Compatibility with evolving PyData libraries

packages/python/plotly/_plotly_utils/utils.py

@@ -167,15 +167,19 @@ def encode_as_sage(obj):
 
     @staticmethod
     def encode_as_pandas(obj):
-        """Attempt to convert pandas.NaT"""
+        """Attempt to convert pandas.NaT / pandas.NA"""
         pandas = get_module("pandas", should_load=False)
         if not pandas:
             raise NotEncodable
 
         if obj is pandas.NaT:
             return None
-        else:
-            raise NotEncodable
+
+        # pandas.NA was introduced in pandas 1.0
+        if hasattr(pandas, "NA") and obj is pandas.NA:
+            return None
+
+        raise NotEncodable
 
     @staticmethod
     def encode_as_numpy(obj):

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

@@ -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:

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

@@ -48,14 +48,14 @@ def test_automatic_zmax_from_dtype():
         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)