从临床医生的特定字段中获取数据

Question

我写了一个函数，它给出了一个NCTID（即临床医生.GovID）它从临床医生.Gov公司名称：

def clinicalTrialsGov (nctid):
    data = BeautifulSoup(requests.get("https://clinicaltrials.gov/ct2/show/" + nctid + "?displayxml=true").text, "xml")
    subset = ['intervention_type', 'study_type', 'allocation', 'intervention_model', 'primary_purpose', 'masking', 'enrollment', 'official_title', 'condition', 'minimum_age', 'maximum_age', 'gender', 'healthy_volunteers', 'phase', 'primary_outcome', 'secondary_outcome', 'number_of_arms']
    tag_matches = data.find_all(subset)

然后我执行以下操作：

^{pr2}$

把这些数据转换成字典。但是，在有多个干预类型（例如NCT02170532）的情况下，这只需要一个干预类型。如何调整此代码，以便当有多个值的字段时，这些值将以逗号分隔的列表列出。在

电流输出：

ctOfficial_title: Aerosolized Beta-Agonist Isomers in Asthma
ctPhase: Phase 4
ctStudy_type: Interventional
ctAllocation: Non-Randomized
ctIntervention_model: Crossover Assignment
ctPrimary_purpose: Treatment
ctMasking: None (Open Label)
ctPrimary_outcome: 
Change in Maximum Forced Expiratory Volume at One Second (FEV1)
Baseline (before treatment), 30 minutes, 1, 2, 4, 6, and 8 hours post treatment

ctSecondary_outcome: 
Change in Dyspnea Response as Measured by the University of California, San Diego (UCSD) Dyspnea Scale
Baseline (before treatment), 30 minutes, 1, 2, 4, 6, and 8 hours post treatment

ctNumber_of_arms: 5
ctEnrollment: 10
ctCondition: Asthma
ctIntervention_type: Drug
ctGender: All
ctMinimum_age: 18 Years
ctMaximum_age: N/A
ctHealthy_volunteers: No

期望输出：

ctOfficial_title: Aerosolized Beta-Agonist Isomers in Asthma
ctPhase: Phase 4
ctStudy_type: Interventional
ctAllocation: Non-Randomized
ctIntervention_model: Crossover Assignment
ctPrimary_purpose: Treatment
ctMasking: None (Open Label)
ctPrimary_outcome: 
Change in Maximum Forced Expiratory Volume at One Second (FEV1)
Baseline (before treatment), 30 minutes, 1, 2, 4, 6, and 8 hours post treatment

ctSecondary_outcome: 
Change in Dyspnea Response as Measured by the University of California, San Diego (UCSD) Dyspnea Scale
Baseline (before treatment), 30 minutes, 1, 2, 4, 6, and 8 hours post treatment

ctNumber_of_arms: 5
ctEnrollment: 10
ctCondition: Asthma
ctIntervention_type: Drug, Drug, Other, Device, Device, Drug
ctGender: All
ctMinimum_age: 18 Years
ctMaximum_age: N/A
ctHealthy_volunteers: No

我如何调整代码，使其能够清除所有的干预类型？在

Answer 1

您的代码失败，因为它正在覆盖给定字典键的先前值。相反，您需要附加到现有条目。在

您可以使用Python的defaultdict()。这可以用来为每个键自动创建列表。如果有多个条目，则每个条目都会附加到该关键字的列表中。然后在打印时，如果需要，可以使用,分隔符将列表重新连接在一起：

import bs4
from collections import defaultdict    
from bs4 import BeautifulSoup    
import requests

def clinicalTrialsGov(nctid):
    data = defaultdict(list)
    soup = BeautifulSoup(requests.get("https://clinicaltrials.gov/ct2/show/" + nctid + "?displayxml=true").text, "xml")
    subset = ['intervention_type', 'study_type', 'allocation', 'intervention_model', 'primary_purpose', 'masking', 'enrollment', 'official_title', 'condition', 'minimum_age', 'maximum_age', 'gender', 'healthy_volunteers', 'phase', 'primary_outcome', 'secondary_outcome', 'number_of_arms']

    for tag in soup.find_all(subset):
        data['ct{}'.format(tag.name.capitalize())].append(tag.get_text(strip=True))

    for key in data:
        print('{}: {}'.format(key, ', '.join(data[key])))

clinicalTrialsGov('NCT02170532')

这将显示以下内容：

^{pr2}$

Answer 2

您看到的是最后一个标记值，因为之前的所有值都将被下一个值覆盖。您需要检查字典中是否已存在某个键，如果存在，则句柄也相应。
像这样：

tag_dict = {}
for i in range(0, len(tag_matches)):
    if(str('ct' + tag_matches[i].name.capitalize())) in tag_dict:
         tag_dict[str('ct' + tag_matches[i].name.capitalize())] += ', '+tag_matches[i].text
    else:
         tag_dict[(str('ct' + tag_matches[i].name.capitalize()))]= tag_matches[i].text