Plotting Module
- urbanpy.plotting.choropleth_map(gdf, color_column, df_filter=None, **kwargs)[source]
Produce a Choroplethmap using plotly by passing a GeoDataFrame.
- Parameters:
gdf (GeoDataFrame) – Input data containing a geometry column and features
color_column (str) – Column from gdf to use as color
df_filter (pd.Series, default to None) – Pandas Series containing true/false values that satisfy a condition (e.g. (df[‘population’] > 100))
**kwargs (Any parameter of plotly.px.choroplethmapbox.)
Examples
>>> hex_lima = urbanpy.geom.gen_hexagons(8, lima) >>> hex_lima['pop_2020'] = population_2020 >>> urbanpy.plotting.choropleth_map(hex_lima, 'pop_2020', [-12, -77])