附加熊猫DataFrames -索引不匹配

import pandas as pd

# 创建两个示例DataFrame
df1 = pd.DataFrame({'A': [1, 2, 3]}, index=[0, 1, 2])
df2 = pd.DataFrame({'A': [4, 5, 6]}, index=[3, 4, 5])

# 重置索引
df1 = df1.reset_index(drop=True)
df2 = df2.reset_index(drop=True)

# 进行附加操作
result = pd.concat([df1, df2], ignore_index=True)
print(result)

import pandas as pd

# 创建两个示例DataFrame
df1 = pd.DataFrame({'A': [1, 2, 3]}, index=[0, 1, 2])
df2 = pd.DataFrame({'A': [4, 5, 6]}, index=[3, 4, 5])

# 进行附加操作，忽略原有索引
result = pd.concat([df1, df2], ignore_index=True)
print(result)

import pandas as pd

# 创建两个示例DataFrame
df1 = pd.DataFrame({'A': [1, 2, 3]}, index=[0, 1, 2])
df2 = pd.DataFrame({'A': [4, 5, 6]}, index=[3, 4, 5])

# 手动对齐索引
df2.index = df1.index[-1] + df2.index + 1

# 进行附加操作
result = pd.concat([df1, df2])
print(result)