20241205
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@@ -636,6 +636,7 @@
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"cell_type": "markdown",
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"id": "c103301b-d540-4bf5-861a-0eb2e313e26e",
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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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@@ -2182,10 +2183,26 @@
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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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"execution_count": 31,
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"id": "e1a1b329-acf1-4be9-bcf0-736dbe7f8e0b",
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"metadata": {},
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"outputs": [],
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-12-04T14:53:01.181252Z",
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"iopub.status.busy": "2024-12-04T14:53:01.180490Z",
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"iopub.status.idle": "2024-12-04T14:53:01.243823Z",
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"shell.execute_reply": "2024-12-04T14:53:01.243252Z",
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"shell.execute_reply.started": "2024-12-04T14:53:01.181166Z"
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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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"739\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 datetime\n",
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@@ -2313,10 +2330,26 @@
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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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"execution_count": 32,
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"id": "dd89efe8-13b9-4db8-8c39-2a48888dd635",
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"metadata": {},
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"outputs": [],
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-12-04T14:53:17.474923Z",
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"iopub.status.busy": "2024-12-04T14:53:17.474146Z",
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"iopub.status.idle": "2024-12-04T14:53:18.915899Z",
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"shell.execute_reply": "2024-12-04T14:53:18.915258Z",
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"shell.execute_reply.started": "2024-12-04T14:53:17.474853Z"
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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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"source": [
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"import json\n",
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"import time\n",
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@@ -2524,10 +2557,106 @@
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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": "16bf831a-e725-47d4-87bb-0103ae55f8a6",
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"metadata": {},
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"source": [
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"## 清理报告数据"
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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": 34,
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"id": "6d8a345d-39e0-40cd-9bed-ac4e144b426c",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-12-04T15:01:40.945578Z",
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"iopub.status.busy": "2024-12-04T15:01:40.944820Z",
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"iopub.status.idle": "2024-12-04T15:01:40.998222Z",
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"shell.execute_reply": "2024-12-04T15:01:40.997687Z",
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"shell.execute_reply.started": "2024-12-04T15:01:40.945506Z"
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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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"738\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 openpyxl\n",
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"\n",
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"\n",
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"filename = 'data/result_北海炼化2024.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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" \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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"items = {}\n",
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"items['lung'] = '肺活量'\n",
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"items['grip'] ='握力'\n",
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"items['flexion'] ='坐位体前屈'\n",
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"items['jump'] ='纵跳'\n",
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"items['pushup'] ='俯卧撑'\n",
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"items['balance'] ='单脚站立'\n",
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"items['reaction'] ='选择反应时'\n",
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"items['step'] ='台阶指数'\n",
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"items['situp'] ='一分钟仰卧起坐'\n",
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"items['bmi'] ='BMI'\n",
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"\n",
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"\n",
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"list1 = []\n",
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"\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=1\n",
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"list2 = []\n",
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"dict2 = {}\n",
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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(5,\"0\")\n",
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" mydata['unit'] = v['unit']\n",
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" mydata['name'] = v['name']\n",
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" mydata['sex'] = v['sex']\n",
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" mydata['month'] = v['month']\n",
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" age = int(v['month']/12)\n",
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" if age <20:\n",
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" mydata['age'] = 20\n",
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" else:\n",
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" mydata['age'] = int(v['month']/12)\n",
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" \n",
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" mydata['fits'] = {}\n",
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" score = 0\n",
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" for item in list_item:\n",
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" if item in v.keys():\n",
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" if item in ['lung','pushup','step','situp']:\n",
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" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
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" else:\n",
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" mark = v[item]['成绩'].split()[0]\n",
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" mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n",
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" score = score + v[item]['score']\n",
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" mydata['score'] = round(score/len(mydata['fits']),2)\n",
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" if len(mydata['fits']) >2:\n",
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" dict2[str(k)] = mydata\n",
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"filename = f'data/data_北海炼化2024.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,fl , ensure_ascii=False) \n",
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"print(len(dict2))\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": null,
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"id": "a2cce583-323d-4631-a9bd-39052d3cccbf",
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"id": "6cba8d5e-92fd-4afd-94d2-0dcf42e2e22e",
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"metadata": {},
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"outputs": [],
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"source": []
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