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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