python库patchworklib多图表整合用法示例探究

pip install patchworklib

import patchworklib as pw
import seaborn as sns 
#加载数据集
fmri = sns.load_dataset("fmri")
ax1 = pw.Brick(figsize=(3,2))
sns.lineplot(x="timepoint", y="signal", hue="region", style="event", data=fmri, ax=ax1)
ax1.legend(bbox_to_anchor=(1.05, 1.0), loc='upper left')
ax1.set_title("ax1")
#加载数据集
titanic = sns.load_dataset("titanic")
ax2 = pw.Brick(figsize=(1,2))
sns.barplot(x="sex", y="survived", hue="class", data=titanic, ax=ax2)
ax2.move_legend(new_loc='upper left', bbox_to_anchor=(1.05, 1.0))
ax2.set_title("ax2")
#使用 | 运算符排列子图
ax12 = ax1|ax2
ax12.savefig()

# 加载数据集
diamonds = sns.load_dataset("diamonds")
ax3 = pw.Brick(figsize=(6,2))
sns.histplot(diamonds, x="price", hue="cut", multiple="stack", palette="light:m_r", edgecolor=".3", linewidth=.5, log_scale=True, ax = ax3)
ax3.move_legend(new_loc='upper left', bbox_to_anchor=(1.0, 1.0))
ax3.set_title("ax3")
#使用 / 和 | 运算符排列子图
(ax3/(ax1|ax2)).savefig()