直接标签和悬停信息在情节上有所不同 [英] Direct labels and hover info to be different in plotly

问题描述

我有堆积的条形图.在条形图的细分上，我想添加数字(y值)，在鼠标悬停时，我想显示一些不同的信息(而不是name或x或y值).

I have a stacked bar chart. On the segments in the bar chart I want to add the numbers (y values) and on hover I want some different information to be shown (not name or x or y values).

有可能吗?从我看到的hoverinfo来看，我们只复制文本中的值或添加名称.

Is it possible? From what I can see hoverinfo let's you only duplicate the values in text or add the name.

import plotly
from plotly.graph_objs import Layout, Bar

hoverinformation = ["test", "test2", "test3", "test4"] # this info I would like it on hover
data = []
for index, item in enumerate(range(1,5)): 
    data.append(
        Bar(
            x="da",
            y=[item],
            name="Some name", # needs to be different than the hover info
            text=item,
            hoverinfo="text",
            textposition="auto"
        )
    )

layout = Layout(
    barmode='stack',
)

plotly.offline.plot({
    "data": data,
    "layout": layout
})

这是一个简单的堆栈栏，悬停时的值将在pandas数据框中或在变量hoverinformation

This is a simple stack bar and the value on hover would be either in a pandas dataframe or in a variable hoverinformation

最好是一种不涉及在另一个之上创建2个地块的解决方案...

Preferably a solution that doesn't involve the creation of 2 plots one on top of the other...

推荐答案

是的，您可以使用hovertext元素执行此操作. 文档

Yes you can do this by using the hovertext element. Docs

import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)


hoverinformation = ["test", "test2", "test3", "test4"] # this info I would like it on hover
data = []
for index, item in enumerate(range(1,5)): 
    data.append(
        go.Bar(
            x="da",
            y=[item],
            hovertext=hoverinformation[index], # needs to be different than the hover info
            text=[item],
            hoverinfo="text",
            name="example {}".format(index),  # <- different than text
            textposition="auto",

        )
    )

layout = go.Layout(
    barmode='stack',
)

iplot({
    "data": data,
    "layout": layout
})

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