20230905

体测单位/东营石油工程设计院.ipynb

@@ -865,7 +865,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

体测单位/东营羊庙.ipynb

@@ -1404,7 +1404,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

体测单位/体质检测数据处理.ipynb

@@ -895,15 +895,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "cf345bf0-f11b-459e-9b69-b2843836f6f3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2023-05-19T08:30:41.861658Z",
+     "iopub.execute_input": "2023-08-29T13:51:03.280856Z",
-     "iopub.status.busy": "2023-05-19T08:30:41.860765Z",
+     "iopub.status.busy": "2023-08-29T13:51:03.280394Z",
-     "iopub.status.idle": "2023-05-19T08:30:42.006745Z",
+     "iopub.status.idle": "2023-08-29T13:51:03.399330Z",
-     "shell.execute_reply": "2023-05-19T08:30:42.006220Z",
+     "shell.execute_reply": "2023-08-29T13:51:03.398909Z",
-     "shell.execute_reply.started": "2023-05-19T08:30:41.861616Z"
+     "shell.execute_reply.started": "2023-08-29T13:51:03.280807Z"
     },
     "tags": []
    },
@@ -915,7 +915,7 @@
     "mydb = myclient[\"baogao\"]\n",
     "mycol = mydb[\"place\"]\n",
     "\n",
-    "mydict = { \"id\": \"714309\",\"name\": \"中国石化石家庄炼化公司\",  }\n",
+    "mydict = { \"id\": \"469849\",\"name\": \"长炼医院\",  }\n",
     " \n",
     "x = mycol.insert_one(mydict) "
    ]
@@ -1016,7 +1016,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

体测单位/北京农行.ipynb

@@ -1,5 +1,13 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4626da6c-d228-4270-8d8d-c98784a106ad",
+   "metadata": {},
+   "source": [
+    "# 第一次体测"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "ba2deee7-9c63-4115-bcee-ad341175fc02",
@@ -10,27 +18,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "id": "dea5e486-6927-469f-aa57-e5efac4670be",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:09.972334Z",
-     "iopub.status.busy": "2023-05-31T05:19:09.971473Z",
-     "iopub.status.idle": "2023-05-31T05:19:10.054344Z",
-     "shell.execute_reply": "2023-05-31T05:19:10.053621Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:09.972292Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -255,27 +248,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "id": "c925d850-ff06-4be5-bf9f-31f4385c37c0",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:14.796522Z",
-     "iopub.status.busy": "2023-05-31T05:19:14.795763Z",
-     "iopub.status.idle": "2023-05-31T05:19:14.859923Z",
-     "shell.execute_reply": "2023-05-31T05:19:14.858869Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:14.796492Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "163\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "import openpyxl\n",
@@ -313,28 +291,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": null,
    "id": "a87384c6-dc46-4d09-b757-b42462ed818d",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:18.950211Z",
-     "iopub.status.busy": "2023-05-31T05:19:18.949352Z",
-     "iopub.status.idle": "2023-05-31T05:19:18.965945Z",
-     "shell.execute_reply": "2023-05-31T05:19:18.964916Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:18.950168Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "164\n",
-      "['659821', '079384', '876923', '387406', '694158', '563974', '628540', '281407', '798056', '274185', '705316', '571698', '693240', '650329', '481397', '610492', '250746', '619873', '675018', '619204', '984351', '279548', '027154', '856432', '296138', '290486', '218396', '973605', '269043', '653487', '528397', '031947', '370415', '872591', '018592', '251794', '718203', '869254', '408517', '071948', '536729', '259430', '867310', '285413', '805216', '405192', '630721', '386219', '504216', '418752', '402398', '231947', '850743', '901378', '394175', '431092', '157489', '961378', '305921', '620417', '352906', '629380', '417086', '086149', '804693', '342580', '310827', '637102', '128635', '346780', '325076', '643917', '710548', '046732', '762390', '350712', '368419', '342701', '245107', '087136', '023185', '759846', '346758', '514976', '570482', '781935', '210987', '340615', '075891', '810596', '430689', '920785', '815347', '917562', '295817', '765238', '058479', '674159', '567894', '109842', '851943', '703918', '073489', '403958', '578492', '798046', '502876', '943180', '498306', '835760', '726305', '490867', '709413', '275683', '256934', '721830', '973841', '729685', '021349', '265413', '321597', '064187', '136794', '708352', '710928', '657129', '962105', '905436', '513749', '257361', '420691', '941567', '839574', '906358', '218095', '364152', '562149', '109823', '560942', '293561', '194053', '509246', '026951', '243561', '093154', '654083', '519048', '459136', '914362', '605834', '508693', '823906', '349725', '572390', '541236', '419570', '513467', '724063', '164823', '890712', '529840', '641958', '678590', '648951']\n"
-     ]
-    }
-   ],
    "source": [
     "import random\n",
     "import json\n",
@@ -375,27 +337,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": null,
    "id": "10845b90-48b4-4418-9dac-dd4a6f0147c0",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-31T05:19:22.535432Z",
-     "iopub.status.busy": "2023-05-31T05:19:22.534590Z",
-     "iopub.status.idle": "2023-05-31T05:19:22.546728Z",
-     "shell.execute_reply": "2023-05-31T05:19:22.545447Z",
-     "shell.execute_reply.started": "2023-05-31T05:19:22.535392Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "163\n"
-     ]
-    }
-   ],
    "source": [
     "filename = 'data/农业银行测试手机号码.json'\n",
     "with open(filename,'r') as fl:\n",
@@ -421,41 +368,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "id": "62733f52-62c1-43aa-964a-232eab8b5251",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-25T10:18:47.776482Z",
-     "iopub.status.busy": "2023-05-25T10:18:47.776048Z",
-     "iopub.status.idle": "2023-05-25T10:18:48.066702Z",
-     "shell.execute_reply": "2023-05-25T10:18:48.065832Z",
-     "shell.execute_reply.started": "2023-05-25T10:18:47.776444Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{\n",
-      "  \"SendStatusSet\": [\n",
-      "    {\n",
-      "      \"SerialNo\": \"2640:135690281916850099280618075\",\n",
-      "      \"PhoneNumber\": \"+8613793180751\",\n",
-      "      \"Fee\": 1,\n",
-      "      \"SessionContext\": \"\",\n",
-      "      \"Code\": \"Ok\",\n",
-      "      \"Message\": \"send success\",\n",
-      "      \"IsoCode\": \"CN\"\n",
-      "    }\n",
-      "  ],\n",
-      "  \"RequestId\": \"7601194b-56e4-45a8-9543-6fcc76ce16a6\"\n",
-      "}\n"
-     ]
-    }
-   ],
    "source": [
+    "import json\n",
     "from tencentcloud.common import credential\n",
     "from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException\n",
     "from tencentcloud.sms.v20210111 import sms_client, models\n",
@@ -477,8 +397,8 @@
     "    req = models.SendSmsRequest()\n",
     "    req.SmsSdkAppId = \"1400140089\"\n",
     "    req.SignName = \"坤铭教育\"\n",
-    "    req.TemplateId = \"1808914\"    \n",
+    "    req.TemplateId = \"1875765\"    \n",
-    "    req.TemplateParamSet = [\"1234\"]\n",
+    "    req.TemplateParamSet = [\"北京石油分公司体测者\",\"01740518\"]\n",
     "    req.PhoneNumberSet = [\"+8613793180751\"]\n",
     "    req.SessionContext = \"\"\n",
     "    req.ExtendCode = \"\"\n",
@@ -491,27 +411,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "id": "e924a0a9-65a5-49c4-bdf2-b9152d278ad5",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-05-25T11:05:39.390622Z",
-     "iopub.status.busy": "2023-05-25T11:05:39.389793Z",
-     "iopub.status.idle": "2023-05-25T11:05:39.396312Z",
-     "shell.execute_reply": "2023-05-25T11:05:39.395239Z",
-     "shell.execute_reply.started": "2023-05-25T11:05:39.390580Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "send success\n"
-     ]
-    }
-   ],
    "source": [
     "dict1 = json.loads(resp.to_json_string(indent=2))\n",
     "print(dict1['SendStatusSet'][0][\"Message\"])"
@@ -527,30 +432,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": null,
    "id": "910d1881-d090-48dc-ac87-685ccaaf9553",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-06-07T02:57:09.482569Z",
-     "iopub.status.busy": "2023-06-07T02:57:09.481698Z",
-     "iopub.status.idle": "2023-06-07T02:57:10.568979Z",
-     "shell.execute_reply": "2023-06-07T02:57:10.567913Z",
-     "shell.execute_reply.started": "2023-06-07T02:57:09.482528Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "亓宇航 send success\n",
-      "李伟丽 send success\n",
-      "高松 send success\n",
-      "张树伟 send success\n"
-     ]
-    }
-   ],
    "source": [
     "\n",
     "from tencentcloud.common import credential\n",
@@ -588,7 +475,7 @@
     "        req.SessionContext = \"\"\n",
     "        req.ExtendCode = \"\"\n",
     "        req.SenderId = \"\"\n",
-    "        resp = client.SendSms(req)\n",
+    "        #resp = client.SendSms(req)\n",
     "        dict2 = json.loads(resp.to_json_string(indent=2))\n",
     "\n",
     "        print(v['name'],dict2['SendStatusSet'][0][\"Message\"])\n",
@@ -596,10 +483,308 @@
     "        print(v['name'],err)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "59d38404-e097-4f08-a3fd-565e351f09bb",
+   "metadata": {},
+   "source": [
+    "# 第二次体测"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "deeb7606-5752-4337-9117-4ba9edc762e9",
+   "metadata": {},
+   "source": [
+    "## 人员信息导入"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "759cad53-8745-4862-8874-cf35f13ab0b3",
+   "id": "d803a2b2-4a61-42ba-84a3-e9846e3e9f5c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/北京分行员工体质检测情况表.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "person = {}\n",
+    "\n",
+    "for n in range(2, sheet.max_row+1):\n",
+    "    if sheet.cell(n,1).value is not None:\n",
+    "        code = int(sheet.cell(n, 1).value)\n",
+    "        person.setdefault(code, {})\n",
+    "        dict1 = {}\n",
+    "        dict1['name'] = sheet.cell(n, 3).value\n",
+    "        if sheet.cell(n, 4).value ==1:\n",
+    "            sex = '男'\n",
+    "        else:\n",
+    "            sex = '女'\n",
+    "        dict1['sex'] = sex\n",
+    "        birth = str(sheet.cell(n, 5).value).split()[0]\n",
+    "        dict1['birth'] = birth\n",
+    "        dict1['unit'] = sheet.cell(n, 2).value\n",
+    "        if sheet.cell(n,6).value is not None:\n",
+    "            dict1['phone'] = sheet.cell(n, 6).value        \n",
+    "        person[code] = dict1\n",
+    "\n",
+    "filename = 'data/北京农行人员名单2308.json'\n",
+    "with open(filename, 'w') as fl:\n",
+    "    json.dump(person, fl, ensure_ascii=False)\n",
+    "print('ok')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff97823f-fd67-45ae-bd78-f209317be6b9",
+   "metadata": {},
+   "source": [
+    "## 成绩导入"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4adf86dd-addf-490a-9954-5dcac4693868",
+   "metadata": {},
+   "outputs": [],
+   "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",
+    "re_ta = {}\n",
+    "dict1 = {}\n",
+    "list1 = []\n",
+    "filename = 'data/北京农行人员名单2308.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "filename = 'data/places_result_20230825.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[2])\n",
+    "    if user in dict1.keys():        \n",
+    "        m_item = str(result[3])    \n",
+    "        re_ta.setdefault(user,{})    \n",
+    "        re_ta[user]['name'] = dict1[user]['name']\n",
+    "        re_ta[user]['sex'] = dict1[user]['sex'] \n",
+    "        re_ta[user]['unit'] = dict1[user]['unit']\n",
+    "        item_name = item[m_item]['name']\n",
+    "        re_ta[user].setdefault(item_name,{})  \n",
+    "        score = int(result[4])/item[m_item]['divisor']    \n",
+    "        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
+    "print(len(re_ta))\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb01b9a9-418d-4a1b-8ea9-1215af0b8285",
+   "metadata": {},
+   "outputs": [],
+   "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",
+    "re_ta = {}\n",
+    "dict1 = {}\n",
+    "list1 = []\n",
+    "filename = 'data/北京农行人员名单2308.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "filename = 'data/places_result_20230825.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[2])\n",
+    "    if user in dict1.keys():        \n",
+    "        m_item = str(result[3])    \n",
+    "        re_ta.setdefault(user,{})    \n",
+    "        re_ta[user]['name'] = dict1[user]['name']\n",
+    "        re_ta[user]['sex'] = dict1[user]['sex'] \n",
+    "        re_ta[user]['unit'] = dict1[user]['unit']\n",
+    "        item_name = item[m_item]['name']\n",
+    "        re_ta[user].setdefault(item_name,{})  \n",
+    "        score = int(result[4])/item[m_item]['divisor']    \n",
+    "        re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
+    "print(len(re_ta))\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d2a0d63-4124-4063-96a7-a02478b9eabe",
+   "metadata": {},
+   "source": [
+    "## 查看项目不足人员"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b26857af-5fa3-42d0-bf79-bc33d9f5e4a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import time\n",
+    "import csv\n",
+    "\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "i= 0\n",
+    "for k, v in dict1.items():\n",
+    "    if len(v.keys())< 8:\n",
+    "        print(k,v['name'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1966307c-4161-4c5b-b19a-b8a143972223",
+   "metadata": {},
+   "source": [
+    "## 导出测试人员信息"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "288e39fb-b7e3-4566-ac13-ba98d7e72edb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "list1 =[]\n",
+    "for k, v in dict1.items():\n",
+    "    list2 = []\n",
+    "    list2 = [k,v['name'],v['sex'],v['unit']]\n",
+    "    list1.append(list2)\n",
+    "filename = 'data/北京农行测试人员202308.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a42cb587-8673-4655-8943-3cbd63f22b73",
+   "metadata": {},
+   "source": [
+    "## 检查性别"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6352b95c-0e19-4943-9e99-218138213060",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "\n",
+    "filename = 'data/result_北京农行0825.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "for k, v in dict1.items():\n",
+    "    if v['sex'] == '男' and '一分钟仰卧起坐' in v.keys():\n",
+    "        print(k,'应为女性！')\n",
+    "    if v['sex'] == '女' and '俯卧撑' in v.keys():\n",
+    "        print(k,'应为男性！')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fddd68cd-b20c-4cf9-b503-5d59f52e3c1b",
+   "metadata": {},
+   "source": [
+    "## 手工数据生成SQL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "372294de-5370-41c0-9883-b18de9d8ef7e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import openpyxl\n",
+    "import json\n",
+    "\n",
+    "\n",
+    "wb = openpyxl.load_workbook('data/北京农行测试人员202308.xlsx')\n",
+    "sheet = wb.active\n",
+    "# sheets = wb.sheetnames\n",
+    "dict1 = {}\n",
+    "\n",
+    "data1 =list(sheet.values)\n",
+    "del data1[0]\n",
+    "list1 = []\n",
+    "for item in data1:\n",
+    "    code = int(item[0])\n",
+    "    list1.append((309118,code,5,item[4],'2023-08-23','2023-08-23 22:00:00'))\n",
+    "print(list1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "93d4d513-17ee-4f20-bd86-be52398b5852",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -621,7 +806,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

体测单位/燕山石化.ipynb

@@ -2204,7 +2204,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

体测单位/石家庄石化.ipynb

@@ -1150,7 +1150,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

体测单位/西藏.ipynb

@@ -10,27 +10,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": null,
    "id": "07f7e97e-670e-4301-b83d-1304514f15d5",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:10.229928Z",
-     "iopub.status.busy": "2023-07-05T02:45:10.229085Z",
-     "iopub.status.idle": "2023-07-05T02:45:10.320665Z",
-     "shell.execute_reply": "2023-07-05T02:45:10.319936Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:10.229888Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
    "source": [
     "import openpyxl\n",
     "import json\n",
@@ -65,6 +50,56 @@
     "print('ok')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "be805082-d5d7-405b-975c-fb902085a041",
+   "metadata": {},
+   "source": [
+    "## 文件更名"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b51cf562-c708-4164-8431-5093247880c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os,sys,shutil\n",
+    "import json\n",
+    "import math\n",
+    "import glob\n",
+    "from pathlib import Path\n",
+    "\n",
+    "fi_path = 'file/2023-06-07'\n",
+    "old = []\n",
+    "dict2 = {}\n",
+    "\n",
+    "filename = 'data/西藏人员.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "for k, v in dict1.items():\n",
+    "    m_name = v['name']\n",
+    "    dict2[int(k)] = [m_name]\n",
+    "\n",
+    "fls = glob.glob(f'{fi_path}/*.pdf')\n",
+    "\n",
+    "for fn in fls:\n",
+    "    old.append(os.path.basename(fn).split('.')[0])\n",
+    "\n",
+    "for n in old:    \n",
+    "    o_name = f'{fi_path}/{n}.pdf'\n",
+    "    new_path = Path(fi_path,'new')\n",
+    "    new_path.mkdir(parents = True, exist_ok = True)\n",
+    "    n_name = Path(new_path,f'{str(n).rjust(5,\"0\")}-{dict2[int(n)][0]}.pdf')\n",
+    "    if not os.path.exists(n_name):\n",
+    "        shutil.copyfile(o_name,n_name)\n",
+    "        print(n_name)\n",
+    "    \n",
+    "print('ok')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "962f6edd-c8d1-42a2-aaff-58f92ccf8d56",
@@ -309,28 +344,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": null,
    "id": "e19a4c58-df1e-4136-bf10-33e9ed885e50",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-04T13:02:15.967924Z",
-     "iopub.status.busy": "2023-07-04T13:02:15.967138Z",
-     "iopub.status.idle": "2023-07-04T13:02:16.005279Z",
-     "shell.execute_reply": "2023-07-04T13:02:16.004236Z",
-     "shell.execute_reply.started": "2023-07-04T13:02:15.967883Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "165\n",
-      "165\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "import time\n",
@@ -447,31 +466,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": null,
    "id": "3696d7e1-afb8-4f9d-ba29-9aaa977b52de",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:28.348666Z",
-     "iopub.status.busy": "2023-07-05T02:45:28.348242Z",
-     "iopub.status.idle": "2023-07-05T02:45:28.389486Z",
-     "shell.execute_reply": "2023-07-05T02:45:28.388452Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:28.348638Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "165\n",
-      "[]\n",
-      "165\n",
-      "ok\n",
-      "165\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "import time\n",
@@ -491,7 +491,7 @@
     "re_ta = {}\n",
     "list1 = []\n",
     "#print(\"\\n运动项目信息：\")\n",
-    "filename = 'data/places_result_20230704.csv'\n",
+    "filename = 'data/places_result_20230714.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -540,27 +540,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": null,
    "id": "b71c8bf6-2530-425f-9516-8757b40e3dc5",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:31.683237Z",
-     "iopub.status.busy": "2023-07-05T02:45:31.682418Z",
-     "iopub.status.idle": "2023-07-05T02:45:31.710877Z",
