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