{ "cells": [ { "cell_type": "markdown", "id": "021f4ec4-47cd-433a-9d0a-91176b398f32", "metadata": {}, "source": [ "## 导入人员信息" ] }, { "cell_type": "code", "execution_count": 29, "id": "9bd78072-29e5-4c98-8bbe-97f525cf9e4a", "metadata": { "execution": { "iopub.execute_input": "2023-04-26T09:21:52.196489Z", "iopub.status.busy": "2023-04-26T09:21:52.195668Z", "iopub.status.idle": "2023-04-26T09:21:52.973388Z", "shell.execute_reply": "2023-04-26T09:21:52.972674Z", "shell.execute_reply.started": "2023-04-26T09:21:52.196448Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/student_20140922(石家庄监测花名册2023年).xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 4).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 6).value\n", " if sheet.cell(n, 7).value ==1:\n", " sex = '男'\n", " else:\n", " sex = '女'\n", " dict1['sex'] = sex\n", " dict1['unit'] = sheet.cell(n, 3).value\n", " person[code] = dict1\n", "filename = 'data/石家庄2023.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "cb4e0b2a-a17a-470c-afcd-2a532c00f6d0", "metadata": {}, "source": [ "## 每日成绩导入" ] }, { "cell_type": "code", "execution_count": 36, "id": "dd3c65ea-cc8a-4f1b-8698-d1799f99e101", "metadata": { "execution": { "iopub.execute_input": "2023-04-27T07:07:34.179338Z", "iopub.status.busy": "2023-04-27T07:07:34.178517Z", "iopub.status.idle": "2023-04-27T07:07:34.222956Z", "shell.execute_reply": "2023-04-27T07:07:34.221926Z", "shell.execute_reply.started": "2023-04-27T07:07:34.179297Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "118\n", "ok\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/石家庄2023.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230427-sjz.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", " \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]['unit']\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", "filename = 'data/result_石家庄（20230427）.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "a2127ef7-230f-434e-a817-3d4948ed0ca4", "metadata": {}, "source": [ "## 每日成绩导出" ] }, { "cell_type": "code", "execution_count": 37, "id": "97d86ce2-6664-41a1-89d2-ddaa0611bac1", "metadata": { "execution": { "iopub.execute_input": "2023-04-27T07:07:54.855417Z", "iopub.status.busy": "2023-04-27T07:07:54.854561Z", "iopub.status.idle": "2023-04-27T07:07:54.933949Z", "shell.execute_reply": "2023-04-27T07:07:54.932922Z", "shell.execute_reply.started": "2023-04-27T07:07:54.855376Z" }, "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','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_石家庄（20230427）.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/石家庄2023.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]['unit']) \n", " \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/石家庄石化体测情况表(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": "6fae0c4a-f0f6-4abe-bd3a-ea9fef87f2c6", "metadata": {}, "source": [ "## 总成绩导入" ] }, { "cell_type": "code", "execution_count": 38, "id": "e2b68cb1-3a6f-4b51-afbd-d6c9634348b1", "metadata": { "execution": { "iopub.execute_input": "2023-04-27T07:10:23.308568Z", "iopub.status.busy": "2023-04-27T07:10:23.307717Z", "iopub.status.idle": "2023-04-27T07:10:23.593399Z", "shell.execute_reply": "2023-04-27T07:10:23.592690Z", "shell.execute_reply.started": "2023-04-27T07:10:23.308525Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2254\n", "ok\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/石家庄2023.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20230427-sjz-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", " \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]['unit']\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", "filename = 'data/result_石家庄.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "code", "execution_count": null, "id": "6adeedfe-999a-47c2-aeed-fb4467b27026", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 39, "id": "29ed0a03-72e1-4bee-8d00-95555f129d93", "metadata": { "execution": { "iopub.execute_input": "2023-04-27T07:11:19.132911Z", "iopub.status.busy": "2023-04-27T07:11:19.132425Z", "iopub.status.idle": "2023-04-27T07:11:19.660183Z", "shell.execute_reply": "2023-04-27T07:11:19.659444Z", "shell.execute_reply.started": "2023-04-27T07:11:19.132880Z" }, "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','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_石家庄.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/石家庄2023.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]['unit']) \n", " \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/石家庄石化体测情况表.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": "e5de157c-18e2-4a6a-bae8-3db88822b88f", "metadata": {}, "source": [ "## 统计部门测试情况" ] }, { "cell_type": "code", "execution_count": 35, "id": "57b22a08-554b-4b23-b98c-002b4608729f", "metadata": { "execution": { "iopub.execute_input": "2023-04-26T09:42:34.825177Z", "iopub.status.busy": "2023-04-26T09:42:34.824747Z", "iopub.status.idle": "2023-04-26T09:42:34.875587Z", "shell.execute_reply": "2023-04-26T09:42:34.874720Z", "shell.execute_reply.started": "2023-04-26T09:42:34.825140Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'综合办公室（党委办公室）': 19, '销运管理部': 41, '企业管理部（法律事务部）': 12, '合资运行部': 27, '消防支队': 39, '设备工程部': 44, '党群文化部（宣传工团）': 9, '检验计量中心': 180, '发展计划部计划组': 11, '物资采购中心': 52, '炼油运行一部': 112, '审计管理部': 6, '发展计划部发展规划组': 12, '财务管理部': 18, '生产技术部': 35, '党委组织部（资源管理部）': 16, '安全环保部': 26, '储运运行部': 151, '化工运行部': 267, '信息中心': 18, '热电运行部': 92, '炼油运行三部': 127, '行政事务中心': 45, '电气仪表中心': 196, '炼油运行五部': 120, '水务运行部': 133, '编组站': 49, '炼油运行二部': 113, '炼油运行四部': 168, '纪委（监督部）': 2}\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "filename = 'data/result_石家庄.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/石家庄测试名单部门情况(20230426).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", "wb.save(filename)" ] }, { "cell_type": "markdown", "id": "187fc3c8-46f6-4d32-9b52-38efbf2403b4", "metadata": {}, "source": [ "## 统计未测试人员名单" ] }, { "cell_type": "code", "execution_count": 34, "id": "0001a577-3d89-4e3d-be07-51cc74e3640f", "metadata": { "execution": { "iopub.execute_input": "2023-04-26T09:39:12.083561Z", "iopub.status.busy": "2023-04-26T09:39:12.083234Z", "iopub.status.idle": "2023-04-26T09:39:12.148788Z", "shell.execute_reply": "2023-04-26T09:39:12.147956Z", "shell.execute_reply.started": "2023-04-26T09:39:12.083534Z" }, "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "filename = 'data/result_石家庄.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "filename = 'data/石家庄2023.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", "for k, v in dict2.items():\n", " if k not in dict1.keys():\n", " list1.append([k,v['name'],v['unit']])\n", "filename = 'data/石家庄未测试名单(截至20230426).xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "title =['测试编号','姓名','单位']\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", "wb.save(filename)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "2c4b4bfc-6112-4e39-9188-32934479952b", "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 }