在 Faker 库中关联名字和性别

问题描述

我正在寻求使用 Faker 库为我的研究生成一个假数据集。我无法将人的性别和名字联系起来。在这方面我能得到一些帮助吗？功能如下。

def faker_categorical(num=1,seed=None):
    np.random.seed(seed)
    fake.seed_instance(seed)
    
    output = [
        {
            "gender": np.random.choice(["M","F"],p=[0.5,0.5]),"Givenname": fake.first_name_male() if "gender"=="M" else fake.first_name_female(),"Surname": fake.last_name(),"Zipcode": fake.zipcode(),"Date of Birth": fake.date_of_birth(),"country": np.random.choice(["United Kingdom","France","Belgium"]),}
        for x in range(num)
    ]
    return output

df = pd.DataFrame(faker_categorical(num=1000))

解决方法

您的问题不清楚，但我想您正在寻找的是一种从代码中两个不同位置引用 np.random.choice() 结果的方法。简单 -- 将它分配给一个临时变量，然后从两个地方引用该变量。

def faker_categorical(num=1,seed=None):
    np.random.seed(seed)
    fake.seed_instance(seed)
    
    output = []
    for x in range(num):
      gender = np.random.choice(["M","F"],p=[0.5,0.5])
      output.append(
        {
            "gender": gender,"GivenName": fake.first_name_male() if gender=="M" else fake.first_name_female(),"Surname": fake.last_name(),"Zipcode": fake.zipcode(),"Date of Birth": fake.date_of_birth(),"country": np.random.choice(["United Kingdom","France","Belgium"]),})
    return output