What's new in NetCDF 0.9.7
Aug 18, 2011
- Printing of Variable, Group and Dataset objects now provides useful ncdump-like information.
New in NetCDF 0.9.6 (Jul 21, 2011)
- Bugfixes - default unicode encoding changed from ascii to latin-1.
New in NetCDF 4.0.9.2 (Sep 2, 2010)
- fix netcdftime bug with '360_day' calendar. Fixes issue 59.
- make sure scalar slice of 1d variable returns array scalar (not array of
- shape (1,)). Fixes issue 57.
- updated date parser in netcdftime. Can now handle units like
- "seconds since 1970-01-01T00:00:00Z".
- added support in setup.py for specifying the locations of the HDF5/netcdf-4 headers and libs separately with environment variables (HDF5_INCDIR, HDF5_LIBDIR).i
- Patch contributed by Patrice Dumas.
- add masked array support to num2date (dates for missing times set to None).
- add chunk_cache keyword to createVariable. HDF5 default is 1mb, which can
- cause problems when creating 1000's of variables. In such cases,
- chunk_cache can be reduced, or set to zero.
- add set_var_chunk_cache and get_var_chunk_cache Variable methods.
- raise AttributeError when trying to set _FillValue attribute (it can only
- be reliably set on variable creation, using the fill_value keyword to
- createVariable).
New in NetCDF 4.0 (Nov 12, 2008)
- Features of the netCDF-4 data model include:
- · Multiple unlimited dimensions
- · String type
- · Additional numeric types
- · Groups for nested scopes
- · User-defined compound types (portable structs)
- · User-defined variable-length types for ragged arrays
- · User-defined enumeration types for compact self-description
- Performance benefits of the HDF5-based netCDF-4 format include:
- · Per-variable compression
- · Per-variable multidimensional tiling (chunking)
- · Ample variable sizes
- · Efficient dynamic schema changes
- · Parallel I/O
- · Reader-Makes-Right conversion