On Mar 4, 2015, at 11:29 AM, jordicasa@gmail.com wrote:
I'm also trying to make a plot with a completely transparent background (and border). I don't know if you've already fixed that. I don't find it in the documentation, and figure() does not seem to accept any attribute similar to background_fill_alpha. Any news?
(I'm using 0.8.1)
Thank you!
El dijous, 22 maig de 2014 18:38:07 UTC+2, Bryan Van de ven va escriure:
Actually just deleting those lines will leave a white background, not transparent. It looks like we neglected the possibility of background alpha. It should be a simple fix, I will put in in master today, and also upload (and announce) some dev builds later as well.
Regarding the second question, very astute observation, it was just to set up the plot plot properties. The best way to do that now is with “figure()” though note, figure() does not create a plot on an existing one, or sets up properties for the next plot created. In this case there is not one, so the curplot() immediately after will fail. Those commands need to be moved later. I will update the example and push that to master as well.
--
Bryan Van de Ven
Continuum Analytics
On May 22, 2014 at 11:25:28 AM, Damian Avila (damian...@continuum.io) wrote:
> Hi Mike,
>
> To have transparent background just comment or delete the lines 71-72 (you
> can use those properties to choose any color you want).
>
> Regarding your second question...
>
> you can use figure() to configure the plot appearance, but you can also
> pass these properties to the glyph: line(), rect(), etc...
>
> http://bokeh.pydata.org/docs/user_guide.html#plots
>
> There is probably several ways to draw things using Bokeh (according with
> some specific needs) but I would suggest the pattern showed in the Bokeh
> tutorial: http://bokeh.pydata.org/tutorial/index.html, as a starting point.
>
> Damián
>
>
>
> On Wed, May 21, 2014 at 7:57 PM, Mike Schiller wrote:
>
> > I'm trying to modify burtin.py (in examples/plotting/file) so that the
> > resulting png will have a transparent background, but can't seem to figure
> > out how to go about that. Could someone point me in the right direction?
> >
> > Also, I'm a bit confused as to the point of the line 65 of
> > https://github.com/ContinuumIO/bokeh/blob/master/examples/plotting/server/burtin.py
> >
> > While it seems to be instantiating the buttons on the resulting web page,
> > I can change the first two arguments to be empty lists with no apparent
> > affect. However, if I remove the line entirely, the plot.x_range statement
> > on line 68 fails because there wasn't a current plot on line 67. Is this a
> > typical way of initializing things, or is there a better pattern to follow?
> >
> > Thanks,
> > Mike
> >
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