Bokeh (1.0.4) image show example

bokeh_show_image.py

# replace matplotlib.pyplot.imshow(img)

import numpy as np

from bokeh.plotting import figure, show, output_notebook

output_notebook()

N = 500
x = np.linspace(0, 10, N)
y = np.linspace(0, 10, N)
xx, yy = np.meshgrid(x, y)
d = np.sin(xx)*np.cos(yy) # (500, 500) numpy.ndarray

p = figure(x_range=(0, 10), y_range=(0, 10))
p.image(image=[d], x=0, y=0, dw=10, dh=10, palette="Spectral11") # uni channel with palette
show(p)

# figure size (10, 15) but image only (10, 10)
p = figure(x_range=(0, 10), y_range=(0, 15))
p.image(image=[d], x=0, y=0, dw=10, dh=10) # grey image
show(p)

Hover tool style

data = dict(
    image = [d],
    x = [0],
    y = [0],
    dw = [10],
    dh = [10]
)

TOOLTIPS = [
    ("x", "$x"),
    ("y", "$y"),
    ('dist', '@image'),
]

p = figure(x_range=(0, 10), y_range=(0, 10), tooltips=TOOLTIPS)
p.image(source=data, image='image', x='x', y='y', dw='dw', dh='dh', palette="Inferno256")
show(p)