如何避免重复的图例标签或通过自定义图例标签

How to avoid duplicate legend labels in plotly or pass custom legend labels(如何避免重复的图例标签或通过自定义图例标签)

问题描述

如何避免子图中重复的图例标签?我在 matplotlib 中进行此操作的一种方法是将自定义图例标签传递给图例对象.我在 plotly 中找不到任何等效选项的文档.有任何想法吗?

How can I avoid duplicate legend labels in subplots? One way I would go about it in matplotlib would be to pass custom legend labels to an legend object. I couldn't find any documentation for an equivalent option in plotly. Any ideas?

traces = []

colors = {'Iris-setosa': 'rgb(31, 119, 180)', 
          'Iris-versicolor': 'rgb(255, 127, 14)', 
          'Iris-virginica': 'rgb(44, 160, 44)'}

for col in range(4):
    for key in colors:
        traces.append(Histogram(x=X[y==key, col], 
                        opacity=0.75,
                        xaxis='x%s' %(col+1),
                        marker=Marker(color=colors[key]),
                        name=key
                        )
                     )

data = Data(traces)

layout = Layout(barmode='overlay',
                xaxis=XAxis(domain=[0, 0.25], title="c2VwYWwgbGVuZ3RoIChjbSk="),
                xaxis2=XAxis(domain=[0.3, 0.5], title="c2VwYWwgd2lkdGggKGNtKQ=="),
                xaxis3=XAxis(domain=[0.55, 0.75], title="cGV0YWwgbGVuZ3RoIChjbSk="),
                xaxis4=XAxis(domain=[0.8, 1], title="cGV0YWwgd2lkdGggKGNtKQ=="),
                yaxis=YAxis(title="Y291bnQ="),
                title="RGlzdHJpYnV0aW9uIG9mIHRoZSBkaWZmZXJlbnQgSXJpcyBmbG93ZXIgZmVhdHVyZXM=")

fig = Figure(data=data, layout=layout)

py.iplot(fig)

推荐答案

Plotly 在跟踪级别控制这个.尝试在您不想出现在图例中的 Histogram 跟踪中传入 showlegend=False.

Plotly controls this on the trace level. Try passing in showlegend=False inside the Histogram traces that you don't want to appear in the legend.

参考:https://plot.ly/python/reference/#Histogram-showlegend

示例:https://plot.ly/python/legend/#Hiding-图例条目

从上面的链接直接复制粘贴.

Direct copy-paste from the link above.

import plotly.plotly as py
from plotly.graph_objs import *
# Fill in with your personal username and API key
# or, use this public demo account
py.sign_in('Python-Demo-Account', 'gwt101uhh0')

trace1 = Scatter(
    x=[0, 1, 2],
    y=[1, 2, 3],
    name='First Trace',
    showlegend=False
)
trace2 = Scatter(
    x=[0, 1, 2, 3],
    y=[8, 4, 2, 0],
    name='Second Trace',
    showlegend=True
)
data = Data([trace1, trace2])
plot_url = py.plot(data, filename='show-legend')

你想看到的用法在上面的trace1中.

The usage you want to see is shown in trace1 above.

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