The easy as duck 🦆 netcdf converter to ASCII, JPEG and more...
The easy as duck duck netcdf converter to ASCII, JPEG and more...
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Netcdfella is a command line interface (cli) tool for converting netcdf files to ASCII and JPG/PNG format, as well as creating graphs based on the vectors of the file.
Netcdfella supports two ways for converting documents at the time being:
During the run of the cli the output types, the mapping dimension and variable can be selected aling with other options.
You can convert a single file or all netcdf files in a directory on your command. This is the case of the single/multi select.
A directory can be selected to be watched by netcdfella. WHen a new netcdf file is created in that directory, it is automatically converted in the selected formats.
In order to handle any amount of input documents in the case of watch. A producer-consumer queue is created in the module qnotify using the inotify library. In this case the producers are the directory events. This creates a buffer that can handle the set amount of concurrent document creations.
Use the README.md
to get started.
This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This software and tested for Python version 3.10.4.
If you need to manually install packages:
apt install libgeos-dev
pip install -r requirements.txt
If you wish to make use of the pyproject.toml you need to install poetry:
curl -sSL https://install.python-poetry.org | python3 -
You can install from source or from pypi
Use PYPI to pip install the project:
sh
pip install netcdfella
git clone https://github.com/nikfot/netcdfella.git
poetry install
netcdfella
to see the help with available choices:
netcdfella
or
netcdfella --help
You can use the netcdfella to get a better description of the available choices:
sh
netcdfella
or
sh
netcdfella --help
Use netcdfella to convert a single document or all documents in a directory:
sh
netcdfella convert "/path/to/documents" -k "ascii,graph,scatter,marks" -md "flashes" -mv "radiance"
All choices for convert subcommand: Options: -o, –output-dir TEXT set the output directory for converted files. -k, –output-kinds TEXT set the output kind for conversion. -md, –map-dimension TEXT set the dimenion to use for mapping. -mv, –map-variable TEXT set the variable to use for mapping. -e, –exclude-variables TEXT comma separated list of variables to be excluded from conversion. –help Show this message and exit.
Use netcdfella to watch over a directory and convert files upon creation:
sh
netcdfella watch "/path/to/documents" -k "ascii,graph,scatter,marks" -md "flashes" -mv "radiance"
Options: -o, –output-dir TEXT set the output directory for converted files. -k, –output-kinds TEXT set the output kind for conversion. -md, –map-dimension TEXT set the dimenion to use for mapping. -mv, –map-variable TEXT set the variable to use for mapping. -e, –exclude-variables TEXT comma separated list of variables to be excluded from conversion. –help Show this message and exit.
There are still a lot to be done, so if you find the project usefull please contribute you comments, ideas and code. It is greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag “enhancement”. Don’t forget to give the project a star! Thanks again!
git checkout -b feature/AmazingFeature
)git commit -m 'Add some AmazingFeature'
)git push origin feature/AmazingFeature
)Distributed under the GPL License. See LICENSE.md
for more information.
Nikos Fotiou - @workaround18 - nik_fot@hotmail.gr
Netcdfella: https://github.com/nikfot/netcdfella
This tool is created as part of my postgrad studies “Space Technologies Applications and Services - STAR” programm at the National and Kapodestrian University of Athens Greece (NKUA). It was a semester project for the class “Space Image Processing” by professor Stavros Kolios.