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Deep Dive into the seaborn Visualization
Kdeplot
![](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/deep+dive/d3.png)
A kdeplot
plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/1.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/2.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/3.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/4.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/5.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/6.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/7.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/8.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/9.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/10.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/11.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/12.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/13.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/14.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/15.gif?w=3840&q=75)
Task
- Create the kdeplot using the
seaborn
library:
- Set the
x
parameter equals the'max_temp'
; - Set the
hue
parameter equals the'month'
; - Set the
multiple
parameter equals the'stack'
; - Disable the
legend
; - Add the filling;
- Set the data;
- Display the plot.
Everything was clear?
Section 2. Chapter 2
Course Content
Deep Dive into the seaborn Visualization
1. Light Start
4. Matrix Plots
Deep Dive into the seaborn Visualization
Kdeplot
![](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/deep+dive/d3.png)
A kdeplot
plot is a method for visualizing the distribution of observations in a dataset analogous to a histogram. KDE represents the data using a continuous probability density curve in one or more dimensions.
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/1.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/2.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/3.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/4.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/5.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/6.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/7.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/8.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/9.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/10.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/11.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/12.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/13.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/14.gif?w=3840&q=75)
![carousel-img](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656.upd/kdeplot+gifs/15.gif?w=3840&q=75)
Task
- Create the kdeplot using the
seaborn
library:
- Set the
x
parameter equals the'max_temp'
; - Set the
hue
parameter equals the'month'
; - Set the
multiple
parameter equals the'stack'
; - Disable the
legend
; - Add the filling;
- Set the data;
- Display the plot.
Everything was clear?
Section 2. Chapter 2