202310077
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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": 91,
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"execution_count": 100,
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"id": "25283932-c03a-4a34-a59d-314fc64d8fbd",
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"metadata": {
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"execution": {
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"tags": []
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},
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@@ -1600,15 +1600,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 93,
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"execution_count": 103,
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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": "2023-09-28T08:15:07.879075Z",
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"tags": []
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},
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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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"2816\n",
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"2816\n"
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"3119\n",
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"3119\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_20230928.csv'\n",
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"filename = 'data/places_result_20231007.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": 94,
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"execution_count": 104,
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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": "2023-09-28T08:15:20.956628Z",
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"iopub.execute_input": "2023-10-07T13:39:31.514453Z",
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"shell.execute_reply.started": "2023-10-07T13:39:31.514423Z"
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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20230928).xlsx'\n",
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"filename = 'data/天津石化体测情况(截至20231007).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": 95,
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"execution_count": 105,
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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": "2023-09-28T08:16:59.146067Z",
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"iopub.status.busy": "2023-09-28T08:16:59.145853Z",
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"shell.execute_reply": "2023-09-28T08:16:59.182479Z",
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"shell.execute_reply.started": "2023-09-28T08:16:59.146053Z"
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"iopub.execute_input": "2023-10-07T13:39:52.275607Z",
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"iopub.status.busy": "2023-10-07T13:39:52.275395Z",
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"shell.execute_reply": "2023-10-07T13:39:52.313117Z",
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"shell.execute_reply.started": "2023-10-07T13:39:52.275592Z"
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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20230928).xlsx'\n",
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"filename = 'data/天津部门未测试情况(截至20231007).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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@@ -1809,15 +1809,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 98,
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"execution_count": 106,
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"id": "2f7c9847-f283-4a09-b385-2c7559be7c7e",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-09-28T08:18:55.583592Z",
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"iopub.status.busy": "2023-09-28T08:18:55.583111Z",
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"shell.execute_reply": "2023-09-28T08:18:55.647144Z",
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"shell.execute_reply.started": "2023-09-28T08:18:55.583543Z"
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"iopub.execute_input": "2023-10-07T13:40:03.467534Z",
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"iopub.status.busy": "2023-10-07T13:40:03.467035Z",
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"iopub.status.idle": "2023-10-07T13:40:03.543492Z",
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"shell.execute_reply": "2023-10-07T13:40:03.542125Z",
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"shell.execute_reply.started": "2023-10-07T13:40:03.467498Z"
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},
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"tags": []
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},
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@@ -1833,8 +1833,8 @@
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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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"unit_name = '烯烃部'\n",
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"rq = '20230928'\n",
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"unit_name = '聚醚部'\n",
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"rq = '20231007'\n",
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"list1 = []\n",
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"\n",
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"i = 1\n",
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