Index: plotly.py-5.11.0/packages/python/plotly/plotly/tests/test_optional/test_px/test_imshow.py =================================================================== --- plotly.py-5.11.0.orig/packages/python/plotly/plotly/tests/test_optional/test_px/test_imshow.py +++ plotly.py-5.11.0/packages/python/plotly/plotly/tests/test_optional/test_px/test_imshow.py @@ -9,7 +9,7 @@ import datetime 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(): Index: plotly.py-5.11.0/packages/python/plotly/_plotly_utils/tests/validators/test_integer_validator.py =================================================================== --- plotly.py-5.11.0.orig/packages/python/plotly/_plotly_utils/tests/validators/test_integer_validator.py +++ plotly.py-5.11.0/packages/python/plotly/_plotly_utils/tests/validators/test_integer_validator.py @@ -58,7 +58,7 @@ def test_acceptance_min_max(val, validat @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: Index: plotly.py-5.11.0/packages/python/plotly/plotly/tests/test_optional/test_utils/test_utils.py =================================================================== --- plotly.py-5.11.0.orig/packages/python/plotly/plotly/tests/test_optional/test_utils/test_utils.py +++ plotly.py-5.11.0/packages/python/plotly/plotly/tests/test_optional/test_utils/test_utils.py @@ -414,8 +414,8 @@ class TestNumpyIntegerBaseType(TestCase) 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])