How can I overlay two graphs in Seaborn?

问题:

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.

回答1:

seaborn function that operate on a single Axes can take one as an argument.

For instance, the docs to seaborn.kdeplot include:

ax : matplotlib axis, optional
    Axis to plot on, otherwise uses current axis

So if you did:

df = function_to_load_my_data()
fig, ax = plt.subplots()

You could then do:

seaborn.kdeplot(df['col1'], ax=ax)
seaborn.kdeplot(df['col2'], ax=ax)

回答2:

One solution is to introduce a secordary axis:

    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3:

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.

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)

See Chart

回答4:

The simplest example would be:

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()