How to save a Seaborn plot into a file

Question

I tried the following code (test_seaborn.py):

import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
matplotlib.style.use('ggplot')
import seaborn as sns
sns.set()
df = sns.load_dataset('iris')
sns_plot = sns.pairplot(df, hue='species', size=2.5)
fig = sns_plot.get_figure()
fig.savefig("output.png")
#sns.plt.show()

But I get this error:

  Traceback (most recent call last):
  File "test_searborn.py", line 11, in <module>
    fig = sns_plot.get_figure()
AttributeError: 'PairGrid' object has no attribute 'get_figure'

I expect the final output.png will exist and look like this:

How can I resolve the problem?

Answer 1

Remove the get_figure and just use sns_plot.savefig('output.png')

df = sns.load_dataset('iris')
sns_plot = sns.pairplot(df, hue='species', size=2.5)
sns_plot.savefig("output.png")

Answer 2

I use distplot and get_figure to save picture successfully.

sns_hist = sns.distplot(df_train['SalePrice'])
fig = sns_hist.get_figure()
fig.savefig('hist.png')

Answer 3

Its also possible to just create a matplotlib figure object and then use plt.savefig(...):

from matplotlib import pyplot as plt
import seaborn as sns
import pandas as pd

df = sns.load_dataset('iris')
plt.figure() # Push new figure on stack
sns_plot = sns.pairplot(df, hue='species', size=2.5)
plt.savefig("output.png") # Save that figure

Answer 4

You should just be able to use the savefig method of sns_plot directly.

sns_plot.savefig("output.png")

For clarity with your code if you did want to access the matplotlib figure that sns_plot resides in then you can get it directly with

fig = sns_plot.fig

In this case there is no get_figure method as your code assumes.

Answer 5

Just FYI, the below command worked in seaborn 0.8.1 so I guess the initial answer is still valid.

sns_plot = sns.pairplot(data, hue='species', size=3)
sns_plot.savefig("output.png")

Answer 6

You would get an error for using sns.figure.savefig("output.png") in seaborn 0.8.1.

Instead use:

import seaborn as sns

df = sns.load_dataset('iris')
sns_plot = sns.pairplot(df, hue='species', size=2.5)
sns_plot.savefig("output.png")