-     "shell.execute_reply": "2023-07-05T02:45:31.709811Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:31.683198Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "import datetime\n",
@@ -592,27 +577,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": null,
    "id": "0e75cfbb-2b63-4163-831c-933fff1481c2",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:50.311946Z",
-     "iopub.status.busy": "2023-07-05T02:45:50.311092Z",
-     "iopub.status.idle": "2023-07-05T02:45:50.340231Z",
-     "shell.execute_reply": "2023-07-05T02:45:50.339150Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:50.311906Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ok\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "\n",
@@ -646,31 +616,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": null,
    "id": "99f02e37-3a03-4d7d-a2b9-7bf5563c253c",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:52.771879Z",
-     "iopub.status.busy": "2023-07-05T02:45:52.771043Z",
-     "iopub.status.idle": "2023-07-05T02:45:52.802079Z",
-     "shell.execute_reply": "2023-07-05T02:45:52.801054Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:52.771839Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "0~255分人数：115人,男性：67人,女性:48人\n",
-      "256~332分人数：42人,男性：27人,女性:15人\n",
-      "333~367分人数：8人,男性：4人,女性:4人\n",
-      "368~500分人数：0人,男性：0人,女性:0人\n",
-      "ok\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "\n",
@@ -714,34 +665,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": null,
    "id": "1435c8af-094d-44b3-a024-af3615c07c21",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:45:57.071802Z",
-     "iopub.status.busy": "2023-07-05T02:45:57.070977Z",
-     "iopub.status.idle": "2023-07-05T02:45:57.086551Z",
-     "shell.execute_reply": "2023-07-05T02:45:57.085522Z",
-     "shell.execute_reply.started": "2023-07-05T02:45:57.071762Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20~24岁平均成绩：2.43分，人数：9人,男性：7人\n",
-      "25~29岁平均成绩：2.14分，人数：49人,男性：27人\n",
-      "30~34岁平均成绩：2.26分，人数：38人,男性：22人\n",
-      "35~39岁平均成绩：2.39分，人数：27人,男性：12人\n",
-      "40~44岁平均成绩：2.37分，人数：26人,男性：15人\n",
-      "45~49岁平均成绩：2.52分，人数：10人,男性：9人\n",
-      "50~54岁平均成绩：2.48分，人数：5人,男性：5人\n",
-      "55~69岁平均成绩：2.67分，人数：1人,男性：1人\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "\n",
@@ -776,34 +705,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": null,
    "id": "650cf1eb-8681-4911-9b04-80468fe6bf64",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:47:11.272824Z",
-     "iopub.status.busy": "2023-07-05T02:47:11.271965Z",
-     "iopub.status.idle": "2023-07-05T02:47:11.287782Z",
-     "shell.execute_reply": "2023-07-05T02:47:11.286539Z",
-     "shell.execute_reply.started": "2023-07-05T02:47:11.272783Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20~24岁平均成绩：2.45分，人数：7人\n",
-      "25~29岁平均成绩：2.0分，人数：27人\n",
-      "30~34岁平均成绩：2.39分，人数：22人\n",
-      "35~39岁平均成绩：2.36分，人数：12人\n",
-      "40~44岁平均成绩：2.53分，人数：15人\n",
-      "45~49岁平均成绩：2.54分，人数：9人\n",
-      "50~54岁平均成绩：2.48分，人数：5人\n",
-      "55~80岁平均成绩：2.67分，人数：1人\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "\n",
@@ -838,34 +745,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": null,
    "id": "9ccb9b3c-de57-49f4-a4c6-10a24737e857",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-04T13:08:22.477549Z",
-     "iopub.status.busy": "2023-07-04T13:08:22.476783Z",
-     "iopub.status.idle": "2023-07-04T13:08:22.492628Z",
-     "shell.execute_reply": "2023-07-04T13:08:22.491401Z",
-     "shell.execute_reply.started": "2023-07-04T13:08:22.477510Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20~24岁平均成绩：2.33分，人数：2人\n",
-      "25~29岁平均成绩：2.32分，人数：22人\n",
-      "30~34岁平均成绩：2.07分，人数：16人\n",
-      "35~39岁平均成绩：2.41分，人数：15人\n",
-      "40~44岁平均成绩：2.15分，人数：11人\n",
-      "45~49岁平均成绩：2.33分，人数：1人\n",
-      "50~54岁平均成绩：0分，人数：0人\n",
-      "55~80岁平均成绩：0分，人数：0人\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "\n",
@@ -899,29 +784,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": null,
