def stop_filter(self, post_processing):
"""
Save the plot in the current canvas as a image and apply
the *post_processing* function.
def post_processing(image, dpi):
...
return new_image, offset_x, offset_y
The saved renderer is restored and the returned image from
post_processing is plotted (using draw_image) on it.
"""
from matplotlib._image import fromarray
width, height = int(self.width), int(self.height)
buffer, bounds = self._renderer.tostring_rgba_minimized()
l, b, w, h = bounds
self._renderer = self._filter_renderers.pop()
self._update_methods()
if w > 0 and h > 0:
img = npy.fromstring(buffer, npy.uint8)
img, ox, oy = post_processing(img.reshape((h, w, 4)) / 255.,
self.dpi)
image = fromarray(img, 1)
image.flipud_out()
gc = self.new_gc()
self._renderer.draw_image(gc,
l+ox, height - b - h +oy,
image)
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
x = self.to_rgba(self._A, self._alpha)
self.magnification = magnification
# if magnification is not one, we need to resize
ismag = magnification!=1
#if ismag: raise RuntimeError
if ismag:
isoutput = 0
else:
isoutput = 1
im = _image.fromarray(x, isoutput)
fc = self.figure.get_facecolor()
im.set_bg( *mcolors.colorConverter.to_rgba(fc, 0) )
im.is_grayscale = (self.cmap.name == "gray" and
len(self._A.shape) == 2)
if ismag:
numrows, numcols = self.get_size()
numrows *= magnification
numcols *= magnification
im.set_interpolation(_image.NEAREST)
im.resize(numcols, numrows)
if self.origin=='upper':
im.flipud_out()
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array or the image attribute')
if self._imcache is None:
if self._A.dtype == npy.uint8 and len(self._A.shape) == 3:
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
if self.origin=='upper':
im.flipud_in()
else:
im = self._imcache
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg( *bg)
# image input dimensions
im.reset_matrix()
numrows, numcols = im.get_size()
im.set_interpolation(self._interpd[self._interpolation])
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
# the viewport translation
tx = (xmin-self.axes.viewLim.x0)/dxintv * numcols
ty = (ymin-self.axes.viewLim.y0)/dyintv * numrows
l, b, widthDisplay, heightDisplay = self.axes.bbox.bounds
widthDisplay *= magnification
heightDisplay *= magnification
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)
im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5),
norm=self._filternorm, radius=self._filterrad)
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array')
x = self.to_rgba(self._A, self._alpha)
self.magnification = magnification
# if magnification is not one, we need to resize
ismag = magnification != 1
#if ismag: raise RuntimeError
if ismag:
isoutput = 0
else:
isoutput = 1
im = _image.fromarray(x, isoutput)
fc = self.figure.get_facecolor()
im.set_bg(*mcolors.colorConverter.to_rgba(fc, 0))
im.is_grayscale = (self.cmap.name == "gray"
and len(self._A.shape) == 2)
if ismag:
numrows, numcols = self.get_size()
numrows *= magnification
numcols *= magnification
im.set_interpolation(_image.NEAREST)
im.resize(numcols, numrows)
if self.origin == 'upper':
im.flipud_out()
return im
def make_image(self, renderer, magnification=1.0):
if self._A is None:
raise RuntimeError(
'You must first set the image array or the image attribute')
if self._imcache is None:
if self._A.dtype == np.uint8 and len(self._A.shape) == 3:
im = _image.frombyte(self._A, 0)
im.is_grayscale = False
else:
if self._rgbacache is None:
x = self.to_rgba(self._A, self._alpha)
self._rgbacache = x
else:
x = self._rgbacache
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
if self.origin == 'upper':
im.flipud_in()
else:
im = self._imcache
# image input dimensions
im.reset_matrix()
im.set_interpolation(self._interpd[self._interpolation])
