When plotting points and the points has a transformation additionally to the coordinates in the dataframe, the transformation is ignored. This could be related to https://github.com/scverse/spatialdata-plot/issues/171. ## Example code ```python from spatialdata import SpatialData from spatialdata.models import Image2DModel, PointsModel from spatialdata.transformations import Scale import numpy as np import pandas as pd import spatialdata_plot sdata = SpatialData( images={ "image1": Image2DModel.parse( np.full((10, 10, 3), fill_value=128), dims=("y", "x", "c") ) }, points={ "points1": PointsModel.parse( pd.DataFrame({"y": [0.1, 0.1, 0.9, 0.9], "x": [0.1, 0.9, 0.9, 0.1]}), transformations={"global": Scale([10, 10], ("y", "x"))}, ) }, ) sdata.pl.render_images("image1").pl.render_points("points1").pl.show() ``` Actual:  Expected:  ## Workaround Convert the coordinates in the dataframe to the global coordinate system (either overwriting, or storing under another key): ```python sdata.points["points1"] = sdata.transform_element_to_coordinate_system( sdata.points["points1"], "global" ) ``` Now the points have transformation `Identity()` for which it is no problem to be ignored.
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timtreis commentedon Dec 8, 2023
#198 now produces:
