from lesson 03_Data_ Sources_&_Transformations
The text says:
Change the code above to use log_cmap and observe the results.
from bokeh.transform import log_cmap N = 4000 data = dict(x=np.random.random(size=N) * 100, y=np.random.random(size=N) * 100, r=np.random.random(size=N) * 1.5) p = figure() p.circle('x', 'y', radius='r', source=data, fill_alpha=0.6, # color map based on the x-coordinate color=log_cmap('x', 'Viridis256', 0, 100)) show(p)
The only difference between this one and the one before is swapping log_cmap for linear_cmap, but the result could not be more different:
There are no errors or exceptions.
I don’t get it. What happened here? What was I supposed to do differently?