From 031a48f4ffea95d0f24fcd77ca6c9eb7ca527891 Mon Sep 17 00:00:00 2001 From: 512song Date: Sun, 16 Apr 2023 10:30:21 +0000 Subject: [PATCH] 20230416 --- 体测单位/上地派出所.ipynb | 303 ++++++++++++++++++++++++++++++++++++++ 体测单位/燕山石化.ipynb | 108 ++++++++++++++ 2 files changed, 411 insertions(+) create mode 100644 体测单位/上地派出所.ipynb create mode 100644 体测单位/燕山石化.ipynb diff --git a/体测单位/上地派出所.ipynb b/体测单位/上地派出所.ipynb new file mode 100644 index 0000000..7afb2fa --- /dev/null +++ b/体测单位/上地派出所.ipynb @@ -0,0 +1,303 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "effb9eb3-27b3-4cc6-bed5-68f7e5279316", + "metadata": {}, + "source": [ + "## 导入人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "069af150-58fd-45ff-bab7-8fe1760abe91", + "metadata": { + "execution": { + "iopub.execute_input": "2023-04-15T14:25:29.264807Z", + "iopub.status.busy": "2023-04-15T14:25:29.263987Z", + "iopub.status.idle": "2023-04-15T14:25:29.959415Z", + "shell.execute_reply": "2023-04-15T14:25:29.958603Z", + "shell.execute_reply.started": "2023-04-15T14:25:29.264769Z" + }, + "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(上地派出所监测花名册) .xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\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", + "\n", + " person[code] = dict1\n", + "filename = 'data/上地派出所人员名单.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "b5eb1f6a-a960-4d51-8c09-f77794926159", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "d0cb294b-d403-4c4c-9de6-61ec98cf9797", + "metadata": { + "execution": { + "iopub.execute_input": "2023-04-15T14:31:21.405573Z", + "iopub.status.busy": "2023-04-15T14:31:21.404701Z", + "iopub.status.idle": "2023-04-15T14:31:21.431005Z", + "shell.execute_reply": "2023-04-15T14:31:21.429944Z", + "shell.execute_reply.started": "2023-04-15T14:31:21.405535Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "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", + "filename = 'data/上地派出所人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "re_ta = {}\n", + "dict2 = {}\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/142.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[4])\n", + " if user in dict1.keys():\n", + " \n", + " m_item = str(result[0]) \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]['unit'] = dict1[user]['unit'] \n", + " item_name = item[m_item]['name']\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[1])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + " re_ta[user][item_name]['得分'] =result[2]\n", + "filename = 'data/result_上地派出所.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "78e461ac-1074-4bce-a2a5-4cd60f3b7ae2", + "metadata": { + "execution": { + "iopub.execute_input": "2023-04-15T14:36:06.348606Z", + "iopub.status.busy": "2023-04-15T14:36:06.348205Z", + "iopub.status.idle": "2023-04-15T14:36:06.363398Z", + "shell.execute_reply": "2023-04-15T14:36:06.362284Z", + "shell.execute_reply.started": "2023-04-15T14:36:06.348579Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "44\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", + "filename = 'data/上地派出所人员名单.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "re_ta = {}\n", + "dict2 = {}\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/142.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[4])\n", + " if user in dict1.keys():\n", + " \n", + " m_item = str(result[0]) \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]['unit'] = dict1[user]['unit'] \n", + " item_name = item[m_item]['name']\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[1])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + " re_ta[user][item_name]['得分'] =result[2]\n", + "print(len(re_ta))" + ] + }, + { + "cell_type": "markdown", + "id": "f62cd919-feb9-4db1-aacc-09b3b8ea30c1", + "metadata": {}, + "source": [ + "## 导出测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "eafc36e7-6a8d-4744-b5ff-9cc0c624c732", + "metadata": { + "execution": { + "iopub.execute_input": "2023-04-15T14:33:22.621334Z", + "iopub.status.busy": "2023-04-15T14:33:22.620509Z", + "iopub.status.idle": "2023-04-15T14:33:22.666051Z", + "shell.execute_reply": "2023-04-15T14:33:22.665054Z", + "shell.execute_reply.started": "2023-04-15T14:33:22.621295Z" + }, + "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/部门','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_上地派出所.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/上地派出所人员名单.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]['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/上地派出所体测情况表.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": "code", + "execution_count": null, + "id": "6f7c8be9-8910-4570-bc09-45f464c77ce9", + "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 +} diff --git a/体测单位/燕山石化.ipynb b/体测单位/燕山石化.ipynb new file mode 100644 index 0000000..1af7b56 --- /dev/null +++ b/体测单位/燕山石化.ipynb @@ -0,0 +1,108 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "bf152e7d-6a36-4877-98d9-f11e3a73792e", + "metadata": {}, + "source": [ + "## 导入人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "1b92b7c5-cb77-49da-95b7-34827ecf1d16", + "metadata": { + "execution": { + "iopub.execute_input": "2023-04-16T09:15:26.090819Z", + "iopub.status.busy": "2023-04-16T09:15:26.089924Z", + "iopub.status.idle": "2023-04-16T09:15:28.536339Z", + "shell.execute_reply": "2023-04-16T09:15:28.535561Z", + "shell.execute_reply.started": "2023-04-16T09:15:26.090779Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/燕山石化人员情况表.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, 1).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 2).value \n", + " dict1['sex'] = sheet.cell(n, 3).value\n", + " birth = str(sheet.cell(n, 6).value).split()[0]\n", + " 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", + " dict1['SAP'] = sheet.cell(n, 8).value\n", + " if sheet.cell(n,9).value is not None:\n", + " dict1['工作单位'] = sheet.cell(n, 9).value\n", + " if sheet.cell(n,10).value is not None:\n", + " dict1['车间'] = sheet.cell(n, 10).value\n", + " else:\n", + " dict1['车间'] =''\n", + " if sheet.cell(n,11).value is not None:\n", + " dict1['班组'] = sheet.cell(n, 11).value\n", + " else:\n", + " dict1['班组'] =''\n", + " if sheet.cell(n,12).value is not None:\n", + " dict1['工作性质'] = sheet.cell(n, 11).value\n", + " person[code] = dict1\n", + "filename = 'data/燕山石化人员名单.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cccb9f2d-3d3a-4292-9204-55310e2c56d1", + "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 +}