20240705
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@@ -4,6 +4,7 @@
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"cell_type": "markdown",
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"id": "55644860-57e6-466b-b6e9-e6fdd807498d",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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@@ -53,7 +54,7 @@
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" dict1['birth'] = birth\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" person[code] = dict1\n",
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"filename = 'data/长炼医院人员名单.json'\n",
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"filename = 'data/长炼医院人员2024.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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@@ -1985,7 +1986,9 @@
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{
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"cell_type": "markdown",
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"id": "78942564-c286-4f4e-8d89-515a2b4b4c86",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"# 员工数据分析"
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]
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@@ -2482,10 +2485,212 @@
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" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人,男性：{m}人')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6b0651da-ade9-4cb4-b1c1-12b9e4dc267a",
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"metadata": {},
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"source": [
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"# 员工体测2024年"
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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": 1,
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"id": "0b877c2a-7fb3-4b34-81ab-58b9a09c4890",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-04T12:14:19.043925Z",
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"iopub.status.busy": "2024-07-04T12:14:19.042643Z",
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"iopub.status.idle": "2024-07-04T12:14:19.424433Z",
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"shell.execute_reply": "2024-07-04T12:14:19.423870Z",
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"shell.execute_reply.started": "2024-07-04T12:14:19.043842Z"
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}
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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/长炼医院测花名册（2024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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" if int(sheet.cell(n, 7).value) ==1:\n",
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" sex = '男'\n",
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" else:\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" birth = str(sheet.cell(n, 8).value).split()[0]\n",
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" dict1['birth'] = birth\n",
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" dict1['unit'] = sheet.cell(n, 3).value\n",
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" person[code] = dict1\n",
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"filename = 'data/长炼医院人员2024.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": "b056832e-049c-40f4-b7e7-adac6976bf77",
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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": 2,
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"id": "1e2d586e-6ff5-4fd1-a909-278d23e54561",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-04T12:19:29.383802Z",
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"iopub.status.busy": "2024-07-04T12:19:29.383485Z",
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"iopub.status.idle": "2024-07-04T12:19:29.401169Z",
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"shell.execute_reply": "2024-07-04T12:19:29.400657Z",
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"shell.execute_reply.started": "2024-07-04T12:19:29.383777Z"
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}
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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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"65\n",
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"65\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 time\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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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/长炼医院人员2024.json'\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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"filename = 'data/places_result_20240704.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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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_长炼医院（2024年）.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8af6a13c-3be4-44ff-a937-ee5061454484",
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"metadata": {},
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"source": [
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"## 导出测试人员信息"
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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": 3,
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"id": "64c6e1e3-801c-4573-b78f-5a9e842597a9",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-07-04T12:21:46.281916Z",
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"iopub.status.busy": "2024-07-04T12:21:46.281196Z",
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"iopub.status.idle": "2024-07-04T12:21:46.315546Z",
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"shell.execute_reply": "2024-07-04T12:21:46.315046Z",
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"shell.execute_reply.started": "2024-07-04T12:21:46.281853Z"
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}
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"title = ['编号','姓名','性别','单位','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"\n",
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"filename = 'data/result_长炼医院（2024年）.json'\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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"filename = 'data/长炼医院人员2024.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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"for k, v in dict1.items():\n",
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" if k in dict2.keys():\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit'])\n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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"filename = 'data/长炼医院人员202406.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\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)"
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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": "dcf80c81-907f-4397-8ebf-7b9234e63af1",
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"id": "f2345606-fe1b-49d4-b99b-f94aeec593eb",
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"metadata": {},
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"outputs": [],
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"source": []
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