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POModifying filled area in matplotlib
 

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  1. POModifying filled area in matplotlib
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    <p>I've an interactive figure on which plot is drawn incrementally, one chunk at time.</p> <p>That is, in a loop I get some sampling data, then I add them to existing curves in the plot and redraw the picture. For this, I'm using get/set_x/ydata functions. Something on this line:</p> <pre><code># Get initial data time = [1, 2, 3, 4, 5] samples = [0.1, 0.2, 0.3, 0.4, 0.5] c = plot_curve(time, samples) # Get new data time2 = [6, 7, 8] samp2 = [0.6, 0.7, 0.8] c.set_xdata(append(c.get_xdata(), time2)) c.set_ydata(append(c.get_ydata(), samp2)) </code></pre> <p>Problem is, I'm also filling some area near the curve (e.g. the space between the curve and the x axis), using fill_between. Currently, I'm creating lots of small chunks in this way:</p> <pre><code># Filling initial chunk fill_between(time, samples, [0 for i in time]) # Filling next chunk fill_between(time[-1] + time2, samples[-1] + samp2, [0 for i in time2] + [0]) </code></pre> <p>(I know this code stinks, but it's for giving an idea).</p> <p>So, problem is: there is one curve, but filled areas are 2 (one for each data chunk). This creates small artifacts in the drawing, because each filled area is very near to the next one, with a very little space among them.</p> <p>Is there a way to do this kind of incremental work also on the filling area?</p> <p>For example, could be nice to keep 2 curves (one equal to c.get_ydata() and one of zeros) and having matplotlib to automatically fill the area between them, without having to call the command explicitly - so that the filled area would always be up-to-date with the sampling points.</p> <p>Or, another nice way, would be to represent the filled area using the sampling points, instead of a polygon, so that I could update the area with method similar to get/set_x/ydata.</p>
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    1. USAkiRoss
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    1. CODid you get this sorted out?
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      1. UStacaswell
    2. COUnluckily not...
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      1. POModifying filled area in matplotlib
      1. USAkiRoss
    3. COI suggest sending an email to the mailing list or create and issue on github.
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      1. UStacaswell
 

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