There are three general kinds of color palettes available in seaborn--qualitative, diverging, and sequential:
- Qualitative palettes are best for data with discrete levels or nominal or categorical data. Custom qualitative palettes can be created by providing a list of Matplotlib colors to seaborn.color_palette.
- Diverging palettes are used for highlighting low and high values in a figure, with a neutrally colored midpoint. Custom diverging palettes can be created by passing two hue values plus the optional lightness and saturation values for the extremes to the seaborn.diverging_palette function.
- Sequential palettes are usually used for quantitative data that progresses continuously from low to high. Custom ...