pandas:使用hstack时缓冲区的维数错误(预期为% 1，实际为% 2)

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2, 3]})
df2 = pd.DataFrame({'B': [4, 5, 6]})

# 确保行数一致
if len(df1) == len(df2):
    result = pd.hstack([df1, df2])
else:
    print("行数不一致")

# 示例数据
df1 = pd.DataFrame({'A': [1, 2, 3]})
df2 = pd.DataFrame({'B': ['4', '5', '6']})

# 转换数据类型
df2['B'] = df2['B'].astype(int)

result = pd.hstack([df1, df2])

# 示例数据
df1 = pd.DataFrame({'A': [1, 2, 3]}, index=[0, 1, 2])
df2 = pd.DataFrame({'B': [4, 5, 6]}, index=[0, 1, 3])

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

result = pd.hstack([df1, df2])

# 示例数据
df1 = pd.DataFrame({'A': [1, 2, 3]})
df2 = pd.DataFrame({'B': [4, 5, 6]})

result = pd.concat([df1, df2], axis=1)

import pandas as pd

# 示例数据
df1 = pd.DataFrame({'A': [1, 2, 3]})
df2 = pd.DataFrame({'B': ['4', '5', '6']})

# 确保行数一致
if len(df1) == len(df2):
    # 转换数据类型
    df2['B'] = df2['B'].astype(int)
    
    # 使用 hstack 进行堆叠
    result = pd.hstack([df1, df2])
    print(result)
else:
    print("行数不一致")