Add NODATA environment variable

leafmap/common.py

@@ -2957,6 +2957,11 @@ def get_local_tile_layer(
     else:
         tile_client = source
 
+    if nodata is None:
+        nodata = get_api_key("NODATA")
+        if isinstance(nodata, str):
+            nodata = float(nodata)
+
     if quiet:
         output = widgets.Output()
         with output:

pyproject.toml

@@ -29,13 +29,13 @@ authors = [{name = "Qiusheng Wu", email = "[email protected]"}]
 
 [project.optional-dependencies]
 backends = ["bokeh", "keplergl", "maplibre", "pydeck", "plotly"]
-lidar = ["ipygany", "ipyvtklink", "laspy", "panel", "pyntcloud[LAS]", "pyvista"]
-raster = ["localtileserver>=0.10.0", "jupyter-server-proxy", "rio-cogeo", "rioxarray", "netcdf4", "pynhd", "py3dep", "d2spy"]
+lidar = ["geopandas","ipygany", "ipyvtklink", "laspy", "panel", "pyntcloud[LAS]", "pyvista[all]"]
+raster = ["localtileserver>=0.10.4", "jupyter-server-proxy", "rio-cogeo", "rioxarray", "netcdf4", "pynhd", "py3dep", "d2spy"]
 sql = ["psycopg2", "sqlalchemy"]
 apps = ["streamlit-folium", "voila", "solara"]
 vector = ["geopandas", "osmnx", "pmtiles", "flask", "flask-cors", "lonboard", "mapclassify"]
 pmtiles = ["pmtiles", "flask", "flask-cors"]
-ai = ["geopandas", "osmnx", "localtileserver>=0.10.0", "rastervision", "pytorch-lightning"]
+ai = ["geopandas", "osmnx", "localtileserver>=0.10.4", "rastervision", "pytorch-lightning", "torchgeo"]
 maplibre = ["geopandas", "h3", "ipyvuetify", "localtileserver", "mapclassify", "maplibre", "pmtiles", "rioxarray", "xarray"]
 gdal = ["gdal", "pyproj"]