Question

我按照指南进行了操作：

https://plot.ly/python/filled-chord-diagram/

我制作了这个：

在指南中，我按照ribbon_info代码将hoverinfo添加到连接功能区，但没有显示。我可以让hoverinfo只显示功能区结束。谁能看到我错在哪里？

ribbon_info=[]
for k in range(L):

    sigma=idx_sort[k]
    sigma_inv=invPerm(sigma)
    for j in range(k, L):
        if matrix[k][j]==0 and matrix[j][k]==0: continue
        eta=idx_sort[j]
        eta_inv=invPerm(eta)
        l=ribbon_ends[k][sigma_inv[j]]  

        if j==k:
            layout['shapes'].append(make_self_rel(l, 'rgb(175,175,175)' ,
                                    ideo_colors[k], radius=radii_sribb[k]))
            z=0.9*np.exp(1j*(l[0]+l[1])/2)
            #the text below will be displayed when hovering the mouse over the ribbon
            text=labels[k]+' appears on'+ '{:d}'.format(matrix[k][k])+' of the same grants as  '+ '',
            ribbon_info.append(Scatter(x=z.real,
                                       y=z.imag,
                                       mode='markers',
                                       marker=Marker(size=5, color=ideo_colors[k]),
                                       text=text,
                                       hoverinfo='text'
                                       )
                              )
        else:
            r=ribbon_ends[j][eta_inv[k]]
            zi=0.9*np.exp(1j*(l[0]+l[1])/2)
            zf=0.9*np.exp(1j*(r[0]+r[1])/2)
            #texti and textf are the strings that will be displayed when hovering the mouse 
            #over the two ribbon ends
            texti=labels[k]+' appears on '+ '{:d}'.format(matrix[k][j])+' of the same grants as '+\
                  labels[j]+ '',

            textf=labels[j]+' appears on '+ '{:d}'.format(matrix[j][k])+' of the same grants as '+\
                  labels[k]+ '',
            ribbon_info.append(Scatter(x=zi.real,
                                       y=zi.imag,
                                       mode='markers',
                                       marker=Marker(size=0.5, color=ribbon_color[k][j]),
                                       text=texti,
                                       hoverinfo='text'
                                       )
                              ),
            ribbon_info.append(Scatter(x=zf.real,
                                       y=zf.imag,
                                       mode='markers',
                                       marker=Marker(size=0.5, color=ribbon_color[k][j]),
                                       text=textf,
                                       hoverinfo='text'
                                       )
                              )
            r=(r[1], r[0])#IMPORTANT!!!  Reverse these arc ends because otherwise you get
                          # a twisted ribbon
            #append the ribbon shape
            layout['shapes'].append(make_ribbon(l, r , 'rgb(255,175,175)', ribbon_color[k][j]))

变量的输出如下：

texti = (u'Sociology appears on 79 of the same grants as Tools, technologies & methods',)

textf = (u'Tools, technologies & methods appears on 79 of the same grants as Sociology',)

ribbon_info = [{'hoverinfo': 'text',
  'marker': {'color': 'rgba(214, 248, 149, 0.65)', 'size': 0.5},
  'mode': 'markers',
  'text': (u'Demography appears on 51 of the same grants as Social policy',),
  'type': 'scatter',
  'x': 0.89904409911342476,
  'y': 0.04146936036799545},
 {'hoverinfo': 'text',
  'marker': {'color': 'rgba(214, 248, 149, 0.65)', 'size': 0.5},
  'mode': 'markers',
  'text': (u'Social policy appears on 51 of the same grants as Demography',),
  'type': 'scatter',
  'x': -0.65713108202353809,
  'y': -0.61496238993825791},..................**etc**

sigma = array([ 0, 14, 12, 10,  9,  7,  8,  5,  4,  3,  2,  1,  6, 16, 13, 11, 15], dtype=int64)

构建和弦图的上一个块之后的代码如下：

ideograms=[]
for k in range(len(ideo_ends)):
    z= make_ideogram_arc(1.1, ideo_ends[k])
    zi=make_ideogram_arc(1.0, ideo_ends[k])
    m=len(z)
    n=len(zi)
    ideograms.append(Scatter(x=z.real,
                             y=z.imag,
                             mode='lines',
                             line=Line(color=ideo_colors[k], shape='spline', width=0),
                             text=labels[k]+'<br>'+'{:d}'.format(row_sum[k]), 
                             hoverinfo='text'
                             )
                     )


    path='M '
    for s in range(m):
        path+=str(z.real[s])+', '+str(z.imag[s])+' L '

    Zi=np.array(zi.tolist()[::-1]) 

    for s in range(m):
        path+=str(Zi.real[s])+', '+str(Zi.imag[s])+' L '
    path+=str(z.real[0])+' ,'+str(z.imag[0]) 

    layout['shapes'].append(make_ideo_shape(path,'rgb(150,150,150)' , ideo_colors[k]))

data = Data(ideograms+ribbon_info)
fig=Figure(data=data, layout=layout) 

plotly.offline.iplot(fig, filename='chord-diagram-Fb')

这是唯一显示外部标签的hoverinfo，而不是内部标签：

使用我问题开头链接中的示例。他们有两套标签。在我的例子中，相当于'Isabelle已经评论过索菲亚的32个......＆＃39;没有显示。

Answer 1

我找到了解决方案。事实证明，ribbon_info不喜欢离线运行，只要我在网上做了它就表明了。即它不会在plotly.offline中运行。你必须在线完成

编辑：不确定为什么downvoted，很多人使用plotly offline。希望这有帮助！

Answer 2

两年前Plotly发布了和弦图生成代码。同时在Plotly形状的定义中进行了一些改变。要使工具提示在离线模式下工作，您应该：

1）插入行

layer='below'

函数make_ideo_shape，make_ribbon，make_self_rel在返回的词典中

;

2）在包含列表ribbon_info定义的单元格中，将包含ribbon_info.append，x和y指定值的三行中的每一行更改为包含这些值的列表：< / p>

x=[z.real],
y=[z.imag],

x=[zi.real],
y=[zi.imag],

分别

，

x=[zf.real],
y=[zf.imag],

现在更新相应的笔记本https://plot.ly/python/filled-chord-diagram/。感谢Python StackOverflow @PythonStack指出这个错误，在这里：https://twitter.com/PythonStack/status/914924595953721344

Python和弦图（Plotly） - 交互式工具提示

2 个答案: