Hi, I am trying to display an image like this in jupyterlab where i have enabled output_notebook():
from bokeh.layouts import row
from bokeh.io import show, output_notebook
from bokeh.plotting import figure
from utils import imshow
import numpy as np, pandas as pd, json
from skimage.measure import label, regionprops_table
import cv2
from bokeh.plotting import ColumnDataSource
output_notebook()
ds = ColumnDataSource(data=dict(image=[img]))
p = figure(x_range=(0, img.shape[1]), y_range=(0, img.shape[0]))
p.image(
image='image', x=0, y=0,
dw=img.shape[1], dh=img.shape[0],
palette="Spectral11"
)
show(p)
However when i run the cell no image shows and i the following error in the console:
Uncaught (in promise) TypeError: Cannot read properties of null (reading 'dimension')
at p._set_data (bokeh-3.0.3.min.js:509:2147)
at p.set_data (bokeh-3.0.3.min.js:376:4330)
at R.set_data (bokeh-3.0.3.min.js:372:4143)
at R.lazy_initialize (bokeh-3.0.3.min.js:372:1824)
at async a (bokeh-3.0.3.min.js:224:210)
at async t.build_views (bokeh-3.0.3.min.js:224:625)
at async _.build_renderer_views (bokeh-3.0.3.min.js:574:10203)
at async _.lazy_initialize (bokeh-3.0.3.min.js:574:3853)
at async a (bokeh-3.0.3.min.js:224:210)
at async t.build_view (bokeh-3.0.3.min.js:224:315)
If i display the image directly (without using columndatasource) it works great.
Why can i not use columndatasource like this?