Fix validate image parameters method for multiscale images

CHANGELOG.md

@@ -20,7 +20,7 @@ and this project adheres to [Semantic Versioning][].
 
 ### Fixed
 
--
+-   Giving a custom colormap when rendering a multiscale image now works (#586)
 
 ## [0.2.6] - 2024-09-04
 

src/spatialdata_plot/pl/utils.py

@@ -1897,18 +1897,18 @@ def _validate_image_render_params(
 
         if isinstance(palette := param_dict["palette"], list):
             if len(palette) == 1:
-                palette_length = len(channel) if channel is not None else len(spatial_element.c)
+                palette_length = len(channel) if channel is not None else len(spatial_element_ch)
                 palette = palette * palette_length
-            if (channel is not None and len(palette) != len(channel)) and len(palette) != len(spatial_element.c):
+            if (channel is not None and len(palette) != len(channel)) and len(palette) != len(spatial_element_ch):
                 palette = None
         element_params[el]["palette"] = palette
         element_params[el]["na_color"] = param_dict["na_color"]
 
         if (cmap := param_dict["cmap"]) is not None:
             if len(cmap) == 1:
-                cmap_length = len(channel) if channel is not None else len(spatial_element.c)
+                cmap_length = len(channel) if channel is not None else len(spatial_element_ch)
                 cmap = cmap * cmap_length
-            if (channel is not None and len(cmap) != len(channel)) or len(cmap) != len(spatial_element.c):
+            if (channel is not None and len(cmap) != len(channel)) or len(cmap) != len(spatial_element_ch):
                 cmap = None
         element_params[el]["cmap"] = cmap
         element_params[el]["norm"] = param_dict["norm"]

tests/pl/test_render_images.py

@@ -125,3 +125,6 @@ def test_plot_can_stack_render_images(self, sdata_blobs: SpatialData):
 
     def test_plot_can_stick_to_zorder(self, sdata_blobs: SpatialData):
         sdata_blobs.pl.render_shapes().pl.render_images().pl.show()
+
+    def test_plot_can_render_multiscale_image_with_custom_cmap(self, sdata_blobs: SpatialData):
+        sdata_blobs.pl.render_images("blobs_multiscale_image", channel=0, scale="scale2", cmap="Greys").pl.show()