v1.9.0

Released on: 2026/03/19

DOI: https://doi.org/10.5281/zenodo.19052803

Bug fixes:

• Fix compatibility issues with Pandas > 3.0 (#535)
• Make DummyEstimator a child of scikit-learn's BaseEstimator for compatibility with skelarn>=1.8.0 (#531)

New features:

• Add new function minmax to calculate min and max of arrays, optionally as user-specified percentiles of the values, which is useful for 1) if you want to plot a series of datasets with the same colorscale so you need to calculate the overall min/max for all the datasets 2) if you want to get robust colormap limits, excluding outliers by using percentiles, such as the 2nd and 98th percentiles (#526)
• Add percentile parameter to the maxabs function to be able to easily remove outliers when setting colorbar limits and other actions (#524)

Documentation:

• Minor wording, punctuation, and cross-referencing fixes to docs (#473)
• Add a link to the Fatiando Forum in the README (#480)

Maintenance:

• Fix examples and tests to pass with Numpy 2 (#459)
• Don't raise Numpy's precision in doctests (#463)
• Don't configure Numpy precision in doctests (#462)
• Fix upload of coverage reports to codecov (#520)
• Move push to codecov to its own job in Actions (#455)
• Replace build for python-build in environment.yml since the package was renamed in conda-forge (#460)
• Use python-build instead of build in test.yml workflow (#465)

This release contains contributions from:

• Gabriel G. R. de Lima
• Santiago Soler
• Matt Tankersley
• Leonardo Uieda