20240506
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512song committed
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commit
fcaecfd995
2 files changed
+169
-45
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+155
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@@ -1293,10 +1293,164 @@
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" print(item)"
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" print(item)"
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]
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]
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},
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},
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{
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"cell_type": "markdown",
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"id": "3be7547a-f705-46cc-94e1-37c83ee04d86",
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"metadata": {},
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"source": [
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"## 生成体测成绩表"
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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": 6,
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"id": "f671a493-88a7-4594-98d7-bd3d0a091bee",
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"metadata": {
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"execution": {
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||||||
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"iopub.execute_input": "2024-04-30T03:36:18.290034Z",
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||||||
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"iopub.status.busy": "2024-04-30T03:36:18.289557Z",
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||||||
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"iopub.status.idle": "2024-04-30T03:36:18.352150Z",
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||||||
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"shell.execute_reply": "2024-04-30T03:36:18.350627Z",
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"shell.execute_reply.started": "2024-04-30T03:36:18.289994Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"ename": "KeyError",
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"evalue": "'sex'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[6], line 17\u001b[0m\n\u001b[1;32m 15\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mstr\u001b[39m(k)\u001b[38;5;241m.\u001b[39mrjust(\u001b[38;5;241m5\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m0\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[1;32m 16\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(dict1[k][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m'\u001b[39m]) \n\u001b[0;32m---> 17\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(\u001b[43mdict1\u001b[49m\u001b[43m[\u001b[49m\u001b[43mk\u001b[49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msex\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[1;32m 18\u001b[0m list2\u001b[38;5;241m.\u001b[39mappend(dict1[k][\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m部门\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m 19\u001b[0m i \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n",
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"\u001b[0;31mKeyError\u001b[0m: 'sex'"
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]
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}
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],
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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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"items = ['身高','体重','肺活量','握力','纵跳','坐位体前屈','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
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"bmi = ['height','weight']\n",
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"title = ['编号','姓名','性别','单位/部门','身高','','体重','','肺活量','','握力','','纵跳','','坐位体前屈','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数','']\n",
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"\n",
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"filename = 'data/result_杨庙2308.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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"\n",
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"list1 = []\n",
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"for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(dict1[k]['name']) \n",
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" list2.append(dict1[k]['sex'])\n",
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" list2.append(dict1[k]['部门'])\n",
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" i = 0\n",
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" \n",
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" for item in items:\n",
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" if item in dict1[k].keys():\n",
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" list2.append(dict1[k][item]['成绩'])\n",
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" list2.append(dict1[k][item]['得分']) \n",
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" i+=1\n",
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" elif item =='name':\n",
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" list2.append(dict1[k][item])\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('')\n",
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" list1.append(list2)\n",
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"filename = 'data/杨庙202303体测明细表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)\n",
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"print('ok') "
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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": 9,
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"id": "ffce0b6c-5fcd-40b5-a118-6ae2ce9ec464",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-04-30T03:52:18.063321Z",
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"iopub.status.busy": "2024-04-30T03:52:18.062912Z",
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"iopub.status.idle": "2024-04-30T03:52:18.197236Z",
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"shell.execute_reply": "2024-04-30T03:52:18.196723Z",
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"shell.execute_reply.started": "2024-04-30T03:52:18.063266Z"
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},
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"tags": []
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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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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
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"bmi = ['height','weight']\n",
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"title = ['编号','姓名','性别','单位/部门','身高','体重','bmi','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",
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"\n",
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"filename = 'data/result_杨庙2308.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 k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n",
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" list2 = []\n",
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" list2.append(str(k).rjust(5,'0'))\n",
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" list2.append(dict1[k]['name']) \n",
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" list2.append(dict1[k]['gender'])\n",
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" list2.append(dict1[k]['title'])\n",
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" i = 0\n",
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" if 'bmi' in v['fit'].keys():\n",
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" m_bmi = v['fit']['bmi']['mark']\n",
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" list2.append(m_bmi.split(',')[0])\n",
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" list2.append(m_bmi.split(',')[1])\n",
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" list2.append(v['fit']['bmi']['score'])\n",
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" i+=1\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" list2.append('') \n",
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" \n",
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" \n",
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" for item in items:\n",
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" if item in v['fit'].keys():\n",
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" list2.append(v['fit'][item]['mark'])\n",
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" list2.append(v['fit'][item]['score']) \n",
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" i+=1\n",
