20251114
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@@ -3186,10 +3186,26 @@
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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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"execution_count": 57,
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"id": "7b79c7bb-ce87-44b2-95b1-01e9cb66d5f0",
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"metadata": {},
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"outputs": [],
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-13T05:44:27.934101Z",
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"iopub.status.busy": "2025-11-13T05:44:27.933541Z",
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"iopub.status.idle": "2025-11-13T05:44:27.991293Z",
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"shell.execute_reply": "2025-11-13T05:44:27.990805Z",
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"shell.execute_reply.started": "2025-11-13T05:44:27.934053Z"
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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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"759\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 datetime\n",
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@@ -3200,7 +3216,7 @@
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"filename = 'data/北海炼化人员2025.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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"filename = 'data/marks_20251110.csv'\n",
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"filename = 'data/marks_20251113.csv'\n",
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"re_ta = My.get_result(filename,dict1)\n",
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"\n",
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"\n",
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@@ -3210,6 +3226,58 @@
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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": "a7d2b973-cc05-4f06-9be8-54268a29dd84",
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"metadata": {},
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"source": [
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"## 导入手工数据"
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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": 60,
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"id": "458725a6-3b5b-48a1-af90-cd4d0bda3635",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-13T05:51:01.753768Z",
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"iopub.status.busy": "2025-11-13T05:51:01.752925Z",
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"iopub.status.idle": "2025-11-13T05:51:01.812931Z",
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"shell.execute_reply": "2025-11-13T05:51:01.812381Z",
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"shell.execute_reply.started": "2025-11-13T05:51:01.753692Z"
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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/北海炼化俯卧撑手工数据（2025年）.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"filename = 'data/result_北海2025.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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"for n in range(2, sheet.max_row+1):\n",
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" code = str(sheet.cell(n, 1).value)\n",
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" dict1[code].setdefault('pushup',{})\n",
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" dict1[code]['pushup']['成绩'] = str(sheet.cell(n,2).value)\n",
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"filename = 'data/result_北海2025.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(dict1, 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": "12b33ee8-2b4e-4b85-9301-4fbcadf4129c",
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@@ -3220,9 +3288,17 @@
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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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"execution_count": 53,
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"id": "ca079428-2df9-4f15-b141-2c83cd0efaf5",
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"metadata": {},
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-11T09:33:39.776590Z",
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"iopub.status.busy": "2025-11-11T09:33:39.775794Z",
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"iopub.status.idle": "2025-11-11T09:33:39.805844Z",
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"shell.execute_reply": "2025-11-11T09:33:39.805299Z",
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"shell.execute_reply.started": "2025-11-11T09:33:39.776523Z"
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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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@@ -3258,7 +3334,7 @@
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" list2 = [k,v['人数'],v['体测人数']]\n",
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" list1.append(list2)\n",
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"\n",
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"filename = 'data/北海炼化部门测试情况（截至20251110）.xlsx'\n",
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"filename = 'data/北海炼化部门测试情况（截至20251111）.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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@@ -3278,9 +3354,17 @@
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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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"execution_count": 54,
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"id": "482a3a46-31a6-433b-88a8-7cad228f853a",
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"metadata": {},
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-11T09:33:43.302910Z",
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"iopub.status.busy": "2025-11-11T09:33:43.302201Z",
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"iopub.status.idle": "2025-11-11T09:33:43.341073Z",
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"shell.execute_reply": "2025-11-11T09:33:43.339404Z",
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"shell.execute_reply.started": "2025-11-11T09:33:43.302855Z"
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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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@@ -3321,6 +3405,63 @@
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"## 问卷人员统计"
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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": 65,
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"id": "0bbf2cb6-e7d9-4d0d-beba-77ac50082f05",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-13T06:17:23.628451Z",
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"iopub.status.busy": "2025-11-13T06:17:23.627881Z",
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"iopub.status.idle": "2025-11-13T06:17:23.729071Z",
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"shell.execute_reply": "2025-11-13T06:17:23.728586Z",
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"shell.execute_reply.started": "2025-11-13T06:17:23.628397Z"
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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 csv\n",
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"import openpyxl\n",
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"import time\n",
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"from datetime import date\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/sql_20251113.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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" list1.append(line)\n",
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"filename = 'data/北海炼化人员2025.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict3 = json.load(fl)\n",
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"\n",
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"phone = {}\n",
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"for k,v in dict3.items():\n",
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" if 'phone' in v.keys():\n",
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" phone[str(v['phone'])] = k\n",
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"dict2 = {}\n",
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"list3 = []\n",
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"for item in list1: \n",
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" phone_num = str(item[0])[2:] \n",
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" if phone_num in phone:\n",
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" list2 = []\n",
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" content = json.loads(json.loads(item[1])) \n",
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" code = phone[phone_num]\n",
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" list2 = [code,dict3[code]['name'],dict3[code]['unit'],phone_num]\n",
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" list3.append(list2)\n",
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"title =['测试编号','姓名','部门','手机号码']\n",
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"filename = 'data/北海炼化问卷人员（截至20251113）.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 list3:\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": 43,
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@@ -3411,9 +3552,17 @@
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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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"execution_count": 62,
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"id": "f67f63d1-be8a-47ef-b95f-bdfca9725838",
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"metadata": {},
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-13T06:00:49.916395Z",
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"iopub.status.busy": "2025-11-13T06:00:49.915561Z",
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"iopub.status.idle": "2025-11-13T06:00:50.043798Z",
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"shell.execute_reply": "2025-11-13T06:00:50.043247Z",
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"shell.execute_reply.started": "2025-11-13T06:00:49.916323Z"
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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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@@ -3476,10 +3625,87 @@
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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": "markdown",
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"id": "9cb5f45e-15e5-4cf5-b82f-38e33729bad8",
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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": 61,
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"id": "3a0f5f5d-2bf0-46c8-b796-661e2f44c60c",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2025-11-13T05:51:13.926738Z",
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"iopub.status.busy": "2025-11-13T05:51:13.925983Z",
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"iopub.status.idle": "2025-11-13T05:51:14.123325Z",
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"shell.execute_reply": "2025-11-13T05:51:14.122772Z",
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"shell.execute_reply.started": "2025-11-13T05:51:13.926666Z"
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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 = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\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_北海2025.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/北海炼化人员2025.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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" 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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" list2.append(dict2[k]['birth'])\n",
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" if 'phone' in v.keys():\n",
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" list2.append(dict2[k]['phone'])\n",
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" else:\n",
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" list2.append('')\n",
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" \n",
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" if 'bmi' in v.keys():\n",
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" height = v['bmi']['成绩'].split(',')[0]\n",
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" weight = v['bmi']['成绩'].split(',')[1]\n",
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" list2.append(height)\n",
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" list2.append(weight)\n",
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" else:\n",
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" list2.append('')\n",
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" list2.append('')\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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" \n",
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" list1.append(list2)\n",
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"filename = 'data/北海炼化体测情况表(2025年）.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": "9cfbb3cd-8c5f-4353-b2fe-1eab7fa9ba6e",
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"id": "4b58eeae-089d-4007-ab5a-1e1e9e088dd7",
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"metadata": {},
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"outputs": [],
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"source": []
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