174 lines
4.7 KiB
Plaintext
174 lines
4.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "28695364-38de-442e-818d-cfab45902763",
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"metadata": {},
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"source": [
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"## 导入人员信息"
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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": 2,
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"id": "2f2feca4-e0bf-4d68-af95-d3cfe5ac28bb",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-23T14:17:57.955188Z",
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"iopub.status.busy": "2023-03-23T14:17:57.954638Z",
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"iopub.status.idle": "2023-03-23T14:17:58.563416Z",
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"shell.execute_reply": "2023-03-23T14:17:58.562686Z",
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"shell.execute_reply.started": "2023-03-23T14:17:57.955160Z"
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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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"ok\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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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/student_20140922(东营工程设计院监测花名册2023年) .xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 4).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, 6).value\n",
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" dict1['sex'] = sheet.cell(n, 7).value\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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"\n",
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"\n",
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" person[code] = dict1\n",
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"filename = 'data/东营工程设计院人员名单.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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"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": "76caa442-de4f-41eb-8743-b4a9d6c749d0",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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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": 10,
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"id": "579fd3c1-7fe3-49ef-8875-0d823b7d0546",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-03-23T14:30:43.407552Z",
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"iopub.status.busy": "2023-03-23T14:30:43.406666Z",
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"iopub.status.idle": "2023-03-23T14:30:43.479839Z",
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"shell.execute_reply": "2023-03-23T14:30:43.478772Z",
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"shell.execute_reply.started": "2023-03-23T14:30:43.407511Z"
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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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"338\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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"import openpyxl\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"#SQL语句为：\n",
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"#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n",
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"filename = 'data/东营工程设计院人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl) \n",
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"\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/141.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"dict3 = {}\n",
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"for result in list1:\n",
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" user = result[2]\n",
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" if user in dict2.keys():\n",
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" dict3.setdefault(user,{}) \n",
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" dict3[user]['name'] = dict2[user]['name']\n",
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" dict3[user]['unit'] = dict2[user]['unit']\n",
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"\n",
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"print(len(dict3))\n",
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"list1 = []\n",
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"for k, v in dict3.items():\n",
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" list2 = [k,v['name'],v['unit']]\n",
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" list1.append(list2)\n",
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"filename = 'data/东营工程设计院参加测试人员情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename) \n",
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" "
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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": "9d3647aa-9f06-4a96-9d60-690d61b1a384",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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