Image plots in Lightning

Setup



In [46]:

    
from lightning import Lightning

from numpy import random, asarray, concatenate
from sklearn import datasets

Connect to server



In [47]:

    
lgn = Lightning(ipython=True, host='http://public.lightning-viz.org')









    




Lightning initialized






    



Connected to server at http://public.lightning-viz.org

Basic image viewing

The image plot type shows an image with zooming and panning.
Lightning's image viewer is powered by leaflet, so easily handles panning through very large images.



In [48]:

    
imgs = datasets.load_sample_images().images
lgn.image(imgs[0])









    Out[48]:

Single-channel images will automatically be presented as grayscale.



In [49]:

    
imgs = datasets.load_sample_images().images
lgn.image(imgs[0][:,:,0])









    Out[49]:

The usual sizing arguments can be used to set the image size in pixels.



In [50]:

    
imgs = datasets.load_sample_images().images
lgn.image(imgs[0], width=400)









    Out[50]: