Seaborn pairwise matrix of hexbin jointplots

matplotlib, plot, python, seaborn

Solution

See the last example in the tutorial on using custom functions with `FacetGrid`, which I'll reproduce here:

def hexbin(x, y, color, **kwargs):
    cmap = sns.light_palette(color, as_cmap=True)
    plt.hexbin(x, y, gridsize=15, cmap=cmap, **kwargs)

g = sns.FacetGrid(tips, hue="time", col="time", size=4)
g.map(hexbin, "total_bill", "tip", extent=[0, 50, 0, 10])

Problem

I am trying to produce a matrix of pairwise plots comparing distributions (something like this). Since I have many points I want to use a hexbin plot to reduce time and plot complexity. ``` import seaborn as sns import matplotlib.pyplot as plt tips = sns.load_dataset("tips") g = sns.FacetGrid(tips, col="time", row="sex") g.map(sns.jointplot, "total_bill", "tip", kind="hex") plt.show() ``` Nevertheless, instead of creating the matrix of plots it creates several plots independently in various windows. I also thought of using `seaborn.pairplot` to produce this but I can not pass `"hex"` as a value to `kind`.

Original source