im.set_resample(self._resample)
l, b, r, t = self.get_window_extent(renderer).extents #bbox.extents
widthDisplay = (round(r) + 0.5) - (round(l) - 0.5)
heightDisplay = (round(t) + 0.5) - (round(b) - 0.5)
widthDisplay *= magnification
heightDisplay *= magnification
numrows, numcols = self._A.shape[:2]
# resize viewport to display
rx = widthDisplay / numcols
ry = heightDisplay / numrows
#im.apply_scaling(rx*sx, ry*sy)
im.apply_scaling(rx, ry)
#im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5),
# norm=self._filternorm, radius=self._filterrad)
im.resize(int(widthDisplay),
int(heightDisplay),
norm=self._filternorm,
radius=self._filterrad)
return im
def make_image(self, renderer, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array or the image attribute')
if self._imcache is None:
if self._A.dtype == np.uint8 and len(self._A.shape) == 3:
im = _image.frombyte(self._A, 0)
im.is_grayscale = False
else:
if self._rgbacache is None:
x = self.to_rgba(self._A, self._alpha)
self._rgbacache = x
else:
x = self._rgbacache
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
if self.origin=='upper':
im.flipud_in()
else:
im = self._imcache
# image input dimensions
im.reset_matrix()
im.set_interpolation(self._interpd[self._interpolation])
im.set_resample(self._resample)
l, b, r, t = self.get_window_extent(renderer).extents #bbox.extents
widthDisplay = (round(r) + 0.5) - (round(l) - 0.5)
heightDisplay = (round(t) + 0.5) - (round(b) - 0.5)
widthDisplay *= magnification
heightDisplay *= magnification
numrows, numcols = self._A.shape[:2]
# resize viewport to display
rx = widthDisplay / numcols
ry = heightDisplay / numrows
#im.apply_scaling(rx*sx, ry*sy)
im.apply_scaling(rx, ry)
#im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5),
# norm=self._filternorm, radius=self._filterrad)
im.resize(int(widthDisplay), int(heightDisplay),
norm=self._filternorm, radius=self._filterrad)
return im
def stop_filter(self, post_processing):
return RendererBase.stop_filter(self, post_processing)
"""
Save the plot in the current canvas as a image and apply
the *post_processing* function.
def post_processing(image, dpi):
# ny, nx, depth = image.shape
# image (numpy array) has RGBA channels and has a depth of 4.
...
# create a new_image (numpy array of 4 channels, size can be
# different). The resulting image may have offsets from
# lower-left corner of the original image
return new_image, offset_x, offset_y
The saved renderer is restored and the returned image from
post_processing is plotted (using draw_image) on it.
"""
# WARNING.
# For agg_filter to work, the rendere's method need
# to overridden in the class. See draw_markers, and draw_path_collections
from matplotlib._image import fromarray
width, height = int(self.width), int(self.height)
buffer, bounds = self._renderer.tostring_rgba_minimized()
l, b, w, h = bounds
self._renderer = self._filter_renderers.pop()
self._update_methods()
if w > 0 and h > 0:
img = np.fromstring(buffer, np.uint8)
img, ox, oy = post_processing(img.reshape((h, w, 4)) / 255.,
self.dpi)
image = fromarray(np.flipud(img), 1)
# image.flipud_out()
gc = self.new_gc()
self._renderer.draw_image(gc,
l+ox, height - b - h +oy,
image)
def stop_filter(self, post_processing):
"""
Save the plot in the current canvas as a image and apply
the *post_processing* function.
def post_processing(image, dpi):
# ny, nx, depth = image.shape
# image (numpy array) has RGBA channels and has a depth of 4.
...
# create a new_image (numpy array of 4 channels, size can be
# different). The resulting image may have offsets from
# lower-left corner of the original image
return new_image, offset_x, offset_y
The saved renderer is restored and the returned image from
post_processing is plotted (using draw_image) on it.
