散景，套索选择表格更新 [英] Bokeh, lasso select to table update

问题描述

我希望每个人都过得很好.

I hope everyone is doing well.

我正在尝试开发散景交互，从而选择散点图的一部分将更新表格.

I am trying to develop a Bokeh interaction whereby selecting a part of a scatter plot will update a table.

我正在使用Bokeh文档中的许多示例代码.我的工作场所运行的是较早版本的Bokeh(0.12.5)，因此我不得不将自定义JS的最后一行(从s2.change.emit()更改为s2.trigger('change).然后，我添加了一些内容)行来创建数据表.

I am using a lot of the sample code from the Bokeh documentation. My workplace is running an older version of Bokeh (0.12.5) so I had to change the last line in the Custom JS (from s2.change.emit() to s2.trigger('change). I then added in a few lines to create a DataTable.

我天真地认为，由于在数据表中采购's1'有效，因此采购's2'将使我可以将表链接到套索选择.我什至尝试在JS回调的表小部件中添加一个额外的触发器.

I naively thought that since sourcing 's1' in the Datatable works, sourcing 's2' will allow me to link the table to the lasso select. I even tried adding in an extra trigger to the table widget in the JS callback.

有人知道如何从图形中的套索选择创建表格吗?

Does anyone know how to create a table from a lasso select in a graph?

代码

谢谢.

from random import random

from bokeh.layouts import row
from bokeh.models import CustomJS, ColumnDataSource
from bokeh.plotting import figure, output_file, show
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn

output_file("callback.html")

x = [random() for x in range(500)]
y = [random() for y in range(500)]

s1 = ColumnDataSource(data=dict(x=x, y=y))
p1 = figure(plot_width=400, plot_height=400, tools="lasso_select", title="Select Here")
p1.circle('x', 'y', source=s1, alpha=0.6)

s2 = ColumnDataSource(data=dict(x=[], y=[]))
p2 = figure(plot_width=400, plot_height=400, x_range=(0, 1), y_range=(0, 1),
            tools="", title="Watch Here")
p2.circle('x', 'y', source=s2, alpha=0.6)

###New code##
columns = [TableColumn(field ="x",  title = "X axis"),
           TableColumn(field ="y",  title = "Y axis")]

table = DataTable(source =s2, columns = columns, width =400, height =  280)


##Added in table.trigger('change') hoping this would link to the lasso select.
s1.callback = CustomJS(args=dict(s2=s2), code="""
        var inds = cb_obj.selected['1d'].indices;
        var d1 = cb_obj.data;
        var d2 = s2.data;
        d2['x'] = []
        d2['y'] = []
        for (i = 0; i < inds.length; i++) {
            d2['x'].push(d1['x'][inds[i]])
            d2['y'].push(d1['y'][inds[i]])
               }
        s2.trigger('change');
        table.trigger('change');
    """)


##having 'table' in the layout, stops the callback from working, deleting table from the layout makes it work.
layout = row(p1, p2, table)

show(layout)

推荐答案

这是bokeh 1.0.4的有效版本

Here's a working version for bokeh 1.0.4

from random import random

import bokeh.io
from bokeh.io import output_notebook, show

from bokeh.layouts import row
from bokeh.models import CustomJS, ColumnDataSource
from bokeh.plotting import figure
from bokeh.models.widgets import DataTable, DateFormatter, TableColumn

from bokeh.resources import INLINE
bokeh.io.output_notebook(INLINE)

x = [random() for x in range(500)]
y = [random() for y in range(500)]

s1 = ColumnDataSource(data=dict(x=x, y=y))
p1 = figure(plot_width=400, plot_height=400, tools="lasso_select", title="Select Here")
p1.circle('x', 'y', source=s1, alpha=0.6)

s2 = ColumnDataSource(data=dict(x=[], y=[]))
p2 = figure(plot_width=400, plot_height=400, x_range=(0, 1), y_range=(0, 1),
            tools="", title="Watch Here")
p2.circle('x', 'y', source=s2, alpha=0.6)

columns = [TableColumn(field ="x",  title = "X axis"),
           TableColumn(field ="y",  title = "Y axis")]

table = DataTable(source =s2, columns = columns, width =155, height = 380)


s1.selected.js_on_change('indices', CustomJS(args=dict(s1=s1, s2=s2, table=table), code="""
        var inds = cb_obj.indices;
        var d1 = s1.data;
        var d2 = s2.data;
        d2['x'] = []
        d2['y'] = []
        for (var i = 0; i < inds.length; i++) {
            d2['x'].push(d1['x'][inds[i]])
            d2['y'].push(d1['y'][inds[i]])
        }
        s2.change.emit();
        table.change.emit();
    """)
)

layout = row(p1, p2, table)

show(layout)

您甚至可以在表格中选择行/值，第二个绘图中的点将更改不透明度(您可以通过单击标题对表格进行排序)

You can even select rows/values in the table and the points in the second plot will change opacity (and you can sort the table by clicking the headers)

这篇关于散景，套索选择表格更新的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！