问题描述
如果我想把“兴趣”栏和“技能”与“购买倾向”联系起来，比如80%的技能有运动员的购买倾向最高，(0.7-1)，80%的唱歌购买倾向中等（0.3-0.6），80%的画作购买倾向最低（0-0.3）。如何在faker中实现这个逻辑？
导入csv 从 faker 进口 Faker 随机导入
定义数据生成（记录，标题）： fake = Faker('en_US')
#age_range = ["18-45","45-65","14-17"]
interests = ["movies,bikes","youtube,food","hockey,books"]
profession = ["doctor","engineer","architect"]
preferred_language = ["English","hindi","french"]
schools = ["High School","Degree","PhD"]
skills = ["painting","singing","athlete"]
campaign_content = "get_the_best_insurance"
no_of_days =[0,1,2,3,4,5,6,7,8,9,10]
with open("C:\\Users\\PRIYANKI\\OneDrive\\Documents\\My_matches\\PropensityToBuy_test1.csv",'wt') as csvFile:
writer = csv.DictWriter(csvFile,fieldnames=headers)
writer.writeheader()
countries = ["Canada","India","US"]
cities = {"Canada":["Orlando","Ontario"],"India":["Delhi","Mumbai"],"US":["New York","Washington"]}
for i in range(records):
country = random.choice(countries)
city = random.choice(cities[country])
writer.writerow({
#"campaign_transaction_id" : fake.fixed_width(data_columns=[(30,'name'),(5,'pyint',{'min_value':30,'max_value':40})],align='right',num_rows=1),"campaign_transaction_id" : fake.sha1(raw_output=False),"organization_id" : "1aadefa1-4a35-45fb-bcf5-0ed1e2921bff","campaign_id": "1fe32202-8473-4218-af74-11d1df5e5dbc","referred_by" : fake.name(),"referred_to" : fake.name(),"loyalty_id" : "603c695b-1dd4-49c9-b80b-2d9637bbda71","campaign_start_date" : fake.date_this_month(),"campaign_end_date" : fake.future_date(end_date='+10d',tzinfo=None),#"campaign_end_date" : fake.date_time_between_dates(),#"campaign_end_date": fake.date(),"age" :random.randint(14,70),"country" : country,"city" : city,#"city" : fake.city(),#"country" : fake.country(),"interests" : random.choice(interests),"profession" : random.choice(profession),"preferred_language" : random.choice(preferred_language),"schools" : random.choice(schools),"skills": random.choice(skills),"time_stamp": fake.date_time_between_dates(),"campaign_content" : campaign_content,"no_of_days" : random.choice(no_of_days),# "propensity_to_buy" : random.uniform(0,1)
"propensity_to_buy" : np.random.choice(no_of_days)/10,})
if name == 'main'： 记录 = 10000 headers = [“campaign_transaction_id”、“organization_id”、“campaign_id”、“loyalty_id”、“referred_by”、“referred_to”、“campaign_start_date”、“campaign_end_date”、 “年龄”、“城市”、“国家”、“兴趣”、“职业”、“首选语言”、“学校”、“技能”、“时间戳”、“campaign_content”、“no_of_days”、“propensity_to_buy”] 数据生成（记录，标题） print("CSV 生成完成！")
解决方法
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