How To Use Seaborn Color Palette to Color Boxplot? (original) (raw)

Box Plot is the visual representation of the depicting groups of numerical data through their quartiles. Boxplot is also used to detect the outlier in the data set. It captures the summary of the data efficiently with a simple box and whiskers and allows us to compare easily across groups.

Adding the right set of colors to Boxplot can reveal a lot of different patterns that were not seen before. Seaborn Color Palette makes it really easy to add colors in Boxplot. This article will explain how to use the Seaborn color palette to color Boxplots.

This can be done by adding a palette argument inside the boxplot() function and giving it any predefined seaborn color palette value like "Set1", "Set2", "Paired", "Set3" etc.

Step 1: Creating a Dataframe.

Step 3: Create a boxplot to use a palette.

Possible palette values are:

Accent, Accent_r, Blues, Blues_r, BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r,

CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens, Greens_r, Greys, Greys_r,

OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r,

Pastel2, Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd,

PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy, RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r,

RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral,

Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd,

YlOrRd_r, afmhot, afmhot_r, autumn, autumn_r, binary, binary_r, bone, bone_r, brg, brg_r,

bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, copper, copper_r, cubehelix