python3Packages.plotly: fix compatibility with numpy 2.4

https://numpy.org/devdocs/release/2.4.0-notes.html#removed-interpolation-parameter-from-quantile-and-percentile-functions
https://numpy.org/devdocs/release/2.4.0-notes.html#removed-numpy-in1d

Upstream PRs:
plotly/plotly.py#5505
plotly/plotly.py#5522

Author: thunze

pkgs/development/python-modules/plotly/default.nix

@@ -48,6 +48,16 @@ buildPythonPackage rec {
     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", ' "" \

pkgs/development/python-modules/plotly/numpy-2.4-in1d.patch

@@ -0,0 +1,38 @@
+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 = (

pkgs/development/python-modules/plotly/numpy-2.4-percentile-interpolation.patch

@@ -0,0 +1,44 @@
+From 21c28da55da11d337b1a9744929df5a21b06ceac Mon Sep 17 00:00:00 2001
+From: MoMo <Mzlwmm748@gmail.com>
+Date: Sat, 14 Feb 2026 05:32:06 +0200
+Subject: [PATCH] Fix violin plot compatibility with NumPy 2.4+
+
+The interpolation parameter was removed in NumPy 2.4.0 and replaced
+with 'method'. This was causing create_violin() to fail with newer
+NumPy versions.
+
+Added version detection to use the correct parameter based on the
+installed NumPy version, maintaining backward compatibility with
+NumPy 1.x while supporting 2.4+.
+
+Fixes #5461
+---
+ plotly/figure_factory/_violin.py | 15 ++++++++++++---
+ 1 file changed, 12 insertions(+), 3 deletions(-)
+
+diff --git a/plotly/figure_factory/_violin.py b/plotly/figure_factory/_violin.py
+index 55924e69238..17351d8a1b4 100644
+--- a/plotly/figure_factory/_violin.py
++++ b/plotly/figure_factory/_violin.py
+@@ -17,9 +17,18 @@ 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")
++    
++    # NumPy 2.0+ renamed 'interpolation' parameter to 'method'
++    # https://numpy.org/doc/stable/release/2.0.0-notes.html#percentile-and-quantile-methods
++    numpy_version = tuple(map(int, np.__version__.split('.')[:2]))
++    if numpy_version >= (2, 0):
++        q2 = np.percentile(x, 50, method="linear")
++        q1 = np.percentile(x, 25, method="lower")
++        q3 = np.percentile(x, 75, method="higher")
++    else:
++        q2 = np.percentile(x, 50, interpolation="linear")
++        q1 = np.percentile(x, 25, interpolation="lower")
++        q3 = np.percentile(x, 75, interpolation="higher")
+     iqr = q3 - q1
+     whisker_dist = 1.5 * iqr
+