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)

本文介绍了如何避免重复的图例标签或通过自定义图例标签的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

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='sepal length (cm)'),
                xaxis2=XAxis(domain=[0.3, 0.5], title='sepal width (cm)'),
                xaxis3=XAxis(domain=[0.55, 0.75], title='petal length (cm)'),
                xaxis4=XAxis(domain=[0.8, 1], title='petal width (cm)'),
                yaxis=YAxis(title='count'),
                title='Distribution of the different Iris flower features')

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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