def imshow(data, title=None, hold=False):
dlg = ImageDialog(wintitle=title)
dlg.get_plot().add_item(make.image(data))
if hold:
dlg.show()
else:
dlg.exec_()
def imshow(items, title=""):
gridparam = make.gridparam(background="black",
minor_enabled=(False, False),
major_style=(".", "gray", 1))
win = ImageDialog(edit=False,
toolbar=True,
wintitle=title,
options=dict(gridparam=gridparam))
nc = int(np.sqrt(len(items)) + 1.0)
maxy = 0
y = 0
x = 0
w = None
plot = win.get_plot()
print("-" * 80)
for i, item in enumerate(items):
h = item.boundingRect().height()
if i % nc == 0:
x = 0
y += maxy
maxy = h
else:
x += w
maxy = max(maxy, h)
w = item.boundingRect().width()
item.set_transform(x, y, 0.0)
print("Adding item #%d..." % i, end=' ')
plot.add_item(item)
print("Done")
win.show()
win.exec_()
def test():
win = ImageDialog(edit=True,
toolbar=True,
wintitle="Sample multi-polygon item")
plot = win.get_plot()
plot.set_aspect_ratio(lock=True)
plot.set_antialiasing(False)
plot.set_axis_direction('left', False)
plot.set_axis_title("bottom", "Lon")
plot.set_axis_title("left", "Lat")
points = []
offsets = zeros((NCIRC, 2), int32)
colors = zeros((NCIRC, 2), uint32)
npts = 0
for k in range(NCIRC):
pts = create_circle()
offsets[k, 0] = k
offsets[k, 1] = npts
npts += pts.shape[0]
points.append(pts)
colors[k, 0] = COLORS[k % len(COLORS)][0]
colors[k, 1] = COLORS[(3 * k) % len(COLORS)][1]
points = concatenate(points)
print(NCIRC, "Polygons")
print(points.shape[0], "Points")
crv = PolygonMapItem()
crv.set_data(points, offsets, colors)
plot.add_item(crv, z=0)
win.show()
win.exec_()
def test():
win = ImageDialog(edit=True, toolbar=True,
wintitle="Sample multi-polygon item")
plot = win.get_plot()
plot.set_aspect_ratio(lock=True)
plot.set_antialiasing(False)
plot.set_axis_direction('left', False)
plot.set_axis_title("bottom", "Lon")
plot.set_axis_title("left", "Lat")
points = []
offsets = zeros( (NCIRC, 2), int32)
colors = zeros( (NCIRC, 2), uint32)
npts = 0
for k in range(NCIRC):
pts = create_circle()
offsets[k, 0] = k
offsets[k, 1] = npts
npts += pts.shape[0]
points.append(pts)
colors[k, 0] = COLORS[k%len(COLORS)][0]
colors[k, 1] = COLORS[(3*k)%len(COLORS)][1]
points = concatenate(points)
print(NCIRC, "Polygons")
print(points.shape[0], "Points")
crv = PolygonMapItem()
crv.set_data(points, offsets, colors)
plot.add_item(crv, z=0)
win.show()
win.exec_()
def imshow(filename):
win = ImageDialog(edit=False, toolbar=True, wintitle="RGB image item test")
item = make.rgbimage(filename=filename, xdata=[-1, 1], ydata=[-1, 1])
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def imshow(filename):
win = ImageDialog(edit=False, toolbar=True, wintitle="RGB image item test")
item = make.rgbimage(filename=filename, xdata=[-1, 1], ydata=[-1, 1])
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def imshow(data, title=None, hold=False):
dlg = ImageDialog(wintitle=title)
dlg.get_plot().add_item(make.image(data))
if hold:
dlg.show()
else:
dlg.exec_()
def imshow( data ):
win = ImageDialog(edit=False, toolbar=True, wintitle="ImageDialog test",
options=dict(xlabel='Concentration', xunit='ppm'))
item = make.image(data)
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def imshow( items ):
win = ImageDialog(edit=False, toolbar=True, options={"yreverse": False},
wintitle="Pcolor test")
plot = win.get_plot()
for item in items:
plot.add_item(item)
win.show()
win.exec_()
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(data):
win = ImageDialog(edit=False,
toolbar=True,
wintitle="ImageDialog test",
options=dict(xlabel='Concentration', xunit='ppm'))
item = make.image(data)
plot = win.get_plot()
plot.add_item(item)
win.show()
win.exec_()
def mandel():
win = ImageDialog(edit=True, toolbar=True, wintitle="Mandelbrot",
options=dict(yreverse=False))
mandel = MandelItem(-1.5, .5, -1., 1.)
win.add_tool(FullScale, mandel)
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.add_item(mandel)
plot.set_full_scale(mandel)
win.show()
win.exec_()
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 mandel():
win = ImageDialog(edit=True,
toolbar=True,
wintitle="Mandelbrot",
options=dict(yreverse=False))
mandel = MandelItem(-1.5, .5, -1., 1.)
