741 lines
24 KiB
Plaintext
741 lines
24 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "bf152e7d-6a36-4877-98d9-f11e3a73792e",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导入人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 149,
|
||
"id": "1b92b7c5-cb77-49da-95b7-34827ecf1d16",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-28T23:44:56.066757Z",
|
||
"iopub.status.busy": "2023-04-28T23:44:56.065886Z",
|
||
"iopub.status.idle": "2023-04-28T23:44:58.568470Z",
|
||
"shell.execute_reply": "2023-04-28T23:44:58.567666Z",
|
||
"shell.execute_reply.started": "2023-04-28T23:44:56.066716Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
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||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
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"\n",
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"\n",
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||
"wb = openpyxl.load_workbook('data/燕山石化人员情况表.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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"\n",
|
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"for n in range(2, sheet.max_row+1):\n",
|
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 1).value)\n",
|
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" person.setdefault(code, {})\n",
|
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" dict1 = {}\n",
|
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" dict1['name'] = sheet.cell(n, 2).value\n",
|
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" if sheet.cell(n, 7).value ==1:\n",
|
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" sex = '男'\n",
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||
" else:\n",
|
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" sex = '女'\n",
|
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" dict1['sex'] = sheet.cell(n, 3).value\n",
|
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" birth = str(sheet.cell(n, 6).value).split()[0]\n",
|
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" dict1['birth'] = birth\n",
|
||
" if sheet.cell(n,5).value is not None:\n",
|
||
" dict1['phone'] = sheet.cell(n, 5).value\n",
|
||
" if sheet.cell(n,7).value is not None:\n",
|
||
" dict1['id_num'] = sheet.cell(n, 7).value\n",
|
||
" if sheet.cell(n,8).value is not None:\n",
|
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" dict1['SAP'] = sheet.cell(n, 8).value\n",
|
||
" if sheet.cell(n,9).value is not None:\n",
|
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" dict1['工作单位'] = sheet.cell(n, 9).value\n",
|
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" if sheet.cell(n,10).value is not None:\n",
|
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" dict1['车间'] = sheet.cell(n, 10).value\n",
|
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" else:\n",
|
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" dict1['车间'] =''\n",
|
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" if sheet.cell(n,11).value is not None:\n",
|
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" dict1['班组'] = sheet.cell(n, 11).value\n",
|
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" else:\n",
|
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" dict1['班组'] =''\n",
|
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" if sheet.cell(n,12).value is not None:\n",
|
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" dict1['工作性质'] = sheet.cell(n, 11).value\n",
|
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" person[code] = dict1\n",
|
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"filename = 'data/燕山石化人员名单.json'\n",
|
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
|
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"print('ok')"
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]
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},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f5c73dff-697d-4ba5-a90c-9bed68eaf4b3",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 每日成绩导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 150,
|
||
"id": "71e1ec6a-6797-4496-969a-1d1461b9ea58",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-28T23:45:21.332726Z",
|
||
"iopub.status.busy": "2023-04-28T23:45:21.331812Z",
|
||
"iopub.status.idle": "2023-04-28T23:45:21.591418Z",
|
||
"shell.execute_reply": "2023-04-28T23:45:21.590691Z",
|
||
"shell.execute_reply.started": "2023-04-28T23:45:21.332693Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
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||
"text": [
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"335\n",
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||
"123 孙剑 已测试！\n",
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||
"335\n",
|
||
"4136\n"
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]
