20220921

体质检测管理.ipynb

@@ -971,12 +971,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "id": "93d73139-1734-49e5-a59a-15898af9b1d8",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-09-20T15:35:38.432469Z",
+     "iopub.status.busy": "2022-09-20T15:35:38.431154Z",
+     "iopub.status.idle": "2022-09-20T15:35:39.124591Z",
+     "shell.execute_reply": "2022-09-20T15:35:39.120784Z",
+     "shell.execute_reply.started": "2022-09-20T15:35:38.432357Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
    "source": [
     "import pymysql\n",
     "import json\n",
@@ -997,7 +1012,7 @@
     "dict1 = {}\n",
     "list1 = []\n",
     "#print(\"\\n运动项目信息：\")\n",
-    "filename = 'data/135.csv'\n",
+    "filename = 'data/136_220914.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -1016,7 +1031,7 @@
     "    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_135.json'\n",
+    "filename = 'data/result_2209.json'\n",
     "with open(filename,'w') as fl:\n",
     "    json.dump(re_ta, fl) \n",
     "print('ok')\n",
@@ -1120,6 +1135,78 @@
     "   "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "75affb71-e222-4002-83a5-6ff75258bf74",
+   "metadata": {},
+   "source": [
+    "## 比照人员两年成绩"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9e29dc46-9c2c-48b9-9847-4e9b535f99ac",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-09-20T23:15:17.498487Z",
+     "iopub.status.busy": "2022-09-20T23:15:17.497278Z",
+     "iopub.status.idle": "2022-09-20T23:15:21.393538Z",
+     "shell.execute_reply": "2022-09-20T23:15:21.390926Z",
+     "shell.execute_reply.started": "2022-09-20T23:15:17.498383Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "filename = 'data/安庆2021.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "list1 = dict1.keys()\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','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','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_2209.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl)\n",
+    "list4 = []\n",
+    "for k, v in dict2.items():\n",
+    "    if k in list1:\n",
+    "        #print(k)\n",
+    "        list2 = [k,v['name'],v['unit']]\n",
+    "        list3 = []\n",
+    "        for item in items:\n",
+    "            # 获取2022年成绩\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",
+    "            if item in dict1[k].keys():\n",
+    "                list3.append(dict1[k][item]['成绩']) \n",
+    "            #elif item =='name':\n",
+    "            #    list2.append(v[item])\n",
+    "            else:\n",
+    "                list3.append('')\n",
+    "        for cj in list3:\n",
+    "            list2.append(cj)            \n",
+    "        list4.append(list2)\n",
+    "filename = 'data/安庆石化成绩对照2209.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "sheet.append(title)\n",
+    "for row in list4:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)       \n",
+    "       \n",
+    "        "
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2c1c84a7-2ca3-4d1a-ba9c-11c813875d7c",