20230418
This commit is contained in:
512song@sina.com committed
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commit
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@@ -870,10 +870,176 @@
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"print(f'共有{i}条记录被修改')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "76c5412f-f2ef-446a-903d-6b033b5bfd8a",
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"metadata": {},
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"source": [
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"## 统计测评人员"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "38ae9a3f-b284-4407-ab6a-8e992dfd9759",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-18T07:32:25.113781Z",
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"iopub.status.busy": "2023-04-18T07:32:25.113221Z",
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"iopub.status.idle": "2023-04-18T07:32:25.511703Z",
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"shell.execute_reply": "2023-04-18T07:32:25.510486Z",
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"shell.execute_reply.started": "2023-04-18T07:32:25.113731Z"
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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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"364\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"import csv\n",
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"wb = openpyxl.load_workbook('data/淄博交警支队人员名单（排序花名册）.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"cjry = set()\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" phone = sheet.cell(n, 5).value \n",
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" person.setdefault(phone, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value \n",
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" xb = str(sheet.cell(n, 3).value)\n",
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" if xb == '1':\n",
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" sex = '男'\n",
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" elif xb =='2':\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" dict1['unit'] = sheet.cell(n, 1).value\n",
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" person[phone] = dict1\n",
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"list1 = []\n",
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"filename = 'data/Survey_20230418-psy.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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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" cjry.add(line[2])\n",
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"print(len(cjry))\n",
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"list2 = []\n",
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"for k, v in person.items():\n",
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" \n",
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" if k not in cjry:\n",
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" list2.append([k,person[k]['name'],person[k]['unit']])\n",
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" \n",
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"filename = 'data/交警支队未参加中医评估人员(20230417).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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"for row in list2:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "113e45e5-403f-4d5d-9b96-adb7f05780f9",
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"metadata": {},
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"source": [
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"### 统计未明确人员"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"id": "d54bd635-c0d8-4527-811f-6d28f9cf68ae",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-18T07:40:24.190737Z",
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"iopub.status.busy": "2023-04-18T07:40:24.190063Z",
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"iopub.status.idle": "2023-04-18T07:40:24.456429Z",
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"shell.execute_reply": "2023-04-18T07:40:24.455475Z",
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"shell.execute_reply.started": "2023-04-18T07:40:24.190686Z"
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}
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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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"364\n",
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"13626435432\n",
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"13869376228\n",
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"15253398050\n",
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"18705336103\n",
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"13853396557\n",
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"15210715398\n",
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"15864958332\n",
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"15692336276\n",
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"13718887655\n",
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"13573380243\n",
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"15801353667\n",
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"15963308605\n",
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"13953342555\n",
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"13508956688\n",
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"13969301299\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"import csv\n",
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"wb = openpyxl.load_workbook('data/淄博交警支队人员名单（排序花名册）.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"cjry = set()\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,2).value is None:\n",
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" break\n",
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" else: \n",
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" phone = sheet.cell(n, 5).value \n",
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" person.setdefault(phone, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value \n",
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" xb = str(sheet.cell(n, 3).value)\n",
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" if xb == '1':\n",
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" sex = '男'\n",
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" elif xb =='2':\n",
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" sex = '女'\n",
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" dict1['sex'] = sex\n",
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" dict1['unit'] = sheet.cell(n, 1).value\n",
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" person[phone] = dict1\n",
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"list1 = []\n",
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"filename = 'data/Survey_20230418-psy.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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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" cjry.add(line[2])\n",
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"print(len(cjry))\n",
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"list2 = []\n",
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"for item in cjry:\n",
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" if str(item) not in person.keys():\n",
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" print(item)\n"
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]
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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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"id": "ad27154a-ceae-4412-bd87-75d6040eb5d5",
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"id": "908df4fc-254f-4525-a199-e0b82469af81",
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"metadata": {},
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"outputs": [],
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"source": []
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