A little late, but it’s actually relatively easy to implement yourself: public class DGMLWriter { public struct Graph { public Node[] Nodes; public Link[] Links; } public struct Node { [XmlAttribute] public string Id; [XmlAttribute] public string Label; public Node(string id, string label) { this.Id = id; this.Label = label; } } public struct Link … Read more
Just some thoughts: Environmental Datasets As stated by the other comment, have a look to weather, forecast (or similar services). Space data What about data from the Universe? Flights Here’s some real time flight tracking data: the evaluation plan is limited but free. Social Networks Twitter Streaming API, Facebook RealTime Updates API (in case you … Read more
I recently had to do something similar. I ended up writing a d3 plugin that could handle this case among a few others. https://github.com/jiahuang/d3-timeline I’m pretty new to D3 as well, but I hope it’s useful.
There are several solutions out there, but basically every one is using the same approach: create layer on top of your source to let you query at high level create a front end layer to talk with the level explained above use the visualization tool you want As miro marchi pointed, there are several solutions … Read more
Also use –execute to get the output jupyter nbconvert –execute –to html notebook.ipynb This produces a notebook.html file. The best practice is to keep the output out of the notebook for version control, see: Using IPython notebooks under version control But then, if you don’t pass –execute, the output won’t be present in the HTML, … Read more
There are some options, but I believe each would require a bit of work. It would help if there were one single standard for representing a family tree in JSON. I’ve recently noticed that geni.com has a quite in-depth API for this. Perhaps coding against their API would be a good idea for reusability… — … Read more
mybins=np.logspace(0, np.log(100), 100) g = sns.JointGrid(data1, data2, data, xlim=[.5, 1000000], ylim=[.1, 10000000]) g.plot_marginals(sns.distplot, color=”blue”, bins=mybins) g = g.plot(sns.regplot, sns.distplot) g = g.annotate(stats.pearsonr) ax = g.ax_joint ax.set_xscale(‘log’) ax.set_yscale(‘log’) g.ax_marg_x.set_xscale(‘log’) g.ax_marg_y.set_yscale(‘log’) This worked just fine. In the end, I decided to just convert my table values into log(x), since that made the graph easier to scale and … Read more
The Spacetree can be customized very much. The nodes can display images or anything we want. We can have custom click events for the nodes. To have custom events, you will have to redraw the whole tree in the onclick event. Here is an example. On the success function of the click event. Here I … Read more