在python中返回多个值并将它们附加到数据帧的唯一列

Question

背景：我有一个从数据库中获取一堆属性的函数。这是函数：def getData(key, full_name, address, city, state, zipcode):    try:        url = 'https://personator.melissadata.net/v3/WEB/ContactVerify/doContactVerify'        payload={                'TransmissionReference': "test", # used by you to keep track of reference                'Actions': 'Check',                'Columns': 'Gender','DateOfBirth','DateOfDeath','EthnicCode','EthnicGroup','Education','PoliticalParty','MaritalStatus','HouseholdSize','ChildrenAgeRange','PresenceOfChildren','PresenceOfSenior','LengthOfResidence','OwnRent','CreditCardUser','Occupation','HouseholdIncome',                'CustomerID': key,# key                'Records': [{'FullName': str(full_name), 'AddressLine1': str(address), 'City': str(city), 'State': str(state), 'PostalCode': str(zipcode)}]                }        headers = {'Content-Type': 'application/json; charset=utf-8', 'Accept':'application/json', 'Host':'personator.melissadata.net','Expect': '100-continue', 'Connection':'Keep-Alive'}        r = requests.post(url, data=json.dumps(payload), headers=headers)为了制作“性别”列，我将函数包装成一个 lambdadf['Gender'] = df.apply(lambda row: getData(key, row['Full Name'], row['Address'], row['City'], row['State'], row['Zipcode']))目标： 我想对您在 Gender 下方看到的所有其他属性同时执行此过程，我如何在 Python 中执行此操作。

Answer 1

你可以返回一个字典，然后展开一系列字典对象：

fields = ['Gender', 'DateOfBirth', etc.]

def getData(key, full_name, address, city, state, zipcode):

    try:

        # your code as before

        dom = json.loads(r.text)

        return {k: dom['Records'][0][k] for k in fields}

    # modify below: good practice to specify exactly which error(s) to catch

    except:

        return {}

然后扩展您的字典系列：

dcts = df.apply(lambda row: getData(key, row['Full Name'], row['Address'], row['City'],

                                    row['State'], row['Zipcode']), axis=1)

df = df.join(pd.DataFrame(dcts.tolist()))

根据@spaniard 的评论，如果你想要所有可用的字段，你可以简单地使用：

return json.loads(r.text)['Records'][0]