Python 如何在 Seaborn 中叠加两个图形？
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How can I overlay two graphs in Seaborn?
提问by Davoud Taghawi-Nejad
How can I overlay two graphs in Seaborn? I have two columns in my data I would like to have them in the same graph. How can I do it preserving the labeling for both graphs.
如何在 Seaborn 中叠加两个图形？我的数据中有两列我希望将它们放在同一个图表中。我如何才能保留两个图的标签。
采纳答案by Paul H
seaborn function that operate on a single Axes can take one as an argument.
在单个轴上运行的 seaborn 函数可以将一个轴作为参数。
For instance, the docs to seaborn.kdeplotinclude:
例如，要seaborn.kdeplot包括的文档：
ax : matplotlib axis, optional
Axis to plot on, otherwise uses current axis
So if you did:
所以如果你这样做：
df = function_to_load_my_data()
fig, ax = plt.subplots()
You could then do:
然后你可以这样做：
seaborn.kdeplot(df['col1'], ax=ax)
seaborn.kdeplot(df['col2'], ax=ax)
回答by user2707389
The simplest example would be:
最简单的例子是：
import matplotlib.pyplot as plt
data1 = [1, 2, 3, 4, 5]
data2 = [1, 1.1, 1.3, 4, 4.1]
def plotter():
plt.plot(data1)
plt.plot(data2)
plt.show()
plotter()
回答by Davoud Taghawi-Nejad
One solution is to introduce a secordary axis:
一种解决方案是引入一个辅助轴：
fig, ax = plt.subplots()
sb.regplot(x='round', y='money', data=firm, ax=ax)
ax2 = ax.twinx()
sb.regplot(x='round', y='dead', data=firm, ax=ax2, color='r')
sb.plt.show()
回答by Omar Villa
The data is about Private vs Public collage data but works, as we can see we load all the global parameters to a seaborn object and later we map the charts to the same pane.
数据是关于私人与公共拼贴数据但有效，因为我们可以看到我们将所有全局参数加载到一个 seaborn 对象，然后我们将图表映射到同一个窗格。
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
df = pd.read_csv('College_Data',index_col=0)
g = sns.FacetGrid(df,hue='Private',palette='coolwarm',size=6,aspect=2)
g.map(plt.hist,'Outstate',bins=20,alpha=0.7)
