CODEWITHSUNDEEP
bokeh
Bruno
Bruno

Reputation: 651

Bokeh RuntimeError: Models must be owned by only a single document, Selection(id='1057', ...) is already in a doc

I am trying to plot several graphs in Bokeh, but I get the following error:

RuntimeError: Models must be owned by only a single document, Selection(id='1057', ...) is already in a doc.

I know that this is caused when trying to use the same objects in multiple docs, but I don't understand where I am doing that. Here is the entire (simplified) code.

I'm using Bokeh 1.4.0.

from bokeh.plotting import figure, show
from bokeh.layouts import row, gridplot
from bokeh.models import ColumnDataSource
from bokeh.io import output_file
import pandas as pd

feature_groups  = [['ciao'],['bye']]


df = pd.DataFrame.from_dict({'x':[0,1,2,3,4], 'y':[2,3,4,5,6]})
x_test = [0,1,2,3,4]
y_test = [2,3,4,5,6]
source = ColumnDataSource(df)


for features_columns in feature_groups:
    output_file('features_labels' + features_columns[0] +'.html')
    p = []

    for k,f in enumerate(features_columns):
        p_k = figure(title=f)
        p_k.circle(x=f, y='ki', line_width=2, source=source,fill_alpha=0.5,line_alpha=0.5)
        p_k.circle_cross( x=x_test, y=y_test, color='red',fill_alpha=0.5,line_alpha=0.5)
        p_k.circle_cross( x = x_test, y = y_test, color='green',fill_alpha=0.5,line_alpha=0.5)
        p_k.xaxis.axis_label = f
        p_k.yaxis.axis_label = 'ki'
        p.append(p_k)
    grid = gridplot(p, ncols=2)
    show(grid)

thank you in advance

Upvotes: 2

Views: 3620

Answers (2)

Антон Петров
Антон Петров

Reputation: 41

Use this function show_bokeh(grid)

def show_bokeh(plot_fig):
    try:
        bpl.reset_output()
        bpl.output_notebook()
        bpl.show(plot_fig)
    except:
        bpl.output_notebook()
        bpl.show(plot_fig)

instead of show()

Upvotes: 0

Tony
Tony

Reputation: 8287

1) like the error says each Bokeh model (in this case instance of ColumnDataSource) can be added to the Bokeh Document only once so just move source = ColumnDataSource(df) to the for loop.

EDIT (thanks to bigreddot): Apparently you can share the same source only between glyphs and plots in the same Bokeh Document and not between different documents. Methods like output_file, save and show implicitly create a new Bokeh Document so using the same source in combination with two output_file statements in your original code will always cause a problem

2) you refer to fields that don't exist in your ColumnDataSource like 'ki' etc. I replaced them with x='x' and y='y'

See below corrected and working code:

from bokeh.plotting import figure, show
from bokeh.layouts import row, gridplot
from bokeh.models import ColumnDataSource
from bokeh.io import output_file
import pandas as pd

feature_groups  = [['ciao'],['bye']]

df = pd.DataFrame.from_dict({'x':[0,1,2,3,4], 'y':[2,3,4,5,6]})
x_test = [0,1,2,3,4]
y_test = [2,3,4,5,6]

for features_columns in feature_groups:
    output_file('features_labels' + features_columns[0] +'.html')
    p = []
    source = ColumnDataSource(df)

    for k,f in enumerate(features_columns):
        p_k = figure(title=f)
        p_k.circle(x='x', y='y', line_width=2, source=source,fill_alpha=0.5,line_alpha=0.5)
        p_k.circle_cross( x=x_test, y=y_test, color='red',fill_alpha=0.5,line_alpha=0.5)
        p_k.circle_cross( x = x_test, y = y_test, color='green',fill_alpha=0.5,line_alpha=0.5)
        p_k.xaxis.axis_label = f
        p_k.yaxis.axis_label = 'ki'
        p.append(p_k)
    grid = gridplot(p, ncols=2)
    show(grid)

Upvotes: 3

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