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||
}
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||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
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"\n",
|
||
"filename = '../item.json'\n",
|
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"item = {}\n",
|
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"unit = {}\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for k,v in dict1.items():\n",
|
||
" item[k] = v\n",
|
||
"re_ta = {}\n",
|
||
"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
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"\n",
|
||
"filename = 'data/places_result_20230428.csv'\n",
|
||
"with open(filename,'r',newline='') as csv_file:\n",
|
||
" fl = csv.reader(csv_file,delimiter=',')\n",
|
||
" header = next(fl) \n",
|
||
" for line in fl:\n",
|
||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||
" list1.append(line)\n",
|
||
"#print(list1)\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" if user in dict1.keys(): \n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
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" re_ta[user]['name'] = dict1[user]['name']\n",
|
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
|
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" re_ta[user]['部门'] = dict1[user]['工作单位']\n",
|
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" item_name = item[m_item]['name']\n",
|
||
" re_ta[user].setdefault(item_name,{}) \n",
|
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" score = int(result[4])/item[m_item]['divisor'] \n",
|
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
|
||
"print(len(re_ta))\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"for k in re_ta.keys():\n",
|
||
" if k in dict2.keys():\n",
|
||
" print(k,dict2[k]['name'],'已测试！')\n",
|
||
"for k, v in re_ta.items():\n",
|
||
" if k not in dict2.keys():\n",
|
||
" dict2[k] = v\n",
|
||
" else:\n",
|
||
" for k1,v1 in v.items():\n",
|
||
" dict2[k][k1] = v1\n",
|
||
"filename = 'data/result_燕山石化（20230428）.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||
"print(len(re_ta))\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(dict2, fl, ensure_ascii=False) \n",
|
||
"print(len(dict2))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "79147ba8-4b90-40ba-81a9-e6062600c239",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 每日成绩导出"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 151,
|
||
"id": "c24880ad-bbbd-4ad8-a894-cbcea389e822",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-28T23:46:14.648250Z",
|
||
"iopub.status.busy": "2023-04-28T23:46:14.647361Z",
|
||
"iopub.status.idle": "2023-04-28T23:46:14.803308Z",
|
||
"shell.execute_reply": "2023-04-28T23:46:14.802604Z",
|
||
"shell.execute_reply.started": "2023-04-28T23:46:14.648208Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
|
||
"title = ['编号','姓名','性别','单位','车间','班组','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化（20230428）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
" \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['工作单位']) \n",
|
||
" list2.append(dict2[k]['车间'])\n",
|
||
" list2.append(dict2[k]['班组'])\n",
|
||
" for item in items:\n",
|
||
" if item in v.keys():\n",
|
||
" list2.append(v[item]['成绩']) \n",
|
||
" elif item =='name':\n",
|
||
" list2.append(v[item])\n",
|
||
" else:\n",
|
||
" list2.append('') \n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化体测情况表(20230428).xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6d431fc1-b743-467c-91b3-9788e245becb",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计部门测试人数"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 152,
|
||
"id": "68454877-f1fe-4eed-8a48-265e428f892e",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-28T23:46:28.786698Z",
|
||
"iopub.status.busy": "2023-04-28T23:46:28.786246Z",
|
||
"iopub.status.idle": "2023-04-28T23:46:28.816358Z",
|
||
"shell.execute_reply": "2023-04-28T23:46:28.815328Z",
|
||
"shell.execute_reply.started": "2023-04-28T23:46:28.786667Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"{'储运厂工会': 37, '炼油厂工会': 42, '化学品厂工会': 29, '高科公司工会': 69, '有机化工厂工会': 91, '物装中心工会': 3, '合成树脂厂': 10, '热电厂工会': 2, '合成橡胶厂工会': 27, '教育培训中心工会': 2, '烯烃厂工会': 11, '检验计量中心工会': 8, '机关工会': 2, '生产运行保障中心': 2}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化（20230428）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"dict2 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" unit = v['部门']\n",
|
||
" dict2.setdefault(unit,0)\n",
|
||
" dict2[unit] = dict2[unit] + 1\n",
|
||
"print(dict2)\n",
|
||
"title =['单位','体测人数']\n",
|
||
"list1 = [] \n",
|
||
"for k, v in dict2.items():\n",
|
||
" list2 = []\n",
|
||
