python3Packages.plotly: fix build with pytest 9 and numpy 2.4 (#493409)

    hash = "sha256-7rMatpaZvHuNPpiXR5eUHultqNnLER1iW+GR3dwgkyo=";

  };

  patches = [

    # https://numpy.org/devdocs/release/2.4.0-notes.html#removed-interpolation-parameter-from-quantile-and-percentile-functions

    # Upstream PR: https://github.com/plotly/plotly.py/pull/5505

    ./numpy-2.4-percentile-interpolation.patch

    # https://numpy.org/devdocs/release/2.4.0-notes.html#removed-numpy-in1d

    # Upstream PR: https://github.com/plotly/plotly.py/pull/5522

    ./numpy-2.4-in1d.patch

  ];

  postPatch = ''

    substituteInPlace pyproject.toml \

      --replace-fail '"hatch", ' "" \

      --replace-fail "jupyter_packaging~=0.10.0" jupyter_packaging

    # `pytest_ignore_collect` takes only `collection_path` starting with

    # pytest 9. Most of the paths referenced in `plotly/conftest.py`

    # don't exist anymore and wouldn't be collected anyway, so we can just

    # remove the file.

    # https://docs.pytest.org/en/latest/deprecations.html#py-path-local-arguments-for-hooks-replaced-with-pathlib-path

    # Upstream PR: https://github.com/plotly/plotly.py/pull/5521

    rm plotly/conftest.py

  '';

  env.SKIP_NPM = true;

From 9531e7ff00be577560f2cebf6739343646d3c770 Mon Sep 17 00:00:00 2001

From: Tom Hunze <dev@thunze.de>

Date: Mon, 23 Feb 2026 19:21:45 +0100

Subject: [PATCH] Use `np.isin` instead of `np.in1d` to fix numpy 2.4 test

 compatibility

https://numpy.org/devdocs/release/2.4.0-notes.html#removed-numpy-in1d

---

 tests/test_optional/test_px/test_px.py           | 2 +-

 tests/test_optional/test_px/test_px_functions.py | 2 +-

 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_optional/test_px/test_px.py b/tests/test_optional/test_px/test_px.py

index 6c65925a727..a74c4680540 100644

--- a/tests/test_optional/test_px/test_px.py

+++ b/tests/test_optional/test_px/test_px.py

@@ -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(

diff --git a/tests/test_optional/test_px/test_px_functions.py b/tests/test_optional/test_px/test_px_functions.py

index 0814898f89d..8220ec7a33a 100644

--- a/tests/test_optional/test_px/test_px_functions.py

+++ b/tests/test_optional/test_px/test_px_functions.py

@@ -307,7 +307,7 @@ def test_sunburst_treemap_with_path_color(constructor):

     fig = px.sunburst(

         df.to_native(), path=path, color="sectors", color_discrete_map=cmap

     )

-    assert np.all(np.in1d(fig.data[0].marker.colors, list(cmap.values())))

+    assert np.all(np.isin(fig.data[0].marker.colors, list(cmap.values())))

     # Numerical column in path

     df = (

diff --git a/plotly/figure_factory/_violin.py b/plotly/figure_factory/_violin.py

index 55924e692..e89db0e11 100644

--- a/plotly/figure_factory/_violin.py

+++ b/plotly/figure_factory/_violin.py

@@ -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