将向量集合转换为数据帧时出现架构错误

import pandas as pd

# 示例向量集合
vectors = [
    [1, 2, 3],
    [4, 5, 6],
    [7, 8]  # 维度不一致
]

# 检查向量维度
max_length = max(len(v) for v in vectors)
adjusted_vectors = [v + [None] * (max_length - len(v)) for v in vectors]

# 转换为数据帧
df = pd.DataFrame(adjusted_vectors)
print(df)

import pandas as pd

# 示例向量集合
vectors = [
    [1, 2, 3],
    [4, 5, 6],
    [7, '8', 9]  # 数据类型不一致
]

# 转换数据类型
adjusted_vectors = [[int(x) if isinstance(x, str) else x for x in v] for v in vectors]

# 转换为数据帧
df = pd.DataFrame(adjusted_vectors)
print(df)

import pandas as pd
import numpy as np

# 示例向量集合
vectors = [
    [1, 2, 3],
    [4, None, 6],
    [7, 8, 9]
]

# 填充缺失值
adjusted_vectors = [[x if x is not None else np.nan for x in v] for v in vectors]

# 转换为数据帧
df = pd.DataFrame(adjusted_vectors)
print(df.fillna(0))  # 用0填充缺失值