当我使用show（plot）时，Bokeh Server Plot无法更新并引发警告

Question

我正在Bokeh布局上使用select X属性投影两个不同的值。

SO上有类似的帖子，告诉您将from bokeh.layouts import row更改为from bokeh.layouts import column，并将layout = row(select_widget, plot)更改为layout = column(select_widget, plot)。我试过了，但是什么也没发生。

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

df = pd.read_csv("C:\Python\SpendMap.csv", encoding = "ISO-8859-1")

df_construction = df[df['SubCategory'] == 'Constr']

source = ColumnDataSource(data={
    'x' : df_construction['Year'],
    'y' : df_construction['Spend'],
    'x1': df_construction['Plant']
     })

plot = figure()
plot.diamond('x','y', source=source, color ='red')
select_widget = Select(options = ['Plant','Year'], value='Year', title = 'select new x axis attribute')

def callback(attr, old, new):
    if new == 'Plant':
        data.data = {'x' : df_construction['Year'], 'y':  df_construction['Spend']}
    else:
        data.data = {'x': df_construction['Plant'], 'y': df_construction['Spend']}
        select_widget.on_change('value',callback)

layout = row(select_widget, plot)
curdoc().add_root(layout)

当运行bokeh服务--show Plant.py时，浏览器应打开，并在我选择下拉式布局但仅显示“年份”信息时向我显示散景中的Plant和Year。

Answer 1

您正在尝试编辑data.data。您应该编辑source.data，因为这是您用于字形的源。我无法复制模型，这不应该是文档根错误。

#!/usr/bin/python3

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

df_construction = pd.DataFrame.from_dict({'x': [2000, 2001, 2002, 2003, 2004], 'y': [50, 60, 70, 80, 90], 'x1': [2004, 2003, 2002, 2001, 2000]})
source = ColumnDataSource(df_construction)

plot = figure()
plot.diamond('x','y', source=source, color ='red')
select_widget = Select(options = ['Plant','Year'], value='Year', title = 'select new x axis attribute')

def callback(attr, old, new):
    if new == 'Plant':
        source.data = {'x' : df_construction['x1'], 'y':  df_construction['y'], 'x1': df_construction['x']}
    else:
        source.data = {'x' : df_construction['x'], 'y':  df_construction['y'], 'x1': df_construction['x1']}

select_widget.on_change('value',callback)
layout = row(select_widget, plot)
curdoc().add_root(layout)

Jupyter笔记本中的代码（经过Bokeh 1.0.3和1.0.4测试）：

#!/usr/bin/python3

import pandas as pd
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource, Select
from bokeh.io import curdoc, show, output_notebook
from bokeh.layouts import row

output_notebook()

def modify_doc(doc):
    df_construction = pd.DataFrame.from_dict({'x': [2000, 2001, 2002, 2003, 2004], 'y': [50, 60, 70, 80, 90], 'x1': [2004, 2003, 2002, 2001, 2000]})
    source = ColumnDataSource(df_construction)

    plot = figure()
    plot.diamond('x','y', source=source, color ='red')
    select_widget = Select(options = ['Plant','Year'], value='Year', title = 'select new x axis attribute')

    def callback(attr, old, new):
        if new == 'Plant':
            source.data = {'x' : df_construction['x1'], 'y':  df_construction['y'], 'x1': df_construction['x']}
        else:
            source.data = {'x' : df_construction['x'], 'y':  df_construction['y'], 'x1': df_construction['x1']}

    select_widget.on_change('value',callback)
    layout = row(select_widget, plot)
    doc.add_root(layout)

show(modify_doc, notebook_url='localhost:8891') #Change this if it refuses websocket connection