Feature Request: Wireframe 3dplot colormap

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## Problem

Currently, `ax.plot_wireframe()` does not support a colormap; however, this is a very important use case for waterfall plots in spectroscopy.

A workaround was recently implemented in stackoverflow:

http://stackoverflow.com/questions/24909256/how-to-obtain-3d-colored-surface-via-python/26026556#26026556

However, this workaround does not work in the case for datasets in which X and Y are not of the same dimension. For example, if X is 100 points and Y is 50 points and Z(X,Y) is of shape (100X50) the workaround will fail.

I've looked into it, and the workaround fails because it depends on `LineCollection._segment3d`. In the case of equally space data (len(X) = len(Y)), `_segment3d` is ndim=3; otherwise it is ndim=1. This is the expected behavior of converting a list of list into a numpy array. `plot_wireframe()` passes a list of lists into `LineCollection`, and doing `np.array()` on a list of list will return a 1d array when the lists are of unequal length.
## Ideas

To fix this either requires changing how plot_wireframe() sends data into LineCollection3d. If it were to pass an array-object somehow instead of a list of lists, this might alleviate the behavior. Alternatively, perhaps `LineCollection._store3d` could be expanded to handle this case.
## Use cases

I'd expect both of these to work:

```
ax.plot_wireframe(X, Y, Z, cmap='jet')
```

and

```
wires = ax.plot_wireframe(X, Y, Z)
wires.set_cmap('jet')
#would wire.set_array() still be necessary?
```

PS, this might be worth combining with related: #3554 . The resulting product could produce plots like this one from mathworks: http://www.mathworks.com/help/matlab/ref/waterfall_1.png

Commencez par plot_wireframe() et suivez le cheminement de ses données jusqu’à LineCollection, en particulier _segment3d et _store3d. Examinez d’abord l’issue associée #3554 et l’exemple avec des dimensions inégales. Le travail est terminé lorsque les wireframes prennent en charge les cartes de couleurs à la fois pour l’utilisation directe de cmap et avec set_cmap(), y compris lorsque X et Y ont des longueurs différentes.

Rédigé par le modèle d'indexation à partir du texte de l'issue.