Update numpy minimum version to 2.4.1

[blooop]

Summary

• Updates numpy version constraint from <=2.2.6 to <=2.4.1 to allow latest versions
• Upgrades project to use numpy 2.4.1 (latest stable version as of January 2025)

Investigation Results

The numpy version was limited to 2.2.6 since May 2025, but this constraint was simply outdated:

• NumPy 2.3.0 was released in June 2025
• NumPy 2.4.0 was released in December 2025
• All project dependencies (holoviews, pandas, xarray, etc.) are compatible with numpy 2.4.x
• No breaking changes affect this project's usage patterns

Test Plan

• Updated pyproject.toml numpy constraint to <=2.4.1
• Updated pixi.lock to use numpy 2.4.1
• Verified all dependency imports work correctly
• Ran subset of tests successfully with numpy 2.4.1
• Full CI pipeline passes (format, lint, type check, tests with coverage)

Benefits

• Access to latest numpy performance improvements and bug fixes
• Keeps project dependencies up-to-date
• Maintains compatibility with ecosystem packages requiring newer numpy

🤖 Generated with Claude Code

Summary by Sourcery

Relax numpy upper version constraint to support numpy 2.4.1 across the project.

Build:

• Update pyproject dependency constraint to allow numpy up to version 2.4.1.
• Refresh pixi.lock to resolve dependencies against numpy 2.4.1.

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Raises the upper bound of the NumPy dependency to 2.4.1 and refreshes the environment lockfile accordingly so the project can use the latest NumPy while keeping existing dependency ranges intact.

File-Level Changes

Change	Details	Files
Relax NumPy version upper bound to allow NumPy 2.4.1.	Update the NumPy dependency constraint to use an upper bound of 2.4.1 while retaining the existing lower bound. Keep all other dependency version ranges unchanged in the project configuration.	pyproject.toml
Regenerate environment lockfile to pin NumPy to 2.4.1 and align resolved dependencies.	Update the lockfile to reflect NumPy 2.4.1 as the resolved version. Refresh any transitive dependency resolutions affected by the NumPy upgrade.	pixi.lock

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