How can I overlay two graphs in Seaborn?

Question

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.

Screw

It's not clear what this question is asking. What kind of graph? You can make many kinds of graphs with seaborn, and the right approach will vary depending on what you're doing. What is the relationship between the variables? What does "preserving the labeling" mean? How do you wish to distinguish the two variables? In any case, to the extent that there is going to be a general answer, it will be an answer about matplotlib, not seaborn. – Arcboutant

(1) any kind of graph (2) of course (3) that the labels are still there. axis labels of both graphs for example (4) color for example – Screw

As already explained, it depends on what kinds of graph. In this related question I give an example of overlaying regplots by setting up a FacetGrid and add layers by map()ing. stackoverflow.com/questions/48145924 – Ambrosial

Answer 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)

Mandi

Thanks, the only downside is the labeling is not for both graphs. – Screw

@DavoudTaghawi-Nejad well you have the ax object, so you can do anything at that point, really. – Mandi

How would I add a legend in this case? – Fakir

@Fakir matplotlib.org/tutorials/intermediate/legend_guide.html – Mandi

At least in Seaborn 0.11, the last plot still overwrites and excludes prior plots – Embosom

Answer 2

One solution is to introduce a secondary 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()

Screw

it would probably help to have a legend in this case. to do so you can use the label-parameter in seaborn functions but apparently you need to call plt.legend() after each plotting function – Intrigue

Answer 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

Requisite