Fix pytest9 and numpy2 deprecations by taranarmo · Pull Request #5524 · plotly/plotly.py · GitHub
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Fix pytest9 and numpy2 deprecations #5524

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Fix pytest9 and numpy2 deprecations #5524

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38ada79
fix: pytest9 compatibility
taranarmo Feb 24, 2026
c31ebe4
fix numpy 2.0 compatibility: use method and isin instead of deprecate…
taranarmo Feb 24, 2026
b8bbfff
add changelog entry for pytest 9 and numpy 2.0 fixes
taranarmo Feb 24, 2026
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4 changes: 4 additions & 0 deletions CHANGELOG.md
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10 changes: 6 additions & 4 deletions plotly/conftest.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,8 @@
import os
from pathlib import Path


def pytest_ignore_collect(path):
def pytest_ignore_collect(collection_path: Path):
# Ignored files, most of them are raising a chart studio error
ignored_paths = [
"exploding_module.py",
Expand All @@ -16,9 +17,10 @@ def pytest_ignore_collect(path):
"presentation_objs.py",
"session.py",
]
path_str = str(collection_path)
if (
os.path.basename(str(path)) in ignored_paths
or "plotly/plotly/plotly/__init__.py" in str(path)
or "plotly/api/utils.py" in str(path)
collection_path.name in ignored_paths
or "plotly/plotly/plotly/__init__.py" in path_str
or "plotly/api/utils.py" in path_str
):
return True
6 changes: 3 additions & 3 deletions plotly/figure_factory/_violin.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,9 +17,9 @@ def calc_stats(data):
x = np.asarray(data, float)
vals_min = np.min(x)
vals_max = np.max(x)
q2 = np.percentile(x, 50, interpolation="linear")
q1 = np.percentile(x, 25, interpolation="lower")
q3 = np.percentile(x, 75, interpolation="higher")
q2 = np.percentile(x, 50, method="linear")
q1 = np.percentile(x, 25, method="lower")
q3 = np.percentile(x, 75, method="higher")
iqr = q3 - q1
whisker_dist = 1.5 * iqr

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2 changes: 1 addition & 1 deletion tests/test_optional/test_px/test_px.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ def test_custom_data_scatter(backend):
)
for data in fig.data:
assert np.all(
np.in1d(data.customdata[:, 1], iris.get_column("petal_width").to_numpy())
np.isin(data.customdata[:, 1], iris.get_column("petal_width").to_numpy())
)
# Hover and custom data, no repeated arguments
fig = px.scatter(
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2 changes: 1 addition & 1 deletion tests/test_optional/test_px/test_px_functions.py
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