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POCreate dynamic updated graph with Python
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  1. POCreate dynamic updated graph with Python
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    copied!<p>I need your help to write a script in Python that will take dynamically changed data, the source of data is not matter here, and display graph on the screen.</p> <p>I know how to use matplotlib, but the problem with matplotlib, that I can display graph only once, at the end of the script. I need to be able not only to display graph one time, but also update it on the fly, each time when data changes.</p> <p>I found that it is possible to use wxPython with matplotlib to do this, but it is little bit complicate to do this for me, because i am not familiar with wxPython at all. </p> <p>So I will be very happy if someone will show me simple example how to use wxPython with matplotlib to show and update simple graph. Or, if it is some other way to do this, it will be good to me too.</p> <p>PS:<br> Ok, since no one answered and looked at matplotlib help noticed by @janislaw and wrote some code. This is some dummy example:</p> <pre><code> import time import matplotlib.pyplot as plt def data_gen(): a=data_gen.a if a>10: data_gen.a=1 data_gen.a=data_gen.a+1 return range (a,a+10) def run(*args): background = fig.canvas.copy_from_bbox(ax.bbox) while 1: time.sleep(0.1) # restore the clean slate background fig.canvas.restore_region(background) # update the data ydata = data_gen() xdata=range(len(ydata)) line.set_data(xdata, ydata) # just draw the animated artist ax.draw_artist(line) # just redraw the axes rectangle fig.canvas.blit(ax.bbox) data_gen.a=1 fig = plt.figure() ax = fig.add_subplot(111) line, = ax.plot([], [], animated=True) ax.set_ylim(0, 20) ax.set_xlim(0, 10) ax.grid() manager = plt.get_current_fig_manager() manager.window.after(100, run) plt.show() </code></pre> <p>This implementation have problems, like script stops if you trying to move the window. But basically it can be used.</p>
 

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