44d0dcaad2
re: https://github.com/Unidata/netcdf-c/issues/1584 Support has been added for multiple filters per variable. This affects a number of components in netcdf. The new APIs are documented in NUG/filters.md. The primary changes are: * A set of new functions are provided (see __include/netcdf_filter.h__). - Obtain a list of the filters associated with a variable - Obtain the parameters for a specific filter. * The existing __nc_inq_var_filter__ function now returns info about the first defined filter. * The utilities (ncgen, ncdump, and nccopy) now support an extended format for specifying a sequence of filters. The general form is __<filter>|<filter>..._. * The ncdump **_Filter** attribute now dumps a list of all the filters associated with a variable using the above new format. * Filter specifications can now use a filter name instead of number for filters known to the netcdf library, which in turn is taken from the HDF5 filter registration page. * New errors are defined: NC_EFILTER and NC_ENOFILTER. The latter is returned if an attempt is made to access an unknown filter. * Internally, the dispatch table has been extended to add a function to handle all of the filter functions. * New, filter-related, tests were added to nc_test4. * A new plugin was added to the plugins directory to help with testing. Notes: 1. The shuffle and fletcher32 filters are not part of the multifilter system. Misc. changes: 1. A debug module was added to libhdf5 to help catch error locations. |
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| README.md | ||
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Unidata NetCDF
About
The Unidata network Common Data Form (netCDF) is an interface for scientific data access and a freely-distributed software library that provides an implementation of the interface. The netCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data. The current netCDF software provides C interfaces for applications and data. Separate software distributions available from Unidata provide Java, Fortran, Python, and C++ interfaces. They have been tested on various common platforms.
Properties
NetCDF files are self-describing, network-transparent, directly
accessible, and extendible. Self-describing means that a netCDF file
includes information about the data it contains. Network-transparent
means that a netCDF file is represented in a form that can be accessed
by computers with different ways of storing integers, characters, and
floating-point numbers. Direct-access means that a small subset of a
large dataset may be accessed efficiently, without first reading through
all the preceding data. Extendible means that data can be appended to
a netCDF dataset without copying it or redefining its structure.
Use
NetCDF is useful for supporting access to diverse kinds of scientific data in heterogeneous networking environments and for writing application software that does not depend on application-specific formats. For information about a variety of analysis and display packages that have been developed to analyze and display data in netCDF form, see
More information
For more information about netCDF, see
Latest releases
You can obtain a copy of the latest released version of netCDF software for various languages:
Copyright
Copyright and licensing information can be found here, as well as in the COPYRIGHT file accompanying the software
Installation
To install the netCDF-C software, please see the file INSTALL in the netCDF-C distribution, or the (usually more up-to-date) document:
Documentation
A language-independent User's Guide for netCDF, and some other language-specific user-level documents are available from:
- Language-independent User's Guide
- NetCDF-C Tutorial
- Fortran-90 User's Guide
- Fortran-77 User's Guide
- netCDF-Java/Common Data Model library
- netCDF4-python
A mailing list, netcdfgroup@unidata.ucar.edu, exists for discussion of the netCDF interface and announcements about netCDF bugs, fixes, and enhancements. For information about how to subscribe, see the URL
Feedback
We appreciate feedback from users of this package. Please send comments, suggestions, and bug reports to support-netcdf@unidata.ucar.edu.