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- import plotly.express as px
- import numpy as np
- df = px.data.gapminder().query("year == 2007")
- fig = px.treemap(df,
- path=[px.Constant("world"), 'continent', 'country'],
- values='pop',
- color='lifeExp',
- hover_data=['iso_alpha'],
- color_continuous_scale='RdBu',
- color_continuous_midpoint=np.average(df['lifeExp'],weights=df['pop']))
- fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
- fig.show()
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