Seaborn Palette widgets - Introduction



Palette widgets can be categorized into the various three kinds. Namely, qualitative, sequential and diverging. In the coming chapters we will understand and explore all these in great detail.

Qualitative palettes

When a variable is categorical in nature, a qualitative palette is employed, and the color assigned to each group must be distinct. One color from a qualitative palette is assigned to each potential value of the variable. To understand an example of this, the following graph can be used.

sns.barplot(x=["A", "B", "C"], y=[10, 30, 23])

The following output is produced.

Palette_widgets

Sequential Palettes

Colors in successive palettes changed gradually from lighter to darker. A sequential palette can be used to represent a variable when it has numerical values or intrinsically ordered values, as seen in the figure.

Sequential_Palettes

Diverging palettes

Diverging palettes are the ideal for visualizing mixed value tasks, such as +ve and -ve (low and high values).

Functions

The list of all the Seaborn functions regarding Palette widgets is given below −

S.No Method and Description
1 choose_colorbrewer_palette()

This method enables the user to choose colors present in the given options.

2 choose_cubehelix_palette() method

This method enable widgets to choose colors in the cubehelix palette.

3 choose_light_palette() method

This method is used to create a light sequential palette as an interactive widget.

4 choose_dark_palette() method

This method is used to create a dark sequential palette as an interactive widget.

5 choose_diverging_palette() method

This method launches a widget that enables easy access to the user in choosing a diverging palette.

seaborn_function_reference.htm
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