diff --git a/体测单位/低碳院.ipynb b/体测单位/低碳院.ipynb new file mode 100644 index 0000000..943b308 --- /dev/null +++ b/体测单位/低碳院.ipynb @@ -0,0 +1,468 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4b749231-7ab9-4dcd-8cfd-7b9be485d3c6", + "metadata": {}, + "source": [ + "## 低碳院人员信息对应关系及导出" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a52629c-52b3-47ee-9796-9db0befc5140", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import os,sys,shutil\n", + "import openpyxl\n", + "import math\n", + "import json\n", + "\n", + "fi_xls = 'data/北京低碳监测.xlsx'\n", + "old = []\n", + "dict1 = {}\n", + "dict2 = {}\n", + "dict3 = {}\n", + "wb = openpyxl.load_workbook(fi_xls)\n", + "sheet = wb.active\n", + "depart = []\n", + "for n in range(2,sheet.max_row+1): \n", + " m_name = sheet.cell(n,6).value\n", + " m_depart = sheet.cell(n,3).value\n", + " if sheet.cell(n,4).value is not None:\n", + " dict1[int(sheet.cell(n,4).value)] = [m_name,m_depart]\n", + "fi_xls = 'data/低碳院人员邮件信息.xlsx'\n", + "\n", + "wb = openpyxl.load_workbook(fi_xls)\n", + "sheet = wb.active\n", + "for n in range(2,sheet.max_row+1): \n", + " m_dm = sheet.cell(n,3).value\n", + " m_depart = sheet.cell(n,2).value\n", + " m_name = sheet.cell(n,4).value\n", + " m_email = sheet.cell(n,3).value+sheet.cell(n,6).value\n", + "\n", + " if sheet.cell(n,3).value is not None:\n", + " dict2[sheet.cell(n,3).value] = [m_name,m_depart,m_email]\n", + "#print(dict2)\n", + "for item in dict1.keys():\n", + " old.append(item)\n", + "old.sort()\n", + "\n", + "for n in old:\n", + " m_name = dict1[n][0]\n", + " m_depart = dict1[n][1]\n", + " for item in dict2.values():\n", + " if m_name in item and m_depart in item:\n", + " dict3[int(n)] = [m_name,m_depart,item[2]]\n", + " break\n", + "dict3[232] = ['王锐','新能源技术研究中心','20063984@ceic.com']\n", + "dict3[213] = ['王锐','新能源技术研究中心','17240222@ceic.com']\n", + "\n", + "fi_xls = 'data/汇总表.xlsx'\n", + "\n", + "wb = openpyxl.load_workbook(fi_xls)\n", + "sheet = wb.active\n", + "for n in range(2,sheet.max_row+1): \n", + " m_dm = int(sheet.cell(n,1).value)\n", + " m_pn = sheet.cell(n,6).value\n", + " m_xb = sheet.cell(n,3).value\n", + " m_birth = sheet.cell(n,4).value\n", + " if sheet.cell(n,1).value is not None:\n", + " dict3[m_dm].append(m_xb)\n", + " dict3[m_dm].append(m_birth)\n", + " dict3[m_dm].append(m_pn)\n", + "#print(dict2)\n", + "\n", + "with open('data/低碳院人员信息.json','w') as fl2:\n", + " json.dump(dict3,fl2,ensure_ascii=False) " + ] + }, + { + "cell_type": "markdown", + "id": "2494ff3b-f52f-4933-9879-1b47857d8c67", + "metadata": {}, + "source": [ + "## 低碳院人员体质分组" + ] + }, + { + "cell_type": "markdown", + "id": "b18747ae-bda7-40bb-af9d-76a987608b81", + "metadata": {}, + "source": [ + "### 导出至Excel文件" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a1473ba9-9d8b-4b8a-91a4-d72d680aed8b", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "dict1 = {}\n", + "fl_name = 'data/低碳院人员信息.json'\n", + "with open(fl_name,'r') as fl:\n", + " m_xx = json.load(fl)\n", + " \n", + "#print(m_xx)\n", + "fi_xls = 'data/适应A组.xlsx'\n", + "wb = openpyxl.load_workbook(fi_xls)\n", + "sheet = wb.active\n", + "for n in range(2,sheet.max_row+1):\n", + " if sheet.cell(n,3).value is not None:\n", + " m_dm = str(sheet.cell(n,1).value)\n", + " m_name = sheet.cell(n,2).value\n", + " m_email = m_xx[m_dm][2]\n", + " m_pn = m_xx[m_dm][3]\n", + " dict1[m_dm.rjust(5,\"0\")] = [m_name,m_email,m_pn]\n", + "m_dm = []\n", + "for item in dict1.keys():\n", + " m_dm.append(item.rjust(5,\"0\"))\n", + "m_dm.sort()\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "i = 2\n", + "sheet[f'A1'] = '编号'\n", + "sheet[f'B1'] = '姓名'\n", + "sheet[f'C1'] = '邮箱'\n", + "sheet[f'D1'] = '电话'\n", + "for item in m_dm:\n", + " sheet[f'A{i}'] = item\n", + " sheet[f'B{i}'] = dict1[item][0]\n", + " sheet[f'C{i}'] = dict1[item][1]\n", + " sheet[f'D{i}'] = dict1[item][2]\n", + " i+=1\n", + "wb.save('data/A.xlsx') " + ] + }, + { + "cell_type": "markdown", + "id": "1bb5122f-6100-44b4-9f65-9fac74f69136", + "metadata": {}, + "source": [ + "### 导出邮件发送人信息" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9635e141-60f7-4128-baed-d9c31c1fb1b1", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "dict1 = {}\n", + "fl_name = 'data/低碳院人员信息.json'\n", + "with open(fl_name,'r') as fl:\n", + " m_xx = json.load(fl)\n", + " \n", + "#print(m_xx)\n", + "list1 = []\n", + "fi_xls = 'data/适应A组.xlsx'\n", + "wb = openpyxl.load_workbook(fi_xls)\n", + "sheet = wb.active\n", + "for n in range(2,sheet.max_row+1):\n", + " if sheet.cell(n,3).value is not None:\n", + " m_dm = str(sheet.cell(n,1).value)\n", + " m_name = sheet.cell(n,2).value\n", + " m_email = m_xx[m_dm][2]\n", + " m_pn = m_xx[m_dm][3]\n", + " dict1[m_dm.rjust(5,\"0\")] = [m_name,m_email,m_pn]\n", + "m_dm = []\n", + "for item in dict1.keys():\n", + " m_dm.append(item)\n", + "m_dm.sort()\n", + "for s in m_dm:\n", + " if dict1[s][1]:\n", + " list1.append(dict1[s][1])\n", + "#print(';'.join(list1))\n", + "m_len = len(list1)\n", + "if m_len > 200:\n", + " mail_list1 = []\n", + " mail_list2 = []\n", + " mail_list3 = []\n", + " for i in range(0,100):\n", + " mail_list1.append(list1[i])\n", + " for i in range(100,200):\n", + " mail_list2.append(list1[i])\n", + " for i in range(200,m_len):\n", + " mail_list3.append(list1[i])\n", + " #print(len(mail_list1),len(mail_list2))\n", + " print(';'.join(mail_list1))\n", + " print('\\n')\n", + " print(';'.join(mail_list2))\n", + " print('\\n')\n", + " print(';'.join(mail_list3))\n", + "else:\n", + " mail_list1 = []\n", + " for i in range(0,m_len):\n", + " mail_list1.append(list1[i])\n", + " print(';'.join(mail_list1))" + ] + }, + { + "cell_type": "markdown", + "id": "ce79e61f-83c4-4425-b27b-e9edf8fb20cd", + "metadata": {}, + "source": [ + "### 汇总分组导出Excel" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "ad88fd2a-39ce-4a88-bd4a-7699264fd47d", + "metadata": { + "execution": { + "iopub.execute_input": "2022-08-02T00:02:15.159762Z", + "iopub.status.busy": "2022-08-02T00:02:15.159231Z", + "iopub.status.idle": "2022-08-02T00:02:15.980533Z", + "shell.execute_reply": "2022-08-02T00:02:15.979419Z", + "shell.execute_reply.started": "2022-08-02T00:02:15.159712Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "dict1 = {}\n", + "fl_name = 'data/低碳院人员信息.json'\n", + "with open(fl_name,'r') as fl:\n", + " dict1 = json.load(fl)\n", + " \n", + "#print(m_xx)\n", + "list1 = ['适应A组','适应B组','适应C组','提高组']\n", + "for item in list1:\n", + " fi_xls = f'data/{item}.xlsx'\n", + " wb = openpyxl.load_workbook(fi_xls)\n", + " sheet = wb.active\n", + " for n in range(2,sheet.max_row+1):\n", + " if sheet.cell(n,3).value is not None:\n", + " m_dm = str(sheet.cell(n,1).value) \n", + " dict1[m_dm].append(item)\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet['A1'] = '编号'\n", + "sheet['B1'] = '姓名'\n", + "sheet['C1'] = '性别'\n", + "sheet['D1'] = '出生日期'\n", + "sheet['E1'] = '部门'\n", + "sheet['F1'] = '邮件'\n", + "sheet['G1'] = '联系电话'\n", + "sheet['H1'] = '组别'\n", + "i = 2 \n", + "for k, v in dict1.items(): \n", + " sheet[f'A{i}'] = k\n", + " sheet[f'B{i}'] = v[0]\n", + " sheet[f'C{i}'] = v[3]\n", + " sheet[f'D{i}'] = v[4]\n", + " sheet[f'E{i}'] = v[1]\n", + " sheet[f'F{i}'] = v[2]\n", + " sheet[f'G{i}'] = v[5]\n", + " sheet[f'H{i}'] = v[6]\n", + " i+= 1\n", + " \n", + "wb.save('data/低碳院人员运动分组表.xlsx') " + ] + }, + { + "cell_type": "markdown", + "id": "231a0872-34ac-4121-870e-ba398a158576", + "metadata": {}, + "source": [ + "## 合并人员成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "968eacff-74c0-4a2f-aa2a-c29b6da71364", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import math\n", + "import json\n", + "\n", + "dict1 = {}\n", + "\n", + " \n", + "#print(m_xx)\n", + "fi_xls = 'data/成绩得分4.xlsx'\n", + "wb = openpyxl.load_workbook(fi_xls)\n", + "sheet = wb.active\n", + "for n in range(2,sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " m_dm = sheet.cell(n,1).value\n", + " list1 = []\n", + " for i in range(2,28):\n", + " list1.append(sheet.cell(n,i).value)\n", + " dict1[m_dm] = list1\n", + "fi_xls = 'data/成绩得分5.xlsx'\n", + "wb = openpyxl.load_workbook(fi_xls)\n", + "sheet = wb.active\n", + "for n in range(2,sheet.max_row+1):\n", + " if sheet.cell(n,1).value is not None:\n", + " m_dm = sheet.cell(n,1).value\n", + " list1 = []\n", + " for i in range(2,28):\n", + " list1.append(sheet.cell(n,i).value)\n", + " dict1[m_dm] = list1\n", + "#print(dict1)\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "i = 1\n", + " \n", + "for k, v in dict1.items():\n", + " m_bh = str(k).rjust(5,\"0\")\n", + " list2=['B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z','AA']\n", + " sheet[f'A{i}'] = k\n", + " for ii in range(0,26): \n", + " sheet[f'{list2[ii]}{i}'] = v[ii]\n", + " ii+= 1\n", + " i+= 1\n", + " \n", + "wb.save('data/合并.xlsx') \n", + " \n" + ] + }, + { + "cell_type": "markdown", + "id": "0bef4bd3-99e8-4a2d-a418-77f832b1254a", + "metadata": {}, + "source": [ + "## 导出人员信息表" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c0dac48c-490a-4632-8bdc-46c09adb9de8", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import math\n", + "import json\n", + " \n", + "dict1 = {}\n", + "fl_name = 'data/低碳院人员信息.json'\n", + "with open(fl_name,'r') as fl:\n", + " m_xx = json.load(fl)\n", + " \n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet['A1'] = '编号'\n", + "sheet['B1'] = '姓名'\n", + "sheet['C1'] = '性别'\n", + "sheet['D1'] = '出生日期'\n", + "sheet['E1'] = '部门'\n", + "sheet['F1'] = '邮件'\n", + "sheet['G1'] = '联系电话'\n", + "i = 2 \n", + "for k, v in m_xx.items():\n", + " m_bh = str(k).rjust(5,\"0\")\n", + " sheet[f'A{i}'] = k\n", + " sheet[f'B{i}'] = v[0]\n", + " sheet[f'C{i}'] = v[3]\n", + " sheet[f'D{i}'] = v[4]\n", + " sheet[f'E{i}'] = v[1]\n", + " sheet[f'F{i}'] = v[2]\n", + " sheet[f'G{i}'] = v[5]\n", + " i+= 1\n", + " \n", + "wb.save('data/低碳院人员信息表.xlsx') " + ] + }, + { + "cell_type": "markdown", + "id": "b1462a26-59f8-4e5f-8fb9-d927059e0747", + "metadata": {}, + "source": [ + "## 获取第一次报告人员情况" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a09d16d7-62a8-4628-9df3-4658a78a9a14", + "metadata": { + "execution": { + "iopub.execute_input": "2022-08-09T01:55:02.666968Z", + "iopub.status.busy": "2022-08-09T01:55:02.666453Z", + "iopub.status.idle": "2022-08-09T01:55:02.676595Z", + "shell.execute_reply": "2022-08-09T01:55:02.675414Z", + "shell.execute_reply.started": "2022-08-09T01:55:02.666920Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "332\n" + ] + } + ], + "source": [ + "import json\n", + " \n", + "dict1 = {}\n", + "fl_name = 'data/低碳院报告.json'\n", + "with open(fl_name,'r') as fl:\n", + " m_xx = json.load(fl)\n", + "print(len(m_xx.keys()))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "199c011d-a253-429a-ad51-645b37f679a1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/体测单位/天津石化.ipynb b/体测单位/天津石化.ipynb new file mode 100644 index 0000000..bfb4a39 --- /dev/null +++ b/体测单位/天津石化.ipynb @@ -0,0 +1,90 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "ae533fe9-e20e-4e44-b9bb-030c4fa4e714", + "metadata": {}, + "source": [ + "## 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b", + "metadata": { + "execution": { + "iopub.execute_input": "2022-10-15T14:33:57.992886Z", + "iopub.status.busy": "2022-10-15T14:33:57.992353Z", + "iopub.status.idle": "2022-10-15T14:33:59.266279Z", + "shell.execute_reply": "2022-10-15T14:33:59.265333Z", + "shell.execute_reply.started": "2022-10-15T14:33:57.992838Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/天津石化员工检测花名册 （20221014）.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "\n", + "for n in range(2, sheet.max_row+1):\n", + " code = sheet.cell(n, 6).value\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 3).value\n", + " dict1['sex'] = sheet.cell(n, 4).value\n", + " dict1['unit'] = sheet.cell(n, 1).value\n", + " dict1['sub_unit'] = sheet.cell(n, 2).value\n", + " dict1['id_num'] = sheet.cell(n,5).value\n", + " person[code] = dict1\n", + "filename = 'data/天津石化人员名单.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": "bf980970-b95f-47f3-a93d-55a659f52471", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}