def get_plot_average_y_section(obj, apply_lut=False):
"""
Return cross section along y-axis, averaged on ROI defined by 'obj'
'obj' is an AbstractShape object supporting the 'get_rect' method
(RectangleShape, AnnotatedRectangle, etc.)
"""
x0, y0, x1, y1 = obj.get_rect()
xc0, yc0 = axes_to_canvas(obj, x0, y0)
xc1, yc1 = axes_to_canvas(obj, x1, y1)
invert = False
ydir = obj.plot().get_axis_direction("left")
if (ydir and yc0 > yc1) or (not ydir and yc0 < yc1):
invert = True
yc1, yc0 = yc0, yc1
if xc0 > xc1:
xc1, xc0 = xc0, xc1
try:
data = get_image_from_qrect(obj.plot(),
QPoint(xc0, yc0),
QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=1)
x = np.linspace(y0, y1, len(y))
if invert:
x = x[::-1]
return x, y
def get_plot_average_y_section(obj, apply_lut=False):
"""
Return cross section along y-axis, averaged on ROI defined by 'obj'
'obj' is an AbstractShape object supporting the 'get_rect' method
(RectangleShape, AnnotatedRectangle, etc.)
"""
x0, y0, x1, y1 = obj.get_rect()
xc0, yc0 = axes_to_canvas(obj, x0, y0)
xc1, yc1 = axes_to_canvas(obj, x1, y1)
invert = False
ydir = obj.plot().get_axis_direction("left")
if (ydir and yc0 > yc1) or (not ydir and yc0 < yc1):
invert = True
yc1, yc0 = yc0, yc1
if xc0 > xc1:
xc1, xc0 = xc0, xc1
try:
data = get_image_from_qrect(obj.plot(),
QPoint(xc0, yc0), QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=1)
x = np.linspace(y0, y1, len(y))
if invert:
x = x[::-1]
return x, y
def get_plot_x_section(obj, apply_lut=False):
"""
Return plot cross section along x-axis,
at the y value defined by 'obj', a Marker/AnnotatedPoint object
"""
_x0, y0 = get_object_coordinates(obj)
plot = obj.plot()
xmap = plot.canvasMap(plot.X_BOTTOM)
xc0, xc1 = xmap.p1(), xmap.p2()
_xc0, yc0 = axes_to_canvas(obj, 0, y0)
if plot.get_axis_direction("left"):
yc1 = yc0+1
else:
yc1 = yc0-1
try:
#TODO: eventually add an option to apply interpolation algorithm
data = get_image_from_qrect(plot, QPoint(xc0, yc0), QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=0)
x0, _y0 = canvas_to_axes(obj, QPoint(xc0, yc0))
x1, _y1 = canvas_to_axes(obj, QPoint(xc1, yc1))
x = np.linspace(x0, x1, len(y))
return x, y
def get_plot_y_section(obj, apply_lut=False):
"""
Return plot cross section along y-axis,
at the x value defined by 'obj', a Marker/AnnotatedPoint object
"""
x0, _y0 = get_object_coordinates(obj)
plot = obj.plot()
ymap = plot.canvasMap(plot.Y_LEFT)
yc0, yc1 = ymap.p1(), ymap.p2()
if plot.get_axis_direction("left"):
yc1, yc0 = yc0, yc1
xc0, _yc0 = axes_to_canvas(obj, x0, 0)
xc1 = xc0 + 1
try:
data = get_image_from_qrect(plot,
QPoint(xc0, yc0),
QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=1)
_x0, y0 = canvas_to_axes(obj, QPoint(xc0, yc0))
_x1, y1 = canvas_to_axes(obj, QPoint(xc1, yc1))
x = np.linspace(y0, y1, len(y))
return x, y
def get_plot_x_section(obj, apply_lut=False):
"""
Return plot cross section along x-axis,
at the y value defined by 'obj', a Marker/AnnotatedPoint object
"""
_x0, y0 = get_object_coordinates(obj)
plot = obj.plot()
xmap = plot.canvasMap(plot.X_BOTTOM)
xc0, xc1 = xmap.p1(), xmap.p2()
_xc0, yc0 = axes_to_canvas(obj, 0, y0)
if plot.get_axis_direction("left"):
yc1 = yc0 + 1
else:
yc1 = yc0 - 1
try:
#TODO: eventually add an option to apply interpolation algorithm
data = get_image_from_qrect(plot,
QPoint(xc0, yc0),
QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=0)
x0, _y0 = canvas_to_axes(obj, QPoint(xc0, yc0))
x1, _y1 = canvas_to_axes(obj, QPoint(xc1, yc1))
x = np.linspace(x0, x1, len(y))
return x, y
def get_plot_y_section(obj, apply_lut=False):
"""
Return plot cross section along y-axis,
at the x value defined by 'obj', a Marker/AnnotatedPoint object
"""
x0, _y0 = get_object_coordinates(obj)
plot = obj.plot()
ymap = plot.canvasMap(plot.Y_LEFT)
yc0, yc1 = ymap.p1(), ymap.p2()
if plot.get_axis_direction("left"):
yc1, yc0 = yc0, yc1
xc0, _yc0 = axes_to_canvas(obj, x0, 0)
xc1 = xc0+1
try:
data = get_image_from_qrect(plot, QPoint(xc0, yc0), QPoint(xc1, yc1),
apply_lut=apply_lut,
apply_interpolation=False)
except (ValueError, ZeroDivisionError, TypeError):
return np.array([]), np.array([])
y = data.mean(axis=1)
_x0, y0 = canvas_to_axes(obj, QPoint(xc0, yc0))
_x1, y1 = canvas_to_axes(obj, QPoint(xc1, yc1))
x = np.linspace(y0, y1, len(y))
return x, y
def compute_positions(self):
from guiqwt.baseplot import axes_to_canvas
pos1 = QPoint(*axes_to_canvas(self.obj, *self.coords1))
pos2 = QPoint(*axes_to_canvas(self.obj, *self.coords2))
return pos1, pos2
def compute_positions(self):
from guiqwt.baseplot import axes_to_canvas
pos1 = QPoint(*axes_to_canvas(self.obj, *self.coords1))
pos2 = QPoint(*axes_to_canvas(self.obj, *self.coords2))
return pos1, pos2
