Seaborn Boxplot + Stripplot:重复图例

问题描述

您可以轻松地在 seaborn 中做出最酷的事情之一是 boxplot + stripplot 组合:

 将matplotlib.pyplot导入为plt将seaborn导入为sns将熊猫作为pd导入提示= sns.load_dataset(提示")sns.stripplot(x ="day"，y ="total_bill"，hue ="smoker"，数据=提示，抖动=真实，Palette ="Set2"，split = True，linewidth = 1，edgecolor ='gray')sns.boxplot(x ="day"，y ="total_bill"，hue ="smoker"，data = tips，palette ="Set2"，fliersize = 0)plt.legend(bbox_to_anchor =(1.05，1)，loc = 2，borderaxespad = 0.); 

不幸的是，如您在上面看到的，它产生了两个图例，一个用于箱形图，一个用于带状图.显然，它看起来很荒谬和多余.但是我似乎找不到摆脱 stripplot 图例而只留下 boxplot 图例的方法.可能可以以某种方式从 plt.legend 中删除项目，但是我无法在文档中找到它.

解决方案

您可以

One of the coolest things you can easily make in seaborn is boxplot + stripplot combination:

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

tips = sns.load_dataset("tips")

sns.stripplot(x="day", y="total_bill", hue="smoker",
data=tips, jitter=True,
palette="Set2", split=True,linewidth=1,edgecolor='gray')

sns.boxplot(x="day", y="total_bill", hue="smoker",
data=tips,palette="Set2",fliersize=0)

plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.);

Unfortunately, as you can see above, it produced double legend, one for boxplot, one for stripplot. Obviously, it looks ridiculous and redundant. But I cannot seem to find a way to get rid of stripplot legend and only leave boxplot legend. Probably, I can somehow delete items from plt.legend, but I cannot find it in the documentation.

解决方案

You can get what handles/labels should exist in the legend before you actually draw the legend itself. You then draw the legend only with the specific ones you want.

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

tips = sns.load_dataset("tips")

sns.stripplot(x="day", y="total_bill", hue="smoker",
data=tips, jitter=True,
palette="Set2", split=True,linewidth=1,edgecolor='gray')

# Get the ax object to use later.
ax = sns.boxplot(x="day", y="total_bill", hue="smoker",
data=tips,palette="Set2",fliersize=0)

# Get the handles and labels. For this example it'll be 2 tuples
# of length 4 each.
handles, labels = ax.get_legend_handles_labels()

# When creating the legend, only use the first two elements
# to effectively remove the last two.
l = plt.legend(handles[0:2], labels[0:2], bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)

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