手机号数据统计

cm = 0 # 中国移动个数 cu = 0 # 中国联通个数 ct = 0 # 中国电信个数 lenerr = 0 # 长度不合法个数 digiterr = 0 # 字符不合法个数 preerr = 0 # 号段不合法个数

字段

phone_prefix = ['130','131','132','155','156','185','186','145','176', '134','135','136','137','138','139','147','150','151','152','157','158','159','178','182','183','184','187','188', '133','153','189']

with open('phone.txt','r') as file:
phone_list = file.readlines() # 读取数据 phone_list = list(set(phone_list)) # 数据去重 for phone_num in phone_list: valid = True # 假设手机号合法 # 判断长度 if len(phone_num.strip()) != 11: lenerr += 1 valid = False # 判断字符 elif not phone_num.strip().isdigit(): digiterr += 1 valid = False else: # 判断号段 prefix = phone_num.strip()[:3] if prefix in phone_prefix: if prefix in ['130','131','132','155','156','185','186','145','176']: cu += 1 elif prefix in ['134','135','136','137','138','139','147','150','151','152','157','158','159','178','182','183','184','187','188']: cm += 1 elif prefix in ['133','153','189']: ct += 1 else: preerr += 1 valid = False

print('移动数量为%d个, 联通数量为%d个, 电信数量为%d个, 长度不合法数量为%d个, 字符不合法数量为%d个, 号段不合法数量为%d个。 ' % (cm, cu, ct,lenerr,digiterr,preerr))

手机号数据统计:移动、联通、电信数量及非法号码分析

原文地址: https://www.cveoy.top/t/topic/oct0 著作权归作者所有。请勿转载和采集!

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