通过应用与布尔值相同的方法将向量与数据帧进行比较

import numpy as np
import pandas as pd

# 创建一个向量
vector = np.array([1, 2, 3, 4, 5])

# 创建一个数据帧
data_frame = pd.DataFrame({'A': [1, 2, 3, 4, 5], 'B': [6, 7, 8, 9, 10]})

# 将向量与数据帧进行比较
vector_equal_to_data_frame = vector == data_frame
vector_not_equal_to_data_frame = vector != data_frame
vector_greater_than_data_frame = vector > data_frame
vector_less_than_data_frame = vector < data_frame
vector_greater_than_equal_to_data_frame = vector >= data_frame
vector_less_than_equal_to_data_frame = vector <= data_frame

# 打印比较结果
print("Vector equal to data frame:")
print(vector_equal_to_data_frame)
print("Vector not equal to data frame:")
print(vector_not_equal_to_data_frame)
print("Vector greater than data frame:")
print(vector_greater_than_data_frame)
print("Vector less than data frame:")
print(vector_less_than_data_frame)
print("Vector greater than equal to data frame:")
print(vector_greater_than_equal_to_data_frame)
print("Vector less than equal to data frame:")
print(vector_less_than_equal_to_data_frame)