20230514
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@@ -10,15 +10,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 19,
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"id": "3154fc8c-0e91-4cda-ba75-666dc7bbb34d",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-08T07:53:19.491869Z",
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},
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"tags": []
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},
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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": 16,
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"execution_count": 4,
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"id": "4b52477e-926a-44b5-b8a0-20bff98d101d",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-05T13:53:58.994696Z",
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"shell.execute_reply": "2023-05-05T13:53:59.019005Z",
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"shell.execute_reply.started": "2023-05-05T13:53:58.994649Z"
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"iopub.execute_input": "2023-05-11T11:36:58.352138Z",
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"iopub.status.busy": "2023-05-11T11:36:58.351483Z",
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"shell.execute_reply": "2023-05-11T11:36:58.369617Z",
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"shell.execute_reply.started": "2023-05-11T11:36:58.352097Z"
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},
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"tags": []
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},
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@@ -89,8 +89,8 @@
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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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"44\n"
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"1\n",
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"1\n"
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]
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}
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],
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@@ -112,7 +112,7 @@
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"filename = 'data/长炼医院人员名单.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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"rq = '20230505'\n",
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"rq = '20230511'\n",
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"filename = f'data/places_result_{rq}-clyy.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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@@ -143,10 +143,29 @@
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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": 2,
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"id": "033cc564-4aa9-4e88-b38b-ec62a02b1661",
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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": "2023-05-10T12:20:49.147400Z",
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"iopub.status.busy": "2023-05-10T12:20:49.146531Z",
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"iopub.status.idle": "2023-05-10T12:20:49.171189Z",
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"shell.execute_reply": "2023-05-10T12:20:49.170148Z",
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"shell.execute_reply.started": "2023-05-10T12:20:49.147358Z"
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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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"2\n",
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"2\n",
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"12\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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@@ -162,11 +181,11 @@
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/燕山石化人员名单.json'\n",
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"filename = 'data/长炼医院人员名单.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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"rq = '20230505'\n",
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"filename = f'data/places_result_{rq}.csv'\n",
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"#rq = '20230510'\n",
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"filename = f'data/places_result_{rq}-clyy.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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@@ -219,15 +238,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 5,
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"id": "2ffa583b-be51-40a8-bb55-de6a89d1a54a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-05T13:54:34.525972Z",
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"iopub.status.busy": "2023-05-05T13:54:34.525125Z",
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"iopub.status.idle": "2023-05-05T13:54:34.570287Z",
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"shell.execute_reply": "2023-05-05T13:54:34.569407Z",
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"shell.execute_reply.started": "2023-05-05T13:54:34.525930Z"
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"iopub.execute_input": "2023-05-11T11:37:13.952681Z",
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"iopub.status.busy": "2023-05-11T11:37:13.951843Z",
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"iopub.status.idle": "2023-05-11T11:37:13.978022Z",
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"shell.execute_reply": "2023-05-11T11:37:13.977002Z",
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"shell.execute_reply.started": "2023-05-11T11:37:13.952640Z"
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},
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"tags": []
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},
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@@ -236,7 +255,7 @@
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"import json\n",
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"import openpyxl\n",
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"\n",
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"rq = '20230505'\n",
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"#rq = '20230510'\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','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 = f'data/result_长炼医院({rq}).json'\n",
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