def show_image_with_edges(im, splines, img, debug):
if debug:
print('plotting the extracted spectra on the slit image')
y_dim, x_dim = numpy.shape(im)
x = numpy.arange(0, x_dim, 1)
# collopse the image on the y-axis
# start with a rectangular Figure
pl.figure(num=None, figsize=(14, 10))
z1, z2 = saltimagetools.zscale(im, 0.25)
colmap = pl.cm.Greys
pl.imshow(im, cmap=colmap, vmin=z1, vmax=z2, origin='lower')
for i in range(0, len(splines)):
left_edge = splines[i][0]
right_edge = splines[i][1]
pl.plot(x, left_edge, 'b-')
pl.plot(x, right_edge, 'r-')
pl.xlim((-10, x_dim + 10))
pl.ylim((-10, y_dim + 10))
pl.title('Slits detected on %s' % img)
pl.xlabel('x - pixels')
pl.ylabel('y - pixels')
pl.show()
def show_image_with_edges(im, splines, img, debug):
if debug:
print 'plotting the extracted spectra on the slit image'
y_dim, x_dim = numpy.shape(im)
x = numpy.arange(0, x_dim, 1)
# collopse the image on the y-axis
# start with a rectangular Figure
pl.figure(num=None, figsize=(14, 10))
z1, z2 = saltimagetools.zscale(im, 0.25)
colmap = pl.cm.Greys
pl.imshow(im, cmap=colmap, vmin=z1, vmax=z2, origin='lower')
for i in range(0, len(splines)):
left_edge = splines[i][0]
right_edge = splines[i][1]
pl.plot(x, left_edge, 'b-')
pl.plot(x, right_edge, 'r-')
pl.xlim((-10, x_dim + 10))
pl.ylim((-10, y_dim + 10))
pl.title('Slits detected on %s' % img)
pl.xlabel('x - pixels')
pl.ylabel('y - pixels')
pl.show()
def setScale(self):
# Set scale parameters
if self.scale=='minmax':
self.vmin=np.min(self.image)
self.vmax=np.max(self.image)
elif self.scale=='zscale':
self.vmin,self.vmax=zscale(self.image,self.contrast)
else:
self.vmin=None
self.vmax=None
