散景：在鏈接地塊中同步懸停工具提示

Question

我有兩個鏈接地塊。在懸停時，我希望在這兩個地塊中都有一個工具提示。我已經使用鏈接選擇取得了巨大成功，但現在我想鏈接工具提示。

下面是一個例子。工具提示出現在左側的圖中。如果我可以在右側的圖表中顯示相應的工具提示，那將會很棒。相應的數據點是具有相同ID的數據點。 （有一個共享的3D列數據源;每個圖都採用不同的2D視圖）。

詩篇。我會改進工具提示中的文字。

更新

結束了類似：

Answer 1

我不知道如何使用工具提示功能直接將做到這一點，但這裏是使用的方式文本字形以模仿工具提示：

from bokeh.io import gridplot 
from bokeh.plotting import figure, output_file, show 
from bokeh.models import ColumnDataSource, Circle, HoverTool, CustomJS, Text 
import numpy as np 
(x, y, z) = np.arange(0, 100, 10), 100-np.arange(0, 100, 10), np.arange(0, 100, 10)/5 

output_file("hover_callback.html") 

p = figure(width=300, height=300, title='Hover over points', x_axis_label='x', y_axis_label='y') 
p.scatter(x, y) 
p2 = figure(width=300, height=300, title='Hover over points', x_axis_label='x', y_axis_label='z', x_range=p.x_range) 
p2.scatter(x, z) 

source = ColumnDataSource({'x': x, 'y': y, 'z': z, 'txt': ['x='+str(x[i])+', y='+str(y[i]) for i in range(len(x))], 'txt2': ['x='+str(x[i])+', z='+str(z[i]) for i in range(len(x))]}) 

invisible_circle = Circle(x='x', y='y', fill_color='gray', fill_alpha=0.0, line_color=None, size=20) # size determines how big the hover area will be 
invisible_circle2 = Circle(x='x', y='z', fill_color='gray', fill_alpha=0.0, line_color=None, size=20) 

invisible_text = Text(x='x', y='y', text='txt', text_color='black', text_alpha=0.0) 
visible_text = Text(x='x', y='y', text='txt', text_color='black', text_alpha=0.5) 

invisible_text2 = Text(x='x', y='z', text='txt2', text_color='black', text_alpha=0.0) 
visible_text2 = Text(x='x', y='z', text='txt2', text_color='black', text_alpha=0.5) 

cr = p.add_glyph(source, invisible_circle, selection_glyph=invisible_circle, nonselection_glyph=invisible_circle) 
crt = p.add_glyph(source, invisible_text, selection_glyph=visible_text, nonselection_glyph=invisible_text) 
cr2 = p2.add_glyph(source, invisible_circle2, selection_glyph=invisible_circle2, nonselection_glyph=invisible_circle2) 
cr2t = p2.add_glyph(source, invisible_text2, selection_glyph=visible_text2, nonselection_glyph=invisible_text2) 

code = "source.set('selected', cb_data['index']);" 
callback = CustomJS(args={'source': source}, code=code) 
p.add_tools(HoverTool(tooltips=None, callback=callback, renderers=[cr, crt])) 
p2.add_tools(HoverTool(tooltips=None, callback=callback, renderers=[cr2, cr2t])) 
layout = gridplot([[p, p2]]) 
show(layout) 

輸出如下所示：

Answer 2

晚了一點，但是這是我的解決方案，如果有人想知道：

from bokeh.io import curdoc 
from bokeh.layouts import row 
from bokeh.plotting import figure 
from bokeh.models import ColumnDataSource, HoverTool, CustomJS 

x = list(range(-20, 21)) 
y0 = [abs(xx) for xx in x] 
y1 = [xx**2 for xx in x] 

# can be either the same source for all plots or different sources (as shown here) but the length of the sources should be the same 
source1 = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1)) 
source2 = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1)) 
code1 = "source1.set('selected', cb_data['index']);" 
code2 = "source2.set('selected', cb_data['index']);" 
callback = CustomJS(args={'source1': source1, 'source2': source2}, code=code1+code2) 

p1 = figure(tools=[], width=300, height=300, title=None, toolbar_location=None) 
p2 = figure(tools=[], width=300, height=300, title=None, toolbar_location=None) 
c1 = p1.circle(x='x', y='y0', source=source1) 
c2 = p2.circle(x='x', y='y1', source=source2) 
hover1 = HoverTool(callback=callback, renderers=[c1]) 
hover2 = HoverTool(callback=callback, renderers=[c2]) 
p1.add_tools(hover1) 
p2.add_tools(hover2) 

doc_layout = row([p1, p2]) 
curdoc().add_root(doc_layout)