Visualization

Visualization Settings in Jupyter

The pybdshadow` package provide visualization methods based on the visualization plugin provided by kepler.gl.

If you want to display the visualization results in jupyter notebook, you need to check the jupyter-js-widgets (which may need to be installed separately) and keplergl-jupyter plugins

_images/jupytersettings.png

Visualization

pybdshadow.show_bdshadow(buildings=Empty GeoDataFrame Columns: [] Index: [], shadows=Empty GeoDataFrame Columns: [] Index: [], ad=Empty GeoDataFrame Columns: [] Index: [], ad_visualArea=Empty GeoDataFrame Columns: [] Index: [], height='height', zoom='auto')

Visualize the building and shadow with keplergl.

Parameters:

  • buildings (GeoDataFrame) – Buildings. coordinate system should be WGS84

  • shadows (GeoDataFrame) – Building shadows. coordinate system should be WGS84

  • ad (GeoDataFrame) – Advertisment. coordinate system should be WGS84

  • ad_visualArea (GeoDataFrame) – Visualarea of Advertisment. coordinate system should be WGS84

  • height (string) – Column name of building height

  • zoom (number) – Zoom level of the map

Returns:

vmap – Visualizations provided by keplergl

Return type:

keplergl.keplergl.KeplerGl