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    <div class="moz-cite-prefix">Hi Adam,<br>
      <br>
      the rqt GUI has a 2D plotter rqt_plot that can plot numerical data
      from messages.<br>
      It is very similar to rxplot, but there is no restriction (as far
      as I know) on how many variables can be plotted. It's just
      dependent on you CPU power...<br>
      rqt_plot has three different drawing backends selectable from it's
      configuration menu:<br>
      - qwt plot (fast, but not using message timestamps and needs
      python-qwt bindings)<br>
      - pyqtgraph (fast and needs pyqtgraph to be installed which is not
      in the repos)<br>
      - matplotlib (slow but always available)<br>
      <br>
      Hope that helps.<br>
      <br>
      Cheers,<br>
      Dorian<br>
      <br>
      <br>
      On 21/03/13 16:53, Adam Leeper wrote:<br>
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cite="mid:CABg+aGpPF-DLZ9fTtwpg+1DZe2fJY6JD47oL4AGk5ZZYBMvL2Q@mail.gmail.com"
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                <div>Hi all-<br>
                  <br>
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                I'd like a tool that plots a series of joint
                trajectories. In my work, I continuously re-plan
                motions, meaning I need each trajectory to spline
                smoothly at a particular time with the previously
                commanded trajectory. Having a graphical tool to verify
                that this is happening correctly would be very useful.<br>
                <br>
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              Has anyone already written such a tool?<br>
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            Otherwise, I guess I'll start getting familiar with rqt and
            matplotlib...<br>
            <br>
          </div>
          <div>By the way, rxplot is not sufficient because it can only
            interpret one number per message.<br>
            <br>
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          Thanks!<br>
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        --Adam<br>
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                        <div>Adam Leeper<br>
                          PhD Candidate, Stanford BioRobotics Lab
                          <div><a moz-do-not-send="true"
                              href="mailto:aleeper@stanford.edu"
                              target="_blank">aleeper@stanford.edu</a><br>
                            cell: 650.ROBOT.44</div>
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      <pre wrap="">_______________________________________________
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</pre>
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    <pre class="moz-signature" cols="72">-- 
Dipl.-Inform. Dorian Scholz         E-Mail:scholz(at)sim.tu-darmstadt.de
Simulation, Systems Optimization    Phone:  +49 (0) 6151 16-4811
and Robotics Group                  Fax:    +49 (0) 6151 16-6648
Technische Universität Darmstadt    <a class="moz-txt-link-freetext" href="http://www.sim.tu-darmstadt.de">http://www.sim.tu-darmstadt.de</a>
Hochschulstr. 10                    D-64289 Darmstadt, Germany</pre>
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