From 7752b3b4fecb5f676adebb613b8f7240932e8915 Mon Sep 17 00:00:00 2001
From: p6sitlwaz <284768853@qq.com>
Date: Tue, 18 Jun 2024 17:47:05 +0800
Subject: [PATCH] =?UTF-8?q?Delete=20'=E6=9C=9F=E6=9C=ABzy.py'?=
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---
 期末zy.py | 104 ----------------------------------------------------
 1 file changed, 104 deletions(-)
 delete mode 100644 期末zy.py

diff --git a/期末zy.py b/期末zy.py
deleted file mode 100644
index 6ff9691..0000000
--- a/期末zy.py
+++ /dev/null
@@ -1,104 +0,0 @@
-from bs4 import BeautifulSoup
-import xlwt
-import requests
-def ask_url(url):
-    head = {
-        "User-Agent":
-"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0"
-    }
-    try:
-        r = requests.get(url, headers=head, timeout=30)
-        r.raise_for_status()
-        r.encoding = 'utf-8'
-        return r.text
-    except:
-        return ""
-
-def get_data(base_url):
-    data_list = []
-
-    for i in range(0, 10):
-        url = base_url + str(i + 1)
-        html = ask_url(url)
-        if html == "":
-            continue
-        soup = BeautifulSoup(html, 'html.parser')
-        for item in soup.find_all('div', class_="result_item"):
-            data = {}
-
-            if item.div.p.span.string == "疾病":
-                data['diseaseName'] = item.div.p.a.string
-
-                symptoms = []
-                p = item.find('p', class_='result_item_content_label')
-                for symptom in p.find_all('a'):
-                    symptoms.append(symptom.string)
-
-                sub_url = item.div.p.a.attrs["href"]
-                sub_html = ask_url(sub_url)
-                if sub_html == "":
-                    continue
-                sub_soup = BeautifulSoup(sub_html, 'html.parser')
-
-                information_ul = sub_soup.find('ul', class_="information_ul")
-                for detail in information_ul.find_all('li'):
-                    if detail.i.string == '别名：':
-                        data['diseaseAlias'] = detail.span.string
-                    elif detail.i.string == '发病部位：':
-                        data['siteOfOnset'] = []
-                        for site in detail.span.find_all('a'):
-                            data['siteOfOnset'].append(site.string)
-                    elif detail.i.string == '传染性：':
-                        data['infectivity'] = detail.span.string
-                    elif detail.i.string == '多发人群：':
-                        data['multiplePopulation'] = detail.span.string
-                    elif detail.i.string == '并发症：':
-                        data['complication'] = []
-                        for complication in detail.span.find_all('a'):
-                            data['complication'].append(complication.string)
-                    elif detail.i.string == '挂号科室：':
-                        data['registrationDepartment'] = []
-                        for department in detail.span.find_all('a'):
-                            data['registrationDepartment'].append(department.string)
-                    elif detail.i.string == '临床检查：':
-                        data['clinicalExamination'] = []
-                        for examination in detail.span.find_all('a'):
-                            data['clinicalExamination'].append(examination.string)
-                    elif detail.i.string == '典型症状：':
-                        for symptom in detail.span.find_all('a'):
-                            symptoms.append(symptom.string)
-                        data['commonDrugs'] = symptoms
-
-                information_ul1 = sub_soup.find('ul', class_="information_ul information_ul_bottom")
-                for detail in information_ul1.find_all('li'):
-                    if detail.i.string == '常用药品：':
-                        data['commonDrugs'] = []
-                        for drug in detail.span.find_all('a'):
-                            data['commonDrugs'].append(drug.string)
-
-            data_list.append(data)
-
-    return data_list
-
-def save_data(data_list, save_path):
-    book = xlwt.Workbook(encoding='utf-8', style_compression=0)
-    sheet = book.add_sheet("疾病", cell_overwrite_ok=True)
-    col = ("diseaseName", "diseaseAlias", "siteOfOnset", "infectivity", "multiplePopulation", "complication", "registrationDepartment", "clinicalExamination", "commonDrugs")
-    length = len(data_list)
-    for i in range(0, 9):
-        sheet.write(0, i, col[i])
-    for i in range(0, length):
-        # print("\r当前进度：{:.2f}%".format((i + 1) * 100 / length), end="")
-        data = data_list[i]
-        for j in range(0, 9):
-            if col[j] in data:
-                sheet.write(i + 1, j, data[col[j]])
-    book.save(save_path)
-    return ""
-
-if __name__ == "__main__":
-    base_url = "https://jbk.39.net/bw/jizhenke_p"
-    save_path = "D:\数据采集\PycharmProjects\pythonProject\数据采集\文件\疾病.xls"
-
-    data_list = get_data(base_url)
-    save_data(data_list, save_path)