can't see data on map about xarray_leaflet HOT 3 CLOSED

Hi Rosa,

Thanks for the kind words!
The problem is that xarray-leaflet currently expects a coordinate reference system (CRS), and we rely on rioxarray for that. Same for nodata management. I tried your example with the following code and it works on my side:

import rioxarray

da = da.rio.write_crs(4326)  # WGS 84
da = da.rio.write_nodata(np.nan)

l = da.leaflet.plot(m, colormap=plt.cm.viridis)

Please let me know if that solves you issue.

David.

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Hi David

Thank you for your swift reply. Indeed it makes sense it needs a projection.

It works now, but only with JupyerNotebook, not with JupyterLab. It seems that, for JupyterLab, LocalTileLayer needs to have path='files/{full_path_since_notebook_origin}/{z}/{x}/{y}.png' (following ipyleaflet issue)

I ran your example notebooks on Jupyter Notebook and they run just fine. I can the same docker image, so no problem.

Thank you so much!
Cheers
Rosa

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@rosatrancoso I met the same issue in jupyterlab. Could you share how to set the LocalTileLayer?

For example, I have added the crs to data:

from ipyleaflet import Map, basemaps, LayersControl, WidgetControl

m = Map(center=[40, 115], zoom=3, basemap=basemaps.CartoDB.DarkMatter, interpolation='nearest')

data = data.rio.write_crs(4326)  # WGS 84
data = data.rio.write_nodata(np.nan)

data.leaflet.plot(m, colormap='vidiris')

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