Radio Astronomy Gain and Visibility Inspector
- This library mainly requires
- Install build dependencies:
Click for instructions on how to install python-casacore. Nodejs is a requirement for bokeh and can be installed using the commands
$ sudo apt-get install curl $ curl -sL https://deb.nodesource.com/setup_8.x | bash - $ apt-get install -y nodejs
All python requirements are found in requirements.txt
To install nodejs in the virtual environment, use: nodeenv, a nodejs virtual environment. More info can be found here
Create nodejs virtual environment with:
$ nodeenv envName
$ . envName/bin/activate
to switch to environment.
Installation from source, working directory where source is checked out
$ pip install .
This package is available on PYPI via
$ pip install ragavi
For ragavi help run
$ ragavi -h
To use ragavi
$ ragavi -t /path/to/your/table -g table_type (K / B/ F/ G/ D)
Multiple tables can be plotted on the same document simply by adding them in a space separated list to the -t / –table switch. They must however be accompanied by their respective gain table type in the -g switch. e.g
$ ragavi -t delay/table/1/ bandpass/table/2 flux/table/3 -g K B F
This project is licensed under the MIT License - see license for details.
Contributions are always welcome! Please ensure that you adhere to our coding standards pep8.
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|Filename, size & hash||File type||Python version||Upload date|
|ragavi-0.1.0.tar.gz (23.2 kB) View hashes||Source||None|