51–60 of 66 posts
Are mouse hover interactions in the timeline (display value of selected point)? Don't see any references but otherwise this is a very interesting project.
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Part of the 0.4 release is to incorporate the concept of abstract rendering - which means you render on the server, and then send the necessary information over to the client on demand. For example, if someone tries to scatter a billion points, instead of just drawing a useless point cloud, you would figure out where all the points fit inside your 512x512 canvas (or whatever size you have), figure out how all the poi…
I have a project involving multi-gigabyte datasets of line plot data. With your 0.4 release, will it be possible to show down-sampled subsets of these plots, with the ability to pan/zoom around and get more data on demand without having it all held in memory?
If you want to discuss further, please email bokeh@continuum.io
As a "database guy" who uses Python for most things not bash, is this an approach for viz apps that would eliminate (most) of the need to muck about in JavaScript? D3 and its children produce some awesome visualizations, but the bandwidth does not exist for me to begin developing apps in a language I don't have much experience in. If something like Bokeh allows me to live mostly in Python, it becomes even more intere…
It was designed foremost to make graphs pertinent for scientific and engineering applications: https://plot.ly/~alex/76/
(Disclosure: I'm a dev @Plotly)
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Part of the 0.4 release is to incorporate the concept of abstract rendering - which means you render on the server, and then send the necessary information over to the client on demand. For example, if someone tries to scatter a billion points, instead of just drawing a useless point cloud, you would figure out where all the points fit inside your 512x512 canvas (or whatever size you have), figure out how all the poi…
I have a project involving multi-gigabyte datasets of line plot data. With your 0.4 release, will it be possible to show down-sampled subsets of these plots, with the ability to pan/zoom around and get more data on demand without having it all held in memory?
Earlier quoted context omitted.
Here is a linked brushing example in the IPython notebook. http://nbviewer.ipython.org/urls/raw.github.com/ContinuumIO/...
For some reason I can't get any of the interactivity buttons to work. EDIT: Ok, everything but the zoom works. How do you zoom?
If that is not the issue, please file a ticket on GitHub!
It's worth mentioning that the IPython guys are implementing a similar json/python bridge to support the new interactive tools in the IPython notebook. Once that is up and running, we'll probably just piggy back off of that bridge, when you're running in the notebook.
As a "database guy" who uses Python for most things not bash, is this an approach for viz apps that would eliminate (most) of the need to muck about in JavaScript? D3 and its children produce some awesome visualizations, but the bandwidth does not exist for me to begin developing apps in a language I don't have much experience in. If something like Bokeh allows me to live mostly in Python, it becomes even more intere…
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This is really cool, but what about adding interactivity with the charts? My first thought when I saw the headline was that this python library just generates D3 code, but it seems to be generating some sort of a static SVG object.
There are already some tools available, pan and wheel zoom, plot resizing, selection (on some plot types). Many more tool types are planned. As for the architecture, BokehJS is built entirely on top of HTML canvas. The python bokeh library sends data and plot specifications to the browser, which uses BokehJS to render the plot and handle interactive tools, etc.
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For some reason I can't get any of the interactivity buttons to work. EDIT: Ok, everything but the zoom works. How do you zoom?
The current zoom tool is a scroll wheel zoom, not a box selection zoom. Guessing that might be the issue since others have run into the ambiguous description as well. It will be labeled more precisely in master in a few days and in the next release as well. If that is not the issue, please file a ticket on GitHub!