0

我正在尝试将此示例从 Bokeh 移植到笔记本内部（参见这里的源代码）

这是我的尝试：

import pandas as pd

from bokeh.layouts import row, widgetbox
from bokeh.models import Select
from bokeh.palettes import Spectral5
from bokeh.plotting import curdoc, figure

df = pandas.DataFrame({'A': [1.1, 2.7, 5.3], 'B': [2, 10, 9], 'C': [3.3, 5.4, 1.5], 'D': [4, 7, 15]},
                      index = ['a1', 'a2', 'a3'])

columns = sorted(df.columns)

def create_figure(x_v):
    xs = df[x_v].values
    ys = df[y.value].values
    x_title = x_v.title()
    y_title = y.value.title()

    kw = dict()
    kw['title'] = "%s vs %s" % (x_title, y_title)

    p = figure(plot_height=600, plot_width=800, tools='pan,box_zoom,hover,reset', **kw)
    p.xaxis.axis_label = x_title
    p.yaxis.axis_label = y_title


    sz = 9
    c = "#31AADE"
    p.circle(x=xs, y=ys, color=c, size=sz, line_color="white", alpha=0.6, hover_color='white', hover_alpha=0.5)

    return p

fig = create_figure('A')

def update(x_value):
    global fig
    global layout
    global bokeh_handle
    fig = create_figure(x_value)
    layout = row(controls, fig)
    push_notebook(handle=bokeh_handle) #doesn't update?

x = Select(title='X-Axis', value='A', options=columns)
x.js_on_change('value', CustomJS(code="""
if (IPython.notebook.kernel !== undefined) {
    var kernel = IPython.notebook.kernel;
    cmd = "update('" + cb_obj.value + "')";
    kernel.execute(cmd, {}, {});
}
"""))

controls = widgetbox([x], width=200)
layout = row(controls, fig)

bokeh_handle = show(layout, notebook_handle=True)

这显示了我的“A vs B”图，但是当我更改选择小部件时，该图永远不会更新。我怎样才能让它工作？

我看到的是布局对象实际上已更改，因为如果我调用show(layout)一个新单元格，它将重绘更新的布局。然而，我似乎没有正确地用新的布局更新旧的布局，因为新的曾经永远不会改变。我怎样才能解决这个问题？

谢谢！

4

0 回答 0