updating bokeh plot with a bokeh widget in jupyter notebook

问题

I want to use bokeh widgets from within a jupyter notebook to update a bokeh plot. My (somewhat hacky) code looks like this:

from bokeh.plotting import figure
from bokeh.io import output_notebook, push_notebook, show
from bokeh.models import CustomJS, Slider

output_notebook()

power = 0.5
x = [1,2,3]
y = [i**power for i in x]

fig = figure()
plt = fig.circle(x, y)

def update_plot(power):
    x = plt.data_source.data['x']
    plt.data_source.data['y'] = [i**power for i in x]
    push_notebook(handle=bokeh_handle)  


bokeh_handle = show(fig, notebook_handle=True)

##### new notebook cell #####

callback = CustomJS(code="""
if (IPython.notebook.kernel !== undefined) {
    var kernel = IPython.notebook.kernel;
    cmd = "update_plot(" + cb_obj.value + ")";
    kernel.execute(cmd, {}, {});
}
""")

slider = Slider(start=0.1, 
                end=1,
                value=1,
                step=.05,
                title="power",
                callback=callback)
show(slider)

The idea is that the JS callback for the slider calls the python function update_plot(), which changes the data of the bokeh plot and then triggers a push_notebook().

However, when I move the slider, the plot is not updated, but some weird glyphs appear in the upper left corner (see red arrow).

Executing print(plt.data_source.data['y']) showed me that the callback and update_plot() were actually called upon slider movement. Why is the plot not properly updated? Or am I missing something here?

(I know that I can do the same thing using ipywidgets.interact, but I want to stick to bokeh widgets.)

回答1:

I got the plot to update as expected by displaying the figure and the slider widget within a bokeh.layouts.row layout:

from bokeh.plotting import figure
from bokeh.io import output_notebook, push_notebook, show
from bokeh.models import CustomJS, Slider
from bokeh.layouts import row

output_notebook()

power = 0.5
x = [1,2,3]
y = [i**power for i in x]

fig = figure()
plt = fig.circle(x, y)

def update_plot(power):
    x = plt.data_source.data['x']
    plt.data_source.data['y'] = [i**power for i in x]
    push_notebook(handle=bokeh_handle)  


##### new notebook cell #####

callback = CustomJS(code="""
if (IPython.notebook.kernel !== undefined) {
    var kernel = IPython.notebook.kernel;
    cmd = "update_plot(" + cb_obj.value + ")";
    kernel.execute(cmd, {}, {});
}
""")

slider = Slider(start=0.1, 
                end=1,
                value=1,
                step=.05,
                title="power",
                callback=callback)
bokeh_handle = show(row(fig, slider), notebook_handle=True)

来源：https://stackoverflow.com/questions/40533394/updating-bokeh-plot-with-a-bokeh-widget-in-jupyter-notebook