hydromt_sfincs.plots.plot_basemap

hydromt_sfincs.plots.plot_basemap(ds: Dataset, geoms: Dict, variable: str = 'dep', shaded: bool = False, plot_bounds: bool = True, plot_region: bool = False, plot_geoms: bool = True, bmap: str = None, zoomlevel: int = 'auto', figsize: Tuple[int] = None, geom_names: List[str] = None, geom_kwargs: Dict = {}, legend_kwargs: Dict = {}, bmap_kwargs: Dict = {}, **kwargs)

Create basemap plot.

Parameters:

• ds (xr.Dataset) – Dataset with model maps

• geoms (Dict of geopandas.GeoDataFrame) – Model geometries

• variable (str, optional) – Map of variable in ds to plot, by default ‘dep’

• shaded (bool, optional) – Add shade to variable (only for variable = ‘dep’), by default False

• plot_bounds (bool, optional) – Add waterlevel (msk=2) and open (msk=3) boundary conditions to plot.

• plot_region (bool, optional) – If True, plot region outline.

• plot_geoms (bool, optional) – If True, plot available geoms.

• bmap (str, optional) – background map souce name, by default None Default image tiles “sat”, and “osm” are fetched from cartopy image tiles. If contextily is installed, xyzproviders tiles can be used as well.

• zoomlevel (int, optional) – zoomlevel, by default ‘auto’

• figsize (Tuple[int], optional) – figure size, by default None

• geom_names (List[str], optional) – list of model geometries to plot, by default all model geometries

• geom_kwargs (Dict of Dict, optional) – Model geometry styling per geometry, passed to geopandas.GeoDataFrame.plot method. For instance: {‘src’: {‘markersize’: 30}}.

• legend_kwargs (Dict, optional) – Legend kwargs, passed to ax.legend method.

Returns:

Model fig and ax objects

Return type:

fig, axes