removed plots

src/spatialdata/_core/data_extent.py

@@ -217,14 +217,10 @@ def _(
             assert isinstance(transformations, dict)
             coordinate_systems = list(transformations.keys())
             if coordinate_system in coordinate_systems:
-                # kwargs = {"exact": exact} if isinstance(element_obj, (DaskDataFrame, GeoDataFrame)) else {}
-                # extent = get_extent(element_obj, coordinate_system=coordinate_system, **kwargs)
-
                 if isinstance(element_obj, (DaskDataFrame, GeoDataFrame)):
                     extent = get_extent(element_obj, coordinate_system=coordinate_system, exact=exact)
                 else:
                     extent = get_extent(element_obj, coordinate_system=coordinate_system)
-
                 axes = list(extent.keys())
                 for ax in axes:
                     new_min_coordinates_dict[ax] += [extent[ax][0]]

tests/core/test_data_extent.py

@@ -125,9 +125,8 @@ def test_rotate_vector_data(exact):
     To test for the ability to correctly compute the exact and approximate extent of vector datasets.
     In particular tests for the solution to this issue: https://github.com/scverse/spatialdata/issues/353
     """
-    import spatialdata_plot
-
-    _ = spatialdata_plot
+    # import spatialdata_plot
+    # _ = spatialdata_plot
     circles = []
     for p in [[0.5, 0.1], [0.9, 0.5], [0.5, 0.9], [0.1, 0.5]]:
         circles.append(Point(p))
@@ -175,7 +174,7 @@ def test_rotate_vector_data(exact):
     # sdata.pl.render_shapes("polygons").pl.show()
     # sdata.pl.render_shapes("multipolygons").pl.show()
     # sdata.pl.render_points("points", size=10).pl.show()
-    sdata.pl.render_points().pl.render_shapes().pl.show()
+    # sdata.pl.render_points().pl.render_shapes().pl.show()
 
     # manually computing the extent results and verifying it is correct
     for e in [sdata, circles_gdf, polygons_gdf, multipolygons_gdf, points_df]: