v0.13

• PynetCF time series type (OrthoMultiTs or IndexedRaggedTs) are now stored in the global timeSeries_format attribute.
• time_coverage_end global attribute added to each time series file, this is updated when appending data to an existing file.
• Some utility function were added that are often required in our conversion packages

Full Changelog: v0.12...v0.13

v0.12

• Updates to repurpose (img2ts) for performant conversion (for non-orthogonal
• img2ts logging was
• The method for parallelization was updated to allow different
• A check was implemented to repeatedly try to append to a (temporarily) unavailable
• Input grid for img2ts is now used from the input dataset if not specified by the user. This allows e.g. conversion of swath data.

Full Changelog: v0.11...v0.12

v0.11

• Parallel img2ts in #21
• Fix logging issue in #22
• Update img2ts.py in #23
• Add postprocess option to ts2img in #24
• Joblib for parallelisation in #25
• Fix warnings in #26

Full Changelog: v0.10...v0.11

v0.10

Ts2Img module was rebuilt. Allows conversion of time series with NN lookup.

Added example notebook for converting ASCAT time series into regularly gridded images.

Added a simple parallelization framework, with logging and error handling.

Added the option to pass custom pre- and post-processing functions to ts2img.

v0.9

Update for new pyscaffold
Fixed bug where resampling failed when a BasicGrid was passed instead of a CellGrid

v0.8

• Update pyscaffold package structure (pyscaffold 3)
• Drop py2 support
• Add pypi deployment to travis.

v0.7.1

• Fix bug in readme that prevents upload to pypi

v0.7

• Add spatial resampling module (previously in pytesmo)

v0.5

• Update readme
• Update pyscaffold version in setup.py because of compatibility issues with setuptools 39

v0.4

• Enable compression by default