Back

Explore Courses Blog Tutorials Interview Questions
0 votes
3 views
in Python by (55.6k points)

Can anyone tell me what is kde in seaborn?

1 Answer

0 votes
by (119k points)

Kernel density estimation (KDE) is used to plot univariate or bivariate distributions to observe the distribution of observations in a dataset, analogous to a histogram. KDE helps us to understand the data using a continuous probability density curve.

iris = sns.load_dataset("iris") 

sns.kdeplot(data=iris)

To learn data visualization using Python, you can check out this Python Training Course by Intellipaat.

Also, you can watch this video on Python using Seaborn to know more:

Related questions

0 votes
1 answer
asked Oct 5, 2020 in Python by Sudhir_1997 (55.6k points)
0 votes
1 answer
asked Oct 5, 2020 in Python by Sudhir_1997 (55.6k points)
0 votes
1 answer
0 votes
1 answer
asked Oct 5, 2020 in Python by Sudhir_1997 (55.6k points)
0 votes
1 answer

Browse Categories

...