Multiple Seaborn plots in a grid

seabornfig2grid.py

# https://stackoverflow.com/questions/35042255/how-to-plot-multiple-seaborn-jointplot-in-subplot

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import seaborn as sns
import numpy as np


class SeabornFig2Grid():

    def __init__(self, seaborngrid, fig,  subplot_spec):
        self.fig = fig
        self.sg = seaborngrid
        self.subplot = subplot_spec
        if (isinstance(self.sg, sns.axisgrid.FacetGrid) or isinstance(self.sg, sns.axisgrid.PairGrid)):
            self._movegrid()
        elif isinstance(self.sg, sns.axisgrid.JointGrid):
            self._movejointgrid()
        self._finalize()

    def _movegrid(self):
        """ Move PairGrid or Facetgrid """
        self._resize()
        n = self.sg.axes.shape[0]
        m = self.sg.axes.shape[1]
        self.subgrid = gridspec.GridSpecFromSubplotSpec(
            n, m, subplot_spec=self.subplot)
        for i in range(n):
            for j in range(m):
                self._moveaxes(self.sg.axes[i, j], self.subgrid[i, j])

    def _movejointgrid(self):
        """ Move Jointgrid """
        h = self.sg.ax_joint.get_position().height
        h2 = self.sg.ax_marg_x.get_position().height
        r = int(np.round(h / h2))
        self._resize()
        self.subgrid = (gridspec.GridSpecFromSubplotSpec(r + 1, r + 1,
                        subplot_spec=self.subplot))

        self._moveaxes(self.sg.ax_joint, self.subgrid[1:, :-1])
        self._moveaxes(self.sg.ax_marg_x, self.subgrid[0, :-1])
        self._moveaxes(self.sg.ax_marg_y, self.subgrid[1:, -1])

    def _moveaxes(self, ax, gs):
        # https://stackoverflow.com/a/46906599/4124317
        ax.remove()
        ax.figure = self.fig
        self.fig.axes.append(ax)
        self.fig.add_axes(ax)
        ax._subplotspec = gs
        ax.set_position(gs.get_position(self.fig))
        ax.set_subplotspec(gs)

    def _finalize(self):
        plt.close(self.sg.fig)
        self.fig.canvas.mpl_connect("resize_event", self._resize)
        self.fig.canvas.draw()

    def _resize(self, evt=None):
        self.sg.fig.set_size_inches(self.fig.get_size_inches())

Hi, thank you for sharing this solution! I am wondering how can we save the figure as a pdf file if using your function. When I tried to do fig.savefig('xxx.pdf'), I will lose the marginal distribution plots in the file. I think it is due to the fact that we removed some axes, making it very tricky. Would appreciate it if you can help to figure it out.

@YuHuang3019 a lot has changed in seaborne and I haven't used the pdf export myself.

As an alternative solution you could try Altair which is my current default plotting library: https://iliatimofeev.github.io/altair-viz.github.io/gallery/scatter_marginal_hist.html

You can export Altair plots in different formats for downstream processing.

@dkapitan Hi Daniel, thank you so much for sharing this package with me. I just realized that I did plot out the marginal distributions but somehow the color and linewidth for the distributions are too light/small to show. I checked the pdf files on the browser before and I could not see the distribution plots. I later downloaded the file, zoomed in the pdf, and then I was able to figure this out. Sincerely thank you again for your quick response!