If you intend to create plots/graphs with Python, your first choice may be Matplotlib. Don't use it unless your plots are extremely simple and isn't expected to grow more demanding with time. I used Matplotlib for realtime graph plotting for a really tiny graph and it was disappointingly slow. Moreover, it required installation of Python 3.6, which wasn't available readily for Ubuntu 16, and caused even more problems.
Then I came across PyQtGraph, and was impressed by the super-fast plotting speed and the mind-blowingly impressive variety of graphing functionalities. Really. You gotta see this.
Install it using: pip install pyqtgraph
Run the examples with: python3 -m pyqtgraph.examples
And prepare to be impressed!!!
I've come to understand that the rendering is quick because the underlying code is in C/C++ and the Python bindings are merely meant for invoking that code.
Still, even though the graphs are very impressive, the non-linearity of the code examples and the lack of code comments make it really hard for a newbie to understand how to get a basic graph running.
Here's where I help. After spending an extraordinarily long time figuring it out on my own, I've created a simple, basic example with which you can create a realtime graph. Hope it helps...
import time
import random
import pyqtgraph as pg
from collections import deque
from pyqtgraph.Qt import QtGui, QtCore
class Graph:
def __init__(self, ):
self.dat = deque()
self.maxLen = 50#max number of data points to show on graph
self.app = QtGui.QApplication([])
self.win = pg.GraphicsWindow()
self.p1 = self.win.addPlot(colspan=2)
self.win.nextRow()
self.p2 = self.win.addPlot(colspan=2)
self.win.nextRow()
self.p3 = self.win.addPlot(colspan=2)
self.curve1 = self.p1.plot()
self.curve2 = self.p2.plot()
self.curve3 = self.p3.plot()
graphUpdateSpeedMs = 50
timer = QtCore.QTimer()#to create a thread that calls a function at intervals
timer.timeout.connect(self.update)#the update function keeps getting called at intervals
timer.start(graphUpdateSpeedMs)
QtGui.QApplication.instance().exec_()
def update(self):
if len(self.dat) > self.maxLen:
self.dat.popleft() #remove oldest
self.dat.append(random.randint(0,100));
self.curve1.setData(self.dat)
self.curve2.setData(self.dat)
self.curve3.setData(self.dat)
self.app.processEvents()
if __name__ == '__main__':
g = Graph()
Then I came across PyQtGraph, and was impressed by the super-fast plotting speed and the mind-blowingly impressive variety of graphing functionalities. Really. You gotta see this.
Install it using: pip install pyqtgraph
Run the examples with: python3 -m pyqtgraph.examples
And prepare to be impressed!!!
I've come to understand that the rendering is quick because the underlying code is in C/C++ and the Python bindings are merely meant for invoking that code.
Still, even though the graphs are very impressive, the non-linearity of the code examples and the lack of code comments make it really hard for a newbie to understand how to get a basic graph running.
Here's where I help. After spending an extraordinarily long time figuring it out on my own, I've created a simple, basic example with which you can create a realtime graph. Hope it helps...
import time
import random
import pyqtgraph as pg
from collections import deque
from pyqtgraph.Qt import QtGui, QtCore
class Graph:
def __init__(self, ):
self.dat = deque()
self.maxLen = 50#max number of data points to show on graph
self.app = QtGui.QApplication([])
self.win = pg.GraphicsWindow()
self.p1 = self.win.addPlot(colspan=2)
self.win.nextRow()
self.p2 = self.win.addPlot(colspan=2)
self.win.nextRow()
self.p3 = self.win.addPlot(colspan=2)
self.curve1 = self.p1.plot()
self.curve2 = self.p2.plot()
self.curve3 = self.p3.plot()
graphUpdateSpeedMs = 50
timer = QtCore.QTimer()#to create a thread that calls a function at intervals
timer.timeout.connect(self.update)#the update function keeps getting called at intervals
timer.start(graphUpdateSpeedMs)
QtGui.QApplication.instance().exec_()
def update(self):
if len(self.dat) > self.maxLen:
self.dat.popleft() #remove oldest
self.dat.append(random.randint(0,100));
self.curve1.setData(self.dat)
self.curve2.setData(self.dat)
self.curve3.setData(self.dat)
self.app.processEvents()
if __name__ == '__main__':
g = Graph()
________________________________
The fact that you are here means that you use the computer a lot. So please also take some time to understand the real cure for eye strain. Yes, it matters.
