Bokeh – a Python interactive visualization library
bokeh.pydata.org
Bokeh – a Python interactive visualization library
1–10 of 67 posts
Re: Bokeh – a Python interactive visualization library
#2I'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.
Re: Bokeh – a Python interactive visualization library
#3Great library, specially useful for doing streaming visualizations. I gave a talk last year at PyData Singapore about it, slides are available here - http://asankhaya.github.io/professional.html#PyDataSG
Re: Bokeh – a Python interactive visualization library
#4Since 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.
Re: Bokeh – a Python interactive visualization library
#5I'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
Re: Bokeh – a Python interactive visualization library
#6I'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.
Fortran programmers find it much "easier" than other languages. You are arguing about a subjective matter here. The fact that there are so many R packages and users shows it is useful to a large enough subset of users in statistics/data science domain.
Re: Bokeh – a Python interactive visualization library
#7I'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.
Fortran programmers find it much "easier" than other languages. You are arguing about a subjective matter here. The fact that there are so many R packages and users shows it is useful to a large enough subset of users in statistics/data science domain.
Speakers of English think it is easier than Swahili, but we know from language acquisition studies that Swahili is easier to learn in the large.
Your use of "subjective" is imprecise and overly relativistic. Just because something has to do with the human mind, or human experience, doesn't make that thing a priori subjective.
Re: Bokeh – a Python interactive visualization library
#8Strange name, it refers to the way a camera lens blurs out-of-focus objects (especially highlights) into a disc shape [1]. I was expecting an image processing library.
Bokeh is widely discussed by photography equipment aficionados as one of the main distinguishing traits of different lens designs besides sharpness, distortion, etc.
edit: maybe it is an allusion to bubble plots?
Re: Bokeh – a Python interactive visualization library
#9Since 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.
Re: Bokeh – a Python interactive visualization library
#10Since 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.
But hey, you can save your work in a xkcd style:
to_bokeh(fig=None, use_pandas=True, xkcd=False)