Delaunay visualization fix

Author: Jammy2211

autoarray/config/visualize/plots.yaml

@@ -9,7 +9,7 @@ imaging:                                   # Settings for plots of imaging datas
    psf: false
 fit:                                       # Settings for plots of all fits (e.g. FitImaging, FitInterferometer).
   subplot_fit: true                        # Plot subplot of all fit quantities for any dataset (e.g. the model data, residual-map, etc.)?
-  subplot_fit_log10: true                  # Plot subplot of all fit quantities for any dataset using log10 color maps (e.g. the model data, residual-map, etc.)?
+  subplot_fit_log10: false                  # Plot subplot of all fit quantities for any dataset using log10 color maps (e.g. the model data, residual-map, etc.)?
   data: false                              # Plot individual plots of the data?
   noise_map: false                         # Plot individual plots of the noise-map?
   signal_to_noise_map: false               # Plot individual plots of the signal-to-noise-map?

autoarray/plot/inversion.py

@@ -257,14 +257,20 @@ def _plot_delaunay(ax, pixel_values, mapper, norm, colormap, is_subplot=False):
         tick labels (matches the behaviour of :func:`~autoarray.plot.array.plot_array`).
     """
     mesh_grid = mapper.source_plane_mesh_grid
-    x = mesh_grid[:, 1]
-    y = mesh_grid[:, 0]
+
+    if hasattr(mesh_grid, "array"):
+        mesh_grid = mesh_grid.array
+
+    mesh_grid = np.asarray(mesh_grid)
+
+    x = np.asarray(mesh_grid[:, 1], dtype=float)
+    y = np.asarray(mesh_grid[:, 0], dtype=float)
 
     if hasattr(pixel_values, "array"):
         vals = pixel_values.array
     else:
         vals = pixel_values
 
-    tc = ax.tripcolor(x, y, vals, cmap=colormap, norm=norm, shading="gouraud")
+    tc = ax.tripcolor(x, y, vals, cmap=colormap, norm=norm)
     from autoarray.plot.utils import _apply_colorbar
     _apply_colorbar(tc, ax, is_subplot=is_subplot)