If you go this route, set USE_NCCONFIG and USE_SETUPCFG to 0, and specify
To disable the use of setup.cfg, set USE_SETUPCFG to 0.Īs a last resort, the library and include paths can be set via environment variables. To disable the use of nc-config, set the env var USE_NCCONFIG to 0. In a text editor and follow the instructions in the comments. You can also use the file setup.cfg to set the path to nc-config, orĮnter the paths to the libraries and include files manually. If nc-config is not in your default PATH, you can set the NETCDF4_DIRĮnvironment variable and setup.py will look in $NETCDF4_DIR/bin.Will be run used to determine where all the dependencies live. By default, the utility nc-config (installed with netcdf-c).Parallel IO further depends on the existence of MPI-enabled HDF5 or the Make sure the dependencies are satisfied (Python 3.6 or later,įor MPI parallel IO support, an MPI-enabled versions of the netcdf library.
#Python create windows grid from arrays install#
(or if you use the conda package manager conda install -c conda-forge netCDF4). the easiest way to get going is to install via pip install netCDF4.Mixtures of compound, vlen and enum data types (such asĬompound types containing enums, or vlens containing compound Compound (struct), variable length (vlen) andĮnumerated (enum) data types are supported, but not the opaque data type.
Numeric data types (such as 64 bit and unsigned integer types) are Unlimited dimensions, groups and data compression. Most new features of netCDF 4 are implemented, such as multiple The API modelled afterĪnd should be familiar to users of that module. Not found in earlier versions of the library and is implemented on top ofįiles in both the new netCDF 4 and the old netCDF 3 format, and can createįiles that are readable by HDF5 clients. Netcdf4-python is a Python interface to the netCDF C library.
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