I've done this successfully with both the Qt4 and WX Agg backends. The part
you care about is the update method.
Here's the snippet I use for Qt. It shouldn't change except for your
imports at the top if you're using Wx. Note, I've trimmed this down a bit,
so hopefully I didn't trim out anything important:
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as
FigureCanvas
class PlotWidget(QWidget):
def __init__(self, parent):
QWidget.__init__(self, parent)
self.dpi=72
self.figure = Figure(dpi=self.dpi, linewidth=3)
self.canvas = FigureCanvas(self.figure)
self.canvas.setParent(self)
self.ax = self.figure.add_subplot(111)
(self.__times, self.__temps) = ([], [])
self.background = self.canvas.copy_from_bbox(self.ax.bbox)
self.plotting_line = self.ax.plot([], color='red', lw=2)[0]
def update(self, temp, secs):
try:
self.__times.append(secs)
self.__temps.append(temp)
self.canvas.restore_region(self.background)
self.plotting_line.set_xdata(self.__times)
self.plotting_line.set_ydata(self.__temps)
self.ax.draw_artist(self.plotting_line)
self.canvas.blit(self.ax.bbox)
except IndexError:
pass
self.canvas.draw()
On Fri, Mar 12, 2010 at 12:36 PM, Gökhan Sever <gokhanse...@gmail.com>wrote:
> Hello,
>
> I read a simple data stream from my computers serial port. I can nicely
> read the data using pyserial library but couldn't get it *nicely* working
> neither with WXAgg nor Qt4Agg using the following code. Although with WX I
> could get updated looks, the figure isn't very responsive in this way. I
> have looked at simple_idle_wx example but for some reason I can't make it
> work to update the canvas whenever the condition satisfied.
>
> What is the trick to make the real-time data plotted on the screen easily
> without blocking the figure itself?
>
> import serial
> import matplotlib.pyplot as plt
> plt.ion()
>
> ser = serial.Serial(0)
>
> conc = []
> while True:
> s = ser.readline()
> if s.startswith('CONC'):
> conc.append(float(s.split()[2]))
> plt.plot(conc)
> plt.show()
> plt.clf()
>
> ser.close()
>
> --
> Gökhan
>
>
> ------------------------------------------------------------------------------
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------------------------------------------------------------------------------
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Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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