Remove deprecated numpy types in tests

Author: bnavigator

packages/python/plotly/_plotly_utils/tests/validators/test_integer_validator.py

@@ -58,7 +58,7 @@ def test_acceptance_min_max(val, validator_min_max):
 
 
 @pytest.mark.parametrize(
-    "val", [-1.01, -10, 2.1, 3, np.iinfo(np.int).max, np.iinfo(np.int).min]
+    "val", [-1.01, -10, 2.1, 3, np.iinfo(int).max, np.iinfo(int).min]
 )
 def test_rejection_min_max(val, validator_min_max):
     with pytest.raises(ValueError) as validation_failure:

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

@@ -9,7 +9,7 @@
 from plotly.express.imshow_utils import rescale_intensity
 
 img_rgb = np.array([[[255, 0, 0], [0, 255, 0], [0, 0, 255]]], dtype=np.uint8)
-img_gray = np.arange(100, dtype=np.float).reshape((10, 10))
+img_gray = np.arange(100, dtype=float).reshape((10, 10))
 
 
 def decode_image_string(image_string):
@@ -47,7 +47,7 @@ def test_automatic_zmax_from_dtype():
     dtypes_dict = {
         np.uint8: 2**8 - 1,
         np.uint16: 2**16 - 1,
-        np.float: 1,
+        float: 1,
         bool: 255,
     }
     for key, val in dtypes_dict.items():

packages/python/plotly/plotly/tests/test_optional/test_utils/test_utils.py

@@ -414,8 +414,8 @@ def test_numpy_integer_import(self):
         import plotly.graph_objects as go
         from plotly.subplots import make_subplots
 
-        indices_rows = np.array([1], dtype=np.int)
-        indices_cols = np.array([1], dtype=np.int)
+        indices_rows = np.array([1], dtype=int)
+        indices_cols = np.array([1], dtype=int)
         fig = make_subplots(rows=1, cols=1)
         fig.add_trace(go.Scatter(y=[1]), row=indices_rows[0], col=indices_cols[0])