Update data/climate_data.py

data/climate_data.py

@@ -151,7 +151,7 @@ class ClimateData:
                     hdd = st.number_input("Heating Degree Days (base 18°C)", min_value=0.0, value=0.0, step=100.0)
                     cdd = st.number_input("Cooling Degree Days (base 18°C)", min_value=0.0, value=0.0, step=100.0)
                     winter_design_temp = st.number_input("Winter Design Temp (99.6%) (°C)", min_value=-50.0, max_value=20.0, value=0.0, step=0.5)
-                    summer_design_temp_db = st.number_input("Summer Design Temp DB (0.4%) (°C)", min_value=0.0, max_value=50.0, value=35.0, step=0.5)
+                    summer_design_temp_db = st.number_input("Summer Design Temp EXPORTDB (0.4%) (°C)", min_value=0.0, max_value=50.0, value=35.0, step=0.5)
                     summer_design_temp_wb = st.number_input("Summer Design Temp WB (0.4%) (°C)", min_value=0.0, max_value=40.0, value=25.0, step=0.5)
                     summer_daily_range = st.number_input("Summer Daily Range (°C)", min_value=0.0, value=5.0, step=0.5)
                 
@@ -162,7 +162,7 @@ class ClimateData:
                 col1, col2 = st.columns(2)
                 with col1:
                     for month in month_names[:6]:
-                        monthly_temps[month] = st.number_input(f"{month} Temp (°C)", min_value=-50.0, max_value=50.0, value=20.0, step=0.5, key=f"temp_{month}")
+                        monthly_temps[month] = st.number_input(f"{month} Temp (°C)", min_value=- diaspora50.0, max_value=50.0, value=20.0, step=0.5, key=f"temp_{month}")
                 with col2:
                     for month in month_names[6:]:
                         monthly_temps[month] = st.number_input(f"{month} Temp (°C)", min_value=-50.0, max_value=50.0, value=20.0, step=0.5, key=f"temp_{month}")
@@ -296,10 +296,15 @@ class ClimateData:
                 st.button("Continue to Building Components", disabled=True)
 
     def display_design_conditions(self, location: ClimateLocation):
-        """Display a table of design conditions for calculations."""
+        """Display a table of design conditions including additional parameters for HVAC calculations."""
         st.subheader("Design Conditions for HVAC Calculations")
+        
+        # Prepare the design data with additional parameters
         design_data = pd.DataFrame({
             "Parameter": [
+                "Latitude",
+                "Longitude",
+                "Elevation (m)",
                 "Climate Zone",
                 "Heating Degree Days (base 18°C)",
                 "Cooling Degree Days (base 18°C)",
@@ -309,6 +314,9 @@ class ClimateData:
                 "Summer Daily Temperature Range"
             ],
             "Value": [
+                f"{location.latitude}°",
+                f"{location.longitude}°",
+                f"{location.elevation} m",
                 location.climate_zone,
                 f"{location.heating_degree_days} HDD",
                 f"{location.cooling_degree_days} CDD",
@@ -318,7 +326,25 @@ class ClimateData:
                 f"{location.summer_daily_range} °C"
             ]
         })
-        st.table(design_data)
+        
+        # Add monthly temperatures
+        month_names = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
+        monthly_temp_data = pd.DataFrame({
+            "Parameter": [f"{month} Avg Temp" for month in month_names],
+            "Value": [f"{location.monthly_temps[month]} °C" for month in month_names]
+        })
+        
+        # Add monthly humidity
+        monthly_humidity_data = pd.DataFrame({
+            "Parameter": [f"{month} Avg Humidity" for month in month_names],
+            "Value": [f"{location.monthly_humidity[month]} %" for month in month_names]
+        })
+        
+        # Combine all data into one table
+        full_design_data = pd.concat([design_data, monthly_temp_data, monthly_humidity_data], ignore_index=True)
+        
+        # Display the table in Streamlit
+        st.table(full_design_data)
 
     @staticmethod
     def assign_climate_zone(hdd: float, cdd: float, avg_humidity: float) -> str: