Version 1.1.0 (2024-02-18)

This is a minor version with new features, deprecations, and documentation improvements.

New Features

• Added two dimensional versions of various baseline correction algorithms, with the focus on Whittaker-smoothing-based, spline, and polynomial methods. These can be accessed using the new Baseline2D class.
• Added the Baseline2D.individual_axes method, which allows fitting each row and/or column in two dimensional data with any one dimensional method in pybaselines.
• Added a version of the rubberband method to pybaselines.misc which allows fitting individual segments within data to better fit concave-shaped data.
• Added the Customized Baseline Correction (custom_bc) method to pybaselines.optimizers, which allows fitting baselines with controllable levels of stiffness in different regions.
• Added a penalized version of mpls (pspline_mpls) to pybaselines.spline.
• Updated spline.mixture_model to use expectation-maximization rather than the previous nieve approach of fitting the histogram of the residuals with the probability density function. Should reduce calculation times.
• Added a function for penalized spline (P-spline) smoothing to pybaselines.utils, pybaselines.utils.pspline_smooth, which will return a tuple of the smoothed input and the knots, spline coefficients, and spline degree for any further use with SciPy's BSpline.

Other Changes

• Officially list Python 3.12 as supported.
• Updated lowest supported Python version to 3.8
• Updated lowest supported dependency versions: NumPy 1.20, SciPy 1.5, pentapy 1.1, and Numba 0.49
• Use SciPy's sparse arrays when the installed SciPy version is 1.12 or newer. This only affects user codes if using functions from the pybaselines.utils module.
• Vendor SciPy's cwt and ricker functions, which were deprecated from SciPy in version 1.12.

Deprecations/Breaking Changes

• Deprecated passing num_bins to spline.mixture_model. The keyword argument will be removed in version 1.3.
• Removed the pybaselines.config module, which was simply used to set the pentapy solver. The same behavior can be done by setting the pentapy_solver attribute of a Baseline object after initialization.

Documentation/Examples

• Added a section of the documentation explaining the extension of baseline correction for two dimensional data.
• Added new examples for 2D baseline correction and for custom_bc.