Seaborn plot two data sets on the same scatter plot

Question

I have 2 data sets in Pandas Dataframe and I want to visualize them on the same scatter plot so I tried:

import matplotlib.pyplot as plt
import seaborn as sns

sns.pairplot(x_vars=['Std'], y_vars=['ATR'], data=set1, hue='Asset Subclass')
sns.pairplot(x_vars=['Std'], y_vars=['ATR'], data=set2, hue='Asset Subclass')
plt.show()

But all the time I get 2 separate charts instead of a single one How can I visualize both data sets on the same plot? Also can I have the same legend for both data sets but different colors for the second data set?

Answer 1

The following should work in the latest version of seaborn (0.9.0)

import matplotlib.pyplot as plt
import seaborn as sns

First we concatenate the two datasets into one and assign a dataset column which will allow us to preserve the information as to which row is from which dataset.

concatenated = pd.concat([set1.assign(dataset='set1'), set2.assign(dataset='set2')])

Then we use the sns.scatterplot function from the latest seaborn version (0.9.0) and via the style keyword argument set it so that the markers are based on the dataset column:

sns.scatterplot(x='Std', y='ATR', data=concatenated,
                hue='Asset Subclass', style='dataset')
plt.show()