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# -*- coding: utf-8 -*-
#
# Copyright © 2009-2010 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
"""Image with custom X/Y axes linear scales"""
SHOW = True # Show test in GUI-based test launcher
from guiqwt.plot import ImageDialog
from guiqwt.builder import make
import numpy as np
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 compute_image():
N = 2000
T = np.float32
x = np.array(np.linspace(-5, 5, N), T)
img = np.zeros( (N, N), T )
x.shape = (1, N)
img += x**2
x.shape = (N, 1)
img += x**2
img = np.cos(img)
x.shape = (N,)
for k in range( -5, 5 ):
i = x.searchsorted(k)
if k < 0 :
v = -1.1
else:
v = 1.1
img[i, :] = v
img[:, i] = v
m1, m2, m3, m4 = -1.1, -0.3, 0.3, 1.1
K = 100
img[:K, :K] = m1 # (0,0)
img[:K, -K:] = m2 # (0,N)
img[-K:, -K:] = m3 # (N,N)
img[-K:, :K] = m4 # (N,0)
#img = array( 30000*(img+1.1), uint16 )
img = img + np.random.normal(0., 0.05, size=(N,N))
print img.dtype
return x, (x+5)**0.6, img
def test():
"""Test"""
# -- Create QApplication
import guidata
_app = guidata.qapplication()
# --
imshow(*compute_image())
if __name__ == "__main__":
test()
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