bokeh

For example you can plot an image in matplotlib using this code: %matplotlib inline import matplotlib.pyplot as plt import matplotlib.image as mpimg img=mpimg.imread('image.png') plt.imshow(img) Is something like this possible with Bokeh(0.10)? You can use the ImageURL glyph ( image_url plot method)to load images locally or from the web. from bokeh.plotting import figure, show, output_file output_file('image.html') p = figure(x_range=(0,1), y_range=(0,1)) p.image_url(url=['tree.png'], x=0, y=1) show(p) One gotcha - if you graph only an image (and no other data), you'll have to explicitly set

I understand how you specify specific ticks to show in Bokeh, but my question is if there is a way to assign a specific label to show versus the position. So for example plot.xaxis[0].ticker=FixedTicker(ticks=[0,1]) will only show the x-axis labels at 0 and 1, but what if instead of showing 0 and 1 I wanted to show Apple and Orange. Something like plot.xaxis[0].ticker=FixedTicker(ticks=[0,1], labels=['Apple', 'Orange']) A histogram won't work for the data I am plotting. Is there anyway to use custom labels in Bokeh like this? As of even more recent versions of Bokeh ( 0.12.14 or so) this is