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.