def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
fc = self.axes.patch.get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
bg = (np.array(bg)*255).astype(np.uint8)
l, b, r, t = self.axes.bbox.extents
width = (round(r) + 0.5) - (round(l) - 0.5)
height = (round(t) + 0.5) - (round(b) - 0.5)
width = width * magnification
height = height * magnification
if self._rgbacache is None:
A = self.to_rgba(self._A, alpha=self._alpha, bytes=True)
self._rgbacache = A
if self._A.ndim == 2:
self.is_grayscale = self.cmap.is_gray()
else:
A = self._rgbacache
vl = self.axes.viewLim
im = _image.pcolor2(self._Ax, self._Ay, A,
height,
width,
(vl.x0, vl.x1, vl.y0, vl.y1),
bg)
im.is_grayscale = self.is_grayscale
return im
def make_image(self, renderer, magnification=1.0, unsampled=False):
if self._A is None:
raise RuntimeError('You must first set the image array')
if unsampled:
raise ValueError('unsampled not supported on PColorImage')
fc = self.axes.patch.get_facecolor()
bg = mcolors.to_rgba(fc, 0)
bg = (np.array(bg)*255).astype(np.uint8)
l, b, r, t = self.axes.bbox.extents
width = (np.round(r) + 0.5) - (np.round(l) - 0.5)
height = (np.round(t) + 0.5) - (np.round(b) - 0.5)
# The extra cast-to-int is only needed for python2
width = int(np.round(width * magnification))
height = int(np.round(height * magnification))
if self._rgbacache is None:
A = self.to_rgba(self._A, bytes=True)
self._rgbacache = A
if self._A.ndim == 2:
self.is_grayscale = self.cmap.is_gray()
else:
A = self._rgbacache
vl = self.axes.viewLim
im = _image.pcolor2(self._Ax, self._Ay, A,
height,
width,
(vl.x0, vl.x1, vl.y0, vl.y1),
bg)
return im, l, b, IdentityTransform()
def make_image(self, renderer, magnification=1.0, unsampled=False):
if self._A is None:
raise RuntimeError('You must first set the image array')
if unsampled:
raise ValueError('unsampled not supported on PColorImage')
fc = self.axes.patch.get_facecolor()
bg = mcolors.to_rgba(fc, 0)
bg = (np.array(bg)*255).astype(np.uint8)
l, b, r, t = self.axes.bbox.extents
width = (np.round(r) + 0.5) - (np.round(l) - 0.5)
height = (np.round(t) + 0.5) - (np.round(b) - 0.5)
# The extra cast-to-int is only needed for python2
width = int(np.round(width * magnification))
height = int(np.round(height * magnification))
if self._rgbacache is None:
A = self.to_rgba(self._A, bytes=True)
self._rgbacache = A
if self._A.ndim == 2:
self.is_grayscale = self.cmap.is_gray()
else:
A = self._rgbacache
vl = self.axes.viewLim
im = _image.pcolor2(self._Ax, self._Ay, A,
height,
width,
(vl.x0, vl.x1, vl.y0, vl.y1),
bg)
return im, l, b, IdentityTransform()
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
bg = (npy.array(bg) * 255).astype(npy.uint8)
x0, y0, v_width, v_height = self.axes.viewLim.get_bounds()
l, b, width, height = self.axes.bbox.get_bounds()
width *= magnification
height *= magnification
if self.check_update('array'):
A = self.to_rgba(self._A, alpha=self._alpha, bytes=True)
self._rgbacache = A
if self._A.ndim == 2:
self.is_grayscale = self.cmap.is_gray()
else:
A = self._rgbacache
im = _image.pcolor2(self._Ax, self._Ay, A, height, width,
(x0, x0 + v_width, y0, y0 + v_height), bg)
im.is_grayscale = self.is_grayscale
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
bg = (npy.array(bg)*255).astype(npy.uint8)
x0, y0, v_width, v_height = self.axes.viewLim.get_bounds()
l, b, width, height = self.axes.bbox.get_bounds()
width *= magnification
height *= magnification
if self.check_update('array'):
A = self.to_rgba(self._A, alpha=self._alpha, bytes=True)
self._rgbacache = A
if self._A.ndim == 2:
self.is_grayscale = self.cmap.is_gray()
else:
A = self._rgbacache
im = _image.pcolor2(self._Ax, self._Ay, A,
height, width,
(x0, x0+v_width, y0, y0+v_height),
bg)
im.is_grayscale = self.is_grayscale
return im
