如何为图形级函数编辑 seaborn 图例标题和标签 [英] How to edit a seaborn legend title and labels for figure-level functions

问题描述

我使用 Seaborn 和 Pandas 数据框 (data) 创建了这个图:

I've created this plot using Seaborn and a pandas dataframe (data):

我的代码:

g = sns.lmplot('credibility', 'percentWatched', data=data, hue = 'millennial', markers = ["+", "."], x_jitter = True, y_jitter = True, size=5)
g.set(xlabel = 'Credibility Ranking
 ← Low       High  →', ylabel = 'Percent of Video Watched [%]')

您可能注意到图的图例标题只是变量名称('millennial')，图例项是变量的值(0, 1).如何编辑图例的标题和标签?理想情况下，传奇的标题应该是世代"，标签应该是千禧一代".和老一代"

You may notice the plot's legend title is simply the variable name ('millennial') and the legend items are the variable's values (0, 1). How can I edit the legend's title and labels? Ideally, the legend's title would be 'Generation' and the labels would be "Millennial" and "Older Generations"

推荐答案

• 如果 legend_out 设置为 True，则图例可通过 g._legend 属性获得，并且它是图形的一部分.Seaborn 图例是标准的 matplotlib 图例对象.因此，您可以更改图例文本.
• 在python 3.8.11、matplotlib 3.4.3、seaborn 0.11.2
• If legend_out is set to True then legend is available through the g._legend property and it is a part of a figure. Seaborn legend is standard matplotlib legend object. Therefore you may change legend texts.
• Tested in python 3.8.11, matplotlib 3.4.3, seaborn 0.11.2

import seaborn as sns

# load the tips dataset
tips = sns.load_dataset("tips")

# plot
g = sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips, markers=["o", "x"], facet_kws={'legend_out': True})

# title
new_title = 'My title'
g._legend.set_title(new_title)
# replace labels
new_labels = ['label 1', 'label 2']
for t, l in zip(g._legend.texts, new_labels):
    t.set_text(l)

如果 legend_out 设置为 False 的另一种情况.您必须定义哪些轴具有图例(在下面的示例中，这是轴编号 0):

Another situation if legend_out is set to False. You have to define which axes has a legend (in below example this is axis number 0):

g = sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips, markers=["o", "x"], facet_kws={'legend_out': False})

# check axes and find which is have legend
leg = g.axes.flat[0].get_legend()
new_title = 'My title'
leg.set_title(new_title)
new_labels = ['label 1', 'label 2']
for t, l in zip(leg.texts, new_labels):
    t.set_text(l)

此外，您可以结合这两种情况并使用此代码:

Moreover you may combine both situations and use this code:

g = sns.lmplot(x="total_bill", y="tip", hue="smoker", data=tips, markers=["o", "x"], facet_kws={'legend_out': True})

# check axes and find which is have legend
for ax in g.axes.flat:
    leg = g.axes.flat[0].get_legend()
    if not leg is None: break
# or legend may be on a figure
if leg is None: leg = g._legend

# change legend texts
new_title = 'My title'
leg.set_title(new_title)
new_labels = ['label 1', 'label 2']
for t, l in zip(leg.texts, new_labels):
    t.set_text(l)

此代码适用于任何基于 的 seaborn 图网格类.

This code works for any seaborn plot which is based on Grid class.

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