20251021

体测单位/南京化工.ipynb

@@ -10,33 +10,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "bbba6efc-73cd-4db6-bae7-014724fee731",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-21T02:05:09.966940Z",
+     "iopub.status.busy": "2025-10-21T02:05:09.966195Z",
+     "iopub.status.idle": "2025-10-21T02:05:10.249499Z",
+     "shell.execute_reply": "2025-10-21T02:05:10.248277Z",
+     "shell.execute_reply.started": "2025-10-21T02:05:09.966870Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "270 ok\n"
+     ]
+    }
+   ],
    "source": [
     "import openpyxl\n",
     "import json\n",
     "\n",
     "\n",
-    "wb = openpyxl.load_workbook('data/南化人员信息表.xlsx',data_only=True)\n",
+    "wb = openpyxl.load_workbook('data/胜利采油厂人员名单.xlsx',data_only=True)\n",
     "sheet = wb.active\n",
     "# sheets = wb.sheetnames\n",
     "person = {}\n",
     "\n",
     "for n in range(2, sheet.max_row+1):\n",
-    "    code = int(sheet.cell(n, 4).value)\n",
+    "    code = int(sheet.cell(n, 2).value)\n",
     "    person.setdefault(code, {})\n",
     "    dict1 = {}\n",
-    "    dict1['name'] = sheet.cell(n, 3).value\n",
+    "    dict1['name'] = sheet.cell(n, 4).value\n",
     "    dict1['sex'] = sheet.cell(n, 5).value\n",
-    "    dict1['unit'] = sheet.cell(n, 2).value    \n",
+    "    dict1['unit'] = sheet.cell(n, 3).value    \n",
     "    dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0]\n",
-    "    dict1['phone'] = sheet.cell(n, 12).value \n",
+    "    #dict1['phone'] = sheet.cell(n, 12).value \n",
     "    person[code] = dict1\n",
-    "filename = 'data/南京化工人员.json'\n",
+    "filename = 'data/胜利采油厂人员.json'\n",
     "with open(filename, 'w') as fl:\n",
     "    json.dump(person, fl, ensure_ascii=False)\n",
     "print(len(person),'ok')"
@@ -52,16 +67,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "ce406710-6b7d-4c51-98ec-78883bd3ce5f",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2025-10-21T02:05:49.362922Z",
+     "iopub.status.busy": "2025-10-21T02:05:49.362143Z",
+     "iopub.status.idle": "2025-10-21T02:05:49.376741Z",
+     "shell.execute_reply": "2025-10-21T02:05:49.375761Z",
+     "shell.execute_reply.started": "2025-10-21T02:05:49.362862Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
    "source": [
     "import json\n",
     "\n",
-    "filename = 'data/南京化工人员.json'\n",
+    "filename = 'data/胜利采油厂人员.json'\n",
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl)\n",
     "list1 = []\n",
@@ -75,7 +105,7 @@
     "json_data = json.dumps(list1,ensure_ascii=False, indent=4)  \n",
     "\n",
     "# 将 json 数据写入文件\n",
-    "with open(\"data/data_南京化工人员.json\", \"w\",encoding = 'utf-8') as file:\n",
+    "with open(\"data/data_胜利采油厂人员.json\", \"w\",encoding = 'utf-8') as file:\n",
     "    file.write(json_data)   \n",
     "print('ok')"
    ]