20230920
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512song committed
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commit
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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": 31,
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"execution_count": 40,
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"id": "25283932-c03a-4a34-a59d-314fc64d8fbd",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-09-19T09:55:56.717650Z",
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},
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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": 32,
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"execution_count": 42,
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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": "2023-09-19T09:56:00.774430Z",
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"shell.execute_reply.started": "2023-09-19T09:56:00.774414Z"
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"iopub.execute_input": "2023-09-20T10:12:15.164390Z",
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"shell.execute_reply": "2023-09-20T10:12:15.331424Z",
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"shell.execute_reply.started": "2023-09-20T10:12:15.164354Z"
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},
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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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"548\n",
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"548\n"
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"891\n",
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"891\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_20230919.csv'\n",
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"filename = 'data/places_result_20230920.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": 33,
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"execution_count": 43,
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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": "2023-09-19T09:56:14.365981Z",
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"iopub.status.busy": "2023-09-19T09:56:14.365507Z",
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"shell.execute_reply": "2023-09-19T09:56:14.523770Z",
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"shell.execute_reply.started": "2023-09-19T09:56:14.365945Z"
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"iopub.execute_input": "2023-09-20T10:15:10.009585Z",
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"iopub.status.busy": "2023-09-20T10:15:10.009190Z",
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"iopub.status.idle": "2023-09-20T10:15:10.258788Z",
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"shell.execute_reply": "2023-09-20T10:15:10.258306Z",
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"shell.execute_reply.started": "2023-09-20T10:15:10.009553Z"
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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20230919）.xlsx'\n",
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"filename = 'data/天津石化体测情况（截至20230920）.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": 39,
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"execution_count": 47,
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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": "2023-09-19T10:14:32.330635Z",
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"iopub.status.busy": "2023-09-19T10:14:32.330164Z",
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"iopub.status.idle": "2023-09-19T10:14:32.413959Z",
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"shell.execute_reply": "2023-09-19T10:14:32.412831Z",
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"shell.execute_reply.started": "2023-09-19T10:14:32.330599Z"
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"iopub.execute_input": "2023-09-20T10:20:29.348632Z",
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"iopub.status.busy": "2023-09-20T10:20:29.348164Z",
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"iopub.status.idle": "2023-09-20T10:20:29.412315Z",
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"shell.execute_reply": "2023-09-20T10:20:29.411103Z",
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"shell.execute_reply.started": "2023-09-20T10:20:29.348596Z"
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},
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"tags": []
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},
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@@ -1771,25 +1771,25 @@
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"dict3 = {}\n",
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"for k, v in dict2.items():\n",
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" unit = v['unit']\n",
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" sub_unit = v['sub_unit']\n",
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" #sub_unit = v['sub_unit']\n",
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" dict3.setdefault(unit,{})\n",
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" #dict3[unit].setdefault('人数',0)\n",
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" dict3[unit].setdefault(sub_unit,0)\n",
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" dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
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" #dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
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" dict3[unit].setdefault('人数',0)\n",
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" #dict3[unit].setdefault(sub_unit,0)\n",
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" #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
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" dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
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"\n",
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"title =['单位','体测人数']\n",
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"list1 = []\n",
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"for k,v in dict1.items(): \n",
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" unit = v['unit']\n",
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" sub_unit = v['sub_unit']\n",
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" dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n",
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" #sub_unit = v['sub_unit']\n",
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" #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n",
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" dict3[unit]['人数'] = dict3[unit]['人数'] - 1\n",
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"for k, v in dict3.items():\n",
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" for k1, v1 in v.items():\n",
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" list2 = [k,k1,v1]\n",
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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20230919）.xlsx'\n",
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"filename = 'data/天津部门未测试情况（截至20230920）.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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