Changelog¶
Version 1.1.0¶
Released on: 2018/11/06
New features:
- New
verde.grid_to_table
function that converts grids to xyz tables with the coordinate and data values for each grid point (#148) - Add an
extra_coords
option to coordinate generators (grid_coordinates
,scatter_points
, andprofile_coordinates
) to specify a constant value to be used as an extra coordinate (#145) - Allow gridders to pass extra keyword arguments (
**kwargs
) for the coordinate generator functions (#144)
Improvements:
- Don’t use the Jacobian matrix for predictions to avoid memory overloads. Use dedicated and numba wrapped functions instead. As a consequence, predictions are also a bit faster when numba is installed (#149)
- Set the default
n_splits=5
when usingKFold
from scikit-learn (#143)
Bug fixes:
- Use the xarray grid’s pcolormesh method instead of matplotlib to plot grids in the examples. The xarray method takes care of shifting the pixels by half a spacing when grids are not pixel registered (#151)
New contributors to the project:
- Jesse Pisel
Version 1.0.0¶
Released on: 2018/09/13
- First release of Verde. Establishes the gridder API and includes blocked reductions, bi-harmonic splines [Sandwell1987], coupled 2D interpolation [SandwellWessel2016], chaining operations to form a pipeline, and more.