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r1792:800f91ef3d84
update jroplot_base.py
avaldez
isr
0
r1791:e4984c469c9f
fix line 461 y 665
avaldez
0
r1790:f455e29986ba
borramos la linea self.interval no se utilizaba y generaba error
avaldez
0
r1789:2739006ee497
Added ToLilBlock class from Roberto
Christianpl
isr_v2
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r1788:c7146b87b3fa
manual header update
Christianpl
0
r1787:06ef6157f99b
update extrapoints spectraplot
avaldez
0
r1786:ad62c3fdbfa5
update extrapoints spectraplot
avaldez
0
r1785:6f1a660b8ab2
ax.plt.remove(), se añaden 3 lineas de codigo
avaldez
0
r1784:57448bf73d50
update uniquechannel
avaldez
0
r1783:14f11b916f42
fix TxLagRate, add RemoveDC mode, update HDFWriter
Christianpl
0
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Signal Chain

Signal Chain is a radar data processing library wich includes modules to read, and write different files formats, besides modules to process and visualize the data.

Dependencies

  • GCC (gcc or gfortran)
  • Python.h (python-dev or python-devel)
  • Python-TK (python-tk)
  • HDF5 libraries (libhdf5-dev)

Installation

To get started the easiest way to install it is through PyPI with pip. We strongly recommend to use an virtual environment like virtualenv or anaconda.

pip install schainpy

From source

First, ensure that you have the above-listed dependencies installed, then clone the repository and install as normal python package:

git clone https://github.com/JRO-Peru/schainpy.git
cd schain
git checkout `branch-name` (optional)
sudo pip install ./

Using Docker

Download Dockerfile from the repository, and create a docker image:

docker build -t schain .

You can run a container using an xml file or a schain script also you need to mount a volume for the data input and for the output files/plots:

docker run -it --rm --volume /path/to/host/data:/data schain xml /data/test.xml
docker run -it --rm --volume /path/to/host/data:/data --entrypoint /urs/local/bin/python schain /data/test.py

CLI (command line interface)

Signal Chain provides the following commands:

  • schainGUI: Open the GUI
  • schain: Signal chain command line

Example

Here you can find an script to read Spectra data (.pdata), remove dc and plot self-spectra & RTI:

#!/usr/bin/python

from schainpy.controller import Project

prj = Project()

read_unit = prj.addReadUnit(
    datatype='Spectra',
    path='/path/to/pdata/',
    startDate='2014/01/31',
    endDate='2014/03/31',
    startTime='00:00:00',
    endTime='23:59:59',
    online=0,
    walk=0
    )

proc_unit = prj.addProcUnit(
    datatype='Spectra',
    inputId=read_unit.getId()
    )

op = proc_unit.addOperation(name='selectChannels')
op.addParameter(name='channelList', value='0,1')

op = proc_unit.addOperation(name='selectHeights')
op.addParameter(name='minHei', value='80')
op.addParameter(name='maxHei', value='200')

op = proc_unit.addOperation(name='removeDC')

op = proc_unit.addOperation(name='SpectraPlot')
op.addParameter(name='wintitle', value='Spectra', format='str')

op = proc_unit.addOperation(name='RTIPlot')
op.addParameter(name='wintitle', value='RTI', format='str')

prj.start()