def imshow(self, x, y, data, title=None, cmap="RdYlGn"):
"""
Create 2D xyimage for guiqwt image dialog
Returns
--------
plot : guiqwt.image.ImagePlot
Plot widget in guiqwt ImageDialog
image : guiqwt.image.XYImageItem
Newly created image object
"""
from guiqwt.builder import make
image = make.xyimage(
x,
y,
data,
interpolation="nearest",
title=title,
)
plot = self.win.get_plot()
plot.add_item(image)
plot.do_autoscale()
plot.replot()
image.set_color_map(cmap)
image.measurement = None
return plot, image
def replot_measurement(self):
"""
Recreate theimage for the currently selected image. Taking into account
any changed operations. Called when operations_widget.operations_changed
is emitted
"""
plot_item, plot_item_idx = self._get_current_plot_item()
if plot_item is None:
return False
m = plot_item.measurement
m.operations = self.operations_widget.get_operations()
m.process()
# recreate the image (this handles sorting of data and other bla)
from guiqwt.builder import make
image = make.xyimage(m.X[:, 0],
m.Y[0, :],
m.Z.T,
interpolation="nearest",
title=m.metadata["title"])
# update image to the new data values
plot_item.set_data(image.data)
plot_item.set_xy(image.x, image.y)
plot_item.plot().replot()
def setup_widget(self):
self.plot = ImagePlot(self)
self.image = make.xyimage(self.x, self.y, self.data, colormap='jet')
self.plot.add_item(self.image)
self.plot.set_antialiasing(True)
vlayout = QVBoxLayout()
vlayout.addWidget(self.plot)
self.setLayout(vlayout)
def imshow( x, y, data ):
win = ImageDialog(edit=False, toolbar=True,
wintitle="Image with custom X/Y axes scales",
options=dict(xlabel="x (a.u.)", ylabel="y (a.u.)",
yreverse=False))
item = make.xyimage(x, y, data)
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def imshow(x, y, data, filter_area, yreverse=True):
win = ImageDialog(edit=False, toolbar=True, wintitle="Image filter demo",
options=dict(xlabel="x (cm)", ylabel="y (cm)",
yreverse=yreverse))
image = make.xyimage(x, y, data)
plot = win.get_plot()
plot.add_item(image)
xmin, xmax, ymin, ymax = filter_area
flt = make.imagefilter(xmin, xmax, ymin, ymax, image,
filter=lambda x, y, data: gaussian_filter(data, 5))
plot.add_item(flt, z=1)
plot.replot()
win.show()
win.exec_()
def xyimagebug(offset):
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
import numpy
import guidata
app = guidata.qapplication()
data = numpy.random.rand(100, 100)
x = numpy.arange(100)+offset
y = numpy.arange(100)
image = make.xyimage(x, y, data=data)
win = ImageDialog()
plot = win.get_plot()
plot.add_item(image)
plot.select_item(image) #this helps in seeing where the image should be
win.exec_()
def xyimagebug(offset):
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
import numpy
import guidata
app = guidata.qapplication()
data = numpy.random.rand(100, 100)
x = numpy.arange(100)+offset
y = numpy.arange(100)
image = make.xyimage(x, y, data=data)
win = ImageDialog()
plot = win.get_plot()
plot.add_item(image)
plot.select_item(image) #this helps in seeing where the image should be
win.exec_()
def plotImage(x,y,z,wintitle="Contour Plot",options={"lock_aspect_ratio":False,"yreverse":False}):
options.update(dict(show_xsection=True, show_ysection=True))
"""Test"""
# -- Create QApplication
_app = guidata.qapplication()
# --
win = ImageDialog(edit=True, toolbar=True, wintitle=wintitle,
options=options)
win.resize(1500, 1000)
item = make.xyimage(x, y, z,interpolation="linear")
plot = win.get_plot()
plot.add_item(item)
win.plot_widget.xcsw_splitter.setSizes([400,600])
win.show()
return win
def setup_widget(self):
self.plot = ImagePlot(self)
self.image = make.xyimage(self.x, self.y, self.data, colormap='jet')
self.plot.add_item(self.image)
self.plot.set_antialiasing(True)
#--- levels ?
for i in range(8):
x = self.level_xy[i][0]
y = self.level_xy[i][1]
self.levels.append(make.curve(x, y, color="w"))
self.plot.add_item(self.levels[-1])
#----------------------
vlayout = QVBoxLayout()
vlayout.addWidget(self.plot)
self.setLayout(vlayout)
self.plot.adjustSize()
def imshow(x, y, data, filter_area, yreverse=True):
win = ImageDialog(edit=False,
toolbar=True,
wintitle="Image filter demo",
options=dict(xlabel="x (cm)",
ylabel="y (cm)",
yreverse=yreverse))
image = make.xyimage(x, y, data)
plot = win.get_plot()
plot.add_item(image)
xmin, xmax, ymin, ymax = filter_area
flt = make.imagefilter(xmin,
xmax,
ymin,
ymax,
image,
filter=lambda x, y, data: gaussian_filter(data, 5))
plot.add_item(flt, z=1)
plot.replot()
win.show()
win.exec_()
def plotImage(x,
y,
z,
wintitle="Contour Plot",
options={
"lock_aspect_ratio": False,
"yreverse": False
}):
options.update(dict(show_xsection=True, show_ysection=True))
"""Test"""
# -- Create QApplication
_app = guidata.qapplication()
# --
win = ImageDialog(edit=True,
toolbar=True,
wintitle=wintitle,
options=options)
win.resize(1500, 1000)
item = make.xyimage(x, y, z, interpolation="linear")
plot = win.get_plot()
plot.add_item(item)
win.plot_widget.xcsw_splitter.setSizes([400, 600])
win.show()
return win
