What’s New

v0.2.2 (2018-07-24)

  • Fixed segmentation faults in to_csv()
  • Added conda-forge travis build
  • Blacklisted dask-0.18.2 because of regression in argtopk(split_every=2)

v0.2.1 (2018-07-22)

  • Added parameter nogil=True to to_csv(), which will switch to a C-accelerated implementation instead of pandas to_csv (albeit with caveats). Fixed deadlock in to_csv as well as compatibility with dask distributed. Pandas code (when using nogil=False) is not wrapped by a subprocess anymore, which means it won’t be able to use more than 1 CPU (but compression can run in pipeline). to_csv has lost the ability to write to a buffer - only file paths are supported now.
  • AppVeyor integration

v0.2.0 (2018-07-15)

  • New function xarray_extras.csv.to_csv()
  • Speed up interpolation for k=2 and k=3
  • CI: Rigorous tracking of minimum dependency versions
  • CI: Explicit support for Python 3.7

v0.1.0 (2018-05-19)

Initial release.