v1.3.3 'Pure Pink'

[MuellerSeb]

Release Notes

This release comes with a new storage framework for all Field classes and a better transform sub-module.

Installation

You can install GSTools with conda:

conda install -c conda-forge gstools

or with pip:

pip install gstools

Documentation

The documentation can be found at: https://gstools.readthedocs.io/

What's new?

Enhancements

See: #197

• gstools.transform:
  • add keywords field, store, process and keep_mean to all transformations to control storage and respect normalizer
  • added apply_function transformation
  • added apply as wrapper for all transformations
  • added transform method to all Field (sub)classes as interface to transform.apply
  • added checks for normal fields to work smoothly with recently added normalizer submodule
• Field:
  • allow naming fields when generating and control storage with store keyword
  • all subclasses now have the post_process keyword (apply mean, normalizer, trend)
  • added subscription to access fields by name (Field["field"])
  • added set_pos method to set position tuple
  • allow reusing present pos tuple
  • added pos, mesh_type, field_names, field_shape, all_fields properties
• CondSRF:
  • memory optimization by forwarding pos from underlying krige instance
  • only recalculate kriging field if pos tuple changed (optimized ensemble generation)
• performance improvement by using np.asarray instead of np.array where possible
• updated examples to use new features
• added incomplete lower gamma function inc_gamma_low (for TPLGaussian spectral density)
• filter nan values from cond_val array in all kriging routines #201

Bugfixes

• inc_gamma was defined wrong for integer s < 0

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This discussion was created from the release v1.3.3 'Pure Pink'.