Code Editor for app.py

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

st.title("European Countries GDP Map")

# Load Europe GeoJSON data
@st.cache_data
def load_europe_data():
    # NOTE: Using corsproxy.io because we're in a WASM environment. If running locally,
    # you can remove the corsproxy.io prefix.
    url = "https://corsproxy.io/?https://raw.githubusercontent.com/leakyMirror/map-of-europe/master/GeoJSON/europe.geojson"
    europe = gpd.read_file(url)
    return europe

# Create sample GDP data (2021 estimates, in billions USD)
gdp_data = {
    'NAME': [
        'Germany', 'United Kingdom', 'France', 'Italy', 'Spain', 
        'Netherlands', 'Switzerland', 'Poland', 'Sweden', 'Belgium',
        'Austria', 'Ireland', 'Norway', 'Denmark', 'Finland',
        'Portugal', 'Czech Republic', 'Romania', 'Greece', 'Hungary'
    ],
    'GDP': [
        4223, 3108, 2940, 2100, 1427,
        1012, 752, 674, 627, 578,
        477, 498, 482, 395, 297,
        253, 282, 284, 216, 182
    ]
}

# Create DataFrame
gdp_df = pd.DataFrame(gdp_data)

# Load and merge data
europe = load_europe_data()
europe = europe.merge(gdp_df, how='left', on='NAME')

# Create choropleth map using Plotly
fig = px.choropleth(
    europe,
    geojson=europe.geometry,
    locations=europe.index,
    color='GDP',
    hover_name='NAME',
    hover_data={'GDP': True},
    color_continuous_scale='Viridis',
    labels={'GDP': 'GDP (Billions USD)'},
)

# Update layout
fig.update_geos(
    fitbounds="locations",
    visible=False,
)

fig.update_layout(
    title_text='European Countries GDP Map',
    title_x=0.5,
    margin={"r": 0, "t": 30, "l": 0, "b": 0},
    height=600,
)

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

# Add information section
st.markdown("""
### About this visualization
- The map shows GDP values for European countries (2021 estimates)
- GDP values are in billions of USD
- Hover over countries to see specific details
- Darker colors indicate higher GDP values
- Some countries may not have GDP data available
""")