解决SeabornFig2Grid中jointplot色条重叠及标签截断问题

核心思路是不在jointplot的独立画布中创建颜色条，而是在最终的大画布中统一分配颜色条位置，同时优化网格布局比例，避免元素重叠和标签截断：

关键修改点 #

1. 保存hist2d返回的图像对象，用于后续在大画布中创建颜色条
2. 删除jointplot画布中创建颜色条的代码，避免位置冲突
3. 调整GridSpec的宽度比例，给颜色条预留足够空间，同时适配整体画布尺寸
4. 在大画布中为每个jointplot单独创建颜色条，并通过gridspec绑定对应位置

修改后的完整代码 #

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

class SeabornFig2Grid():
    """Allow seaborn figure-level figs to be suplots."""
    
    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()
        elif isinstance(self.sg, matplotlib.axes._axes.Axes):
            self._moveaxis()
        self._finalize()
    
    def _moveaxis(self):
        self._resize()
        self.subgrid = gridspec.GridSpecFromSubplotSpec(1, 1, subplot_spec=self.subplot)
        self._moveaxes(self.sg, self.subgrid[0, 0])

    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, grid_spec):
        ax.remove()
        ax.figure = self.fig
        self.fig.axes.append(ax)
        self.fig.add_axes(ax)
        ax._subplotspec = grid_spec
        ax.set_position(grid_spec.get_position(self.fig))
        try:
            ax.set_subplotspec(grid_spec)
        except AttributeError:
            ax._subplotspec = grid_spec

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

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


# 生成数据
x = [np.random.random() for _ in range(1000)]
y = [np.random.random() for _ in range(1000)]

# 创建jointplot并保存图像对象
joint_plots = []
hist_images = []
for _ in range(2):
    # 创建jointplot
    jp = sns.jointplot(x=x, y=y, marginal_kws={'bins': 20})
    jp.ax_joint.cla()
    # 在joint轴绘制2D直方图并保存图像对象
    plt.sca(jp.ax_joint)
    im = plt.hist2d(x, y, bins=20, norm=mcolors.LogNorm(), cmap='jet')
    hist_images.append(im[3])  # 获取图像对象
    joint_plots.append(jp)

# 设置整体画布和网格布局
fig = plt.figure(figsize=(10, 4))
# 1行4列：两个jointplot区域 + 两个颜色条区域，宽度比例适配
gs = gridspec.GridSpec(1, 4, width_ratios=[4, 0.2, 4, 0.2])

# 将jointplot添加到布局中
sfg_list = []
for idx, jp in enumerate(joint_plots):
    sfg = SeabornFig2Grid(jp, fig, gs[0, idx*2])
    sfg_list.append(sfg)

# 在大画布中添加颜色条
for idx, im in enumerate(hist_images):
    cbar_ax = fig.add_subplot(gs[0, idx*2+1])
    cb = plt.colorbar(im, cax=cbar_ax)
    cb.set_label(r"$\log_{10}$ density of points", fontsize=13)

# 调整整体布局，避免边缘截断
plt.subplots_adjust(left=0.05, right=0.95, top=0.9, bottom=0.1)

plt.show()

内容的提问来源于stack exchange，提问作者BML