11–20 of 67 posts
Does this statement mean it supports Py3 and if you want to use it with 2.7 you need Futures? Or is it only Py2.X? [0]
[0] http://bokeh.pydata.org/en/latest/docs/installation.html
I've been playing around with this library and really like it. Python really is that much easier to use than R isn't it? Too bad most on the libraries are still in R. It's strange that there isn't a language written on top of R that is less troublesome to use or learn.
Here is a recent presentation showing Bokeh (from Python) along with data-shading to visualize billions of points quickly: http://www.slideshare.net/continuumio/visualizing-billions-o...
Here is another presentation showing integration of Bokeh with R to visualize geographical data from another group: http://ryanhafen.com/blog/rbokeh-gmap
0.11 and above releases of Bokeh contain a server that provides a very nice application model that can be synchronized between browser and server for allowing data scientists to build interactive plotting-based applications in the browser. Here are some simple examples of that: http://demo.bokehplots.com/
"To use the Bokeh server with python 2.7, you also need to install Futures package." Does this statement mean it supports Py3 and if you want to use it with 2.7 you need Futures? Or is it only Py2.X? [0] [0] http://bokeh.pydata.org/en/latest/docs/installation.html
A description of how one gets from Python to a web browser display would be nice. Is there a translation from Python to Javascript somewhere? Is there a Python web server backend? Are there dynamic visual updates or does this thing just generate a static output like a .png file?
Since I have never really liked Matplotlib I would really like to learn Bokeh, but unfortunately its inability to export its visualizations in SVG or similar formats makes it kind of useless for me as a scientist wanting to publish my results.
They're working on it, probably in a month or two you'll be able to do it: https://groups.google.com/a/continuum.io/forum/#!searchin/bo... At the current time you can export to png, or maybe export to svg in a roundabout manner, by turning html page into pdf, turning pdf into svg, etc.
Since I have never really liked Matplotlib I would really like to learn Bokeh, but unfortunately its inability to export its visualizations in SVG or similar formats makes it kind of useless for me as a scientist wanting to publish my results.
"Bokeh is a Python interactive visualization library that targets modern web browsers for presentation." A description of how one gets from Python to a web browser display would be nice. Is there a translation from Python to Javascript somewhere? Is there a Python web server backend? Are there dynamic visual updates or does this thing just generate a static output like a .png file?
> When you execute this script, you will see that a new output file "lines.html" is created, and that a browser automatically opens a new tab to display it. (For presentation purposes we have included the plot output directly inline in this document.)
This is based on an example calling an output_file() function, but the docs also mention output_notebook(), and I'm sure you can output to HTML as a string as well. I didn't spend too much time digging yet.
"Bokeh is a Python interactive visualization library that targets modern web browsers for presentation." A description of how one gets from Python to a web browser display would be nice. Is there a translation from Python to Javascript somewhere? Is there a Python web server backend? Are there dynamic visual updates or does this thing just generate a static output like a .png file?
I've been playing around with this library and really like it. Python really is that much easier to use than R isn't it? Too bad most on the libraries are still in R. It's strange that there isn't a language written on top of R that is less troublesome to use or learn.
Call the libraries with Rpy2, or build models using a DAG of functions and distributions with pymc 3
"Bokeh is a Python interactive visualization library that targets modern web browsers for presentation." A description of how one gets from Python to a web browser display would be nice. Is there a translation from Python to Javascript somewhere? Is there a Python web server backend? Are there dynamic visual updates or does this thing just generate a static output like a .png file?
my question exactly. What does this do that I can't do with highcharts?