20230506
This commit is contained in:
512song committed
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8 files changed
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+136
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@@ -72,15 +72,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 10,
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"id": "d0cb294b-d403-4c4c-9de6-61ec98cf9797",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-15T14:31:21.405573Z",
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"iopub.status.busy": "2023-04-15T14:31:21.404701Z",
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"iopub.status.idle": "2023-04-15T14:31:21.431005Z",
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"shell.execute_reply": "2023-04-15T14:31:21.429944Z",
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"shell.execute_reply.started": "2023-04-15T14:31:21.405535Z"
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"iopub.execute_input": "2023-05-05T06:41:07.266525Z",
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"iopub.status.busy": "2023-05-05T06:41:07.266100Z",
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"iopub.status.idle": "2023-05-05T06:41:07.287905Z",
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"shell.execute_reply": "2023-05-05T06:41:07.286990Z",
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"shell.execute_reply.started": "2023-05-05T06:41:07.266497Z"
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},
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"tags": []
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},
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@@ -121,36 +121,44 @@
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[4])\n",
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" user = str(result[2])\n",
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" if user in dict1.keys():\n",
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" \n",
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" m_item = str(result[0]) \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" re_ta[user]['unit'] = dict1[user]['unit'] \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[1])/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]['得分'] =result[2]\n",
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"filename = 'data/result_上地派出所.json'\n",
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" re_ta[user][item_name]['得分'] =result[5]\n",
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"filename = 'data/result_上地派出所1.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl) \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": "markdown",
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"id": "ac363a21-83aa-42e5-a82b-fd051e4b86a7",
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"metadata": {},
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"source": [
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"## 计算测试成绩平均分"
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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": "78e461ac-1074-4bce-a2a5-4cd60f3b7ae2",
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"execution_count": 19,
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"id": "4f5a8416-3536-4c52-bfdc-758420e519d3",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-15T14:36:06.348606Z",
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"iopub.status.busy": "2023-04-15T14:36:06.348205Z",
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"iopub.status.idle": "2023-04-15T14:36:06.363398Z",
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"shell.execute_reply": "2023-04-15T14:36:06.362284Z",
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"shell.execute_reply.started": "2023-04-15T14:36:06.348579Z"
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"iopub.execute_input": "2023-05-05T07:17:09.764428Z",
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"iopub.status.busy": "2023-05-05T07:17:09.763611Z",
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"iopub.status.idle": "2023-05-05T07:17:09.782569Z",
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"shell.execute_reply": "2023-05-05T07:17:09.781678Z",
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"shell.execute_reply.started": "2023-05-05T07:17:09.764387Z"
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},
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"tags": []
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},
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@@ -159,52 +167,37 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"44\n"
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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 time\n",
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"import csv\n",
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"import openpyxl\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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"items = ['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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"filename = 'data/result_上地派出所1.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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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"filename = 'data/上地派出所人员名单.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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"re_ta = {}\n",
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"dict2 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/142.csv'\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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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[4])\n",
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" if user in dict1.keys():\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"for k, v in dict1.items():\n",
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" i = 0\n",
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" score = 0\n",
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" for k1, v1 in v.items():\n",
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" \n",
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" m_item = str(result[0]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" re_ta[user]['unit'] = dict1[user]['unit'] \n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[1])/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]['得分'] =result[2]\n",
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"print(len(re_ta))"
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" if k1 in items:\n",
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" score = score + int(v1['得分'])\n",
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" i = i + 1\n",
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" pjf = score / i\n",
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" dict1[k]['总分'] = score\n",
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" dict1[k]['平均分'] = round(score / i,2)\n",
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"filename = 'data/result_上地派出所.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict1, fl) \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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{
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@@ -217,15 +210,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 22,
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"id": "eafc36e7-6a8d-4744-b5ff-9cc0c624c732",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-15T14:33:22.621334Z",
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"iopub.status.busy": "2023-04-15T14:33:22.620509Z",
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"iopub.status.idle": "2023-04-15T14:33:22.666051Z",
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"shell.execute_reply": "2023-04-15T14:33:22.665054Z",
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"shell.execute_reply.started": "2023-04-15T14:33:22.621295Z"
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"iopub.execute_input": "2023-05-05T07:19:08.537806Z",
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"iopub.status.busy": "2023-05-05T07:19:08.536964Z",
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"iopub.status.idle": "2023-05-05T07:19:08.596852Z",
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"shell.execute_reply": "2023-05-05T07:19:08.595844Z",
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"shell.execute_reply.started": "2023-05-05T07:19:08.537767Z"
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},
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"tags": []
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},
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@@ -235,7 +228,7 @@
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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','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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"filename = 'data/result_上地派出所.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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@@ -248,17 +241,20 @@
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"for k, v in dict1.items():\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(v['name']) \n",
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" list2.append(dict2[k]['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" list2.append(dict2[k]['unit']) \n",
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" \n",
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" list2.append(dict2[k]['unit'])\n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \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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" elif item =='name':\n",
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" list2.append(v[item])\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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" list2.append(dict1[k]['总分'])\n",
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" list2.append(dict1[k]['平均分'])\n",
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" list1.append(list2)\n",
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"filename = 'data/上地派出所体测情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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@@ -270,10 +266,80 @@
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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": "c6ef75ff-0aa5-422d-a21c-98e2ebe89672",
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"metadata": {},
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"source": [
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"## 统计项目平均分"
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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": 39,
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"id": "228b4f0c-deac-41e7-a995-e6d3ea4a0cdf",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-05T08:40:23.243572Z",
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"iopub.status.busy": "2023-05-05T08:40:23.242724Z",
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"iopub.status.idle": "2023-05-05T08:40:23.257387Z",
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"shell.execute_reply": "2023-05-05T08:40:23.256275Z",
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"shell.execute_reply.started": "2023-05-05T08:40:23.243532Z"
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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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"体重 3.18\n",
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"肺活量 3.75\n",
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"握力 2.23\n",
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"坐位体前屈 2.79\n",
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"纵跳 2.72\n",
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"俯卧撑 3.24\n",
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"一分钟仰卧起坐 3.83\n",
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"单脚站立 1.77\n",
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"选择反应时 3.73\n",
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"台阶指数 2.52\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 = ['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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"filename = 'data/result_上地派出所.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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"filename = 'data/上地派出所人员名单.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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" \n",
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"list1 = []\n",
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"\n",
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"for item in items:\n",
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" i = 0\n",
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" score = 0\n",
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" for k, v in dict1.items():\n",
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" if item in v.keys():\n",
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" score = int(v[item]['得分']) + score \n",
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" i = i + 1\n",
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" \n",
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" \n",
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" print(item,round(score/i,2)) \n",
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" \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": null,
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"id": "6f7c8be9-8910-4570-bc09-45f464c77ce9",
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"id": "fc3c36c2-4697-4709-b755-ec6ade9451bd",
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"metadata": {},
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"outputs": [],
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"source": []
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Reference in new issue
Block a user