    "id": "c8cd897e-0d41-4faa-860f-395d42208674",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T03:18:05.849161Z",
-     "iopub.status.busy": "2023-07-05T03:18:05.848313Z",
-     "iopub.status.idle": "2023-07-05T03:18:05.864430Z",
-     "shell.execute_reply": "2023-07-05T03:18:05.863382Z",
-     "shell.execute_reply.started": "2023-07-05T03:18:05.849120Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "平均成绩：2.3266分，男性：98人\n",
-      "平均成绩：2.2533分，女性：67人\n",
-      "平均成绩：2.2968分，总体：165人\n"
-     ]
-    }
-   ],
    "source": [
     "import json\n",
     "\n",
@@ -960,34 +828,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": null,
    "id": "28b418f2-2324-450f-9684-4df15e012694",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:43:38.489757Z",
-     "iopub.status.busy": "2023-07-05T02:43:38.488929Z",
-     "iopub.status.idle": "2023-07-05T02:43:38.506679Z",
-     "shell.execute_reply": "2023-07-05T02:43:38.505448Z",
-     "shell.execute_reply.started": "2023-07-05T02:43:38.489716Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20-24 {'合格': 1, '不合格': 1}\n",
-      "25-29 {'良好': 2, '不合格': 15, '合格': 5}\n",
-      "30-34 {'合格': 3, '不合格': 12, '良好': 1}\n",
-      "35-39 {'合格': 4, '良好': 1, '不合格': 10}\n",
-      "40-44 {'不合格': 9, '良好': 0, '合格': 2}\n",
-      "45-49 {'不合格': 1, '合格': 0, '良好': 0}\n",
-      "50-54 {'合格': 0, '良好': 0, '不合格': 0}\n",
-      "55-80 {'合格': 0}\n"
-     ]
-    }
-   ],
    "source": [
     "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
     "\n",
@@ -1027,34 +873,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": null,
    "id": "a80224fb-1726-4370-9d3d-6e0a27afa8b2",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:47:19.469192Z",
-     "iopub.status.busy": "2023-07-05T02:47:19.468357Z",
-     "iopub.status.idle": "2023-07-05T02:47:19.486494Z",
-     "shell.execute_reply": "2023-07-05T02:47:19.485227Z",
-     "shell.execute_reply.started": "2023-07-05T02:47:19.469153Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "20-24 {'合格': 3, '不合格': 4}\n",
-      "25-29 {'良好': 0, '不合格': 24, '合格': 3}\n",
-      "30-34 {'合格': 7, '不合格': 15, '良好': 0}\n",
-      "35-39 {'合格': 5, '良好': 0, '不合格': 7}\n",
-      "40-44 {'不合格': 9, '良好': 1, '合格': 5}\n",
-      "45-49 {'不合格': 5, '合格': 2, '良好': 2}\n",
-      "50-54 {'合格': 1, '良好': 1, '不合格': 3}\n",
-      "55-80 {'合格': 1}\n"
-     ]
-    }
-   ],
    "source": [
     "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
     "\n",
@@ -1094,32 +918,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": null,
    "id": "945b9bec-247b-498b-96f6-a52fabbf6c89",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-07-05T02:47:22.379999Z",
-     "iopub.status.busy": "2023-07-05T02:47:22.379167Z",
-     "iopub.status.idle": "2023-07-05T02:47:22.392962Z",
-     "shell.execute_reply": "2023-07-05T02:47:22.391756Z",
-     "shell.execute_reply.started": "2023-07-05T02:47:22.379959Z"
-    },
     "tags": []
    },
-   "outputs": [
+   "outputs": [],
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "体重 3.46 164\n",
-      "肺活量 2.22 164\n",
-      "握力 1.19 164\n",
-      "坐位体前屈 1.9 163\n",
-      "单脚站立 2.19 165\n",
-      "选择反应时 2.8 165\n"
-     ]
-    }
-   ],
    "source": [
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
@@ -1134,10 +938,123 @@
     "    print(item,round(score/n,2),n)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "abba5b74-bfcd-4ec0-b682-10170138ff36",
+   "metadata": {},
+   "source": [
+    "### 生成脊椎情况明细"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c840e9b2-ce95-40c5-9f67-438a88ae0736",
+   "id": "da4ba403-92a8-4fd8-8dfc-49802b941fca",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "aebb4eb4-2bcd-411c-8868-292fae38d8b5",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-07-19T05:21:21.489267Z",
+     "iopub.status.busy": "2023-07-19T05:21:21.488401Z",
+     "iopub.status.idle": "2023-07-19T05:21:21.503231Z",
+     "shell.execute_reply": "2023-07-19T05:21:21.502005Z",
+     "shell.execute_reply.started": "2023-07-19T05:21:21.489227Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'q1': 34, 'q2': 37, 'q3': 32, 'q4': 86, 'q5': 55, 'q6': 33, 'q7': 63, 'q8': 29, 'q9': 59, 'q10': 14, 'q11': 47, 'q12': 58, 'q13': 14, 'q14': 8, 'q15': 54, 'q16': 52, 'q17': 20, 'q18': 54, 'q19': 43, 'q20': 1, 'q21': 31, 'q22': 22, 'q23': 50, 'q24': 10, 'q25': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import csv\n",
+    "\n",
+    "dict1 = {}\n",
+    "dict2 = {}\n",
+    "for i in range(1,26):\n",
+    "    dict1[f'q{str(i)}'] = 0\n",
+    "    \n",
+    "list1 = []\n",
+    "filename = 'data/Survey_20230719.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",
+    "list2 = []\n",
+    "for result in list1:\n",
+    "    data = json.loads(result[5].strip())\n",
+    "    for k, v in data.items():\n",
+    "        if v:\n",
+    "            dict1[k] += 1\n",
+    "print(dict1)    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "ad102064-de18-41aa-9829-b9b398df53d6",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-07-19T05:18:48.000423Z",
+     "iopub.status.busy": "2023-07-19T05:18:47.999556Z",
+     "iopub.status.idle": "2023-07-19T05:18:48.014467Z",
+     "shell.execute_reply": "2023-07-19T05:18:48.013436Z",
+     "shell.execute_reply.started": "2023-07-19T05:18:48.000379Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['10422', 'zsyxz1', '', '张斌', '35', '{\"q25\":true,\"q1\":false,\"q2\":false,\"q3\":false,\"q4\":true,\"q5\":true,\"q6\":true,\"q7\":true,\"q8\":false,\"q9\":true,\"q10\":false,\"q11\":false,\"q12\":false,\"q13\":false,\"q14\":false,\"q15\":true,\"q16\":false,\"q17\":false,\"q18\":false,\"q19\":true,\"q20\":false,\"q21\":true,\"q22\":false,\"q23\":false,\"q24\":true}', '2023-06-01 20:00:00']\n",
+      "['10424', 'zsyxz1', '', '余兴见', '85', '{\"q25\":true,\"q1\":false,\"q2\":true,\"q3\":false,\"q4\":true,\"q5\":true,\"q6\":false,\"q7\":true,\"q8\":true,\"q9\":true,\"q10\":false,\"q11\":true,\"q12\":true,\"q13\":false,\"q14\":false,\"q15\":true,\"q16\":true,\"q17\":true,\"q18\":false,\"q19\":false,\"q20\":false,\"q21\":true,\"q22\":true,\"q23\":false,\"q24\":true}', '2023-06-01 20:00:00']\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import csv\n",
+    "\n",
+    "dict1 = {}\n",
+    "dict2 = {}\n",
+    "for i in range(1,26):\n",
+    "    dict1[f'q{str(i)}'] = 0\n",
+    "    \n",
+    "list1 = []\n",
+    "filename = 'data/Survey_20230719.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",
+    "list2 = []\n",
+    "for result in list1:\n",
+    "    data = json.loads(result[5].strip())\n",
+    "    for k, v in data.items():\n",
+    "        if k == 'q25'and v:\n",
+    "            print(result)\n",
+    "#print(dict1)    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2787bc9f-6492-4b51-9b37-87ac098d93b9",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -1159,7 +1076,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

数据处理.ipynb

@@ -159,15 +159,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-08-29T03:26:35.055593Z",
+     "iopub.status.busy": "2023-08-29T03:26:35.055086Z",
+     "iopub.status.idle": "2023-08-29T03:26:35.077483Z",
+     "shell.execute_reply": "2023-08-29T03:26:35.076400Z",
+     "shell.execute_reply.started": "2023-08-29T03:26:35.055541Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "bs b'\\xd4\\xc0\\xcd\\xaf'\n",
+      "decode-bs: 岳童\n",
+      "gbcode: b'\\xc2\\xed\\xc1\\xa2\\xd1\\xc7'\n",
+      "gbs: c2edc1a2d1c7\n"
+     ]
+    }
+   ],
    "source": [
     "import binascii\n",
     "\n",
-    "gbs = 'C0EEB574'\n",
+    "gbs = 'D4C0CDAF'\n",
     "bs = binascii.a2b_hex(gbs)\n",
     "print('bs', bs)\n",
     "print('decode-bs:', bs.decode('gbk'))\n",
@@ -1440,7 +1458,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

文件操作.ipynb

@@ -1247,7 +1247,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,

文件管理.ipynb

@@ -1344,7 +1344,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,