stop relying on np.bool

Author: nicolaskruchten

Diff for: packages/python/plotly/plotly/express/_imshow.py

@@ -50,7 +50,7 @@ def _infer_zmax_from_type(img):
         elif im_max <= 65535 * rtol:
             return 65535
         else:
-            return 2**32
+            return 2 ** 32
 
 
 def imshow(
@@ -351,7 +351,7 @@ def imshow(
         binary_string = img.ndim >= (3 + slice_dimensions) and not is_dataframe
 
     # Cast bools to uint8 (also one byte)
-    if img.dtype == np.bool:
+    if img.dtype == bool:
         img = 255 * img.astype(np.uint8)
 
     if range_color is not None:

Diff for: packages/python/plotly/plotly/tests/test_optional/test_px/test_imshow.py

@@ -45,17 +45,17 @@ def test_zmax():
 
 def test_automatic_zmax_from_dtype():
     dtypes_dict = {
-        np.uint8: 2**8 - 1,
-        np.uint16: 2**16 - 1,
+        np.uint8: 2 ** 8 - 1,
+        np.uint16: 2 ** 16 - 1,
         np.float: 1,
-        np.bool: 255,
+        bool: 255,
     }
     for key, val in dtypes_dict.items():
         img = np.array([0, 1], dtype=key)
         img = np.dstack((img,) * 3)
         fig = px.imshow(img, binary_string=False)
         # For uint8 in "infer" mode we don't pass zmin/zmax unless specified
-        if key in [np.uint8, np.bool]:
+        if key in [np.uint8, bool]:
             assert fig.data[0]["zmax"] is None
         else:
             assert fig.data[0]["zmax"] == (val, val, val, 255)
@@ -195,9 +195,7 @@ def test_imshow_xarray_slicethrough():
 
 
 def test_imshow_labels_and_ranges():
-    fig = px.imshow(
-        [[1, 2], [3, 4], [5, 6]],
-    )
+    fig = px.imshow([[1, 2], [3, 4], [5, 6]],)
     assert fig.layout.xaxis.title.text is None
     assert fig.layout.yaxis.title.text is None
     assert fig.layout.coloraxis.colorbar.title.text is None
@@ -386,11 +384,7 @@ def test_facet_col(facet_col, binary_string):
 @pytest.mark.parametrize("binary_string", [False, True])
 def test_animation_frame_grayscale(animation_frame, binary_string):
     img = np.random.randint(255, size=(10, 9, 8)).astype(np.uint8)
-    fig = px.imshow(
-        img,
-        animation_frame=animation_frame,
-        binary_string=binary_string,
-    )
+    fig = px.imshow(img, animation_frame=animation_frame, binary_string=binary_string,)
     nslices = img.shape[animation_frame]
     assert len(fig.frames) == nslices
 
@@ -399,11 +393,7 @@ def test_animation_frame_grayscale(animation_frame, binary_string):
 @pytest.mark.parametrize("binary_string", [False, True])
 def test_animation_frame_rgb(animation_frame, binary_string):
     img = np.random.randint(255, size=(10, 9, 8, 3)).astype(np.uint8)
-    fig = px.imshow(
-        img,
-        animation_frame=animation_frame,
-        binary_string=binary_string,
-    )
+    fig = px.imshow(img, animation_frame=animation_frame, binary_string=binary_string,)
     nslices = img.shape[animation_frame]
     assert len(fig.frames) == nslices