<div dir="ltr"><div><div>Hi,<br><br></div>Did you ever try Vega <a href="https://vega.github.io/vega/">https://vega.github.io/vega/</a>? As stated, "With Vega, you can describe the visual appearance and interactive
behavior of a visualization in a JSON format, and generate views using
HTML5 Canvas or SVG."<br><br>You can see a sandbox to try it <a href="http://vega.github.io/vega-editor/?mode=vega&spec=bar">http://vega.github.io/vega-editor/?mode=vega&spec=bar</a><br></div><div>It uses D3. With this approach, less need to code, more need to configure/create a configuration.<br><br></div><div>FYI, ESRI company has a product based on it called Cedar <a href="http://esri.github.io/cedar/">http://esri.github.io/cedar/</a> for creating online charts with their online maps<br></div><div><br><br></div><div>Cheers<br><br></div><div>Thomas Gratier<br></div><div><br><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">2016-10-01 0:04 GMT+02:00 Matteo Ghetta <span dir="ltr"><<a href="mailto:matteo.ghetta@gmail.com" target="_blank">matteo.ghetta@gmail.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><p dir="ltr">Hi Calvin, </p>
<p dir="ltr">well thanks to the complete refactoring code made by Micheal and Etienne the ui is completely changed.</p>
<p dir="ltr">Just clone the last version of the repository and try it. </p>
<p dir="ltr">No more external tmp file. The plots are directly shown inside a webview. Moreover the plot is interactive with the map cavas objects.</p>
<p dir="ltr">Give it a try! Adding other plot types is realy easy too. </p>
<p dir="ltr">If we can put the efforts togheter it will be awesome.</p>
<p dir="ltr">Cheers </p><span class="HOEnZb"><font color="#888888">
<p dir="ltr">Matteo </p></font></span><div class="HOEnZb"><div class="h5">
<div class="gmail_quote">Il 30/set/2016 20:58 "C Hamilton" <<a href="mailto:adenaculture@gmail.com" target="_blank">adenaculture@gmail.com</a>> ha scritto:<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div><div><div><span class="m_7337861559287190057m_-1234213427820156981gmail-il">Matteo,<br><br></span></div><span class="m_7337861559287190057m_-1234213427820156981gmail-il">I was able to sort of get it running. It does not appear to be able to display in the QGIS window. I am not sure if it was suppose to or not, but I saw where it was saving the temporary file and was able to view it in a web browser. I had to make some small changes to the one .ui file to make it come up and I see in some of the python modules (not sure they are actually used) referencing some .ui files that are not there. Do you have a functioning DataPlot that you could zip up and send to me?<br><br></span></div><span class="m_7337861559287190057m_-1234213427820156981gmail-il">My main concern is it is dependent upon a python library that is not a part of the QGIS distribution. I can't have users install plotly in order to get the plugin to work. I don't know plotly, but can it be in a folder within the plugin directory and executed from there or does it have to be installed into the python distribution.<br><br></span></div><span class="m_7337861559287190057m_-1234213427820156981gmail-il">Thanks!!!<br></span> </div><div class="gmail_extra"><br><div class="gmail_quote">On Fri, Sep 30, 2016 at 11:15 AM, matteo <span dir="ltr"><<a href="mailto:matteo.ghetta@gmail.com" target="_blank">matteo.ghetta@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Hamilton,<br>
<br>
a few months ago, during the QGIS Hackfest in Girona, me and Michael<br>
Douchin of LizMap started a D3 plugin based on the plotly library.<br>
<br>
unfortunately we did not have to much time to continue the work, but it<br>
is still here<br>
<br>
<a href="https://github.com/ghtmtt/DataPlot" rel="noreferrer" target="_blank">https://github.com/ghtmtt/Data<wbr>Plot</a><br>
<br>
if you want to give it a try, you just have to install the plotly<br>
library with pip and clone the repo in the plugin folder<br>
<br>
fell free to make any suggestion!<br>
<br>
Cheers<br>
<span class="m_7337861559287190057m_-1234213427820156981HOEnZb"><font color="#888888"><br>
Matteo<br>
</font></span></blockquote></div><br></div>
</blockquote></div>
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