如何使图例跨越两列 [英] how to make a plotly legend span two columns
问题描述
我正在使用绘图图绘制大量数据的比较.
描述每行的字符串往往会变长,因此我需要将它们设置为多行.
但是,在许多情节中,图例可以在屏幕外显示.
我想将图例分为两列.
有办法做到这一点吗?观察help(plotly.graph_objs.Legend)
,没有ncol或类似matplotlib的参数,而且在可打印的文档中找不到对此的任何引用.
I am plotting a comparison of lots of data using a plotly graph.
The strings describing each line tend to get long, so I need to make them multiline.
However, with many plots, the legend can run off the screen.
I would like to split the legend into two columns.
Is there a way to do this in plotly? Looking at help(plotly.graph_objs.Legend)
there is no ncol or similar argument as matplotlib has, and I can't find any reference to this in the plotly documentation.
这是一些示例代码:
import numpy as np
import matplotlib.cm as cm
py.sign_in("XXX", "XXXX")
N = 10
colors=['rgba(%f,%f,%f,%f)' % tuple(c) for c in cm.rainbow((np.linspace(0,1,N)),bytes=True)]
data = []
lab = 'Long<br>Multiline<br>string<br>describing %s'
for i in range(0,N):
x = np.linspace(0,np.random.uniform(5,10),10)
y = np.linspace(1,np.random.uniform(0,1),10)
label = lab % i
d = Scatter(
x=x,y=y,
mode='lines',
name=label,text=(label,)*len(x),
xaxis='x1',yaxis='y1',
line=Line( color=colors[i]) )
data.append(d)
py.iplot(data)
推荐答案
不幸的是,plotly还不支持多列图例.
Unfortunately, plotly does not support multi-column legends yet.
一种解决方法是使用注释.考虑,
One work around would be using annotations. Consider,
import plotly.plotly as py
from plotly.graph_objs import *
import numpy as np
import matplotlib.cm as cm
N = 10
colors=['rgba(%f,%f,%f,%f)' % tuple(c) for c in cm.rainbow((np.linspace(0,1,N)),bytes=True)]
data = []
annotations = []
lab = 'Long<br>Multiline<br>string<br>describing %s'
for i in range(0, N):
x = np.linspace(0, np.random.uniform(5, 10), 10)
y = np.linspace(1, np.random.uniform(0, 1), 10)
label = lab % i
d = Scatter(
x=x,y=y,
mode='lines',
name=label,text=(label,)*len(x),
xaxis='x1',yaxis='y1',
line=Line( color=colors[i]) )
data.append(d)
a = Annotation(
text=label,
font=Font( color=colors[i] ),
x=i, y=1,
xref='page', yref='page'
)
annotations.append(a)
layout = Layout(
showlegend=False,
annotations=annotations
)
py.plot({'data': data, 'layout': layout}, filename='multi-column-legend')
产生 https://plot.ly/~etpinard/2192/
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