This package provides a library to access the Red Pitaya registers. This library consist of a C library (libmonitor.c) and a ctypes interface on the Python side.
An object oriented interface to the different application (scope, generator, PID, AMS, ...) is provided. This interface is implemented using Python properties (see usage below) and can quickly be extended to your own application.
An rpyc server is used in order to communicate with your computer. The interface is the same on the computer as the one on the board.
The process to install PyRedPitaya on the board requires the installation of Python first. See this link.
To install PyRedPitaya on the computer download the package and run the command:
python setup.py install
or use easy_install:
easy_install PyRedPitaya
You need to have Python installed on you Red Pitaya.
Logging onto the redpitaya using ssh, one can start the ipython shell and run :
from PyRedPitaya.board import RedPitaya redpitaya = RedPitaya() print redpitaya.ams.temp # Read property redpitaya.hk.led = 0b10101010 # Write property
You need to install the PyRedPitaya package on your PC as well as Rpyc:
rpyc_server
On the computer (replace REDPITAYA_IP by the string containing the IP address) :
from rpyc import connect from PyRedPitaya.pc import RedPitaya conn = connect(REDPITAYA_IP, port=18861) redpitaya = RedPitaya(conn) print redpitaya.read(0x40000000) # Direct access print redpitaya.ams.temp # Read property redpitaya.hk.led = 0b10101010 # Write property from time import sleep from pylab import * redpitaya.scope.setup(frequency = 100, trigger_source=1) sleep(100E-3) plot(redpitaya.scope.times, redpitaya.scope.data_ch1) show()