Question

为了说明我的问题，我改编了here的示例。

假设我有几个不同维度的数据集，我想在同一图中绘制然后进行选择，我如何将所选数据存储在例如字典（或任何其他结构如numpy数组，pandas数据帧，...）？所以数据选择看起来像这样

现在有办法以表格形式存储所选数据：

{'x': ['x_1_selected', 'x_2_selected', '...', 'x_n_selected'],
 'x1': ['x1_1_selected', 'x1_2_selected', '...', 'x1_n_selected'],
 'y': ['y_1_selected', 'y_2_selected', '...', 'y_n_selected'],
 'y1': ['y1_1_selected', 'y1_2_selected', '...', 'y1_n_selected']}

给出一些背景知识：应该允许用户加载不同的数据集，可视化它们，使用套索进行选择，然后选择的数据应该用于其他函数，因此它们需要存储在一个结构中，该结构可以很容易地传递给我定义的其他函数

是否有，例如一种全球更新s2和s2b的方式（请参阅下面的代码）？当我现在检查s2.data和s2b.data时，他们仍会显示空列表。

这是代码：

from random import random

from bokeh.layouts import row
from bokeh.models import CustomJS, ColumnDataSource
from bokeh.plotting import figure, output_file, show

output_file("callback.html")

x = [random() for x in range(500)]
y = [random() for y in range(500)]
x2 = [random() for x2 in range(100)]
y2 = [random() for y2 in range(100)]

# the two different data sources of different length
s1 = ColumnDataSource(data=dict(x=x, y=y))
s1b = ColumnDataSource(data=dict(x2=x2, y2=y2))

# the figure with all source data where we make selections
p1 = figure(plot_width=400, plot_height=400, tools="lasso_select", title="Select Here")
p1.circle('x', 'y', source=s1, alpha=0.6, color='red')
p1.circle('x2', 'y2', source=s1b, alpha=0.6, color='black')

# second figure which is empty initially where we show the selected datapoints
s2 = ColumnDataSource(data=dict(x=[], y=[]))
s2b = ColumnDataSource(data=dict(x2=[], y2=[]))
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, color='red')
p2.circle('x2', 'y2', source=s2b, alpha=0.6, color='black')

# individual callback for different datasets
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.change.emit();
    """)

s1b.callback = CustomJS(args=dict(s2b=s2b), code="""
        var inds = cb_obj.selected['1d'].indices;
        var d1 = cb_obj.data;
        var d2 = s2b.data;
        d2['x2'] = []
        d2['y2'] = []
        for (i = 0; i < inds.length; i++) {
            d2['x2'].push(d1['x2'][inds[i]])
            d2['y2'].push(d1['y2'][inds[i]])
        }
        s2b.change.emit();
    """)

layout = row(p1, p2)

show(layout)

Answer 1

鉴于您提到将所选数据存储在numpy数组或pandas数据帧中，我假设您计划实际使用b[1:2]。在这种情况下，您不需要编写任何JS代码，因为所有Bokeh [[3,4]]都具有bokeh serve属性，并且您可以附加Python回调。只需用以下代码替换回调代码：

DataSource

如何全局访问套索选择的数据？

1 个答案: