def make_image(self, flipy):
if self._A is not None:
x = self.to_rgba(self._A, self._alpha)
im = _image.fromarray(x, 0)
else:
raise RuntimeError('You must first set the image array or the image attribute')
bg = colorConverter.to_rgba(self.axes.get_frame().get_facecolor(), 0)
im.set_bg( *bg)
im.is_grayscale = (self.cmap.name == "gray" and
len(self._A.shape) == 2)
im.set_aspect(self._aspectd[self._aspect])
im.set_interpolation(self._interpd[self._interpolation])
# image input dimensions
numrows, numcols = im.get_size()
im.reset_matrix()
xmin, xmax, ymin, ymax = self.get_extent()
dxintv = xmax-xmin
dyintv = ymax-ymin
# the viewport scale factor
sx = dxintv/self.axes.viewLim.width()
sy = dyintv/self.axes.viewLim.height()
if im.get_interpolation()!=_image.NEAREST:
im.apply_translation(-1, -1)
# the viewport translation
tx = (xmin-self.axes.viewLim.xmin())/dxintv * numcols
if flipy:
ty = -(ymax-self.axes.viewLim.ymax())/dyintv * numrows
else:
ty = (ymin-self.axes.viewLim.ymin())/dyintv * numrows
l, b, widthDisplay, heightDisplay = self.axes.bbox.get_bounds()
im.apply_translation(tx, ty)
im.apply_scaling(sx, sy)
# resize viewport to display
rx = widthDisplay / numcols
ry = heightDisplay / numrows
if im.get_aspect()==_image.ASPECT_PRESERVE:
if ry < rx: rx = ry
# todo: center the image in viewport
im.apply_scaling(rx, rx)
else:
im.apply_scaling(rx, ry)
#print tx, ty, sx, sy, rx, ry, widthDisplay, heightDisplay
im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5))
return im
def make_image(self):
if self._A is None:
raise RuntimeError('You must first set the image array')
x = self.to_rgba(self._A, self._alpha)
im = _image.fromarray(x, 1)
im.set_bg(*colorConverter.to_rgba(self.figure.get_facecolor(), 0))
im.is_grayscale = (self.cmap.name == "gray"
and len(self._A.shape) == 2)
return im
def make_image(self):
if self._A is None:
raise RuntimeError('You must first set the image array')
x = self.to_rgba(self._A, self._alpha)
im = _image.fromarray(x, 1)
im.set_bg( *colorConverter.to_rgba(self.figure.get_facecolor(), 0) )
im.is_grayscale = (self.cmap.name == "gray" and
len(self._A.shape) == 2)
return im
def make_image(self):
if self._A is not None:
if self._imcache is None:
if typecode(self._A) == UInt8:
im = _image.frombyte(self._A, 0)
im.is_grayscale = False
else:
x = self.to_rgba(self._A, self._alpha)
im = _image.fromarray(x, 0)
if len(self._A.shape) == 2:
im.is_grayscale = self.cmap.is_gray()
else:
im.is_grayscale = False
self._imcache = im
else:
im = self._imcache
else:
raise RuntimeError("You must first set the image array or the image attribute")
bg = colorConverter.to_rgba(self.axes.get_frame().get_facecolor(), 0)
if self.origin == "upper":
im.flipud_in()
im.set_bg(*bg)
im.set_interpolation(self._interpd[self._interpolation])
# image input dimensions
numrows, numcols = im.get_size()
im.reset_matrix()
xmin, xmax, ymin, ymax = self.get_extent()
dxintv = xmax - xmin
dyintv = ymax - ymin
# the viewport scale factor
sx = dxintv / self.axes.viewLim.width()
sy = dyintv / self.axes.viewLim.height()
if im.get_interpolation() != _image.NEAREST:
im.apply_translation(-1, -1)
# the viewport translation
tx = (xmin - self.axes.viewLim.xmin()) / dxintv * numcols
# if flipy:
# ty = -(ymax-self.axes.viewLim.ymax())/dyintv * numrows
# else:
# ty = (ymin-self.axes.viewLim.ymin())/dyintv * numrows
ty = (ymin - self.axes.viewLim.ymin()) / dyintv * numrows
l, b, widthDisplay, heightDisplay = self.axes.bbox.get_bounds()
im.apply_translation(tx, ty)
im.apply_scaling(sx, sy)
# resize viewport to display
rx = widthDisplay / numcols
ry = heightDisplay / numrows
im.apply_scaling(rx, ry)
# print tx, ty, sx, sy, rx, ry, widthDisplay, heightDisplay
im.resize(int(widthDisplay + 0.5), int(heightDisplay + 0.5), norm=self._filternorm, radius=self._filterrad)
if self.origin == "upper":
im.flipud_in()
return im
def make_image(self):
if self._A is not None:
if self._imcache is None:
if typecode(self._A) == UInt8:
im = _image.frombyte(self._A, 0)
im.is_grayscale = False
else:
x = self.to_rgba(self._A, self._alpha)
im = _image.fromarray(x, 0)
if len(self._A.shape) == 2:
im.is_grayscale = self.cmap.is_gray()
else:
im.is_grayscale = False
self._imcache = im
else:
im = self._imcache
else:
raise RuntimeError(
'You must first set the image array or the image attribute')
bg = colorConverter.to_rgba(self.axes.get_frame().get_facecolor(), 0)
if self.origin == 'upper':
im.flipud_in()
im.set_bg(*bg)
im.set_interpolation(self._interpd[self._interpolation])
# image input dimensions
numrows, numcols = im.get_size()
im.reset_matrix()
xmin, xmax, ymin, ymax = self.get_extent()
dxintv = xmax - xmin
dyintv = ymax - ymin
# the viewport scale factor
sx = dxintv / self.axes.viewLim.width()
sy = dyintv / self.axes.viewLim.height()
if im.get_interpolation() != _image.NEAREST:
im.apply_translation(-1, -1)
# the viewport translation
tx = (xmin - self.axes.viewLim.xmin()) / dxintv * numcols
#if flipy:
# ty = -(ymax-self.axes.viewLim.ymax())/dyintv * numrows
#else:
# ty = (ymin-self.axes.viewLim.ymin())/dyintv * numrows
ty = (ymin - self.axes.viewLim.ymin()) / dyintv * numrows
l, b, widthDisplay, heightDisplay = self.axes.bbox.get_bounds()
im.apply_translation(tx, ty)
im.apply_scaling(sx, sy)
# resize viewport to display
rx = widthDisplay / numcols
ry = heightDisplay / numrows
im.apply_scaling(rx, ry)
#print tx, ty, sx, sy, rx, ry, widthDisplay, heightDisplay
im.resize(int(widthDisplay + 0.5),
int(heightDisplay + 0.5),
norm=self._filternorm,
radius=self._filterrad)
if self.origin == 'upper':
im.flipud_in()
return im
