20211101
This commit is contained in:
512song committed
1 parent
8b780a6e66
commit
b208898522
1 file changed
+133
-43
+133
-43
@@ -35,19 +35,19 @@
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"\n",
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"name = '中国石油化工股份有限公司安庆炼化分公司'\n",
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"short_name = '安庆炼化'\n",
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"myquery = { \"name\": name}\n",
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"if mycol.find_one(myquery) is None: \n",
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"myquery = {\"name\": name}\n",
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"if mycol.find_one(myquery) is None:\n",
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" wb = openpyxl.load_workbook('data/中国石油化工股份有限公司安庆炼化分公司员工在职人员名单.xlsx')\n",
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" sheet = wb.active\n",
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" #sheets = wb.sheetnames\n",
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" # sheets = wb.sheetnames\n",
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" depart = []\n",
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" dict1 = {}\n",
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" new_code = []\n",
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" for n in range(2,sheet.max_row+1):\n",
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" for n in range(2, sheet.max_row+1):\n",
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" m_depart = sheet.cell(n,5).value\n",
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" if m_depart not in depart:\n",
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" depart.append(sheet.cell(n,5).value)\n",
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" #print(sheet.cell(n,5).value)\n",
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" # print(sheet.cell(n,5).value)\n",
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"\n",
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" dict1['name'] = '中国石油化工股份有限公司安庆炼化分公司'\n",
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" dict1['short_name'] = '安庆炼化'\n",
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@@ -55,8 +55,7 @@
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" mycol.insert_one(dict1)\n",
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" print('ok!')\n",
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"else:\n",
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" print('该单位已存在！') \n",
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" "
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" print('该单位已存在！')"
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]
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},
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{
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@@ -87,16 +86,16 @@
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"dict1 = {}\n",
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"\n",
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"name = '中国石油化工股份有限公司安庆炼化分公司'\n",
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"myquery = { \"name\": name}\n",
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"myquery = {\"name\": name}\n",
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"dict1['code'] = 120\n",
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"dict1['unit'] = '中国石油化工股份有限公司安庆炼化分公司'\n",
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"dict1['address'] = '安徽安庆'\n",
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"dict1['date_begin'] ='2021-09-08'\n",
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"dict1['date_begin'] = '2021-09-08'\n",
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"dict1['date_end'] = '2021-09-30'\n",
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"if mycol.find_one(myquery) is None: \n",
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"if mycol.find_one(myquery) is None:\n",
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" print('体测单位不存在！')\n",
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"else:\n",
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" myquery1 = { \"code\": dict1['code']}\n",
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" myquery1 = {\"code\": dict1['code']}\n",
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" if mycol1.find_one(myquery1) is None:\n",
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" mycol1.insert_one(dict1)\n",
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" print('ok!')\n",
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@@ -132,25 +131,25 @@
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"\n",
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"wb = openpyxl.load_workbook('data/中国石油化工股份有限公司安庆炼化分公司员工在职人员名单.xlsx')\n",
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"sheet = wb.active\n",
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"#sheets = wb.sheetnames\n",
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"# sheets = wb.sheetnames\n",
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"list1 = []\n",
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"person = {}\n",
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"new_code = []\n",
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"for n in range(2,sheet.max_row+1):\n",
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" code = sheet.cell(n,1).value\n",
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" person.setdefault(code,{})\n",
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" dict1 = {} \n",
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" dict1['name'] = sheet.cell(n,2).value\n",
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" dict1['sex'] = sheet.cell(n,3).value\n",
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" dict1['unit'] = sheet.cell(n,5).value\n",
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" if sheet.cell(n,4).value is None:\n",
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" dict1['birth'] = sheet.cell(n,6).value\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = sheet.cell(n, 1).value\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['unit'] = sheet.cell(n, 5).value\n",
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" if sheet.cell(n, 4).value is None:\n",
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" dict1['birth'] = sheet.cell(n, 6).value\n",
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" else:\n",
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" dict1['id_num'] = sheet.cell(n,4).value\n",
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" dict1['id_num'] = sheet.cell(n, 4).value\n",
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" person[code] = dict1\n",
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"filename = '安庆炼化人员名单.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(person, fl,ensure_ascii=False) \n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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@@ -199,7 +198,7 @@
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" all_person = json.load(fl)\n",
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"with open('result.json','r') as fl1:\n",
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" res = json.load(fl1)\n",
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"for k,v in all_person.items():\n",
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"for k, v in all_person.items():\n",
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" if k in exam_person:\n",
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" dict2 = {}\n",
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" dict3 = {}\n",
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@@ -224,7 +223,7 @@
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"x = mycol.insert_many(list1)\n",
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"mycol1 = mydb[\"event\"]\n",
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"myquery = {'code':120}\n",
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"mycol1.update_one(myquery,{'$push':{'persons':x.inserted_ids}})\n",
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"mycol1.update_one(myquery, {'$push': {'persons':x.inserted_ids}})\n",
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"print('ok!')"