"""
# WARNING.
# For agg_filter to work, the rendere's method need
# to overridden in the class. See draw_markers, and draw_path_collections
from matplotlib._image import fromarray
width, height = int(self.width), int(self.height)
buffer, bounds = self._renderer.tostring_rgba_minimized()
l, b, w, h = bounds
self._renderer = self._filter_renderers.pop()
self._update_methods()
if w > 0 and h > 0:
img = np.fromstring(buffer, np.uint8)
img, ox, oy = post_processing(img.reshape((h, w, 4)) / 255.,
self.dpi)
image = fromarray(img, 1)
image.flipud_out()
gc = self.new_gc()
self._renderer.draw_image(gc,
l+ox, height - b - h +oy,
image)
def make_image(self, magnification=1.0):
# had to introduce argument magnification to satisfy the unit test
# figimage_demo.py. I have no idea, how magnification should be used
# within the function. It should be !=1.0 only for non-default DPI
# settings in the PS backend, as introduced by patch #1562394
# Probably Nicholas Young should look over this code and see, how
# magnification should be handled correctly.
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)
fc = self.figure.get_facecolor()
im.set_bg(*mcolors.colorConverter.to_rgba(fc, 0))
im.is_grayscale = self.cmap.name == "gray" and len(self._A.shape) == 2
if self.origin == "upper":
im.flipud_out()
return im
def make_image(self, magnification=1.0):
# had to introduce argument magnification to satisfy the unit test
# figimage_demo.py. I have no idea, how magnification should be used
# within the function. It should be !=1.0 only for non-default DPI
# settings in the PS backend, as introduced by patch #1562394
# Probably Nicholas Young should look over this code and see, how
# magnification should be handled correctly.
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)
fc = self.figure.get_facecolor()
im.set_bg(*mcolors.colorConverter.to_rgba(fc, 0))
im.is_grayscale = (self.cmap.name == "gray"
and len(self._A.shape) == 2)
if self.origin == 'upper':
im.flipud_out()
return im
def draw_tex(self, gc, x, y, s, prop, angle):
# todo, handle props, angle, origins
rgb = gc.get_rgb()
size = prop.get_size_in_points()
dpi = self.dpi.get()
flip = angle==90
w,h,d = self.get_text_width_height_descent(s, prop, 'TeX', rgb)
if flip:
w,h = h,w
x -= w
texmanager = self.get_texmanager()
key = s, size, dpi, rgb, angle, texmanager.get_font_config()
im = self.texd.get(key)
if im is None:
Z = texmanager.get_rgba(s, size, dpi, rgb)
if flip:
r = Z[:,:,0]
g = Z[:,:,1]
b = Z[:,:,2]
a = Z[:,:,3]
m,n,tmp = Z.shape
def func(x):
return npy.transpose(npy.fliplr(x))
Z = npy.zeros((n,m,4), float)
Z[:,:,0] = func(r)
Z[:,:,1] = func(g)
Z[:,:,2] = func(b)
Z[:,:,3] = func(a)
im = fromarray(Z, 1)
im.flipud_out()
self.texd[key] = im