" list2 = [k,v]\n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化部门测试人数情况表(20230428).xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8becc0af-d22b-46a2-b35e-9122942515d4",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 每日未测试人员情况表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"id": "7085bf6f-7465-44fb-bddb-38130fbe5618",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-17T12:58:45.236098Z",
|
||
"iopub.status.busy": "2023-04-17T12:58:45.235274Z",
|
||
"iopub.status.idle": "2023-04-17T12:58:46.270936Z",
|
||
"shell.execute_reply": "2023-04-17T12:58:46.270191Z",
|
||
"shell.execute_reply.started": "2023-04-17T12:58:45.236059Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位','车间','班组']\n",
|
||
"filename = 'data/result_燕山石化（20230417）.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items():\n",
|
||
" list2 = []\n",
|
||
" if k not in dict1.keys():\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['工作单位']) \n",
|
||
" list2.append(dict2[k]['车间'])\n",
|
||
" list2.append(dict2[k]['班组'])\n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化未体测人员名单(20230417).xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3231f52d-776f-4d29-b6f5-c28f6a0c30a9",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 汇总未测试人员情况表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 148,
|
||
"id": "eddf7dab-b28d-402a-aeaf-27c120048ecb",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-27T12:02:16.168114Z",
|
||
"iopub.status.busy": "2023-04-27T12:02:16.167671Z",
|
||
"iopub.status.idle": "2023-04-27T12:02:16.802793Z",
|
||
"shell.execute_reply": "2023-04-27T12:02:16.802099Z",
|
||
"shell.execute_reply.started": "2023-04-27T12:02:16.168084Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位','车间','班组']\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"# 筛选重名剔除名单\n",
|
||
"chongming = []\n",
|
||
"filename = 'data/燕山石化重名人员测试情况.xlsx'\n",
|
||
"wb = openpyxl.load_workbook(filename)\n",
|
||
"sheet = wb.active\n",
|
||
"for n in range(1, sheet.max_row+1,2):\n",
|
||
" if sheet.cell(n,1).value is not None:\n",
|
||
" code1 = int(sheet.cell(n, 1).value)\n",
|
||
" code2 = int(sheet.cell(n+1, 1).value)\n",
|
||
" bz1 = sheet.cell(n, 4).value\n",
|
||
" bz2 = sheet.cell(n+1, 4).value\n",
|
||
" if bz1 =='否' and bz2 =='否':\n",
|
||
" chongming.append(max(code1,code2))\n",
|
||
" else:\n",
|
||
" chongming.append(code1)\n",
|
||
" chongming.append(code2)\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict2.items():\n",
|
||
" list2 = []\n",
|
||
" if k not in dict1.keys() and int(k) not in chongming:\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['工作单位']) \n",
|
||
" list2.append(dict2[k]['车间'])\n",
|
||
" list2.append(dict2[k]['班组'])\n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/燕山石化未体测人员名单(截至20230427).xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "4dd9b2b7-bd3d-4d5b-ac84-3a49bcada8b5",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计测试项目不足人员"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 123,
|
||
"id": "641863ef-324f-4c33-a0a9-699031afb6f1",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-26T11:17:42.517140Z",
|
||
"iopub.status.busy": "2023-04-26T11:17:42.516342Z",
|
||
"iopub.status.idle": "2023-04-26T11:17:42.630705Z",
|
||
"shell.execute_reply": "2023-04-26T11:17:42.629971Z",
|
||
"shell.execute_reply.started": "2023-04-26T11:17:42.517107Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"7756 张志兴 ['身高', '体重', '肺活量', '握力']\n",
|
||
"3999 解勇 ['身高', '体重', '肺活量', '握力']\n",
|
||
"7037 郭维东 ['身高', '体重', '握力', '选择反应时']\n",
|
||
"57 郑文芬 ['身高', '体重', '坐位体前屈', '握力']\n",
|
||
"4031 庞荔元 ['身高', '体重', '肺活量', '选择反应时']\n",
|
||
"4025 马珺 ['身高', '体重', '选择反应时']\n",
|
||
"7790 吴志鹏 ['身高', '体重', '握力']\n",
|
||
"4851 李晓甦 ['身高', '体重', '单脚站立', '握力']\n",
|
||
"8133 张来强 ['身高', '体重', '肺活量', '选择反应时']\n",
|
||
"5628 康文刚 ['身高', '体重', '肺活量', '握力']\n",
|
||
"8151 赵春先 ['身高', '体重', '握力']\n",
|
||
"3699 毛树新 ['身高', '体重', '纵跳', '选择反应时']\n",
|
||
"1699 孙雪飞 ['身高', '体重', '肺活量', '选择反应时']\n",
|
||
"1960 徐慧国 ['身高', '体重', '肺活量', '单脚站立']\n",
|
||
"3563 孙志强 ['身高', '体重', '握力', '纵跳']\n",
|
||
"7682 孙宏林 ['肺活量', '身高', '体重']\n",
|
||
"4370 张宝 ['身高', '体重', '肺活量', '选择反应时']\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
|
||
"title = ['编号','姓名','性别','单位','车间','班组','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n",
|
||
"filename = 'data/result_燕山石化.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"dict3 = {}\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list1 = []\n",
|
||
" for item in v.keys():\n",
|
||
" if item in items:\n",
|
||
" list1.append(item)\n",
|
||
" dict3[k] = list1\n",
|
||
"for k, v in dict3.items():\n",
|
||
" if len(v)<=4 and '身高' in v and '体重' in v:\n",
|
||
" print(k,dict2[k]['name'],v)\n",
|
||
" "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d3a69840-29fc-434d-af47-ad864f9e511c",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 汇总成绩导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 142,
|
||
