Re: [Matplotlib-users] ANN: matplotlib 1.3.0 released

[Michael D. <md...@st...>]

Choose it as a backend.  See here:

http://matplotlib.org/faq/usage_faq.html#what-is-a-backend

Then when you call "plt.show()", it will fire up the webserver and 
launch a browser window.

Mike

On 08/01/2013 03:03 PM, K.-Michael Aye wrote:
>
> Very nice, congrats!
>
>
> I was looking for some example to setup webagg but can't seem to find 
> any? Is there anything written down about it?
>
>
> Cheers,
>
> Michael
>
>
>
>
>
> On 2013-08-01 18:06:35 +0000, Michael Droettboom said:
>
>
> On behalf of a veritable army of super coders, I'm pleased to announce 
> the release of matplotlib 1.3.0.
>
>
>   Downloads
>
> Downloads are available here:
>
> http://matplotlib.org/downloads.html
>
> as well as through pip. Check with your distro for when matplotlib 
> 1.3.0 will become packaged for your environment.
>
> (Note: Mac .dmg installers are still forthcoming due to some issues 
> with the new installation approach.)
>
>
>   Important known issues
>
> matplotlib no longer ships with its Python dependencies, including 
> dateutil, pytz, pyparsing and six. When installing from source or pip, 
> pip will install these for you automatically. When installing from 
> packages (on Linux distributions, MacPorts, homebrew etc.) these 
> dependencies should also be handled automatically. The Windows binary 
> installers do not include or install these dependencies.
>
> You may need to remove any old matplotlib installations before 
> installing 1.3.0 to ensure matplotlib has access to the latest 
> versions of these dependencies.
>
> The following backends have been removed: QtAgg (Qt version 3.x only), 
> FlktAgg and Emf.
>
> For a complete list of removed features, see 
> http://matplotlib.org/api/api_changes.html#changes-in-1-3
>
>
>   What's new
>
>   * xkcd-style sketch plotting
>   * webagg backend for displaying and interacting with plots in a web
>     browser
>   * event plots
>   * triangular grid interpolation
>   * control of baselines in stackplot
>   * many improvements to text and color handling
>
> For a complete list of what's new, see
>
> http://matplotlib.org/users/whats_new.html#new-in-matplotlib-1-3
>
> Have fun, and enjoy matplotlib!
>
> Michael Droettboom
>
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