https://github.com/bcdev/nc2zarr - 1.2.4

• If input/multi_file is specified, concat_dim is now optional: If concat_dim is given, the multi-file combination method is "nested", otherwise "by_coords", which was the former default. (See xarray.open_mfdatset().)

• Fixed ignored output/append_dim setting. (#54)

• Fixed broken unit level test test_multi_file_with_defaults (#52)

• Update some unit tests for compatibility with current xarray and Zarr versions.

- Python
Published by pont-us over 1 year ago

https://github.com/bcdev/nc2zarr - 1.2.3

• Handle consolidated Zarrs correctly when appending data (fixes #47).

• Add configurations for SSTMEDSSTL4NRTOBSERVATIONS010_004

• Update LWQ300 configuration

• Improve validation script

- Python
Published by pont-us almost 5 years ago

https://github.com/bcdev/nc2zarr - 1.2.2

• Fix incorrect version number.

- Python
Published by pont-us about 5 years ago

https://github.com/bcdev/nc2zarr - 1.2.1

• Fix an occasionally failing test and update an example configuration.

- Python
Published by pont-us about 5 years ago

https://github.com/bcdev/nc2zarr - 1.2.0

• Introduce the new parameter output.append_mode to select behaviour when appending new data which overlaps in the append dimension with the existing data.

• Adjusted the built-in pre-processing to handle more cases: Bounds dimensions of concatenation coordinates are extended by their dimension and transformed to variables if necessary.

• Whether to adjust output metadata (global attributes) after the last write/append can now be forced by the new output.adjust_metadata setting whose default is false. If set to true, this will adjust the following metadata attributes:

  • "history"
  • "source"
  • "timecoveragestart"
  • "timecoverageend"

In addition, extra metadata (global attributes) can now be added after the last write/append using the new setting output.metadata whose value is a mapping from attribute names to values.

The above functionality is also reflected in two new CLI options --adjust-metadata and --finalize-only. In combination, they can be used to later adjust metadata in already existing Zarr datasets. (#20, #34)

• Fixed a problem that avoided appending datasets that contained variables with dtype = "|S1" (ESA SST CCI). Such variables are written initially, but then no longer appended at all given that they do not contain the dimension along we append. Otherwise nc2zarr will still fail. (#38)

• Fixed a severe problem where data was "encoded" twice before being appended to existing data. The bug became apparent with input.decode_cf = false (the default) and for variables that defined a scale_factor and/or add_offset encoding attribute. (#35)

• Added a CLI tool nc2zarr-batch.

• Add and update some sample configurations and scripts.

- Python
Published by pont-us about 5 years ago

https://github.com/bcdev/nc2zarr - 1.1.1

• Fix an incompatibility with version 8 of the click library which was causing command-line parsing errors.

- Python
Published by pont-us about 5 years ago

https://github.com/bcdev/nc2zarr - 1.1.0

• Ensure attributes are maintained when missing dimensions are added to concatenation dimension variable. (#32)

• Added some basic batch utilities that help spawning multiple concurrent nc2zarr jobs, see new module nc2zarr.batch. (#19)

• Local input and output paths may now include tilde '~' which will expand to the current user's home, and '~username' for the home directory of a specified user. (#26)

• Fixed a problem when input/sort_by was "name" and one of input/paths ended with "/". In these cases sorting did not work. (#29)

• Fixed problem where appending unnecessarily required a coordinate variable (#27)

• Input path that were no wildcards have been ignored if the input path did not exist. Now an error is raised in such cases. (#25)

• Fixed exception TypeError: 'int' object is not iterable raised with some process/rechunk configurations. (#23)

• You can now provide your Python code for customization of the datasets read and written. (#16)

  • input/custom_preprocessor: "module:function" is called on each input after optional variable selection.
  • process/custom_processor: "module:function" is called after optional renaming and before optional rechunking.
  • output/custom_postprocessor: "module:function" is called before the final dataset is written. (#21)

All three functions are expected to receive an xarray.Dataset object as only argument and return the same or modified xarray.Dataset object. Note: to let Python import "module" that is not a user package, you can extend the PYTHONPATH environment variable before calling nc2zarr: export PYTHONPATH=${PYTHONPATH}:path/to/my/modules nc2zarr ...

• Add more example configurations and scripts.

- Python
Published by pont-us about 5 years ago

https://github.com/bcdev/nc2zarr - 1.0.0

• Fixed some issues with Zarr (re-)chunking given by process parameter process/rechunk:

  • Fix: New chunking can now overlap multiple chunks in input (Dask chunks). (#12)
  • Introduced new chunk size value "input" which forces using chunk sizes from input. (#12)
  • Fixed problems that occurred when using the process/rechunk configuration
  • if a dimension was not configured at all;
  • if the dataset contained 0-dimension variables, which is typical for variables used to describe the spatial reference system, e.g. crs.

  In these cases the error message from Zarr was AssertionError: We should never get here.". (#14)

• Introduced new input parameter prefetch_chunks. (#10)

• Add an AppVeyor CI configuration file.

• Add the --sort-by command-line option.

• Add example configuration files for the following datasets:

  • C_GLS_LWQ300_GLOBE_OLCI_V1
  • OCEANCOLOUR_BAL_CHL_L3_NRT_OBSERVATIONS_009_049
  • OCEANCOLOUR_BS_CHL_L4_NRT_OBSERVATIONS_009_045
  • OCEANCOLOUR_MED_CHL_L4_NRT_OBSERVATIONS_009_041

• Add demo Jupyter notebooks which open and plot converted data from object storage.

- Python
Published by pont-us over 5 years ago

https://github.com/bcdev/nc2zarr - 0.1.0

Initial version.

- Python
Published by forman over 5 years ago