20231010
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@@ -1505,15 +1505,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 118,
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"execution_count": 123,
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"id": "25283932-c03a-4a34-a59d-314fc64d8fbd",
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"metadata": {
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@@ -1600,15 +1600,15 @@
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},
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"cell_type": "code",
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"execution_count": 119,
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"execution_count": 126,
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"id": "e26b88fc-c75b-4c1e-82ea-5017370afa9b",
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"metadata": {
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"iopub.execute_input": "2023-10-08T09:26:17.879551Z",
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@@ -1617,8 +1617,8 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"3410\n",
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"3410\n"
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"3734\n",
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"3734\n"
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]
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}
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],
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@@ -1641,7 +1641,7 @@
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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_20231008.csv'\n",
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"filename = 'data/places_result_20231009.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 +1680,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 120,
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"execution_count": 127,
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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": "2023-10-08T09:26:29.234975Z",
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"iopub.execute_input": "2023-10-09T10:24:01.741956Z",
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},
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"tags": []
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},
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@@ -1724,7 +1724,7 @@
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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20231008）.xlsx'\n",
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"filename = 'data/天津石化体测情况（截至20231009）.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 +1744,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 117,
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"execution_count": 128,
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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": "2023-10-08T09:22:04.167779Z",
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"iopub.status.busy": "2023-10-08T09:22:04.167511Z",
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"shell.execute_reply.started": "2023-10-08T09:22:04.167759Z"
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"iopub.execute_input": "2023-10-09T10:24:24.064948Z",
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"shell.execute_reply": "2023-10-09T10:24:24.153633Z",
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"shell.execute_reply.started": "2023-10-09T10:24:24.064934Z"
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},
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"tags": []
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},
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@@ -1789,7 +1789,7 @@
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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20231008）.xlsx'\n",
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"filename = 'data/天津部门未测试情况（截至20231009）.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 +1864,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 121,
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"execution_count": 129,
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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": "2023-10-08T10:04:34.305324Z",
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"shell.execute_reply.started": "2023-10-09T10:24:59.225236Z"
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},
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"tags": []
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},
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@@ -1881,26 +1881,26 @@
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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20231008）生产成功！\n",
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"研究院未测试人员名单（截至20231008）生产成功！\n",
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"原油储运部未测试人员名单（截至20231008）生产成功！\n",
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"烯烃部未测试人员名单（截至20231008）生产成功！\n",
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"化验计量部未测试人员名单（截至20231008）生产成功！\n",
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"水务部未测试人员名单（截至20231008）生产成功！\n",
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"消防支队未测试人员名单（截至20231008）生产成功！\n",
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"公司机关未测试人员名单（截至20231008）生产成功！\n",
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"聚醚部未测试人员名单（截至20231008）生产成功！\n",
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"装备研究院未测试人员名单（截至20231008）生产成功！\n",
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"电仪部未测试人员名单（截至20231008）生产成功！\n",
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"行政事务中心未测试人员名单（截至20231008）生产成功！\n",
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"运输销售部未测试人员名单（截至20231008）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20231008）生产成功！\n",
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"热电部未测试人员名单（截至20231008）生产成功！\n",
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"化工部未测试人员名单（截至20231008）生产成功！\n",
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"南港烯烃部未测试人员名单（截至20231008）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20231008）生产成功！\n",
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"物资采购中心未测试人员名单（截至20231008）生产成功！\n",
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"炼油部未测试人员名单（截至20231008）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20231009）生产成功！\n",
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"研究院未测试人员名单（截至20231009）生产成功！\n",
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"原油储运部未测试人员名单（截至20231009）生产成功！\n",
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"烯烃部未测试人员名单（截至20231009）生产成功！\n",
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"化验计量部未测试人员名单（截至20231009）生产成功！\n",
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"水务部未测试人员名单（截至20231009）生产成功！\n",
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"消防支队未测试人员名单（截至20231009）生产成功！\n",
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"公司机关未测试人员名单（截至20231009）生产成功！\n",
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"聚醚部未测试人员名单（截至20231009）生产成功！\n",
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"装备研究院未测试人员名单（截至20231009）生产成功！\n",
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"电仪部未测试人员名单（截至20231009）生产成功！\n",
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"行政事务中心未测试人员名单（截至20231009）生产成功！\n",
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"运输销售部未测试人员名单（截至20231009）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20231009）生产成功！\n",
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"热电部未测试人员名单（截至20231009）生产成功！\n",
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"化工部未测试人员名单（截至20231009）生产成功！\n",
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"南港烯烃部未测试人员名单（截至20231009）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20231009）生产成功！\n",
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"物资采购中心未测试人员名单（截至20231009）生产成功！\n",
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"炼油部未测试人员名单（截至20231009）生产成功！\n"
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]
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}
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],
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@@ -1914,7 +1914,7 @@
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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 = '20231008'\n",
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"rq = '20231009'\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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