jupyter/数据处理.ipynb

正则表达式分割文本

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import json
import openpyxl
import re

file_name = 'data/药食材性味归经.xlsx'
wb = openpyxl.load_workbook(file_name)
sheet = wb.active
#sheets = wb.sheetnames

list1 = []
dict1 = {}
mo =r'[。入归].+经$'
mo1 = r'[二]'
mo2 = r'[，、；]'
for n in range(2,sheet.max_row):
    name = sheet.cell(n,1).value
    content = re.findall(mo,sheet.cell(n,2).value)
    if len(content) > 0:
        l = len(content[0])
        gj = re.sub(mo1, '', content[0][1:l-1])        
        list_gj = re.split(mo2,gj)
        dict1[sheet.cell(n,1).value ] = list_gj
        #dict1['guijing'] = list_gj
        
filename = './data/药食材归经.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl,ensure_ascii=False) 

#print(list1)

药膳归经明细文件生成

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import json

filename = 'data/药膳210927.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
filename = 'data/药食材归经.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
k_zy = dict2.keys()
dict3 = {}
list1 = []
for item in dict1:
    print(item['name'])
    list1 = []
    #print(i,item['zy'])
    for m_zy in item['zy']:
        if m_zy in k_zy:
            dict4 = {}
            print(m_zy,dict2[m_zy])
            dict4[m_zy] = dict2[m_zy]
            list1.append(dict4)
    dict3[item['name']] = list1
filename = './data/药膳药食材.json'
with open(filename,'w') as fl:
    json.dump(dict3, fl,ensure_ascii=False)             
   

药膳归经权重生成

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import json
import openpyxl
import os,sys,shutil

filename = './data/药膳药食材.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
for k, v in dict1.items():
    if len(v) > 0 :
        dict2 = {}
        #print(k,v)
        ys_name = k
        dict2.setdefault(ys_name,{})
        for item in v:
            for k1, v1 in item.items():
                for item1 in v1:
                    dict2[ys_name].setdefault(item1,0)
                    dict2[ys_name][item1] += 1
        list1.append(dict2)                    
    
dict_qz = {}
for item in list1:
    for k, v in item.items():
        qz = sorted(v.items(), key = lambda kv:(kv[1], kv[0]),reverse=True)
        dict_qz[k] = qz
#print(dict_qz)
qz_key = dict_qz.keys()
filename = 'data/药膳210927.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
#print(dict1)
wb = openpyxl.Workbook()
sheet = wb.active
sheet['A1'] = '药膳名称'
sheet['B1'] = '来源'
sheet['C1'] = '配方'
sheet['D1'] = '做法'
sheet['E1'] = '功效'
sheet['F1'] = '中药成分'
sheet['G1'] = '归经权重'

i =2
for item in dict1:
    sheet[f'A{i}'] = item['name']
    sheet[f'B{i}'] = item['source']
    sheet[f'C{i}'] = item['pf']
    sheet[f'D{i}'] = item['zf']
    sheet[f'E{i}'] = item['gx']
    sheet[f'F{i}'] = ','.join(item['zy'])
    if item['name'] in qz_key:
        s = ''
        for m_gj in dict_qz[item['name']]:
            s = s+ m_gj[0] +'('+str(m_gj[1])+')'
        sheet[f'G{i}'] = s
    else:
        sheet[f'G{i}'] = '暂无归经'
    i += 1

wb.save('data/test4.xlsx')    

穴位数据导入

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import json
import re
dict1 = {}
filename = 'file/zhongyi/xuewei.json'
with open(filename,'r',encoding='utf-8') as fl:
    for line in fl:
        line1 = json.loads(re.sub(r'\xa0','',line))
        list1 = line1['tables']
        list2 = line1['contents']
        dict2 = dict(zip(list1, list2))
        #print(line1['title'],dict1)
        #print(dict1.keys())
        #print(line1)
        dict1.setdefault(line1['title'][0],{})
        dict1[line1['title'][0]]['简介'] = line1['jj'] 
        dict1[line1['title'][0]]['内容'] = dict2
filename = './file/穴位.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl)        

穴位数据导出Excel表

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import json
import openpyxl

filename = 'file/穴位.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
filename = 'file/穴位简要情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet['A1'] = '穴位名称'
sheet['B1'] = '隶属'
sheet['C1'] = '位置'
sheet['D1'] = '主治'
sheet['E1'] = '功能'
sheet['F1'] = '操作'
sheet['G1'] = '主要配伍'
i = 2
for k, v in dict1.items():
    sheet[f'A{i}'] = k
    sheet[f'B{i}'] = v['简介'][0].split(':')[1]
    sheet[f'C{i}'] = v['简介'][1].split(':')[1]
    sheet[f'D{i}'] = v['简介'][2].split(':')[1]
    sheet[f'E{i}'] = v['简介'][3].split(':')[1]
    sheet[f'F{i}'] = v['简介'][4].split(':')[1]
    sheet[f'G{i}'] = v['简介'][5].split(':')[1]      
    i += 1
wb.save(filename)   
print('ok!')

北海炼化体检数据提取

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import json
import openpyxl
import os,sys,shutil

file_name = 'file/中石化北海炼化2020年团体体检报告.xlsx'
wb = openpyxl.load_workbook(file_name)
sheet = wb.active
dict1 = {}
for n in range(1,sheet.max_row+1):
    bh = sheet.cell(n,2).value
    name = sheet.cell(n,3).value
    xb = sheet.cell(n,4).value
    nl = sheet.cell(n,5).value
    bz = sheet.cell(n,7).value
    dict1.setdefault(bh,{})
    dict1[bh]['姓名'] = name
    dict1[bh]['性别'] = xb
    dict1[bh]['年龄'] = nl
    dict1[bh].setdefault('病症',[])
    dict1[bh]['病症'].append(bz.strip())
wb.close()
#print(dict1)
    
        
filename = 'file/中石化北海炼化2020年体检人员情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet['A1'] = '体检编号'
sheet['B1'] = '姓名'
sheet['C1'] = '性别'
sheet['D1'] = '年龄'
sheet['E1'] = '异常名称'

i =2
for k, v in dict1.items():
    sheet[f'A{i}'] = k
    sheet[f'B{i}'] = v['姓名']
    sheet[f'C{i}'] = v['性别']
    sheet[f'D{i}'] = v['年龄']
    sheet[f'E{i}'] = ','.join(v['病症'])    
    i += 1

wb.save(filename)    

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import openpyxl
import json
import pymongo

myclient = pymongo.MongoClient('mongodb://512song:songyi@192.168.3.100:27017/tice')
#dblist = myclient.list_database_names()
mydb = myclient['tice']
 
collist = mydb. list_collection_names()
print(collist)

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import json
import pymongo

myclient = pymongo.MongoClient('mongodb://192.168.3.100:27017/')
#dblist = myclient.list_database_names()
mydb = myclient['tice']
 
collist = mydb. list_collection_names()
print(collist)

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list1 = []
if not list1:
    print('true')

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