FIX: create_violin() compatible with NumPy 2.4 percentile API

[AJSTYLE-lab]

Summary

This PR fixes the create_violin() function in plotly.figure_factory._violin that was failing on NumPy 2.4+ due to the removal of the interpolation argument in np.percentile.

Previously, the code used:
python np.percentile(x, q, interpolation="linear")

which raises TypeError in NumPy 2.4.

This PR introduces a safe wrapper _percentile() that uses method="linear" for NumPy >= 2.4 and falls back to interpolation="linear" for older versions.

Fix

• Added _percentile() helper function in _violin.py.

• Updated calc_stats() to use _percentile() for all percentile calculations (q1, q2, q3).

Checklist

• Added or updated code to handle NumPy 2.4+ API

• Verified that TestViolin.test_violin_fig now passes

• Ran all unit tests locally (pytest) to confirm no regressions

• Committed changes with clear message

• PR targets main branch of plotly/plotly.py

• Followed contribution guidelines

Tests

• Ran locally:
  python -m pytest tests/test_optional/test_figure_factory/test_figure_factory.py::TestViolin::test_violin_fig
• Test result: ✅ Passed
• Compatible with all supported NumPy versions (>=1.17, including 2.4).

Additional Notes

• This PR only modifies _violin.py; no other files affected.

• Code formatting checked with ruff.

• Closes [BUG]: create_violin() failure with numpy==2.4.0: TypeError: percentile() got an unexpected keyword argument 'interpolation' #5461

Screenshot of Testing: