20220430
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@@ -13,7 +13,9 @@
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{
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"cell_type": "markdown",
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"id": "2a85feec-695b-4ea8-8093-91a59ed34c7f",
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"metadata": {},
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"metadata": {
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"toc-hr-collapsed": true
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},
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"source": [
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"## 体测单位信息导入"
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]
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@@ -386,26 +388,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"id": "bae91469-c894-468a-9bdd-b1aae367ea39",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-04-27T07:46:25.321260Z",
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"iopub.status.busy": "2022-04-27T07:46:25.319843Z",
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"iopub.status.idle": "2022-04-27T07:46:30.328749Z",
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"shell.execute_reply": "2022-04-27T07:46:30.325499Z",
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"shell.execute_reply.started": "2022-04-27T07:46:25.320997Z"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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@@ -443,7 +429,9 @@
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{
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"cell_type": "markdown",
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"id": "bf42e8af-a506-4e60-a661-b4281e3fef54",
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"metadata": {},
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"metadata": {
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"toc-hr-collapsed": true
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},
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"source": [
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"## 录入体测信息"
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]
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@@ -627,7 +615,6 @@
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"cell_type": "markdown",
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"id": "edc06db7-9ae5-441a-8273-88ad598096ba",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
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@@ -918,7 +905,7 @@
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"user_id = 5\n",
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"place_id =122\n",
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"place_id =128\n",
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"#user = '包永'\n",
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"db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"ydyb\" )\n",
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"cursor = db.cursor()\n",
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@@ -947,12 +934,151 @@
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" \n",
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" #re_ta[user] = dict1\n",
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" #print(re_ta)\n",
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"filename = 'data/result_jn.json'\n",
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"filename = 'data/result_cl.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl,ensure_ascii=False) \n",
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"print('ok')\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "95df2637-7898-4446-bb8a-70d881bd9e44",
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"metadata": {},
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"source": [
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"## 根据excel表转换测试成绩"
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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": "5d214e99-b3eb-4079-97b5-a9da12b06e89",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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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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"\n",
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"filename = 'item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"\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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"for v in dict1.values():\n",
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" #item[k] = v\n",
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" item[v['name']] = v['divisor']\n",
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" #print(v['divisor'])\n",
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"\n",
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"filename = 'data/长岭全成绩.xlsx'\n",
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"wb = openpyxl.load_workbook(filename)\n",
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"sheet = wb.active\n",
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"\n",
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"dict1 = {}\n",
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"for n in range(2, sheet.max_row+1):\n",
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" bh = sheet.cell(n, 1).value\n",
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" #print(bh)\n",
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" dict1.setdefault(bh, {})\n",
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" dict2 = {}\n",
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" dict1[bh]['bm'] = sheet.cell(n, 2).value\n",
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" dict1[bh]['name'] = sheet.cell(n, 3).value\n",
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" #dict2 = {}\n",
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" m_xm = sheet.cell(n, 4).value\n",
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" list1 = []\n",
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" \n",
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" list1.append(sheet.cell(n, 5).value/ item[sheet.cell(n, 4).value]) \n",
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" list1.append(sheet.cell(n, 6).value)\n",
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" dict1[bh][m_xm] = list1\n",
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"wb.close()\n",
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"filename = 'data/result_cl.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')\n",
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"\n"
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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": 80,
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"id": "a7cf5e57-a381-4911-96ff-1e1469b6f9bc",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-04-30T13:33:40.348110Z",
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"iopub.status.busy": "2022-04-30T13:33:40.346875Z",
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"iopub.status.idle": "2022-04-30T13:33:44.806237Z",
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"shell.execute_reply": "2022-04-30T13:33:44.804223Z",
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"shell.execute_reply.started": "2022-04-30T13:33:40.347998Z"
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},
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"tags": []
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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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"filename = 'data/result_cl.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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"list1 = []\n",
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"for item in dict1.values():\n",
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" for k in item.keys():\n",
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" list1.append(k)\n",
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"list2 = set(list1)\n",
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"list2.remove('name')\n",
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"list2.remove('bm')\n",
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"list2.remove('身高')\n",
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"list2.remove('体重')\n",
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"#print(list2)\n",
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"\n",
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"col = {}\n",
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"col1 = {}\n",
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"\n",
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"s ='GHIJKLMNOPQRSTUVWXYZ'\n",
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"n = 0\n",
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"for item in list2:\n",
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" col[item] = s[n]\n",
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" col1[item] = s[n+1]\n",
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" n += 2\n",
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"#print(col)\n",
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"filename = 'data/长岭体检人员得分情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet['A1'] = '测试编号'\n",
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"sheet['B1'] = '部门名称'\n",
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"sheet['C1'] = '姓名'\n",
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"sheet['D1'] = '身高'\n",
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"sheet['E1'] = '体重'\n",
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"sheet['F1'] = 'BMI'\n",
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"for k, v in col.items():\n",
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" sheet[f'{v}1'] = k\n",
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" #sheet[f'{v[1]}1'] = '得分'\n",
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"n = 2\n",
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"for k,v in dict1.items():\n",
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" #sheet[f'A{n}'] = n-1 \n",
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" #print(k,v)\n",
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" sheet[f'A{n}'] = k\n",
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" sheet[f'B{n}'] = v['bm']\n",
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" sheet[f'C{n}'] = v['name']\n",
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" if '身高' in v.keys():\n",
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" sheet[f'D{n}'] = v['身高'][0]\n",
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" if '体重' in v.keys():\n",
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" sheet[f'E{n}'] = v['体重'][0]\n",
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" sheet[f'F{n}'] = v['体重'][1]\n",
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" for xm in col.keys():\n",
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" if xm in v.keys():\n",
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" #print(v[xm][0])\n",
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" #print(v[xm][1])\n",
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" sheet[f'{col[xm]}{n}'] = v[xm][0] \n",
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" sheet[f'{col1[xm]}{n}'] = v[xm][1]\n",
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" n += 1 \n",
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"\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": "markdown",
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"id": "43cc57b0-aebc-4315-b48f-9268e754bebb",
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