How to combine two dataframes into pairplot?

Question

I have two dataframes df1 and df2 in Python, transformed from a numpy array in which df1 has 50 rows and 8 columns and df2 10 rows and 8 columns as well, and I would like to use pairplot to see these values. I have made something like this:

    df1=pd.DataFrame(data1)
    df2=pd.DataFrame(data2)
    sns.pairplot(df1)
    sns.pairplot(df2)
    plt.show()

But I would like that the points or histograms of the df2 to appear superimpose, for example, in red color to the df1 points which are in blue. How can I do that?

Asked By: Little

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Source

Answer 1

Using hue parameter in seaborn you can choose column that will differ them.

sns.pairplot(joined_df,hue='special_column_to_differ_df')

But you will have to join them first.

Answered By: Matus Hmelar

Answer 2

To illustrate problem I use iris dataset.
First produce 2 dataframes:

import seaborn as sns
iris = sns.load_dataset("iris")
df1 = iris[iris.species =='setosa']
df2 = iris[iris.species =='versicolor']

We have now Your starting point. Then concatenate dataframes and plot the result:

df12 = df1.append(df2)

g = sns.pairplot(df12, hue="species")

use hue parameter to separate points by color.

Answered By: ipj

How to combine two dataframes into pairplot?

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