Course Content
Ultimate Visualization with Python
Ultimate Visualization with Python
Seaborn Introduction
Seaborn is a high-level plotting library based on matplotlib
. Let’s have a look at its advantages in comparison to matplotlib
:
- simpler interface;
- a wide range of default styles and color palettes;
- works well with
pandas
DataFrame; - a wide range of built-in statistical functions.
Here is an example of a plot created using seaborn
with just one line of code:
Apparently, everything you can accomplish using seaborn
can be also done with matplotlib
, yet it may often take more time and effort.
However, matplotlib
being a rather low-level library in comparison, offers more flexibility for your plots, so if you need to create a rather unique plot with a lot of customizations, matplotlib
is still the best choice.
Task
Import the seaborn
library with the sns
alias.
Task
Import the seaborn
library with the sns
alias.
Everything was clear?
Seaborn Introduction
Seaborn is a high-level plotting library based on matplotlib
. Let’s have a look at its advantages in comparison to matplotlib
:
- simpler interface;
- a wide range of default styles and color palettes;
- works well with
pandas
DataFrame; - a wide range of built-in statistical functions.
Here is an example of a plot created using seaborn
with just one line of code:
Apparently, everything you can accomplish using seaborn
can be also done with matplotlib
, yet it may often take more time and effort.
However, matplotlib
being a rather low-level library in comparison, offers more flexibility for your plots, so if you need to create a rather unique plot with a lot of customizations, matplotlib
is still the best choice.
Task
Import the seaborn
library with the sns
alias.
Task
Import the seaborn
library with the sns
alias.
Everything was clear?
Seaborn Introduction
Seaborn is a high-level plotting library based on matplotlib
. Let’s have a look at its advantages in comparison to matplotlib
:
- simpler interface;
- a wide range of default styles and color palettes;
- works well with
pandas
DataFrame; - a wide range of built-in statistical functions.
Here is an example of a plot created using seaborn
with just one line of code:
Apparently, everything you can accomplish using seaborn
can be also done with matplotlib
, yet it may often take more time and effort.
However, matplotlib
being a rather low-level library in comparison, offers more flexibility for your plots, so if you need to create a rather unique plot with a lot of customizations, matplotlib
is still the best choice.
Task
Import the seaborn
library with the sns
alias.
Task
Import the seaborn
library with the sns
alias.
Everything was clear?
Seaborn is a high-level plotting library based on matplotlib
. Let’s have a look at its advantages in comparison to matplotlib
:
- simpler interface;
- a wide range of default styles and color palettes;
- works well with
pandas
DataFrame; - a wide range of built-in statistical functions.
Here is an example of a plot created using seaborn
with just one line of code:
Apparently, everything you can accomplish using seaborn
can be also done with matplotlib
, yet it may often take more time and effort.
However, matplotlib
being a rather low-level library in comparison, offers more flexibility for your plots, so if you need to create a rather unique plot with a lot of customizations, matplotlib
is still the best choice.
Task
Import the seaborn
library with the sns
alias.