cliprect = gc.get_clip_rectangle()
if cliprect is None: bbox = None
else: bbox = lbwh_to_bbox(*cliprect)
self.draw_image(x, self.height-y, im, bbox)
def draw_tex(self, gc, x, y, s, prop, angle):
# todo, handle props, angle, origins
rgb = gc.get_rgb()
size = prop.get_size_in_points()
dpi = self.dpi.get()
flip = angle == 90
w, h = self.get_text_width_height(s, prop, 'TeX', rgb)
if flip:
w, h = h, w
x -= w
texmanager = self.get_texmanager()
key = s, size, dpi, rgb, angle, texmanager.get_font_config()
im = self.texd.get(key)
if im is None:
Z = texmanager.get_rgba(s, size, dpi, rgb)
if flip:
r = Z[:, :, 0]
g = Z[:, :, 1]
b = Z[:, :, 2]
a = Z[:, :, 3]
m, n, tmp = Z.shape
def func(x):
return transpose(fliplr(x))
Z = zeros((n, m, 4), typecode=Float)
Z[:, :, 0] = func(r)
Z[:, :, 1] = func(g)
Z[:, :, 2] = func(b)
Z[:, :, 3] = func(a)
im = fromarray(Z, 1)
im.flipud_out()
self.texd[key] = im
cliprect = gc.get_clip_rectangle()
if cliprect is None: bbox = None
else: bbox = lbwh_to_bbox(*cliprect)
self.draw_image(x, self.height - y, im, bbox)
def draw_tex(self, gc, x, y, s, prop, angle):
# todo, handle props, angle, origins
rgb = gc.get_rgb()
size = prop.get_size_in_points()
dpi = self.dpi.get()
flip = angle == 90
w, h = self.get_text_width_height(s, prop, 'TeX', rgb)
if flip:
w, h = h, w
x -= w
key = s, size, dpi, rgb
im = self.texd.get(key)
if im is None:
Z = self.texmanager.get_rgba(s, size, dpi, rgb)
if flip:
r = Z[:, :, 0]
g = Z[:, :, 1]
b = Z[:, :, 2]
a = Z[:, :, 3]
m, n, tmp = Z.shape
def func(x):
return transpose(fliplr(x))
Z = zeros((n, m, 4), typecode=Float)
Z[:, :, 0] = func(r)
Z[:, :, 1] = func(g)
Z[:, :, 2] = func(b)
Z[:, :, 3] = func(a)
im = fromarray(Z, 1)
self.texd[key] = im
self.draw_image(x, y - h, im, 'upper', self.bbox)
def draw_tex(self, gc, x, y, s, prop, angle):
# todo, handle props, angle, origins
rgb = gc.get_rgb()
size = prop.get_size_in_points()
dpi = self.dpi.get()
flip = angle==90
w,h = self.get_text_width_height(s, prop, 'TeX', rgb)
if flip:
w,h = h,w
x -= w
key = s, size, dpi, rgb
im = self.texd.get(key)
if im is None:
Z = self.texmanager.get_rgba(s, size, dpi, rgb)
if flip:
r = Z[:,:,0]
g = Z[:,:,1]
b = Z[:,:,2]
a = Z[:,:,3]
m,n,tmp = Z.shape
def func(x):
return transpose(fliplr(x))
Z = zeros((n,m,4), typecode=Float)
Z[:,:,0] = func(r)
Z[:,:,1] = func(g)
Z[:,:,2] = func(b)
Z[:,:,3] = func(a)
im = fromarray(Z, 1)
self.texd[key] = im
self.draw_image(x, y-h, im, 'upper', self.bbox)
def _get_unsampled_image(self, A, image_extents, viewlim):
"""
convert numpy array A with given extents ([x1, x2, y1, y2] in
data coordinate) into the Image, given the vielim (should be a
bbox instance). Image will be clipped if the extents is
significantly larger than the viewlim.