"id": "b735248a-c1b0-4e90-8df4-37cd7625cb1a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-27T11:19:41.635154Z",
|
||
"iopub.status.busy": "2023-04-27T11:19:41.634745Z",
|
||
"iopub.status.idle": "2023-04-27T11:19:41.975500Z",
|
||
"shell.execute_reply": "2023-04-27T11:19:41.974722Z",
|
||
"shell.execute_reply.started": "2023-04-27T11:19:41.635125Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"3802\n",
|
||
"3802\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"\n",
|
||
"filename = '../item.json'\n",
|
||
"item = {}\n",
|
||
"unit = {}\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"for k,v in dict1.items():\n",
|
||
" item[k] = v\n",
|
||
"re_ta = {}\n",
|
||
"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"\n",
|
||
"filename = 'data/places_result_20230427-all.csv'\n",
|
||
"with open(filename,'r',newline='') as csv_file:\n",
|
||
" fl = csv.reader(csv_file,delimiter=',')\n",
|
||
" header = next(fl) \n",
|
||
" for line in fl:\n",
|
||
" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
|
||
" list1.append(line)\n",
|
||
"#print(list1)\n",
|
||
"for result in list1:\n",
|
||
" user = str(result[2])\n",
|
||
" if user in dict1.keys(): \n",
|
||
" m_item = str(result[3]) \n",
|
||
" re_ta.setdefault(user,{}) \n",
|
||
" re_ta[user]['name'] = dict1[user]['name']\n",
|
||
" re_ta[user]['sex'] = dict1[user]['sex'] \n",
|
||
" re_ta[user]['部门'] = dict1[user]['工作单位']\n",
|
||
" item_name = item[m_item]['name']\n",
|
||
" re_ta[user].setdefault(item_name,{}) \n",
|
||
" score = int(result[4])/item[m_item]['divisor'] \n",
|
||
" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
|
||
"print(len(re_ta))\n",
|
||
"\n",
|
||
"filename = 'data/result_燕山石化-all.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl, ensure_ascii=False) \n",
|
||
"print(len(re_ta))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "5bdcad97-309f-4d29-82c4-b53c68b9ee22",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计重复人员信息"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 132,
|
||
"id": "0dd5da15-92e0-45c2-b9e9-11417210974e",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-27T07:22:33.663659Z",
|
||
"iopub.status.busy": "2023-04-27T07:22:33.662808Z",
|
||
"iopub.status.idle": "2023-04-27T07:22:35.472369Z",
|
||
"shell.execute_reply": "2023-04-27T07:22:35.471662Z",
|
||
"shell.execute_reply.started": "2023-04-27T07:22:33.663618Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"list2 = set()\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"filename = 'data/result_燕山石化-all.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"\n",
|
||
"for k,v in dict1.items():\n",
|
||
" name = v['name']\n",
|
||
" if name in list1:\n",
|
||
" list2.add(name)\n",
|
||
" list1.append(name)\n",
|
||
"list3 = []\n",
|
||
"for item in list2:\n",
|
||
" for k,v in dict1.items():\n",
|
||
" if v['name'] == item:\n",
|
||
" list3.append([k,v['name'],v['sex'],v['birth']])\n",
|
||
"filename = 'data/燕山石化重名人员名单.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"#sheet.append(title)\n",
|
||
"for row in list3:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "96375506-0cca-4a9b-b0da-162460d25e51",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 重复人员测试情况"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 137,
|
||
"id": "5df8eb8f-3594-40be-a491-b4d750bbd554",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2023-04-27T08:23:39.947764Z",
|
||
"iopub.status.busy": "2023-04-27T08:23:39.947326Z",
|
||
"iopub.status.idle": "2023-04-27T08:23:40.072095Z",
|
||
"shell.execute_reply": "2023-04-27T08:23:40.071367Z",
|
||
"shell.execute_reply.started": "2023-04-27T08:23:39.947734Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"list2 = set()\n",
|
||
"filename = 'data/燕山石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl) \n",
|
||
"filename = 'data/result_燕山石化-all.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl) \n",
|
||
"\n",
|
||
"\n",
|
||
"list3 = []\n",
|
||
"\n",
|
||
"filename = 'data/燕山石化重名人员名单.xlsx'\n",
|
||
"wb = openpyxl.load_workbook(filename)\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"\n",
|
||
"\n",
|
||
"for n in range(1, sheet.max_row+1):\n",
|
||
" if sheet.cell(n,1).value is not None:\n",
|
||
" code = int(sheet.cell(n, 1).value)\n",
|
||
" name = dict1[str(code)]['name']\n",
|
||
" unit = dict1[str(code)]['工作单位']\n",
|
||
" if str(code) in dict2.keys():\n",
|
||
" ce = '是'\n",
|
||
" else:\n",
|
||
" ce = '否'\n",
|
||
" list3.append([code,name,unit,ce])\n",
|
||
"filename = 'data/燕山石化重名人员测试情况.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"#sheet.append(title)\n",
|
||
"for row in list3:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename) "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "bfd8e77d-85a5-44aa-b075-b37278910a3f",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.10.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|