Seaborn pairplot

>>> import seaborn as sns; sns.set(style="ticks", color_codes=True)
>>> iris = sns.load_dataset("iris")
>>> g = sns.pairplot(iris)

Source: seaborn.pydata.org

Pairplot with selected field

pp = sns.pairplot(data=data,
                  x_vars=['age'],
                  y_vars=['weight', 'height', 'happiness'])

Seaborn pairplot

import seaborn as sns
sns.set_theme(style="ticks")
df = sns.load_dataset("penguins")
sns.pairplot(df, hue="species")

Source: seaborn.pydata.org

Pair Plot Seaborn

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

sns.pairplot(tips)

sns.pairplot(tips,hue='sex',palette='coolwarm') 
// hue gives legend color

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