"""
xmin, xmax, ymin, ymax = image_extents
dxintv = xmax-xmin
dyintv = ymax-ymin
sx = dxintv/viewlim.width
sy = dyintv/viewlim.height
numrows, numcols = A.shape[:2]
if sx > 2:
x0 = (viewlim.x0-xmin)/dxintv * numcols
ix0 = max(0, int(x0 - self._filterrad))
x1 = (viewlim.x1-xmin)/dxintv * numcols
ix1 = min(numcols, int(x1 + self._filterrad))
xslice = slice(ix0, ix1)
xmin_old = xmin
xmin = xmin_old + ix0*dxintv/numcols
xmax = xmin_old + ix1*dxintv/numcols
dxintv = xmax - xmin
sx = dxintv/viewlim.width
else:
xslice = slice(0, numcols)
if sy > 2:
y0 = (viewlim.y0-ymin)/dyintv * numrows
iy0 = max(0, int(y0 - self._filterrad))
y1 = (viewlim.y1-ymin)/dyintv * numrows
iy1 = min(numrows, int(y1 + self._filterrad))
if self.origin == 'upper':
yslice = slice(numrows-iy1, numrows-iy0)
else:
yslice = slice(iy0, iy1)
ymin_old = ymin
ymin = ymin_old + iy0*dyintv/numrows
ymax = ymin_old + iy1*dyintv/numrows
dyintv = ymax - ymin
sy = dyintv/viewlim.height
else:
yslice = slice(0, numrows)
if xslice != self._oldxslice or yslice != self._oldyslice:
self._imcache = None
self._oldxslice = xslice
self._oldyslice = yslice
if self._imcache is None:
if self._A.dtype == np.uint8 and len(self._A.shape) == 3:
im = _image.frombyte(self._A[yslice,xslice,:], 0)
im.is_grayscale = False
else:
if self._rgbacache is None:
x = self.to_rgba(self._A, self._alpha)
self._rgbacache = x
else:
x = self._rgbacache
im = _image.fromarray(x[yslice,xslice], 0)
if len(self._A.shape) == 2:
im.is_grayscale = self.cmap.is_gray()
else:
im.is_grayscale = False
self._imcache = im
if self.origin=='upper':
im.flipud_in()
else:
im = self._imcache
return im, xmin, ymin, dxintv, dyintv, sx, sy
def _get_unsampled_image(self, A, image_extents, viewlim):
"""
convert numpy array A with given extents ([x1, x2, y1, y2] in
data coordinate) into the Image, given the vielim (should be a
bbox instance). Image will be clipped if the extents is
significantly larger than the viewlim.
"""
xmin, xmax, ymin, ymax = image_extents
dxintv = xmax - xmin
dyintv = ymax - ymin
# the viewport scale factor
if viewlim.width == 0.0 and dxintv == 0.0:
sx = 1.0
else:
sx = dxintv / viewlim.width
if viewlim.height == 0.0 and dyintv == 0.0:
sy = 1.0
else:
sy = dyintv / viewlim.height
numrows, numcols = A.shape[:2]
if sx > 2:
x0 = (viewlim.x0 - xmin) / dxintv * numcols
ix0 = max(0, int(x0 - self._filterrad))
x1 = (viewlim.x1 - xmin) / dxintv * numcols
ix1 = min(numcols, int(x1 + self._filterrad))
xslice = slice(ix0, ix1)
xmin_old = xmin
xmin = xmin_old + ix0 * dxintv / numcols
xmax = xmin_old + ix1 * dxintv / numcols
dxintv = xmax - xmin
sx = dxintv / viewlim.width
else:
xslice = slice(0, numcols)
if sy > 2:
y0 = (viewlim.y0 - ymin) / dyintv * numrows
iy0 = max(0, int(y0 - self._filterrad))
y1 = (viewlim.y1 - ymin) / dyintv * numrows
iy1 = min(numrows, int(y1 + self._filterrad))
if self.origin == 'upper':
yslice = slice(numrows - iy1, numrows - iy0)
else:
yslice = slice(iy0, iy1)
ymin_old = ymin
ymin = ymin_old + iy0 * dyintv / numrows
ymax = ymin_old + iy1 * dyintv / numrows
dyintv = ymax - ymin
sy = dyintv / viewlim.height
else:
yslice = slice(0, numrows)
if xslice != self._oldxslice or yslice != self._oldyslice:
self._imcache = None
self._oldxslice = xslice
self._oldyslice = yslice
if self._imcache is None:
if self._A.dtype == np.uint8 and len(self._A.shape) == 3:
im = _image.frombyte(self._A[yslice, xslice, :], 0)
im.is_grayscale = False
else:
if self._rgbacache is None:
x = self.to_rgba(self._A, self._alpha)
self._rgbacache = x
else:
x = self._rgbacache
im = _image.fromarray(x[yslice, xslice], 0)
if len(self._A.shape) == 2:
im.is_grayscale = self.cmap.is_gray()
else:
im.is_grayscale = False
self._imcache = im
if self.origin == 'upper':
im.flipud_in()
else:
im = self._imcache
return im, xmin, ymin, dxintv, dyintv, sx, sy
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array or the image attribute')
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
numrows, numcols = self._A.shape[:2]
if sx > 2:
x0 = (self.axes.viewLim.x0-xmin)/dxintv * numcols
ix0 = max(0, int(x0 - self._filterrad))
x1 = (self.axes.viewLim.x1-xmin)/dxintv * numcols
ix1 = min(numcols, int(x1 + self._filterrad))
xslice = slice(ix0, ix1)
xmin_old = xmin
xmin = xmin_old + ix0*dxintv/numcols
xmax = xmin_old + ix1*dxintv/numcols
dxintv = xmax - xmin
sx = dxintv/self.axes.viewLim.width
else:
xslice = slice(0, numcols)
if sy > 2:
y0 = (self.axes.viewLim.y0-ymin)/dyintv * numrows
iy0 = max(0, int(y0 - self._filterrad))
y1 = (self.axes.viewLim.y1-ymin)/dyintv * numrows
iy1 = min(numrows, int(y1 + self._filterrad))
if self.origin == 'upper':
yslice = slice(numrows-iy1, numrows-iy0)
else:
yslice = slice(iy0, iy1)
ymin_old = ymin
ymin = ymin_old + iy0*dyintv/numrows
ymax = ymin_old + iy1*dyintv/numrows
dyintv = ymax - ymin
sy = dyintv/self.axes.viewLim.height
else:
yslice = slice(0, numrows)
if xslice != self._oldxslice or yslice != self._oldyslice:
self._imcache = None
self._oldxslice = xslice
self._oldyslice = yslice
if self._imcache is None:
if self._A.dtype == np.uint8 and len(self._A.shape) == 3:
im = _image.frombyte(self._A[yslice,xslice,:], 0)
im.is_grayscale = False
else:
if self._rgbacache is None:
x = self.to_rgba(self._A, self._alpha)
self._rgbacache = x
else:
x = self._rgbacache
im = _image.fromarray(x[yslice,xslice], 0)
if len(self._A.shape) == 2:
im.is_grayscale = self.cmap.is_gray()
else:
im.is_grayscale = False
self._imcache = im
if self.origin=='upper':
im.flipud_in()
else:
im = self._imcache
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg( *bg)
# image input dimensions
im.reset_matrix()
numrows, numcols = im.get_size()
im.set_interpolation(self._interpd[self._interpolation])
im.set_resample(self._resample)
# the viewport translation
tx = (xmin-self.axes.viewLim.x0)/dxintv * numcols
ty = (ymin-self.axes.viewLim.y0)/dyintv * numrows
l, b, r, t = self.axes.bbox.extents
widthDisplay = (round(r) + 0.5) - (round(l) - 0.5)
heightDisplay = (round(t) + 0.5) - (round(b) - 0.5)
widthDisplay *= magnification
heightDisplay *= magnification
im.apply_translation(tx, ty)
# resize viewport to display
rx = widthDisplay / numcols
ry = heightDisplay / numrows
im.apply_scaling(rx*sx, ry*sy)
im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5),
norm=self._filternorm, radius=self._filterrad)
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError('You must first set the image array or the image attribute')
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
numrows, numcols = self._A.shape[:2]
if sx > 2:
x0 = (self.axes.viewLim.x0-xmin)/dxintv * numcols
ix0 = max(0, int(x0 - self._filterrad))
