Bokeh RuntimeError：模型必须仅由单个文档拥有，文档中已经存在Selection（id ='1057'，…）]

Question

我试图在散景中绘制几个图，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.

我知道这是在多个文档中尝试使用相同对象时引起的，但我不知道在哪里进行操作。这是完整的（简化的）代码。

我正在使用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)

先谢谢您

Answer 1

1）就像错误一样，表示每个Bokeh模型（在这种情况下为ColumnDataSource实例）只能添加到Bokeh Document中一次，因此只需将source = ColumnDataSource(df)移动到for循环即可。

编辑（感谢bigreddot）：显然，您只能在同一散景source中的字形和绘图之间共享同一Document，而不能在不同文档之间共享。像output_file，save和show之类的方法会隐式创建一个新的Bokeh Document，因此在原始代码中结合使用相同的source和两个output_file语句会导致问题

2），您引用的是ColumnDataSource中不存在的字段，例如'ki'等。我将其替换为x='x'和y='y'

请参见下面的更正和工作代码：

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)