diff --git a/体测单位/巴陵石化.ipynb b/体测单位/巴陵石化.ipynb
deleted file mode 100644
index ab9992e..0000000
--- a/体测单位/巴陵石化.ipynb
+++ /dev/null
@@ -1,322 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "37eee6b1-ddbc-414c-ac74-e831c53c9bdb",
-   "metadata": {},
-   "source": [
-    "### 人员基本信息导入"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "a27e986c-0c40-4792-b24d-03b19df707a9",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-11-03T12:05:14.162807Z",
-     "iopub.status.busy": "2022-11-03T12:05:14.162264Z",
-     "iopub.status.idle": "2022-11-03T12:05:15.514597Z",
-     "shell.execute_reply": "2022-11-03T12:05:15.513708Z",
-     "shell.execute_reply.started": "2022-11-03T12:05:14.162759Z"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
-   "source": [
-    "import openpyxl\n",
-    "import json\n",
-    "\n",
-    "wb = openpyxl.load_workbook('data/巴陵石化监测花名册.xlsx')\n",
-    "sheet = wb.active\n",
-    "# sheets = wb.sheetnames\n",
-    "person = {}\n",
-    "for n in range(2, sheet.max_row+1):\n",
-    "    if sheet.cell(n,2).value is None:\n",
-    "        break\n",
-    "    else:        \n",
-    "        code = int(sheet.cell(n, 4).value)\n",
-    "        person.setdefault(code, {})\n",
-    "        dict1 = {}\n",
-    "        dict1['name'] = sheet.cell(n, 6).value    \n",
-    "        xb = str(sheet.cell(n, 7).value)\n",
-    "        if xb == '1':\n",
-    "            sex = '男'\n",
-    "        elif xb =='2':\n",
-    "            sex = '女'\n",
-    "        dict1['sex'] = sex\n",
-    "        dict1['unit'] = sheet.cell(n, 3).value\n",
-    "        dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]\n",
-    "        person[code] = dict1\n",
-    "filename = 'data/巴陵石化人员.json'\n",
-    "with open(filename, 'w') as fl:\n",
-    "    json.dump(person, fl, ensure_ascii=False)\n",
-    "print('ok')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b1384a8f-36f4-483e-afb4-65a56a064dd3",
-   "metadata": {},
-   "source": [
-    "### 获取人员测试成绩"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "e5e4145b-d575-46b5-a530-c722668f76f3",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-11-03T12:04:52.389836Z",
-     "iopub.status.busy": "2022-11-03T12:04:52.389246Z",
-     "iopub.status.idle": "2022-11-03T12:04:52.901781Z",
-     "shell.execute_reply": "2022-11-03T12:04:52.900587Z",
-     "shell.execute_reply.started": "2022-11-03T12:04:52.389788Z"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
-   "source": [
-    "import json\n",
-    "import time\n",
-    "import csv\n",
-    "\n",
-    "filename = '../item.json'\n",
-    "item = {}\n",
-    "unit = {}\n",
-    "with open(filename,'r') as fl:\n",
-    "    dict1 = json.load(fl) \n",
-    "for k,v in dict1.items():\n",
-    "    item[k] = v\n",
-    "#SQL语句为：\n",
-    "# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n",
-    "\n",
-    "re_ta = {}\n",
-    "dict1 = {}\n",
-    "list1 = []\n",
-    "#print(\"\\n运动项目信息：\")\n",
-    "filename = 'data/137_2210.csv'\n",
-    "with open(filename,'r',newline='') as csv_file:\n",
-    "    fl = csv.reader(csv_file,delimiter=',')\n",
-    "    header = next(fl)    \n",
-    "    for line in fl:\n",
-    "        #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
-    "        list1.append(line)\n",
-    "#print(list1)\n",
-    "for result in list1:\n",
-    "    user = str(result[4])\n",
-    "    m_item = str(result[0])    \n",
-    "    re_ta.setdefault(user,{})    \n",
-    "    re_ta[user]['name'] = str(result[6])\n",
-    "    re_ta[user]['unit'] = str(result[5])    \n",
-    "    item_name = item[m_item]['name']\n",
-    "    re_ta[user].setdefault(item_name,{})  \n",
-    "    score = int(result[1])/item[m_item]['divisor']    \n",
-    "    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
-    "    re_ta[user][item_name]['得分'] =result[2]\n",
-    "filename = 'data/result_巴陵.json'\n",
-    "with open(filename,'w') as fl:\n",
-    "    json.dump(re_ta, fl) \n",
-    "print('ok')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3c911994-2ce1-4412-8d56-39b195e66457",
-   "metadata": {},
-   "source": [
-    "### 导出测试成绩"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "0582bc84-7234-415f-9715-66c27b6b8f91",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-11-03T12:05:19.504467Z",
