Plot rectangular data as a color-encoded matrix. This is an Axes-level function and will draw the heatmap into the currently-active Axes if none is provided to the ax argument. Part of this Axes …

The most important function for working with color palettes is, aptly, color_palette(). This function provides an interface to most of the possible ways that one can generate color palettes in …

List of colors to label for either the rows or columns. Useful to evaluate whether samples within a group are clustered together. Can use nested lists or DataFrame for multiple color levels of …

Scatterplot heatmap# seaborn components used: set_theme(), load_dataset(), relplot()

Annotated heatmaps# seaborn components used: set_theme(), load_dataset(), heatmap()

Return a list of colors or continuous colormap defining a palette. Possible palette values include: Name of a seaborn palette (deep, muted, bright, pastel, dark, colorblind)

Make a sequential palette that blends from light to color. The color parameter can be specified in a number of ways, including all options for defining a color in matplotlib and several additional …

seaborn components used: set_theme(), diverging_palette(), heatmap() from string import ascii_letters import numpy as np import pandas as pd import seaborn as sns import …

Make a diverging palette between two HUSL colors. If you are using the IPython notebook, you can also choose this palette interactively with the choose_diverging_palette() function. …

Variable in data to map plot aspects to different colors. hue_order list of strings. Order for the levels of the hue variable in the palette. palette dict or seaborn color palette. Set of colors for …