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" \n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" \n",
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" list1.append(list2)\n",
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"filename = 'data/杨庙202308体测明细表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)\n",
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"print('ok') "
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]
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"id": "22e1e0cf-5620-47d4-8034-03149fcd0b00",
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"id": "34876192-a7d3-454d-a929-53e3b6bfbeae",
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": []
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"source": []
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+14
-44
@@ -120,15 +120,15 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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||||||
"execution_count": 9,
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"execution_count": 1,
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||||||
"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"metadata": {
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||||||
"execution": {
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"execution": {
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||||||
"iopub.execute_input": "2023-11-26T12:31:39.094899Z",
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"iopub.execute_input": "2024-05-06T04:04:00.891103Z",
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"iopub.status.busy": "2023-11-26T12:31:39.094370Z",
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"iopub.status.busy": "2024-05-06T04:04:00.890635Z",
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"iopub.status.idle": "2023-11-26T12:31:39.114981Z",
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"iopub.status.idle": "2024-05-06T04:04:00.919838Z",
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"shell.execute_reply": "2023-11-26T12:31:39.114071Z",
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"shell.execute_reply": "2024-05-06T04:04:00.918845Z",
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"shell.execute_reply.started": "2023-11-26T12:31:39.094860Z"
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"shell.execute_reply.started": "2024-05-06T04:04:00.891065Z"
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},
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},
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"tags": []
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"tags": []
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},
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},
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@@ -137,8 +137,8 @@
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"name": "stdout",
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"name": "stdout",
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"output_type": "stream",
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"output_type": "stream",
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"text": [
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"text": [
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"16\n",
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"41\n",
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"16\n"
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"41\n"
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]
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]
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}
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}
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],
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],
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@@ -157,11 +157,11 @@
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"re_ta = {}\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"list1 = []\n",
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"filename = 'data/北京党校.json'\n",
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"filename = 'data/青海.json'\n",
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"with open(filename,'r') as fl:\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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" dict1 = json.load(fl) \n",
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"\n",
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"\n",
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"filename = 'data/places_result_20231126.csv'\n",
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"filename = 'data/places_result_20240311.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" header = next(fl) \n",
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@@ -182,7 +182,7 @@
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_北京党校20231126.json'\n",
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"filename = 'data/result_青海20240311.json'\n",
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"\n",
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"\n",
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"with open(filename,'w') as fl:\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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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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@@ -212,11 +212,11 @@
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"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",
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"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",
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"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",
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"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",
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"\n",
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"\n",
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"filename = 'data/result_北京党校.json'\n",
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"filename = 'data/result_青海20240311.json'\n",
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"with open(filename,'r') as fl:\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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" dict1 = json.load(fl)\n",
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"\n",
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"\n",
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"filename = 'data/北京党校.json'\n",
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"filename = 'data/青海.json'\n",
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"with open(filename,'r') as fl:\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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" dict2 = json.load(fl)\n",
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" \n",
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" \n",
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@@ -235,7 +235,7 @@
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" else:\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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" list1.append(list2)\n",
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"filename = 'data/北京党校.xlsx'\n",
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"filename = 'data/青海20240311.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"sheet.append(title)\n",
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@@ -253,36 +253,6 @@
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"## 手工数据导入数据库"
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"## 手工数据导入数据库"
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]
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]
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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": "def3f47a-24ef-4815-b63b-2a16b79b4c15",
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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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"filename = 'data/北京党校.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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"wb = openpyxl.load_workbook('data/北京党校手工数据.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"dict1 = {}\n",
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"dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}\n",
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|
||||||
"sheet = wb.active\n",
|
|
||||||
"data1 =list(sheet.values)\n",
|
|
||||||
"del data1[0]\n",
|
|
||||||
"list1 = []\n",
|
|
||||||
"for item in data1:\n",
|
|
||||||
" code = int(item[0])\n",
|
|
||||||
" list1.append((496534,code,item[2],item[1],'2023-10-15','2023-10-15 14:00:00'))\n",
|
|
||||||
"print(list1)"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
|
|||||||
Reference in new issue
Block a user