win.add_tool(FullScale, mandel)
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.add_item(mandel)
plot.set_full_scale(mandel)
win.show()
win.exec_()
def hist2d(X, Y):
win = ImageDialog(edit=True, toolbar=True,
wintitle="2-D Histogram X0=(0,1), X1=(-1,-1)")
hist2d = make.histogram2D(X, Y, 200, 200)
curve = make.curve(X[::50], Y[::50],
linestyle='', marker='+', title=_("Markers"))
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.set_antialiasing(False)
plot.add_item(hist2d)
plot.add_item(curve)
plot.set_item_visible(curve, False)
win.show()
win.exec_()
def xyimagebug(offset):
from plotpy.plot import ImageDialog
from plotpy.builder import make
import numpy
import plotpy
app = plotpy.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 hist2d(X, Y):
win = ImageDialog(edit=True,
toolbar=True,
wintitle="2-D Histogram X0=(0,1), X1=(-1,-1)")
hist2d = make.histogram2D(X, Y, 200, 200)
curve = make.curve(X[::50],
Y[::50],
linestyle='',
marker='+',
title=_("Markers"))
plot = win.get_plot()
plot.set_aspect_ratio(lock=False)
plot.set_antialiasing(False)
plot.add_item(hist2d)
plot.add_item(curve)
plot.set_item_visible(curve, False)
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 test():
"""Test"""
# -- Create QApplication
import plotpy
_app = plotpy.qapplication()
# --
filename = osp.join(osp.dirname(__file__), "brain.png")
image = make.image(filename=filename, title="Original", colormap='gray')
win = ImageDialog(edit=False, toolbar=True, wintitle="Contrast test",
options=dict(show_contrast=True))
plot = win.get_plot()
plot.add_item(image)
win.resize(600, 600)
win.show()
try:
plot.save_widget('contrast.png')
except IOError:
# Skipping this part of the test
# because user has no write permission on current directory
pass
win.exec_()
def get_segment(item):
"""Show image and return selected segment coordinates"""
win = ImageDialog(_("Select a segment then press OK to accept"), edit=True)
default = win.add_tool(SelectTool)
win.set_default_tool(default)
segtool = win.add_tool(AnnotatedSegmentTool, title="Test",
switch_to_default_tool=True)
segtool.activate()
plot = win.get_plot()
plot.add_item(item)
plot.set_active_item(item)
win.show()
if win.exec_():
shape = segtool.get_last_final_shape()
return shape.get_rect()
def test():
"""Test"""
# -- Create QApplication
import plotpy
_app = plotpy.qapplication()
# --
filename = osp.join(osp.dirname(__file__), "brain.png")
image = make.image(filename=filename, title="Original", colormap='gray')
win = ImageDialog(edit=False,
toolbar=True,
wintitle="Contrast test",
options=dict(show_contrast=True))
plot = win.get_plot()
plot.add_item(image)
win.resize(600, 600)
win.show()
try:
plot.save_widget('contrast.png')
except IOError:
# Skipping this part of the test
# because user has no write permission on current directory
pass
win.exec_()
import os, os.path as osp, pickle
from plotpy.plot import ImageDialog
from plotpy.tools import ImageMaskTool
from plotpy.builder import make
SHOW = True # Show test in GUI-based test launcher
FNAME = "image_masked.pickle"
if __name__ == "__main__":
import plotpy
_app = plotpy.qapplication()
win = ImageDialog(toolbar=True, wintitle="Masked image item test")
win.add_tool(ImageMaskTool)
if os.access(FNAME, os.R_OK):
print("Restoring mask...", end=' ')
iofile = open(FNAME, "rb")
image = pickle.load(iofile)
iofile.close()
print("OK")
else:
fname = osp.join(osp.abspath(osp.dirname(__file__)), "brain.png")
image = make.maskedimage(filename=fname, colormap='gray',
show_mask=True, xdata=[0, 20], ydata=[0, 25])
win.get_plot().add_item(image)
win.show()
win.exec_()
iofile = open(FNAME, "wb")
pickle.dump(image, iofile)
from plotpy.tools import ImageMaskTool
from plotpy.builder import make
SHOW = True # Show test in GUI-based test launcher
FNAME = "image_masked.pickle"
if __name__ == "__main__":
import plotpy
_app = plotpy.qapplication()
win = ImageDialog(toolbar=True, wintitle="Masked image item test")
win.add_tool(ImageMaskTool)
if os.access(FNAME, os.R_OK):
print("Restoring mask...", end=' ')
iofile = open(FNAME, "rb")
image = pickle.load(iofile)
iofile.close()
print("OK")
else:
fname = osp.join(osp.abspath(osp.dirname(__file__)), "brain.png")
image = make.maskedimage(filename=fname,
colormap='gray',
show_mask=True,
xdata=[0, 20],
ydata=[0, 25])
win.get_plot().add_item(image)
win.show()
win.exec_()
iofile = open(FNAME, "wb")
pickle.dump(image, iofile)