Better repr for Bboxes.

[anntzer]

Bboxes have fairly ugly reprs right now, this small patch tries to improve that.

Before:

$ python -c 'from matplotlib.transforms import Bbox; print(Bbox([[0, 0], [1, 1]]))'
Bbox('array([[ 0.,  0.],\n       [ 1.,  1.]])')

After:

$ python -c 'from matplotlib.transforms import Bbox; print(Bbox([[0, 0], [1, 1]]))'
Bbox(x0=0.0, x1=1.0, y0=0.0, y1=1.0)

[tacaswell]

I am ambivalent to negative on this, as __repr__ is supposed to be able to recreate the object (https://docs.python.org/2/reference/datamodel.html#object.__repr__).

I would leave __repr__ as it is and put that code in __str__ (https://docs.python.org/2/reference/datamodel.html#object.__str__).

[anntzer]

Note that the current repr doesn't satisfy this requirement either (which was one of the reasons I bothered trying to fix this)...
Would Bbox([[0, 0], [1, 1]]) both as str and as repr work for you?

[tacaswell]

Yes, that would be good.

[pelson]

I agree with @tacaswell about the repr. My complaint with BBox generally is that I always get confused with the [x0, y0], [x1, y1] vs [x0, x1], [y0, y1] situation. For that reason, I'd be inclined to include your __str__ as well - this is especially useful when you have something like Bbox([[0, 1], [2, 3]]) where the x1 really could be the y0...

[pelson]

P.S. This would be an easy thing to write a test for... 😉

[anntzer]

Let's add __format__ (which just passes the format string to each coordinate) too.