def update_roi(self):
axes=(0,1)
# self.line_data = self.line_roi.getArrayRegion(self.zdata, self.imageItem, axes=(0,1))
img = self.imageItem
imgPts = [self.line_roi.mapToItem(img, h['item'].pos()) for h in self.line_roi.handles]
d = Point(imgPts[1] - imgPts[0])
o = Point(imgPts[0])
z = fn.affineSlice(self.zdata, shape=(int(d.length()),), vectors=[Point(d.norm())], origin=o, axes=axes, order=1)
x = fn.affineSlice(self.xdata, shape=(int(d.length()),), vectors=[Point(d.norm())], origin=o, axes=axes, order=1)
y = fn.affineSlice(self.ydata, shape=(int(d.length()),), vectors=[Point(d.norm())], origin=o, axes=axes, order=1)
self.line_data = (x,y,z)
def getArrayRegion(self,
data,
img,
axes=(0, 1),
order=1,
returnMappedCoords=False,
**kwds):
"""
Use the position of this ROI relative to an imageItem to pull a slice
from an array.
Since this pulls 1D data from a 2D coordinate system, the return value
will have ndim = data.ndim-1
See ROI.getArrayRegion() for a description of the arguments.
"""
imgPts = [self.mapToItem(img, h) for h in self.endpoints]
rgns = []
coords = []
d = Point(imgPts[1] - imgPts[0])
o = Point(imgPts[0])
rgn = affineSlice(data,
shape=(int(d.length()), ),
vectors=[Point(d.norm())],
origin=o,
axes=axes,
order=order,
returnCoords=returnMappedCoords,
**kwds)
return rgn
def getArrayIndexes(self, spacing=1, **kwds):
imgPts = self.get_vertex()
positions = []
for i in range(len(imgPts) - 1):
d = Point(imgPts[i + 1] - imgPts[i])
o = Point(imgPts[i])
vect = Point(d.norm())
Npts = 0
while Npts * spacing < d.length():
positions.append(((o + Npts * spacing * vect).x(),
(o + Npts * spacing * vect).y()))
Npts += 1
return positions
