odc.geo.xr.ODCExtensionDa.add_to

ODCExtensionDa.add_to(map: Any, *, name: str | None = None, fmt: str = 'png', max_size: int = 4096, resampling: str = 'nearest', transparent_pixel: Tuple[int, int, int] | None = None, cmap: Any | None = None, clip: bool = False, vmin: float | None = None, vmax: float | None = None, robust: bool | None = None, **kw) → Any

Add image to an interactive map.

If map is not supplied, image data url and bounds are returned instead.

Parameters:

xx (Any) – The DataArray to display
map (Any) – Map object, folium and ipyleaflet are understood; can also be None which will return an image data url and bounds instead.
name (Optional[str]) – The name of the layer as it will appear in folium and ipyleaflet Layer Controls. The default None will use the input array name (e.g. xx.name) if it exists.
fmt (str) – Compress image format. Defaults to “png”; also supports “webp”, “jpeg”.
max_size (int) – If longest dimension is bigger than this, shrink it down before compression; defaults to 4096.
resampling (str) – Custom resampling method to use when reprojecting xx to the map CRS; defaults to “nearest”.
transparent_pixel (Optional[Tuple[int, int, int]]) – Replace transparent pixels with this value, needed for “jpeg”.
cmap (Optional[Any]) – If supplied array is not RGB use this colormap to turn it into one.
clip (bool) – When converting to RGB clip input values to fit cmap.
vmin (Optional[float]) – Used with matplotlib colormaps
vmax (Optional[float]) – Used with matplotlib colormaps
robust (Optional[bool]) – Used with matplotlib colormaps, vmin=2%, vmax=98%

Raises:

ValueError – when map object is not understood

Return type:

Any

Returns:

ImageLayer that was added to a map

Returns:

(url, bounds) when map is None.