Ploomber AI Editor | electoral-map-913d

App Description

fig = go.Figure(go.Scattergeo()) fig.update_geos( visible=False, resolution=110, scope="usa", showcountries=True, countrycolor="Black", showsubunits=True, subunitcolor="Blue" ) fig.update_layout(height=300, margin={"r":0,"t":0,"l":0,"b":0}) fig.show() Use this to build an electoral Map, with a color grading for which state have % of vote for the party, use the red / blue gradient for the party, Highlight the swing state

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Code Editor for app.py

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

data = {
    'usa_state_code': ['CA', 'TX', 'FL', 'NY', 'IL', 'OH', 'PA'],
    'state': states,
    'percent_republican': percentages,
    'percent_democrat': [100 - p for p in percentages]
}

df = pd.DataFrame(data)

fix = px.choropleth(df,
    locations = 'usa_state_code',
    locationmode = 'USA-states',
    color = 'percent_republican',
    hover_name = 'state',
    hove_data = 'percent_republican', 'percent_democrat',
    range_color = [10, 90],
    color_continuous_scale = 'armyrose'
)

# Streamlit app structure
st.title('Electoral Vote Map')
st.plotly_chart(fig)

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app.py