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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
pandasDataFrame; - 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.
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
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
pandasDataFrame; - 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.
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів