interactive image

bokeh_tricks.py

import bokeh
from bokeh.io import output_notebook, push_notebook
output_notebook()

##

import numpy as np
from ipywidgets import interact, widgets

from bokeh.plotting import figure, show
from bokeh.models import LogColorMapper, LogTicker, ColorBar, HoverTool
from bokeh.layouts import column
from bokeh.models.widgets import RangeSlider


def normal2d(X, Y, sigx=1.0, sigy=1.0, mux=0.0, muy=0.0):
    z = (X-mux)**2 / sigx**2 + (Y-muy)**2 / sigy**2
    return np.exp(-z/2) / (2 * np.pi * sigx * sigy)

X, Y = np.mgrid[-3:3:100j, -2:2:100j]
Z = normal2d(X, Y, 0.1, 0.2, 1.0, 1.0) + 0.1*normal2d(X, Y, 1.0, 1.0)
image = Z * 1e6

color_mapper = LogColorMapper(palette="Viridis256", low=1, high=1e7)
plot = figure(x_range=(0,1), y_range=(0,1), 
              tools=[HoverTool(tooltips=[("x", "$x"), ("y", "$y"), ("value", "@image")])],
             toolbar_location=None)
plot.image(image=[image], color_mapper=color_mapper,
           dh=[1.0], dw=[1.0], x=[0], y=[0])

color_bar = ColorBar(color_mapper=color_mapper, ticker=LogTicker(),
                     label_standoff=12, border_line_color=None, location=(0,0))

plot.add_layout(color_bar, 'right')
t = show(plot, notebook_handle=True)

def update(colours):
    color_mapper.low, color_mapper.high = colours
    push_notebook(color_mapper)

cols = widgets.FloatRangeSlider(min=1,max=1e7,value=[1, 1e7])
interact(update, colours=cols);