绘制两个pandas数据框列之间差异的分布图

pip install matplotlib

import matplotlib.pyplot as plt

# 绘制直方图
plt.hist(df1['column_name'] - df2['column_name'], bins=10, alpha=0.5, label='Difference')

# 添加标题和标签
plt.title('Distribution of Difference')
plt.xlabel('Difference')
plt.ylabel('Frequency')

# 显示图例
plt.legend()

# 显示图像
plt.show()

import matplotlib.pyplot as plt

# 绘制密度图
plt.plot(df1['column_name'] - df2['column_name'], label='Difference')
df['column_name'].plot.kde(label='Density')

# 添加标题和标签
plt.title('Distribution of Difference')
plt.xlabel('Difference')
plt.ylabel('Density')

# 显示图例
plt.legend()

# 显示图像
plt.show()

import matplotlib.pyplot as plt

# 绘制箱线图
plt.boxplot(df1['column_name'] - df2['column_name'])

# 添加标题和标签
plt.title('Boxplot of Difference')
plt.xlabel('Difference')
plt.ylabel('Value')

# 显示图像
plt.show()