values for contrast_rescaling are now minmax and infer

Author: emmanuelle

packages/python/plotly/plotly/express/_imshow.py

@@ -189,10 +189,10 @@ def imshow(
         represented as grayscale and with no colorbar if use_binary_string is
         True.
 
-    contrast_rescaling: 'image', 'dtype', or None
+    contrast_rescaling: 'minmax', 'infer', or None
         how to determine data values corresponding to the bounds of the color
-        range, when zmin or zmax are not passed. If `image`, the min and max
-        values of the image are used. If `dtype`, a heuristic based on the image
+        range, when zmin or zmax are not passed. If `minmax`, the min and max
+        values of the image are used. If `infer`, a heuristic based on the image
         data type is used.
 
     Returns
@@ -291,9 +291,9 @@ def imshow(
         zmin = range_color[0]
         zmax = range_color[1]
     if contrast_rescaling is None:
-        contrast_rescaling = "image" if img.ndim == 2 else "dtype"
+        contrast_rescaling = "minmax" if img.ndim == 2 else "infer"
 
-    if contrast_rescaling == "image":
+    if contrast_rescaling == "minmax":
         if (zmin is not None or use_binary_string) and zmax is None:
             zmax = img.max()
         if (zmax is not None or use_binary_string) and zmin is None:

packages/python/plotly/plotly/tests/test_core/test_px/test_imshow.py

@@ -223,11 +223,11 @@ def test_imshow_source():
         np.float64,
     ],
 )
-@pytest.mark.parametrize("contrast_rescaling", ["image", "dtype"])
+@pytest.mark.parametrize("contrast_rescaling", ["minmax", "infer"])
 def test_imshow_source_dtype_zmax(dtype, contrast_rescaling):
     img = np.arange(100, dtype=dtype).reshape((10, 10))
     fig = px.imshow(img, use_binary_string=True, contrast_rescaling=contrast_rescaling)
-    if contrast_rescaling == "image":
+    if contrast_rescaling == "minmax":
         assert (
             np.max(
                 np.abs(