On Wed, Jul 11, 2012 at 11:23 AM, John Hunter <jdh2...@gmail.com> wrote:
>
>
> On Wed, Jul 11, 2012 at 10:09 AM, Damon McDougall <
> damon.mcdoug...@gmail.com> wrote:
>>
>> Well, as Ben said, that error fill plot is neato! It doesn't look too
>> complicated, either. I'd be more than happy to port it over later today
>> when I get bored of typing up my thesis. It'll probably only take me
>> about 30 minutes.
>>
>> If nobody is opposed to this idea, I'll go ahead and submit a PR this
>> evening (British Summer (hah!) Time).
>>
>
>
> While it is a nice graph, I am not sure that the use case is common enough
> to justify a new plotting method. One can get the same result with:
>
>
> In [68]: x = np.linspace(0, 2 * np.pi)
>
> In [69]: y_sin = np.sin(x)
>
> In [70]: err = np.concatenate([y_sin + 0.2, y_sin[::-1] - 0.2])
>
> In [71]: plot(x, y_sin)
> Out[71]: [<matplotlib.lines.Line2D object at 0x96959ec>]
>
> In [72]: fill_between(np.concatenate([x, x[::-1]]), err,
> facecolor='red', alpha=0.5)
> Out[72]: <matplotlib.collections.PolyCollection object at 0x962758c>
>
> Admittedly the [::-1] thing is a bit counter-intuitive, but rather than
> adding a new plotting method, perhaps we would be better off with a helper
> method to create the xs and ys for fill_between
>
> xs, ys = mlab.pad_line(x, y, 0.2)
> fill_between(xs, ys)
>
> JDH
>
At the very least, it should be added to the gallery. Also, one thing that
might (or might not) get in the way of getting merged into mainline mpl is
how well it interacts with legends. What does it produce in the legend?
Ben Root
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