如何在python seaborn的jointplot，pairplot，heatmap，catplot上设置标签？

import seaborn as sns
import matplotlib.pyplot as plt

# 生成数据
data = sns.load_dataset("iris")

# 绘制jointplot
sns.jointplot(x="sepal_length", y="sepal_width", data=data)

# 添加标签
plt.annotate("Label", xy=(5, 3), xytext=(6, 3.5),
             arrowprops=dict(facecolor='black', arrowstyle='->'))

# 显示图形
plt.show()

import seaborn as sns
import matplotlib.pyplot as plt

# 生成数据
data = sns.load_dataset("iris")

# 绘制pairplot
sns.pairplot(data, hue="species")

# 添加标签
plt.annotate("Label", xy=(5, 3), xytext=(6, 3.5),
             arrowprops=dict(facecolor='black', arrowstyle='->'))

# 显示图形
plt.show()

import seaborn as sns
import matplotlib.pyplot as plt

# 生成数据
data = sns.load_dataset("flights")
data = data.pivot("month", "year", "passengers")

# 绘制heatmap
sns.heatmap(data, annot=True, fmt="d")

# 添加标签
plt.annotate("Label", xy=(5, 3), xytext=(6, 3.5),
             arrowprops=dict(facecolor='black', arrowstyle='->'))

# 显示图形
plt.show()

import seaborn as sns
import matplotlib.pyplot as plt

# 生成数据
data = sns.load_dataset("titanic")

# 绘制catplot
sns.catplot(x="class", y="survived", hue="sex", data=data, kind="bar")

# 添加标签
plt.annotate("Label", xy=(1, 0.8), xytext=(1.5, 0.85),
             arrowprops=dict(facecolor='black', arrowstyle='->'))

# 显示图形
plt.show()