Code Editor for app.py

import streamlit as st
import plotly.express as px
import pandas as pd

# Mock data for each state
states_data = {
    'State': ['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'Florida', 'Georgia',
              'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland',
              'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada',
              'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma',
              'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah',
              'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming'],
    'Votes': [9, 3, 11, 6, 55, 9, 7, 3, 29, 16,
               4, 4, 20, 11, 6, 8, 8, 8, 4, 10,
               11, 15, 10, 6, 10, 3, 5, 6,
               4, 14, 5, 29, 15, 3, 18, 7,
               7, 20, 4, 11, 8, 38, 6, 3,
               3, 13, 10, 3, 10, 1]
}

# Create DataFrame
states_df = pd.DataFrame(states_data)

# Create a choropleth map
fig = px.choropleth(states_df,
                    geojson="https://raw.githubusercontent.com/PublicaMundi/MappingAPI/master/data/geojson/us-states.geojson",
                    locations='State',
                    featureidkey="properties.name",
                    color="Votes",
                    color_continuous_scale="Viridis",
                    scope="usa",
                    labels={'Votes': 'Electoral Votes'},
                    title='US Electoral Votes by State')

# Update layout for better interaction
fig.update_geos(fitbounds="locations", visible=False)
fig.update_layout(transition_duration=500)

# Display the plot
st.plotly_chart(fig, use_container_width=True)