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Hi,
I find sdata.pl.render_points() works wiered when using the default datashader method. Maybe there there something wrong when processing the coordinates for datashader.
The output of sdata.pl.render_points("transcripts", color="feature_name", groups="A2M", size=100, palette="orange").pl.show():
The output of sdata.pl.render_shapes("cell_boundaries", color="A2M").pl.render_points("transcripts", color="feature_name", groups="A2M", size=100, palette="orange").pl.show() is similiar, the coordinate of transcripts is global:
The output of sdata.pl.render_shapes("cell_boundaries", color="A2M").pl.render_points("transcripts", color="feature_name", groups="A2M", method="matplotlib", palette="orange").pl.show() worked well:
Here is my spatialdata object:
The text was updated successfully, but these errors were encountered:
Thanks for the details. You are correct, there is problem with datashader which I reported here #291 and is currently being worked on. In the issue I posted a workaround (transform the points data before plotting).
Regarding the axis name, we do not plan to automatically write spatial; but if you are interested it you can for instance do
Hi,
I find
sdata.pl.render_points()
works wiered when using the default datashader method. Maybe there there something wrong when processing the coordinates for datashader.The output of
sdata.pl.render_points("transcripts", color="feature_name", groups="A2M", size=100, palette="orange").pl.show()
:The output of
sdata.pl.render_shapes("cell_boundaries", color="A2M").pl.render_points("transcripts", color="feature_name", groups="A2M", size=100, palette="orange").pl.show()
is similiar, the coordinate of transcripts is global:The output of
sdata.pl.render_shapes("cell_boundaries", color="A2M").pl.render_points("transcripts", color="feature_name", groups="A2M", method="matplotlib", palette="orange").pl.show()
worked well:Here is my spatialdata object:
The text was updated successfully, but these errors were encountered: