Changelog¶
Version 0.2.2¶
- Change numpy.num2date behavior to return datetime.datetime
Version 0.2.1¶
- Force date type conversion to numpy.datetime64
- Update copyright date
Version 0.2.0¶
- Package no longer Python 2.7 compatible
- Update pyscaffold v3.2.3
- Remove build_script and changes.md
- Update environment.yml
- Package name changed from pynetCF to pynetcf
- Updating travis settings
Version 0.1.19¶
- Update readme.
- Remove unnecessary dimensions while reading point data.
- Pin squinx version to fix rtd
- Update netcdf4 requirement to v1.4.2
Version 0.1.18¶
- Update installation to pyscaffold 2.5.x to fix https://github.com/blue-yonder/pyscaffold/issues/148
- Restrict netcdf4 package to versions <=1.2.8 because of https://github.com/Unidata/netcdf4-python/issues/784
Version 0.1.17¶
- Allow writing and reading of PointData in append mode.
- Set default filenames for GriddedPointData to include .nc ending.
Version 0.1.16¶
- Translate RuntimeError of older versions of the netCDF4 library to IOError.
- Avoid race conditions when creating directories for new files.
Version 0.1.15¶
- Fix bug that lost the datatype during writing of timeseries with pandas > 0.17.1
- Fix Python 3 compability.
Version 0.1.14¶
- fix bug that read the wrong timeseries if a non existing location id was given.
- fix bug when reading not completely filled files in read_bulk mode in contigous ragged.
Version 0.1.13¶
- Catch RuntimeError and IOError to be compatible with older netCDF4 versions.
- Fix compression of variables in point_data.
Version 0.1.12¶
- IndexedRaggedTs are now compatible with numpy record arrays and dictionaries.
Version 0.1.11¶
- IndexedRaggedTs.write_ts can now write data for multiple grid points at once.
- Add interface to write a complete cell to GriddedNcIndexedRaggedTs
Version 0.1.10¶
- No changes in functionality
- Fix setup.py for correct installation
Version 0.1.9¶
- Fix n_loc bug
- Add recarray for point data
- Excluding pandas==0.19.0
Version 0.1.8¶
- Deprecate pynetcf.time_series.GriddedTs please use pynetcf.time_series.GriddedNcTs in the future. Be aware that the __init__ arguments have changed slightly to path, grid, ioclass.
Version 0.1.7¶
- Add support of read/write netCDF point data following CF conventions
- Add support for disabling automatic masking during reading. Useful if the data has fill values but needs to be scaled to a datatype that does not support NaN values.
Version 0.1.6¶
- Add support for disabling automatic scaling in base netCDF4 library.
- Add support for dtype conversion before scaling and offset.
Version 0.1.5¶
- Add classes for gridded datasets based on pygeobase
- improve test coverage
- make compatible with newest netCDF4 releases
- support read_bulk keyword for all dataset types
Version 0.1.4¶
- fix open/closing of netCDF file
Version 0.1.2¶
- fixed issue #9
Version 0.1.3¶
- fixed issue #10
Version 0.1.1¶
- fixed issue #4
Version 0.1¶
- moved netcdf classes out of rs data readers