如何将字符串向量应用于逻辑向量

# 示例字符串向量
string_vector = ["apple", "banana", "cherry", "date", "elderberry"]

# 示例逻辑向量
logical_vector = [True, False, True, False, True]

# 使用逻辑向量筛选字符串向量
filtered_strings = [string_vector[i] for i in range(len(string_vector)) if logical_vector[i]]

print(filtered_strings)

if len(string_vector) != len(logical_vector):
    raise ValueError("The lengths of string_vector and logical_vector must be the same.")

# 示例：复杂的逻辑运算
complex_logical_vector = [True and False, False or True, not True]

import numpy as np

# 使用NumPy提高性能
string_array = np.array(string_vector)
logical_array = np.array(logical_vector)

filtered_strings_np = string_array[logical_array]
print(filtered_strings_np)