python绘制散点图、直方图、箱线图、散点图矩阵、小提琴图、回归图和关系类图

以下是使用Python绘制常见的数据可视化图表的示例代码：

## 绘制散点图
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 1, 4, 2]

plt.scatter(x, y)
plt.show()

## 绘制直方图
import numpy as np
import matplotlib.pyplot as plt

data = np.random.randn(1000)

plt.hist(data, bins=30)
plt.show()

## 绘制箱线图
import numpy as np
import matplotlib.pyplot as plt

data = np.random.randn(100, 5)

plt.boxplot(data)
plt.show()

## 绘制散点图矩阵
import seaborn as sns
import pandas as pd

iris = sns.load_dataset('iris')
sns.pairplot(iris, hue='species')
plt.show()

## 绘制小提琴图
import seaborn as sns
import pandas as pd

tips = sns.load_dataset('tips')
sns.violinplot(x="day", y="total_bill", hue="sex", data=tips)
plt.show()

## 绘制回归图
import seaborn as sns
import pandas as pd

tips = sns.load_dataset('tips')
sns.lmplot(x="total_bill", y="tip", data=tips)
plt.show()

## 绘制关系类图
import seaborn as sns
import pandas as pd

tips = sns.load_dataset('tips')
sns.relplot(x="total_bill", y="tip", hue="smoker", style="time", data=tips)
plt.show()