Comments on: matplotlib with wxPython GUIs

By: eliben

eliben — Sun, 14 Feb 2010 16:51:53 +0000

@Ben Han,

Sure thing! The code is in the public domain, so you may use it, with or without attribution.

By: Ben Han

Ben Han — Sun, 14 Feb 2010 12:05:03 +0000

Hi Eli,
Great example, helped me out a lot.
I’m currently working on an application to display a live plot of measured sEMG values for a biofeedback system to assist in the rehabilitation of patients with dysphagia (swallowing disorder).
Would be ok with you if I use your code (somewhat modified) to display the sEMG waveform? I will credit your name and website in the code if you say yes.

By: lechfeck

lechfeck — Tue, 12 Jan 2010 13:16:05 +0000

Excellent code, save me a lot of time. Thank you

By: SteT

SteT — Tue, 01 Dec 2009 15:54:29 +0000

Eli,

Excellent code that will help me no-end in my application.
What is the easiest way to get this to get this to display an incoming data stream via an np array?

By: eliben

eliben — Fri, 13 Nov 2009 05:34:20 +0000

@yogesh, DataGen is a simple object on which next is continuously called to get a new data point. All you need to plug in another is to re implement it and provide the next method. In you initialization read the input file and then just provide the next value from it on each call of next.

By: yogesh karpate

yogesh karpate — Thu, 12 Nov 2009 16:13:34 +0000

Dear Eliben,
I’m novice to matplotlib and python . I want to interface your program to my application which generates the ECG data in text format.I want do show it in dynamic/animated way as same u demonstrated in drawing a dynamic mpl (matplotlib) plot in a wxPython application.My query is if I have one text file conating all numerical data values known as ecg.txt conataining only one column.
How I can I put in following code snippet written by you
class DataGen(object):
“”" A silly class that generates pseudo-random data for
display in the plot.
“”"
def __init__(self, init=50):
self.data = self.init = init

def next(self):
self._recalc_data()
return self.data

def _recalc_data(self):
delta = random.uniform(-0.5, 0.5)
r = random.random()

if r > 0.9:
self.data += delta * 15
elif r > 0.8:
# attraction to the initial value
delta += (0.5 if self.init > self.data else -0.5)
self.data += delta
else:
self.data += delta

By: Paul

Paul — Wed, 29 Jul 2009 22:20:10 +0000

This is useful stuff. Thanks for sharing!

By: Matt

Matt — Wed, 29 Jul 2009 01:33:12 +0000

Very nice examples! Have you tried shrinking the window size though? For me the contents below the toolbar get merged with the canvas, not sure if it’s just my environment or not.

By: eliben

eliben — Tue, 28 Jul 2009 12:49:15 +0000

matplotlib is quite CPU-hungry. For more performant code consider using PyQwt (search my blog for some relevant code).

By: Henrique

Henrique — Mon, 27 Jul 2009 21:33:17 +0000

This examples are the best on internet! Thanks! But, do you know an method to use less CPU? I need to plot some data from a serial sensor but matpotlib uses a lot o CPU. Thanks Again!