20231014
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@@ -1490,7 +1490,9 @@
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{
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"cell_type": "markdown",
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"id": "73524e7f-4262-46d3-a733-74ac18e43855",
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"source": [
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"# 第二次体测"
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]
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@@ -1505,15 +1507,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 158,
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"metadata": {
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"tags": []
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},
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@@ -1600,15 +1602,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 154,
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"execution_count": 160,
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"id": "e26b88fc-c75b-4c1e-82ea-5017370afa9b",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-12T09:47:26.616860Z",
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},
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"tags": []
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},
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@@ -1617,8 +1619,8 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"5031\n",
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"5031\n"
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"5395\n",
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"5395\n"
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]
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}
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],
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@@ -1641,7 +1643,7 @@
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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/places_result_20231012.csv'\n",
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"filename = 'data/places_result_20231013.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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@@ -1680,15 +1682,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 155,
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"execution_count": 161,
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"id": "0a6ea33d-c112-4ed8-9366-3376e55a5731",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-12T09:47:55.693173Z",
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"iopub.execute_input": "2023-10-13T10:46:56.465928Z",
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},
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"tags": []
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},
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@@ -1724,7 +1726,7 @@
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" else:\n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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"filename = 'data/天津石化体测情况（截至20231012）.xlsx'\n",
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"filename = 'data/天津石化体测情况（截至20231013）.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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@@ -1744,15 +1746,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 156,
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"execution_count": 162,
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"id": "589a5d44-605d-41a1-a981-7ec7258305ed",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-12T09:48:08.825642Z",
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"shell.execute_reply.started": "2023-10-12T09:48:08.825606Z"
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"iopub.execute_input": "2023-10-13T10:47:08.088774Z",
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"shell.execute_reply": "2023-10-13T10:47:08.184845Z",
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"shell.execute_reply.started": "2023-10-13T10:47:08.088760Z"
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},
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"tags": []
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},
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@@ -1789,7 +1791,7 @@
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" list2 = [k,v['人数']]\n",
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" list1.append(list2)\n",
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"\n",
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"filename = 'data/天津部门未测试情况（截至20231012）.xlsx'\n",
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"filename = 'data/天津部门未测试情况（截至20231013）.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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@@ -1864,15 +1866,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 157,
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"execution_count": 163,
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"id": "e47c361d-a047-4932-b24e-fdcf65cb8a73",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-12T09:48:14.887948Z",
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"iopub.execute_input": "2023-10-13T10:47:27.530948Z",
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},
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"tags": []
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},
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@@ -1881,26 +1883,26 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"党委党校（培训中心）未测试人员名单（截至20231011）生产成功！\n",
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"研究院未测试人员名单（截至20231011）生产成功！\n",
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"原油储运部未测试人员名单（截至20231011）生产成功！\n",
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"烯烃部未测试人员名单（截至20231011）生产成功！\n",
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"化验计量部未测试人员名单（截至20231011）生产成功！\n",
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"水务部未测试人员名单（截至20231011）生产成功！\n",
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"消防支队未测试人员名单（截至20231011）生产成功！\n",
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"公司机关未测试人员名单（截至20231011）生产成功！\n",
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"聚醚部未测试人员名单（截至20231011）生产成功！\n",
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"装备研究院未测试人员名单（截至20231011）生产成功！\n",
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"电仪部未测试人员名单（截至20231011）生产成功！\n",
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"行政事务中心未测试人员名单（截至20231011）生产成功！\n",
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"运输销售部未测试人员名单（截至20231011）生产成功！\n",
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"南港乙烯项目管理部未测试人员名单（截至20231011）生产成功！\n",
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"热电部未测试人员名单（截至20231011）生产成功！\n",
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"化工部未测试人员名单（截至20231011）生产成功！\n",
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"南港烯烃部未测试人员名单（截至20231011）生产成功！\n",
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"信息档案管理中心未测试人员名单（截至20231011）生产成功！\n",
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"物资采购中心未测试人员名单（截至20231011）生产成功！\n",
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"炼油部未测试人员名单（截至20231011）生产成功！\n"
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"党委党校（培训中心）未测试人员名单（截至20231013）生产成功！\n",
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"研究院未测试人员名单（截至20231013）生产成功！\n",
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"原油储运部未测试人员名单（截至20231013）生产成功！\n",
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"烯烃部未测试人员名单（截至20231013）生产成功！\n",
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"化验计量部未测试人员名单（截至20231013）生产成功！\n",
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"水务部未测试人员名单（截至20231013）生产成功！\n",
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"消防支队未测试人员名单（截至20231013）生产成功！\n",
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"公司机关未测试人员名单（截至20231013）生产成功！\n",
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"装备研究院未测试人员名单（截至20231013）生产成功！\n",
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"聚醚部未测试人员名单（截至20231013）生产成功！\n",
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"电仪部未测试人员名单（截至20231013）生产成功！\n",
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"运输销售部未测试人员名单（截至20231013）生产成功！\n",
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"行政事务中心未测试人员名单（截至20231013）生产成功！\n",
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"南港乙烯项目管理部未测试人员名单（截至20231013）生产成功！\n",
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"热电部未测试人员名单（截至20231013）生产成功！\n",
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"化工部未测试人员名单（截至20231013）生产成功！\n",
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"南港烯烃部未测试人员名单（截至20231013）生产成功！\n",
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"信息档案管理中心未测试人员名单（截至20231013）生产成功！\n",
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"物资采购中心未测试人员名单（截至20231013）生产成功！\n",
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"炼油部未测试人员名单（截至20231013）生产成功！\n"
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]
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}
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],
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@@ -1914,7 +1916,7 @@
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"unit = set()\n",
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"for k, v in dict1.items():\n",
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" unit.add(v['unit'])\n",
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"rq = '20231011'\n",
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"rq = '20231013'\n",
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"filename = 'data/天津石化人员名单2023.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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