Seaborn:如何使用多个折线图制作子图?sns.relplot 好像不支持? [英] Seaborn: how to make subplots with multiple line charts? sns.relplot doesn't seem to support it?

问题描述

seaborn 文档区分了图形级和轴级函数:

您也可以单独使用 seaborn as

制作线图

导入 seaborn 为 sns将 numpy 导入为 npx = np.linspace(0, 5, 100)y = x**2ax = sns.lineplot(x, y)ax.set_xlabel('x-label')ax.set_ylabel('y-label')

The seaborn documentation makes a distinction between figure-level and axes-level functions: https://seaborn.pydata.org/introduction.html#figure-level-and-axes-level-functions

I understand that functions like sns.boxplot can take an axis as argument, and can therefore be used within subplots.

But how about sns.relplot() ? Is there no way to put that into subplots?

More generally, is there any way to get seaborn to generate line plots within subplots?

For example, this doesn't work:

fig,ax=plt.subplots(2)
sns.relplot(x,y, ax=ax[0])

because relplot doesn't take axes as an argument.

解决方案

Well that's not true. You can indeed pass axis objects to relplot. Below is a minimal answer. The key point here is to close the empty axis objects returned by relplot. You can then also use ax[0] or ax[1] to add additional curves to your individual subfigures just like you would do with matplotlib.

import seaborn as sns
import matplotlib.pyplot as plt

fig, ax = plt.subplots(2)

xdata = np.arange(50)

sns.set(style="ticks")
tips = sns.load_dataset("tips")
g1 = sns.relplot(x="total_bill", y="tip", hue="day", data=tips, ax=ax[0])
g2 = sns.relplot(x="total_bill", y="tip", hue="day", data=tips, ax=ax[1])

# Now you can add any curves to individual axis objects 
ax[0].plot(xdata, xdata/5) 

# You will have to close the additional empty figures returned by replot
plt.close(g1.fig)
plt.close(g2.fig) 
plt.tight_layout()

You can also make line plot solely using seaborn as

import seaborn as sns
import numpy as np

x = np.linspace(0, 5, 100)
y = x**2

ax = sns.lineplot(x, y)
ax.set_xlabel('x-label')
ax.set_ylabel('y-label') 

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