Contenido del Curso
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.
Swipe to show code editor
Import the seaborn
library with the sns
alias.
¡Gracias por tus comentarios!
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.
Swipe to show code editor
Import the seaborn
library with the sns
alias.
¡Gracias por tus comentarios!
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.
Swipe to show code editor
Import the seaborn
library with the sns
alias.
¡Gracias por tus comentarios!
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.
Swipe to show code editor
Import the seaborn
library with the sns
alias.