On 2013/03/24 12:14 PM, Benjamin Root wrote:
> So, for plot(), scatter() and other plotting functions, we can provide a
> label= kwarg so that a legend() can automatically populate the legend,
> making it extremely easy and convenient for making legends. But for
> image-based (scalar mappable) typ
In general I like the idea, but I'm not sure what behaviour I would expect
in this case:
plt.imshow(z, label='foobar')
plt.imshow(z, label='wibble')
plt.colorbar()
I suppose it is an analogous problem to:
plt.imshow(z, cmap='hot')
plt.imshow(z, cmap='jet')
plt.colorbar()
Which produces a colorb
On Mon, Mar 25, 2013 at 3:03 AM, Eric Firing wrote:
> On 2013/03/24 12:14 PM, Benjamin Root wrote:
> > So, for plot(), scatter() and other plotting functions, we can provide a
> > label= kwarg so that a legend() can automatically populate the legend,
> > making it extremely easy and convenient fo
OOI Is anyone planning to run an advanced matplotlib tutorial this year?
I've added a few ideas to
https://github.com/matplotlib/matplotlib/wiki/Scipy-2013 - some are more
advanced than others and would need a bit of planning should we decide to
run with them.
On 23 March 2013 17:06, Damon McDo
On Mon, Mar 25, 2013 at 2:03 AM, Eric Firing wrote:
> On 2013/03/24 12:14 PM, Benjamin Root wrote:
>> So, for plot(), scatter() and other plotting functions, we can provide a
>> label= kwarg so that a legend() can automatically populate the legend,
>> making it extremely easy and convenient for ma
I am putting together a beginners tutorial proposal that I will submit
soon, depending on the feedback from the Guinea Pigs--- uhm, I mean,
coworkers tomorrow.
Ben Root
--
Everyone hates slow websites. So do we.
Make your
>I am putting together a beginners tutorial proposal that I will submit soon
That's great to hear! Are you planning on making the tutorial material part
of mpl's docs or using the content that is already out there?
On 25 March 2013 16:16, Benjamin Root wrote:
> I am putting together a beginne
On Mon, Mar 25, 2013 at 12:46 PM, Phil Elson wrote:
> >I am putting together a beginners tutorial proposal that I will submit
> soon
>
> That's great to hear! Are you planning on making the tutorial material
> part of mpl's docs or using the content that is already out there?
>
>
>
It is all new
I think there is something to be said for not starting from pylab.
Answering questions on SO, a good chunk of them (by volume) can be
traced back to not understanding the magic that pylab is doing for you
in the background or not even knowing magic is being done for you.
Starting from pylab makes e
On Mon, Mar 25, 2013 at 12:17 PM, Thomas A Caswell
wrote:
> I think there is something to be said for not starting from pylab.
> Answering questions on SO, a good chunk of them (by volume) can be
> traced back to not understanding the magic that pylab is doing for you
> in the background or not ev
One idea I've been using is to show explicitly what's going on in the
background when you're using defaults by instantiating all the default settings:
http://www.loria.fr/~rougier/teaching/matplotlib/#using-defaults
versus
http://www.loria.fr/~rougier/teaching/matplotlib/#instantiating-defaul
These are fantastic slides. It would be great to include them in some
form for a replacement for some parts of the docs that are getting a
little long in the tooth.
I particularly like the reference section -- we have some of that in the
main docs, but not enough. I think as Nelle Varaquoax a
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