netCDF4 Python

Integrating an API that should feel familiar to Scientific.IO.NETCDF module users, netCDF4 Python is a software utility that comes with a rich set of features.

Serving a very specific purpose, namely that of being a Python interface to the netCDF C library, its abilities cover unlimited dimensions, zlib data compression, and groups, aside from being able to handle all numeric data types.

Creating, opening and closing files should be a hassle-free task if you turn to netCDF4 Python, and handling groups, dimensions, variables, attributes, as well as time coordinates requires little effort as well. Aside from that, it should be mentioned that retrieving or writing data to a netCDF variable is possible, and reading it from a multi-file dataset is an option.

What’s more, it should be pointed out that the enumerated data type is supported along with compound and variable length. Nevertheless, there is no option to work with the opaque data type.

In order to start enjoying netCDF4 Python’s capabilities, you must ensure that Cython, numpy, and at least Python 2.7 are installed on your system along with HDF5 and netcdf-4. If you need detailed instructions, however, a series of tutorials and comprehensive documentation are provided by the developer.