python3Packages.plotly: 6.6.0 -> 6.7.0 (#509094)

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

@@ -5,8 +5,7 @@
   fetchFromGitHub,
 
   # build-system
-  jupyter-packaging,
-  setuptools,
+  hatchling,
 
   # dependencies
   narwhals,
@@ -38,31 +37,23 @@
 
 buildPythonPackage (finalAttrs: {
   pname = "plotly";
-  version = "6.6.0";
+  version = "6.7.0";
   pyproject = true;
 
   src = fetchFromGitHub {
     owner = "plotly";
     repo = "plotly.py";
     tag = "v${finalAttrs.version}";
-    hash = "sha256-t1IYu3PL/B71fhX5LVQrjAKkQSjPC+wZjMnBp4kPTNY=";
+    hash = "sha256-gykhl1aBgKCkJVv507UJk4xdYaruV/aU+JLYmvyFYbY=";
   };
 
   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
@@ -75,8 +66,7 @@ buildPythonPackage (finalAttrs: {
   env.SKIP_NPM = true;
 
   build-system = [
-    setuptools
-    jupyter-packaging
+    hatchling
   ];
 
   dependencies = [

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

@@ -1,17 +0,0 @@
-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
-