x1 = (self.axes.viewLim.x1-xmin)/dxintv * numcols
ix1 = min(numcols, int(x1 + self._filterrad))
xslice = slice(ix0, ix1)
xmin_old = xmin
xmin = xmin_old + ix0*dxintv/numcols
xmax = xmin_old + ix1*dxintv/numcols
dxintv = xmax - xmin
sx = dxintv/self.axes.viewLim.width
else:
xslice = slice(0, numcols)
if sy > 2:
y0 = (self.axes.viewLim.y0-ymin)/dyintv * numrows
iy0 = max(0, int(y0 - self._filterrad))
y1 = (self.axes.viewLim.y1-ymin)/dyintv * numrows
iy1 = min(numrows, int(y1 + self._filterrad))
if self.origin == 'upper':
yslice = slice(numrows-iy1, numrows-iy0)
else:
yslice = slice(iy0, iy1)
ymin_old = ymin
ymin = ymin_old + iy0*dyintv/numrows
ymax = ymin_old + iy1*dyintv/numrows
dyintv = ymax - ymin
sy = dyintv/self.axes.viewLim.height
else:
yslice = slice(0, numrows)
if xslice != self._oldxslice or yslice != self._oldyslice:
self._imcache = None
self._oldxslice = xslice
self._oldyslice = yslice
if self._imcache is None:
if self._A.dtype == np.uint8 and len(self._A.shape) == 3:
im = _image.frombyte(self._A[yslice,xslice,:], 0)
im.is_grayscale = False
else:
if self._rgbacache is None:
x = self.to_rgba(self._A, self._alpha)
self._rgbacache = x
else:
x = self._rgbacache
im = _image.fromarray(x[yslice,xslice], 0)
if len(self._A.shape) == 2:
im.is_grayscale = self.cmap.is_gray()
else:
im.is_grayscale = False
self._imcache = im
if self.origin=='upper':
im.flipud_in()
else:
im = self._imcache
fc = self.axes.patch.get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg( *bg)
# image input dimensions
im.reset_matrix()
numrows, numcols = im.get_size()
if numrows < 1 or numcols < 1: # out of range
return None
im.set_interpolation(self._interpd[self._interpolation])
im.set_resample(self._resample)
# the viewport translation
tx = (xmin-self.axes.viewLim.x0)/dxintv * numcols
ty = (ymin-self.axes.viewLim.y0)/dyintv * numrows
l, b, r, t = self.axes.bbox.extents
widthDisplay = (round(r*magnification) + 0.5) - (round(l*magnification) - 0.5)
heightDisplay = (round(t*magnification) + 0.5) - (round(b*magnification) - 0.5)
im.apply_translation(tx, ty)
# resize viewport to display
rx = widthDisplay / numcols
ry = heightDisplay / numrows
im.apply_scaling(rx*sx, ry*sy)
im.resize(int(widthDisplay+0.5), int(heightDisplay+0.5),
norm=self._filternorm, radius=self._filterrad)
return im
def make_image(self, magnification=1.0):
if self._A is None:
raise RuntimeError(
'You must first set the image array or the image attribute')
if self._imcache is None:
if self._A.dtype == npy.uint8 and len(self._A.shape) == 3:
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
if self.origin == 'upper':
im.flipud_in()
else:
im = self._imcache
fc = self.axes.get_frame().get_facecolor()
bg = mcolors.colorConverter.to_rgba(fc, 0)
im.set_bg(*bg)
# image input dimensions
im.reset_matrix()
numrows, numcols = im.get_size()
im.set_interpolation(self._interpd[self._interpolation])
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
ty = (ymin - self.axes.viewLim.ymin()) / dyintv * numrows
l, b, widthDisplay, heightDisplay = self.axes.bbox.get_bounds()
widthDisplay *= magnification
heightDisplay *= magnification
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)
im.resize(int(widthDisplay + 0.5),
int(heightDisplay + 0.5),
norm=self._filternorm,
radius=self._filterrad)
return im