散景:DataTable-如何设置选定的行 [英] Bokeh: DataTable - how to set selected rows

问题描述

我想以编程方式更改DataTable对象的行选择(没有JS，只有python).我试图如此使用基础ColumnsSource的selected属性，但没有成功.该怎么办?

I would like to change the DataTable object row selection programmatically (without JS, just python). I have tried to so using the selected property of the underlying ColumnsSource with no success. How can this be done?

推荐答案

查看示例应用程序(需要运行bokeh服务)，在该应用程序中，按下按钮即可更改选定的行，然后同时更新表格和绘图.这就是您需要的所有功能吗?

See an example app (needs bokeh serve to run) where pressing the button changes the selected rows, then updates both a table and plot. Is this all the functionality you need?

通过这种方式，您可以在JS中完成此操作，而无需使用bokeh服务器，但是如果您正在使用更多的python功能，那么我想您需要它.

By the way you could just do it in JS and not need to use bokeh server, but if you have more python functionality going on then i guess you need it.

from datetime import date
from random import randint

from bokeh.io import output_file, show, curdoc
from bokeh.plotting import figure
from bokeh.layouts import widgetbox, row
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn,Button

output_file("data_table.html")

data = dict(
        dates=[date(2014, 3, i+1) for i in range(10)],
        downloads=[randint(0, 100) for i in range(10)],
    )

def update():
    #set inds to be selected
    inds = [1,2,3,4]
    source.selected = {'0d': {'glyph': None, 'indices': []},
                                '1d': {'indices': inds}, '2d': {}}
    # set plot data
    plot_dates = [data['dates'][i] for i in inds]
    plot_downloads = [data['downloads'][i] for i in inds]
    plot_source.data['dates'] = plot_dates
    plot_source.data['downloads'] = plot_downloads


source = ColumnDataSource(data)
plot_source = ColumnDataSource({'dates':[],'downloads':[]})


table_button = Button(label="Press to set", button_type="success")
table_button.on_click(update)
columns = [
        TableColumn(field="dates", title="Date", formatter=DateFormatter()),
        TableColumn(field="downloads", title="Downloads"),
    ]
data_table = DataTable(source=source, columns=columns, width=400, height=280)

p = figure(plot_width=400, plot_height=400)

# add a circle renderer with a size, color, and alpha
p.circle('dates','downloads',source=plot_source, size=20, color="navy", alpha=0.5)


curdoc().add_root(row([table_button,data_table,p]))

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