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JointGrid

doc/_docstrings/JointGrid.ipynb

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python
import seaborn as sns
sns.set_theme()
python
penguins = sns.load_dataset("penguins")
sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm")
python
g = sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm")
g.plot(sns.scatterplot, sns.histplot)
python
g = sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm")
g.plot(sns.scatterplot, sns.histplot, alpha=.7, edgecolor=".2", linewidth=.5)
python
g = sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm")
g.plot_joint(sns.scatterplot, s=100, alpha=.5)
g.plot_marginals(sns.histplot, kde=True)
python
g = sns.JointGrid()
python
g = sns.JointGrid()
x, y = penguins["bill_length_mm"], penguins["bill_depth_mm"]
sns.scatterplot(x=x, y=y, ec="b", fc="none", s=100, linewidth=1.5, ax=g.ax_joint)
sns.histplot(x=x, fill=False, linewidth=2, ax=g.ax_marg_x)
sns.kdeplot(y=y, linewidth=2, ax=g.ax_marg_y)
python
g = sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm")
g.plot(sns.regplot, sns.boxplot)
python
g = sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm", hue="species")
g.plot(sns.scatterplot, sns.histplot)

Horizontal and/or vertical reference lines can be added to the joint and/or marginal axes using :meth:JointGrid.refline:

python
g = sns.JointGrid(data=penguins, x="bill_length_mm", y="bill_depth_mm")
g.plot(sns.scatterplot, sns.histplot)
g.refline(x=45, y=16)
python
sns.JointGrid(height=4, ratio=2, space=.05)
python
sns.JointGrid(marginal_ticks=True)
python
sns.JointGrid(xlim=(-2, 5), ylim=(0, 10))