Installation & usage¶

Installation¶

Ragavi is available on PYPI and can be installed via pip or from source.

To install via pip, type on your terminal

$ pip install ragavi

This is the recommended installation method and will install the latest release.

To install from source:

$ git clone https://github.com/ratt-ru/ragavi.git
$ cd ragavi
$ pip install .

To check whether installation was successful

$ ragavi-gains -h
$ ragavi-vis -h

This will bring up a help menu for ragavi-gains and ragavi-vis respectively.

For the gains plotter, the name-space ragavi-vis is used. To get help for this

Note

ragavi namespace will soon change to ragavi-vis

$ ragavi-gains -h

To use ragavi gain plotter

$ ragavi-gains -t /path/to/your/table

Multiple tables can be plotted on the same document simply by adding them in a space separated list to the -t / --table switch e.g

$ ragavi-gains -t delay/table/1/ bandpass/table/2 flux/table/3

For the visibility plotter, the name-space ragavi-vis is used. Help can be obtained by running

$ ragavi-vis -h

To run ragavi-vis, the arguments --table, --xaxis and --yaxis are basic requirements e.g.

$ ragavi-vis --ms /my/measurement/set --xaxis time --yaxis amplitude

For large datasets, it is advisable to supply at least --ymin and --ymax values to avoid an extra pass over the data.