def initialize_image(axes, data, dataview):
"Initializes the image from the datacube"
yimage = analysis.yimage_calc(data, dataview)
maxval = analysis.maxval_calc(data, dataview)
img = axes.imshow(yimage, interpolation="nearest", clim=(0, maxval), cmap="spectral")
xdata = analysis.xdata_calc(data, dataview)
slice1 = dataview.slider_val
if dataview.display_ev:
axes.set_title("Current Slice ev:%0.2f" % float(xdata[slice1]))
else:
axes.set_title("Current Slice Wavelength:%0.2f" % float(xdata[slice1]))
plt.yticks([])
plt.xticks([])
return img
def plot_image(img, axes, data, dataview):
"""updates the image on screen with a new cube slice from slider"""
yimage = analysis.yimage_calc(data, dataview)
img.set_array(yimage)
max_color, min_color = analysis.colors_calc(data, dataview)
if dataview.auto_color:
img.autoscale()
vmin, vmax = img.get_clim()
dataview.mincolor = vmin
dataview.maxcolor = vmax
else:
img.set_clim(vmax=max_color, vmin=min_color)
xdata = analysis.xdata_calc(data, dataview)
slice1 = dataview.slider_val
if dataview.display_ev:
axes.set_title("Current Slice ev:%0.2f" % float(xdata[slice1]))
else:
axes.set_title("Current Slice Wavelength:%0.0f " % float(xdata[slice1]))
img.figure.canvas.draw()
def plot_image(img, axes, data, dataview):
"""updates the image on screen with a new cube slice from slider"""
yimage = analysis.yimage_calc(data, dataview)
img.set_array(yimage)
max_color, min_color = analysis.colors_calc(data, dataview)
if dataview.auto_color:
img.autoscale()
vmin, vmax = img.get_clim()
dataview.mincolor = vmin
dataview.maxcolor = vmax
else:
img.set_clim(vmax=max_color, vmin=min_color)
xdata = analysis.xdata_calc(data, dataview)
slice1 = dataview.slider_val
if dataview.display_ev:
axes.set_title('Current Slice ev:%0.2f' % float(xdata[slice1]))
else:
axes.set_title('Current Slice Wavelength:%0.0f ' %
float(xdata[slice1]))
img.figure.canvas.draw()
def initialize_image(axes, data, dataview):
'Initializes the image from the datacube'
yimage = analysis.yimage_calc(data, dataview)
maxval = analysis.maxval_calc(data, dataview)
img = axes.imshow(yimage,
interpolation='nearest',
clim=(0, maxval),
cmap='spectral')
xdata = analysis.xdata_calc(data, dataview)
slice1 = dataview.slider_val
if dataview.display_ev:
axes.set_title('Current Slice ev:%0.2f' % float(xdata[slice1]))
else:
axes.set_title('Current Slice Wavelength:%0.2f' % float(xdata[slice1]))
plt.yticks([])
plt.xticks([])
return img
def plot_pyqt(imv, data, dataview):
yimage = analysis.yimage_calc(data, dataview)
yimage = np.rot90(yimage, 1)
imv.setImage(yimage)
def plot_pyqt(imv, data, dataview):
yimage = analysis.yimage_calc(data, dataview)
yimage = np.rot90(yimage, 1)
imv.setImage(yimage)