A package for transforming a NetCDF dataset into a defined format suitable for publication according to a defined publication standard.

Send questions and comments to Kevin Paul ([email protected]) or Sheri Mickelson ([email protected]).

The PyConform package is a Python-based package for ...

The PyConform package directly depends upon ...

The major dependencies are known to be:

• ASAPTools (>=0.6)
• netCDF4-python

These dependencies imply the dependencies:

• numpy (>=1.5)
• netCDF4
• MPI

Additionally, the entire package is designed to work with Python v2.7 and up to (but not including) Python v3.0.

The version requirements have not been rigidly tested, so earlier versions may actually work. No version requirement is made during installation, though, so problems might occur if an earlier versions of these packages have been installed.

Currently, the most up-to-date development source code is available via git from the site:

https://github.com/NCAR/PyConform

Check out the most recent stable tag. The source is available in read-only mode to everyone. Developers are welcome to update the source and submit Pull Requests via GitHub.

Installation of the PyConform package is very simple. After checking out the source from the above svn link, via:

$ git clone https://github.com/NCAR/PyConform

Enter the newly cloned directory:

$ cd PyConform

Then, run the Python setuptools setup script. On unix, this involves:

$  python setup.py install [--prefix=/path/to/install/location]

The prefix is optional, as the default prefix is typically /usr/local on linux machines. However, you must have permissions to write to the prefix location, so you may want to choose a prefix location where you have write permissions. Like most distutils installations, you can alternatively install the PyReshaper with the '--user' option, which will automatically select (and create if it does not exist) the $HOME/.local directory in which to install. To do this, type (on unix machines):

$  python setup.py install --user

This can be handy since the site-packages directory will be common for all user installs, and therefore only needs to be added to the PYTHONPATH once.

To install the documentation, you must have Sphinx installed on your system. Sphinx can be easily installed with pip, via:

$  pip install Sphinx

Once Sphinx is installed, you can build the PyReshaper HTML documentation with:

$  cd docs
$  make html

The resulting HTML documentation will be placed in the docs/build/html directory, and the main page can be loaded with any browser pointing to 'docs/build/html/index.html'.

Before the PyConform package can be used, you must make sure that the site-packages directory containing the 'pyconform' source directory is in your PYTHONPATH. Depending on the PREFIX used during installation, this path should look like be:

$PREFIX/lib/python2.7/site-packages

depending on the version of Python that you are using to install the package.

To use the PyConform scripts (e.g., ...), you must add the script binary directory to your PATH. Depending on the PREFIX used during installation, this path will be:

$PREFIX/bin/

Once the script binary directory has been added to your PATH and the site-packages directory has been added to your PYTHONPATH, you may use the PyConform package without issue.

Please see the more detailed instructions found in the docs/ directory for usage and examples. See the 'Building & Installing from Source' section for how to build the documentation with Sphinx.