd.DataFrame({
+                'Pressure (bara)': pres_list,   # Default example pressure
+                'Hydrate Temperature (C)': results_list,  # Default temperature
+                'Aqueous Temperature (C)': results_list2  # Default temperature
+            })
+            st.session_state['tp_data'] = st.session_state['tp_data'].sort_values('Pressure (bara)')
+            st.success('Hydrate calculation finished successfully!')
+            combined_results = pd.concat(fluid_results_list, ignore_index=True)
+
         if st.session_state.get('refresh', True):
             st.edited_dfTP2 = st.data_editor(
                 st.session_state.tp_data.dropna().reset_index(drop=True),
@@ -114,7 +117,7 @@
         plt.figure(figsize=(10, 5))
         plt.plot(st.session_state['tp_data']['Hydrate Temperature (C)'], st.session_state['tp_data']['Pressure (bara)'], marker='o', linestyle='-',label="hydrate temperature")
         plt.plot(st.session_state['tp_data']['Aqueous Temperature (C)'], st.session_state['tp_data']['Pressure (bara)'], marker='x', linestyle='--',label="aqueous dew point")
-        
+
         plt.title('Dew Point Lines')
         plt.ylabel('Pressure (bara)')
         plt.xlabel('Temperature (C)')