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]
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},
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@@ -693,7 +692,7 @@
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"import os,sys\n",
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"import pymongo\n",
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"from gridfs import GridFS\n",
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"from bson.objectid import ObjectId\n",
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"\n",
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"\n",
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"myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n",
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"mydb = myclient[\"tice\"]\n",
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@@ -704,7 +703,6 @@
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"x = mycol.find_one(myquery,{s:1})\n",
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"if x:\n",
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" print(x['report'][sn])\n",
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" \n",
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"else:\n",
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" print('no record!')\n",
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"#print(type(x))"
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@@ -752,15 +750,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 2,
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"id": "9e33d1bc-1b71-47f7-928a-16ec435449d6",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-10-26T08:21:04.983764Z",
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"iopub.status.busy": "2021-10-26T08:21:04.982673Z",
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"iopub.status.idle": "2021-10-26T08:21:09.421348Z",
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"shell.execute_reply": "2021-10-26T08:21:09.419179Z",
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"shell.execute_reply.started": "2021-10-26T08:21:04.983506Z"
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"iopub.execute_input": "2021-11-01T01:09:32.605273Z",
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"iopub.status.busy": "2021-11-01T01:09:32.604346Z",
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"iopub.status.idle": "2021-11-01T01:09:32.942228Z",
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"shell.execute_reply": "2021-11-01T01:09:32.940432Z",
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"shell.execute_reply.started": "2021-11-01T01:09:32.605167Z"
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},
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"tags": []
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},
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@@ -815,15 +813,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 13,
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"id": "2475a1c3-c2e7-45d6-9685-32e28e606df5",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-10-26T13:02:51.590980Z",
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"iopub.status.busy": "2021-10-26T13:02:51.590050Z",
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"iopub.status.idle": "2021-10-26T13:02:52.262203Z",
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"shell.execute_reply": "2021-10-26T13:02:52.260218Z",
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"shell.execute_reply.started": "2021-10-26T13:02:51.590874Z"
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"iopub.execute_input": "2021-11-01T02:03:59.201350Z",
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"iopub.status.busy": "2021-11-01T02:03:59.200377Z",
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"iopub.status.idle": "2021-11-01T02:04:00.932234Z",
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"shell.execute_reply": "2021-11-01T02:04:00.930325Z",
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"shell.execute_reply.started": "2021-11-01T02:03:59.201245Z"
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},
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"tags": []
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},
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@@ -842,7 +840,7 @@
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"\n",
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"wb = openpyxl.load_workbook('file/北海炼化公司职工心理健康量表统计.xlsx')\n",
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"sheet = wb.active\n",
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"#sheets = wb.sheetnames\n",
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"\n",
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"dict1 = {}\n",
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"for n in range(2,sheet.max_row+1):\n",
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" mdm = sheet.cell(n,1).value\n",
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@@ -851,8 +849,8 @@
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" list1 = [1,2,3,4,5,None]\n",
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" for i in range(2,42):\n",
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" #if sheet.cell(n,i).value not in list1:\n",
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" # print(f'error!{mdm}--{sheet.cell(n,i).value}')\n",
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" dict2[i-1] = sheet.cell(n,i).value\n",
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" #print(f'error!{mdm}--{sheet.cell(n,i).value}')\n",
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" dict1[mdm] = dict2\n",
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"filename = '北海炼化公司职工心理健康量表统计.json'\n",
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"with open(filename,'w') as fl:\n",
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@@ -860,10 +858,102 @@
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f400d470-d51e-4226-a1c4-54ac711c7f38",
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"metadata": {},
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"source": [
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"## 查询心理健康量表编号重复"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "61887c54-66be-4158-9721-7a995daf1745",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-01T02:03:47.177819Z",
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"iopub.status.busy": "2021-11-01T02:03:47.176858Z",
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"iopub.status.idle": "2021-11-01T02:03:48.719338Z",
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"shell.execute_reply": "2021-11-01T02:03:48.717050Z",
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"shell.execute_reply.started": "2021-11-01T02:03:47.177713Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"355-479已存在！\n",
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"401-379已存在！\n",
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"493-765已存在！\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"\n",
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"wb = openpyxl.load_workbook('file/北海炼化公司职工心理健康量表统计.xlsx')\n",
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"sheet = wb.active\n",
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"list1 = []\n",
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"dict1 = {}\n",
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"i = 0\n",
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"for n in range(2,sheet.max_row+1):\n",
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" mdm = sheet.cell(n,1).value\n",
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" if mdm in list1:\n",
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" print(F'{i}-{mdm}已存在！')\n",
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" else:\n",
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" list1.append(mdm)\n",
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" i = i + 1\n",
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" "
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]
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},
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{
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"cell_type": "markdown",
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"id": "641cc9a9-45b2-4b81-953c-75d3a27e35d5",
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"metadata": {},
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"source": [
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"## 统计导入JSON文件记录数"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "499a41ef-1b1f-4973-b733-8c322ac1ce09",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2021-11-01T02:03:52.339731Z",
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"iopub.status.busy": "2021-11-01T02:03:52.339110Z",
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"iopub.status.idle": "2021-11-01T02:03:52.366118Z",
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"shell.execute_reply": "2021-11-01T02:03:52.364000Z",
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"shell.execute_reply.started": "2021-11-01T02:03:52.339665Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"538\n"
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]
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}
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],
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"source": [
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"import json\n",
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"filename = '北海炼化公司职工心理健康量表统计.json'\n",
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"item = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"print(len(dict1))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "671d6afe-5ed2-404e-bd8c-df3118ea3743",
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"id": "8ddd87ea-75f9-4296-8334-c28e6359fedd",
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"metadata": {},
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"outputs": [],
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"source": []
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Reference in new issue
Block a user