def offset_copy(trans, fig=None, x=0, y=0, units='inches'):
'''
Return a shallow copy of a transform with an added offset.
args:
trans is any transform
kwargs:
fig is the current figure; it can be None if units are 'dots'
x, y give the offset
units is 'inches', 'points' or 'dots'
'''
newtrans = trans.shallowcopy()
if units == 'dots':
newtrans.set_offset((x, y), identity_transform())
return newtrans
if fig is None:
raise ValueError('For units of inches or points a fig kwarg is needed')
if units == 'points':
x /= 72.0
y /= 72.0
elif not units == 'inches':
raise ValueError('units must be dots, points, or inches')
tx = Value(x) * fig.dpi
ty = Value(y) * fig.dpi
newtrans.set_offset((0, 0), translation_transform(tx, ty))
return newtrans
def bbox_all(bboxes):
"""
Return the Bbox that bounds all bboxes
"""
# this is a good candidate to move to _transforms
assert (len(bboxes))
if len(bboxes) == 1: return bboxes[0]
bbox = bboxes[0]
minx = bbox.xmin()
miny = bbox.ymin()
maxx = bbox.xmax()
maxy = bbox.ymax()
for bbox in bboxes[1:]:
thisminx = bbox.xmin()
thisminy = bbox.ymin()
thismaxx = bbox.xmax()
thismaxy = bbox.ymax()
if thisminx < minx: minx = thisminx
if thismaxx > maxx: maxx = thismaxx
if thisminy < miny: miny = thisminy
if thismaxy > maxy: maxy = thismaxy
return Bbox(Point(Value(minx), Value(miny)), Point(Value(maxx),
Value(maxy)))
def inverse_transform_bbox(trans, bbox):
'inverse transform the bbox'
xmin, xmax = bbox.intervalx().get_bounds()
ymin, ymax = bbox.intervaly().get_bounds()
xmin, ymin = trans.inverse_xy_tup((xmin, ymin))
xmax, ymax = trans.inverse_xy_tup((xmax, ymax))
return Bbox(Point(Value(xmin), Value(ymin)), Point(Value(xmax),
Value(ymax)))
def lbwh_to_bbox(l, b, w, h):
return Bbox(Point(Value(l), Value(b)), Point(Value(l + w), Value(b + h)))
def one():
return Value(1)
def zero():
return Value(0)