def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
x0, y0, v_width, v_height = self.axes.viewLim.get_bounds()
l, b, width, height = self.axes.bbox.get_bounds()
width *= magnification
height *= magnification
im = _image.pcolor(self._Ax, self._Ay, self._A, height, width,
(x0, x0 + v_width, y0, y0 + v_height))
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg(*bg)
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError("You must first set the image array")
x0, y0, v_width, v_height = self.axes.viewLim.bounds
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 *= magnification
height *= magnification
im = _image.pcolor(self._Ax, self._Ay, self._A, height, width, (x0, x0 + v_width, y0, y0 + v_height))
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg(*bg)
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
x0, y0, v_width, v_height = self.axes.viewLim.get_bounds()
l, b, width, height = self.axes.bbox.get_bounds()
width *= magnification
height *= magnification
im = _image.pcolor(self._Ax, self._Ay, self._A,
height, width,
(x0, x0+v_width, y0, y0+v_height))
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg(*bg)
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
x0, y0, v_width, v_height = self.axes.viewLim.bounds
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 *= magnification
height *= magnification
im = _image.pcolor(self._Ax, self._Ay, self._A, height, width,
(x0, x0 + v_width, y0, y0 + v_height))
fc = self.axes.patch.get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg(*bg)
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError("You must first set the image array")
A = self._A
if len(A.shape) == 2:
if A.dtype != np.uint8:
A = self.to_rgba(A, bytes=True)
self.is_grayscale = self.cmap.is_gray()
else:
A = np.repeat(A[:, :, np.newaxis], 4, 2)
A[:, :, 3] = 255
self.is_grayscale = True
else:
if A.dtype != np.uint8:
A = (255 * A).astype(np.uint8)
if A.shape[2] == 3:
B = np.zeros(tuple(list(A.shape[0:2]) + [4]), np.uint8)
B[:, :, 0:3] = A
B[:, :, 3] = 255
A = B
self.is_grayscale = False
x0, y0, v_width, v_height = self.axes.viewLim.bounds
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 *= magnification
height *= magnification
im = _image.pcolor(
self._Ax,
self._Ay,
A,
int(height),
int(width),
(x0, x0 + v_width, y0, y0 + v_height),
_interpd_[self._interpolation],
)
fc = self.axes.patch.get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg(*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 NonUniformImage")
A = self._A
if A.ndim == 2:
if A.dtype != np.uint8:
A = self.to_rgba(A, bytes=True)
self.is_grayscale = self.cmap.is_gray()
else:
A = np.repeat(A[:, :, np.newaxis], 4, 2)
A[:, :, 3] = 255
self.is_grayscale = True
else:
if A.dtype != np.uint8:
A = (255 * A).astype(np.uint8)
if A.shape[2] == 3:
B = np.zeros(tuple(list(A.shape[0:2]) + [4]), np.uint8)
B[:, :, 0:3] = A
B[:, :, 3] = 255
A = B
self.is_grayscale = False
x0, y0, v_width, v_height = self.axes.viewLim.bounds
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)
width *= magnification
height *= magnification
im = _image.pcolor(
self._Ax,
self._Ay,
A,
int(height),
int(width),
(x0, x0 + v_width, y0, y0 + v_height),
_interpd_[self._interpolation],
)
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')
A = self._A
if len(A.shape) == 2:
if A.dtype != np.uint8:
A = self.to_rgba(A, bytes=True)
self.is_grayscale = self.cmap.is_gray()
else:
A = np.repeat(A[:,:,np.newaxis], 4, 2)
A[:,:,3] = 255
self.is_grayscale = True
else:
if A.dtype != np.uint8:
A = (255*A).astype(np.uint8)
if A.shape[2] == 3:
B = zeros(tuple(list(A.shape[0:2]) + [4]), np.uint8)
B[:,:,0:3] = A
B[:,:,3] = 255
A = B
self.is_grayscale = False
x0, y0, v_width, v_height = self.axes.viewLim.bounds
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 *= magnification
height *= magnification
im = _image.pcolor(self._Ax, self._Ay, A,
height, width,
(x0, x0+v_width, y0, y0+v_height),
self._interpd[self._interpolation])
fc = self.axes.patch.get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg(*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 NonUniformImage')
A = self._A
if A.ndim == 2:
if A.dtype != np.uint8:
A = self.to_rgba(A, bytes=True)
self.is_grayscale = self.cmap.is_gray()
else:
A = np.repeat(A[:, :, np.newaxis], 4, 2)
A[:, :, 3] = 255
self.is_grayscale = True
else:
if A.dtype != np.uint8:
A = (255*A).astype(np.uint8)
if A.shape[2] == 3:
B = np.zeros(tuple(list(A.shape[0:2]) + [4]), np.uint8)
B[:, :, 0:3] = A
B[:, :, 3] = 255
A = B
self.is_grayscale = False
x0, y0, v_width, v_height = self.axes.viewLim.bounds
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)
width *= magnification
height *= magnification
im = _image.pcolor(self._Ax, self._Ay, A,
int(height), int(width),
(x0, x0+v_width, y0, y0+v_height),
_interpd_[self._interpolation])
return im, l, b, IdentityTransform()
