Do not rescale the cartesian view

We have been rescaling the cartesian view for quite a while, but it does not actually appear to be necessary. The pixel values from the raw view seem to be maintained when they are transformed to the cartesian view. Rescaling the values in the cartesian view is sometimes causing problems when there are, for instance, very high and low values. Signed-off-by: Patrick Avery <[email protected]>
HEXRD · Aug 3, 2023 · bc3a0cc · bc3a0cc
1 parent ebbd675
commit bc3a0cc
Showing 1 changed file with 0 additions and 9 deletions.
diff --git a/hexrd/ui/calibration/cartesian_plot.py b/hexrd/ui/calibration/cartesian_plot.py
@@ -289,15 +289,6 @@ def generate_image(self):
 
         # In case there were any nans...
         nan_mask = np.isnan(img)
-        img = np.ma.masked_array(img, mask=nan_mask, fill_value=0.)
-
-        # Rescale the data to match the scale of the original dataset
-        # TODO: try to get create_calibration_image to not rescale the
-        # result to be between 0 and 1 in the first place so this will
-        # not be necessary.
-        img = np.interp(img, (img.min(), img.max()), (self.min, self.max))
-
-        # Re-mask...
         self.img = np.ma.masked_array(img, mask=nan_mask, fill_value=0.)
 
     def update_images_dict(self):