Code Editor for app.py

import streamlit as st
import pandas as pd
import numpy as np

st.title("US States Map Visualization")

# Load US states data with coordinates (approximately center of 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'
    ],
    'latitude': [
        32.7794, 64.0685, 34.2744, 34.8938, 36.7783, 39.5501,
        41.6032, 39.0458, 27.6648, 32.1656, 19.8968, 44.2394,
        40.0417, 39.8647, 41.9383, 38.5266, 37.8393, 30.9843,
        45.2538, 39.0458, 42.4072, 44.3148, 46.7296, 32.3547,
        38.5767, 46.8797, 41.4925, 38.8026, 43.1939, 40.0583,
        34.5199, 42.1497, 35.7596, 47.5515, 40.4173, 35.0078,
        44.5720, 40.2731, 41.5801, 33.8361, 44.3683, 35.5175,
        31.9686, 40.7608, 44.5588, 37.4316, 47.7511, 38.5976,
        44.2563, 42.7475
    ],
    'longitude': [
        -86.8287, -152.2782, -111.6602, -92.4426, -119.4179, -105.7821,
        -72.7559, -75.4192, -81.5158, -82.9001, -155.5828, -114.5103,
        -89.4937, -86.2604, -93.3898, -96.7265, -84.2700, -91.9623,
        -69.4455, -76.6413, -71.3824, -85.6024, -94.6859, -89.3985,
        -92.1735, -110.3626, -99.9018, -116.4194, -71.5724, -74.4057,
        -105.8701, -74.1454, -79.0193, -101.0020, -82.9071, -97.0929,
        -122.0709, -77.9055, -71.4774, -81.1637, -100.3510, -86.5804,
        -99.9018, -111.8910, -72.5778, -78.6569, -120.7401, -80.4549,
        -89.6385, -107.2085
    ]
}

df = pd.DataFrame(states_data)

# Create multiselect widget for states
selected_states = st.multiselect(
    "Select states to visualize",
    options=df['state'].tolist(),
    default=['California', 'New York', 'Texas']
)

# Filter dataframe based on selection
if selected_states:
    filtered_df = df[df['state'].isin(selected_states)]
    
    # Display map
    st.map(
        filtered_df,
        latitude='latitude',
        longitude='longitude',
        size=50000,  # Size of the points
        color='#FF0000'  # Red color for visibility
    )
    
    # Display selected states in a table
    st.subheader("Selected States")
    st.table(filtered_df[['state', 'latitude', 'longitude']])
else:
    st.warning("Please select at least one state to visualize")