-     "iopub.status.busy": "2022-11-03T12:05:19.503886Z",
-     "iopub.status.idle": "2022-11-03T12:05:21.059764Z",
-     "shell.execute_reply": "2022-11-03T12:05:21.058715Z",
-     "shell.execute_reply.started": "2022-11-03T12:05:19.504418Z"
-    },
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import json\n",
-    "import openpyxl\n",
-    "\n",
-    "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",
-    "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",
-    "filename = 'data/result_巴陵.json'\n",
-    "with open(filename,'r') as fl:\n",
-    "    dict1 = json.load(fl)\n",
-    "\n",
-    "filename = 'data/巴陵石化人员.json'\n",
-    "with open(filename,'r') as fl:\n",
-    "    dict2 = json.load(fl)\n",
-    "    \n",
-    "list1 = []\n",
-    "for k, v in dict1.items():\n",
-    "    list2 = []\n",
-    "    list2.append(str(k).rjust(5,'0'))\n",
-    "    list2.append(v['name'])    \n",
-    "    list2.append(dict2[k]['sex'])\n",
-    "    list2.append(dict2[k]['unit'])    \n",
-    "    \n",
-    "    for item in items:\n",
-    "        if item in v.keys():\n",
-    "            list2.append(v[item]['成绩'])            \n",
-    "        elif item =='name':\n",
-    "            list2.append(v[item])\n",
-    "        else:\n",
-    "            list2.append('') \n",
-    "    list1.append(list2)\n",
-    "filename = 'data/巴陵石化体测情况表（截至20221103）.xlsx'\n",
-    "wb = openpyxl.Workbook()\n",
-    "sheet = wb.active\n",
-    "sheet.append(title)\n",
-    "for row in list1:\n",
-    "    sheet.append(row)\n",
-    "    \n",
-    "wb.save(filename)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8e8dc85d-7ed7-4146-98c6-8d2dc64026ea",
-   "metadata": {},
-   "source": [
-    "### 统计测试成绩"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "6b40ff7f-68c1-4c04-9bdc-3af16980fc25",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-10-22T07:59:39.080864Z",
-     "iopub.status.busy": "2022-10-22T07:59:39.080347Z",
-     "iopub.status.idle": "2022-10-22T07:59:39.176961Z",
-     "shell.execute_reply": "2022-10-22T07:59:39.176140Z",
-     "shell.execute_reply.started": "2022-10-22T07:59:39.080817Z"
-    },
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "女 体重 2262 515\n",
-      "女 肺活量 1455 513\n",
-      "女 握力 1016 515\n",
-      "女 单脚站立 1389 513\n",
-      "女 纵跳 1324 510\n",
-      "女 一分钟仰卧起坐 1733 442\n",
-      "女 选择反应时 1667 509\n",
-      "女 坐位体前屈 1682 499\n",
-      "女 俯卧撑 0 499\n",
-      "女 台阶指数 1158 457\n",
-      "男 体重 4031 1114\n",
-      "男 肺活量 2967 1114\n",
-      "男 握力 2174 1118\n",
-      "男 单脚站立 2257 1096\n",
-      "男 纵跳 2426 1097\n",
-      "男 坐位体前屈 3310 1085\n",
-      "男 选择反应时 3714 1112\n",
-      "男 台阶指数 2282 949\n",
-      "男 俯卧撑 3192 1084\n",
-      "男 一分钟仰卧起坐 0 1084\n"
-     ]
-    }
-   ],
-   "source": [
-    "import json\n",
-    "import openpyxl\n",
-    "\n",
-    "items = ['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",
-    "title = ['编号','姓名','性别','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",
-    "filename = 'data/result_巴陵.json'\n",
-    "with open(filename,'r') as fl:\n",
-    "    dict1 = json.load(fl)\n",
-    "\n",
-    "filename = 'data/巴陵石化人员.json'\n",
-    "with open(filename,'r') as fl:\n",
-    "    dict2 = json.load(fl)\n",
-    "    \n",
-    "list1 = []\n",
-    "dict3 = {}\n",
-    "i = 0\n",
-    "for k, v in dict1.items():\n",
-    "    sex = dict2[k]['sex']\n",
-    "    dict3.setdefault(sex,{})    \n",
-    "    for item in v.keys():\n",
-    "        if item in items:\n",
-    "            dict3[sex].setdefault(item,[]) \n",
-    "            if v[item]['得分'].isdigit() :\n",
-    "                dict3[sex][item].append(v[item]['得分'])    \n",
-    "#print(dict3)    \n",
-    "for k, v in dict3.items():\n",
-    "    sex = k\n",
-    "    for k1, v1 in v.items():\n",
-    "        df = 0\n",
-    "        if len(v1) >0:\n",
-    "            \n",
-    "            for i in range(0,len(v1)-1):\n",
-    "                df = df + int(v1[i])\n",
-    "        print(sex,k1,df,i)\n",
-    "            \n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4788ee4a-5b78-48ed-bfbf-dbf780baf569",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.10"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}