import streamlit as st import pandas as pd import plotly.graph_objects as go # Load the Excel file file_path = 'Dhaka Metro Rail Fare 2.XLSX' # Ensure the correct file path df = pd.read_excel(file_path) # Ensure necessary columns are present required_columns = ['Origin', 'Destination', 'Fare (৳)'] if not all(col in df.columns for col in required_columns): st.write("Please ensure the file contains 'Origin', 'Destination', and 'Fare' columns.") else: # Add coordinates for each station (example coordinates for illustration) coordinates = { "Uttara North": (23.869066, 90.367445), "Uttara Center": (23.860118, 90.365106), "Uttara South": (23.845934, 90.363175), "Pallabi": (23.82619516961383, 90.36481554252525), "Mirpur 11": (23.819438208310213, 90.36528532902963), "Mirpur 10": (23.808582994847285, 90.36821595330717), "Kazipara": (23.800017952100532, 90.37178261495391), "Shewrapara": (23.79070140857881, 90.37564622631841), "Agargaon": (23.778385546736345, 90.3800557456356), "Bijoy Sarani": (23.766638127271825, 90.38307537134754), "Farmgate": (23.75923604938459, 90.38694218434738), "Kawran Bazar": (23.751392319539104, 90.39275707447003), "Shahbagh": (23.740324209546923, 90.39600784811131), "Dhaka University": (23.732091083122114, 90.39659408796354), "Bangladesh Secretariat": (23.73004754106779, 90.40764881366906), "Motijheel": (23.72816566933198, 90.41923497972823), "Kamalapur": (23.732367758919807, 90.42547378971085) } # Add latitude and longitude for origin and destination based on the coordinates dictionary df['Origin_Lat'] = df['Origin'].map(lambda x: coordinates.get(x, (None, None))[0]) df['Origin_Lon'] = df['Origin'].map(lambda x: coordinates.get(x, (None, None))[1]) df['Destination_Lat'] = df['Destination'].map(lambda x: coordinates.get(x, (None, None))[0]) df['Destination_Lon'] = df['Destination'].map(lambda x: coordinates.get(x, (None, None))[1]) # Filter rows with missing coordinates df.dropna(subset=['Origin_Lat', 'Origin_Lon', 'Destination_Lat', 'Destination_Lon'], inplace=True) # Streamlit UI setup st.title("Dhaka Metro Rail Fare Checker 🚇") st.write("Below is the fare chart for Dhaka Metro Rail 💶:") # Instruction sidebar st.sidebar.title("Instructions") st.sidebar.write(""" **Welcome to the Dhaka Metro Rail Fare Checker!** *How to use:* 1. Select your **Location station** from the dropdown menu. 2. Select your **destination(s)** by clicking the destination buttons. 3. The fare from your location to the selected destination(s) will be displayed below. 4. You can also see the stations marked on a map. **Note:** The map highlights your location in green and destinations in blue. If you face any issues or need further assistance, feel free to [Contact Support on WhatsApp](https://wa.me/+8801719296601). """) # Define the default "Select Journey from" message default_origin = "Select Journey from" # Dropdown for selecting origin (with "Select Journey from" as a default placeholder) origin = st.selectbox( "Select your Location:", [default_origin] + df['Origin'].unique().tolist(), # Add the "Select Journey from" option at the top index=0 # Ensure the first option is selected by default ) # Initialize session state for destination selection if not already set if 'destination_select' not in st.session_state: st.session_state.destination_select = [] # Display buttons for each destination in 3 columns if origin != default_origin: st.write(f"Select your destination(s) from {origin}:") # Create 3 columns cols = st.columns(3) # Loop through all possible destinations and create a button for each in the columns dest_buttons = df['Destination'].unique() for i, dest in enumerate(dest_buttons): col_idx = i % 3 # Determine column index based on button position with cols[col_idx]: if st.button(f"Select {dest}", key=f"btn_{dest}"): if dest not in st.session_state.destination_select: st.session_state.destination_select.append(dest) else: st.session_state.destination_select.remove(dest) # Clear all selected destinations button if st.button("Clear All Destinations"): st.session_state.destination_select = [] # Display selected destinations and calculate fares destinations = st.session_state.destination_select if origin == default_origin: st.write("Please select a valid origin station to proceed.") elif origin and destinations: # Filter the dataframe based on user selection fare_data = df[(df['Origin'] == origin) & (df['Destination'].isin(destinations))] # Display the fare data # Display the fare data in a creative and aesthetic format if not fare_data.empty: for index, row in fare_data.iterrows(): origin_to_dest_fare = row['Fare (৳)'] destination = row['Destination'] # Creative output with icons, emojis, and styled text fare_message = f"""

🚇 {origin} to {destination} Fare

💵 Fare: {origin_to_dest_fare}৳

✨ Enjoy your journey on the Dhaka Metro! 🚉

""" st.markdown(fare_message, unsafe_allow_html=True) else: st.write("No fare data available for the selected origin and destinations.") else: st.write("Please select both an origin and at least one destination.") st.write("Below is the Map for Dhaka Metro Rail 💶:") # Plotting the map using Plotly fig = go.Figure() # Add markers for each unique station unique_stations = pd.concat([df[['Origin', 'Origin_Lat', 'Origin_Lon']].rename(columns={'Origin': 'Station', 'Origin_Lat': 'Lat', 'Origin_Lon': 'Lon'}), df[['Destination', 'Destination_Lat', 'Destination_Lon']].rename(columns={'Destination': 'Station', 'Destination_Lat': 'Lat', 'Destination_Lon': 'Lon'})]).drop_duplicates() # Add a map marker for each station for i, row in unique_stations.iterrows(): if row['Station'] == origin: # Mark the origin as green fig.add_trace(go.Scattermapbox( mode="markers+text", lon=[row['Lon']], lat=[row['Lat']], marker={'size': 12, 'color': 'green'}, text=row['Station'], textposition="top center", name=row['Station'], customdata=[row['Station']] # customdata is now a list )) elif row['Station'] in destinations: # Mark the destination as blue fig.add_trace(go.Scattermapbox( mode="markers+text", lon=[row['Lon']], lat=[row['Lat']], marker={'size': 12, 'color': 'blue'}, text=row['Station'], textposition="top center", name=row['Station'], customdata=[row['Station']] # customdata is now a list )) else: # Mark all other stations as red fig.add_trace(go.Scattermapbox( mode="markers+text", lon=[row['Lon']], lat=[row['Lat']], marker={'size': 12, 'color': 'red'}, text=row['Station'], textposition="top center", name=row['Station'], customdata=[row['Station']] # customdata is now a list )) # Map layout fig.update_layout( mapbox=dict( style="open-street-map", center=go.layout.mapbox.Center(lat=23.780, lon=90.400), # Center on Dhaka zoom=11 ), margin={"r":0,"t":0,"l":0,"b":0}, showlegend=False, title="Dhaka Metro Rail Location Map" ) # Show plot in Streamlit st.plotly_chart(fig)