Add origin and cmap config options

python/lsst/analysis/tools/actions/plot/matrixPlot.py

@@ -98,6 +98,16 @@ class MatrixPlot(PlotAction):
         default="matrix",
     )
 
+    matrixOrigin = ChoiceField[str](
+        doc="Determines the starting corner ('upper', 'lower') for matrix plots.",
+        default="upper",
+        allowed={
+            "upper": "The origin is at the upper left corner.",
+            "lower": "The origin is at the lower left corner.",
+        },
+        optional=True,
+    )
+
     component1Key = Field[str](
         doc="The key to access a list of names for the first component set in a correlation analysis. This "
         "will be used to determine x-axis tick values and labels.",
@@ -146,6 +156,12 @@ class MatrixPlot(PlotAction):
         optional=True,
     )
 
+    colorbarCmap = Field[str](
+        doc="The colormap to use for the colorbar.",
+        default="viridis",
+        optional=True,
+    )
+
     vmin = Field[float](
         doc="The vmin value for the colorbar.",
         default=None,
@@ -365,7 +381,9 @@ def makePlot(self, data: KeyedData, plotInfo: Mapping[str, str] | None = None, *
 
         # Set the colorbar and draw the image.
         norm = ImageNormalize(vmin=vrange[0], vmax=vrange[1])
-        img = ax.imshow(matrix, interpolation="none", norm=norm)
+        img = ax.imshow(
+            matrix, interpolation="none", norm=norm, origin=self.matrixOrigin, cmap=self.colorbarCmap
+        )
 
         # Calculate the aspect ratio of the image.
         ratio = matrix.shape[0] / matrix.shape[1]