Fixed test, removed soon-to-be-deprecated tests

Author: timtreis

CHANGELOG.md

@@ -8,7 +8,7 @@ and this project adheres to [Semantic Versioning][].
 [keep a changelog]: https://keepachangelog.com/en/1.0.0/
 [semantic versioning]: https://semver.org/spec/v2.0.0.html
 
-## [0.0.5] -tbd
+## [0.1.0] - tbd
 
 ### Added
 
@@ -17,6 +17,8 @@ and this project adheres to [Semantic Versioning][].
 ### Fixed
 
 -   Legend order is now deterministic (#143)
+-   Images no longer normalised by default (#150)
+
 
 ## [0.0.4] - 2023-08-11
 

tests/pl/test_get_extent.py

@@ -42,15 +42,3 @@ def test_plot_extent_of_img_is_correct_after_spatial_query(self, sdata_blobs: Sp
             axes=["x", "y"], min_coordinate=[100, 100], max_coordinate=[400, 400], target_coordinate_system="global"
         )
         cropped_blobs.pl.render_images().pl.show()
-
-    def test_plot_extent_of_polygons_is_correct_after_spatial_query(self, sdata_blobs: SpatialData):
-        cropped_blobs = sdata_blobs.pp.get_elements(["blobs_polygons"]).query.bounding_box(
-            axes=["x", "y"], min_coordinate=[100, 100], max_coordinate=[400, 400], target_coordinate_system="global"
-        )
-        cropped_blobs.pl.render_shapes().pl.show()
-
-    def test_plot_extent_of_polygons_on_img_is_correct_after_spatial_query(self, sdata_blobs: SpatialData):
-        cropped_blobs = sdata_blobs.pp.get_elements(["blobs_image", "blobs_polygons"]).query.bounding_box(
-            axes=["x", "y"], min_coordinate=[100, 100], max_coordinate=[400, 400], target_coordinate_system="global"
-        )
-        cropped_blobs.pl.render_images().pl.render_shapes().pl.show()

tests/pl/test_render_shapes.py

@@ -85,7 +85,7 @@ def _make_multi():
         sdata = SpatialData(shapes={"p": _make_multi()})
         adata = anndata.AnnData(pd.DataFrame({"p": ["hole", "overlap", "square", "circle"]}))
         adata.obs.loc[:, "region"] = "p"
-        adata.obs.loc[:, "val"] = [1, 2, 3, 4]
+        adata.obs.loc[:, "val"] = [0, 1, 2, 3]
         table = TableModel.parse(adata, region="p", region_key="region", instance_key="val")
         sdata.table = table
         sdata.pl.render_shapes(color="val", outline=True, fill_alpha=0.3).pl.show()