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Commit6253d80

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Merge pull request#17090 from brunobeltran/bbox-docs
DOCS: add examples of how one "should" use Bbox
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‎lib/matplotlib/transforms.py

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@@ -682,6 +682,82 @@ def intersection(bbox1, bbox2):
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classBbox(BboxBase):
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"""
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A mutable bounding box.
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Examples
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--------
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**Create from known bounds**
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The default constructor takes the boundary "points" ``[[xmin, ymin],
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[xmax, ymax]]``.
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>>> Bbox([[1, 1], [3, 7]])
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Bbox([[1.0, 1.0], [3.0, 7.0]])
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Alternatively, a Bbox can be created from the flattened points array, the
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so-called "extents" ``(xmin, ymin, xmax, ymax)``
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>>> Bbox.from_extents(1, 1, 3, 7)
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Bbox([[1.0, 1.0], [3.0, 7.0]])
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or from the "bounds" ``(xmin, ymin, width, height)``.
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>>> Bbox.from_bounds(1, 1, 2, 6)
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Bbox([[1.0, 1.0], [3.0, 7.0]])
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**Create from collections of points**
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The "empty" object for accumulating Bboxs is the null bbox, which is a
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stand-in for the empty set.
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>>> Bbox.null()
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Bbox([[inf, inf], [-inf, -inf]])
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Adding points to the null bbox will give you the bbox of those points.
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>>> box = Bbox.null()
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>>> box.update_from_data_xy([[1, 1]])
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>>> box
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Bbox([[1.0, 1.0], [1.0, 1.0]])
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>>> box.update_from_data_xy([[2, 3], [3, 2]], ignore=False)
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>>> box
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Bbox([[1.0, 1.0], [3.0, 3.0]])
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Setting ``ignore=True`` is equivalent to starting over from a null bbox.
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>>> box.update_from_data_xy([[1, 1]], ignore=True)
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>>> box
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Bbox([[1.0, 1.0], [1.0, 1.0]])
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.. warning::
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It is recommended to always specify ``ignore`` explicitly. If not, the
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default value of ``ignore`` can be changed at any time by code with
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access to your Bbox, for example using the method `~.Bbox.ignore`.
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**Properties of the ``null`` bbox**
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.. note::
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The current behavior of `Bbox.null()` may be surprising as it does
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not have all of the properties of the "empty set", and as such does
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not behave like a "zero" object in the mathematical sense. We may
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change that in the future (with a deprecation period).
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The null bbox is the identity for intersections
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>>> Bbox.intersection(Bbox([[1, 1], [3, 7]]), Bbox.null())
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Bbox([[1.0, 1.0], [3.0, 7.0]])
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except with itself, where it returns the full space.
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>>> Bbox.intersection(Bbox.null(), Bbox.null())
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Bbox([[-inf, -inf], [inf, inf]])
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A union containing null will always return the full space (not the other
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set!)
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>>> Bbox.union([Bbox([[0, 0], [0, 0]]), Bbox.null()])
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Bbox([[-inf, -inf], [inf, inf]])
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"""
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def__init__(self,points,**kwargs):
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----------
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points : ndarray
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A 2x2 numpy array of the form ``[[x0, y0], [x1, y1]]``.
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Notes
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-----
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If you need to create a `Bbox` object from another form
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of data, consider the static methods :meth:`unit`,
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:meth:`from_bounds` and :meth:`from_extents`.
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"""
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BboxBase.__init__(self,**kwargs)
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points=np.asarray(points,float)

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