Bokeh RUNTIME错误：模型只能由单个文档所拥有，选择(id=&#39；1057&#39；，...)已在文档中 [英] Bokeh RuntimeError: Models must be owned by only a single document, Selection(id='1057', ...) is already in a doc

问题描述

我尝试在Bokeh中绘制多个图表，但出现以下错误：

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

我知道这是在尝试在多个文档中使用相同对象时导致的，但我不知道我在哪里这样做。以下是完整(简化)代码。

我使用的是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)

提前感谢您

推荐答案

1)就像错误所说的，每个Bokeh模型(在本例中是的实例)只能添加到Bokeh中一次，因此只需将source = ColumnDataSource(df)移到for循环中。

编辑(感谢bigreddot)：显然，您只能在同一BokehDocument中的字形和曲线图之间共享相同的source，而不能在不同的文档之间共享。像output_file、save和show这样的方法隐式创建一个新的BokehDocument，因此将相同的source与原始代码中的两个output_file语句结合使用总是会导致问题

2)您引用了不存在于ColumnDataSource中的字段，如‘ki’等。我将它们替换为x='x'和y='y'

请参阅下面已更正且正常工作的代码：

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)

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