使用Bokeh将图例放置在情节区域之外 [英] Position the legend outside the plot area with Bokeh
本文介绍了使用Bokeh将图例放置在情节区域之外的处理方法,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
我正在按照此处
不幸的是,我需要显示17条曲线,图例与它们重叠.我知道我可以创建一个图例对象,该对象可以显示在绘图区域之外,例如此处,但是我有17条曲线,因此使用循环会更加方便.
Unfortunately, I have 17 curves I need to display, and the legend overlaps them. I know I can create a legend object that can be displayed outside the plot area like here, but I have 17 curves so using a loop is much more convenient.
您知道如何结合这两种方法吗?
Do you know how to combine both methods?
推荐答案
好,我找到了解决方案.在下面的代码中,我刚刚修改了交互式图例示例:
Ok, I found the solution. See the code below where I have just modified the interactive legend example:
import pandas as pd
from bokeh.palettes import Spectral4
from bokeh.plotting import figure, output_file, show
from bokeh.sampledata.stocks import AAPL, IBM, MSFT, GOOG
from bokeh.models import Legend
from bokeh.io import output_notebook
output_notebook()
p = figure(plot_width=800, plot_height=250, x_axis_type="datetime", toolbar_location='above')
p.title.text = 'Click on legend entries to mute the corresponding lines'
legend_it = []
for data, name, color in zip([AAPL, IBM, MSFT, GOOG], ["AAPL", "IBM", "MSFT", "GOOG"], Spectral4):
df = pd.DataFrame(data)
df['date'] = pd.to_datetime(df['date'])
c = p.line(df['date'], df['close'], line_width=2, color=color, alpha=0.8,
muted_color=color, muted_alpha=0.2)
legend_it.append((name, [c]))
legend = Legend(items=legend_it, location=(0, -60))
legend.click_policy="mute"
p.add_layout(legend, 'right')
show(p)
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