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Hi,
Apparently, there is no support for spatialpandas.dask.DaskGeoDataFrame
s in HoloViz plotting libraries other than datashader.
A simple example:
import holoviews as hv
hv.extension("bokeh")
# I have a single-row Parquet file I created using spatialpandas.
# It only contains one row and one column, called geometry, which contains a MultiLine object.
# I can easily read in as a spatialpandas.dask.DaskGeoDataFrame:
from spatialpandas.io import read_parquet_dask
df = read_parquet_dask("sample_spatialpandas_row.parquet")
# I now want to plot the multiline. For instance, with hvplot:
import hvplot.dask
df.hvplot()
# This raises an exception: Supplied data type DaskGeoDataFrame not understood
# And the same goes for instance for GeoViews:
import geoviews as gv
gv.Path(df)
# It does not recognizes it as a geodataframe-like element, raising:
# ValueError: kdims: list length must be between 2 and 2 (inclusive)
The above is just an example, obviously. You can find the sample parquet file I used here (needs to be unzipped).
Having this working would allow datashading dinamically and directly from Holo/GeoViews/HvPlot using holoviews.operation.datashader
on larger than memory datasets, backed by spatialpandas.dask.DaskGeoDataFrame
, which would be amazing.
What do you think?
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