{ "cells": [ { "cell_type": "markdown", "id": "4b749231-7ab9-4dcd-8cfd-7b9be485d3c6", "metadata": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "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": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "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": null, "id": "ad88fd2a-39ce-4a88-bd4a-7699264fd47d", "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", " 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": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "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": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "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": { "jp-MarkdownHeadingCollapsed": true, "tags": [] }, "source": [ "## 获取第一次报告人员情况" ] }, { "cell_type": "code", "execution_count": null, "id": "a09d16d7-62a8-4628-9df3-4658a78a9a14", "metadata": { "tags": [] }, "outputs": [], "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": "markdown", "id": "bb3448ff-a8d3-417d-ab3a-4b54e28aaca0", "metadata": {}, "source": [ "## 2023年体测情况" ] }, { "cell_type": "markdown", "id": "d7ad01ef-93c3-4735-b609-bb5d38f85a25", "metadata": {}, "source": [ "### 导入最新人员手机信息" ] }, { "cell_type": "code", "execution_count": 4, "id": "dfa3f093-25a7-4a8d-b4d6-22e0f6fcbb92", "metadata": { "execution": { "iopub.execute_input": "2023-03-13T11:16:03.723835Z", "iopub.status.busy": "2023-03-13T11:16:03.722922Z", "iopub.status.idle": "2023-03-13T11:16:03.822603Z", "shell.execute_reply": "2023-03-13T11:16:03.821845Z", "shell.execute_reply.started": "2023-03-13T11:16:03.723794Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1 郝国政 18813095526 501\n", "2 杜鹏 15910618307 506\n", "3 魏垚 18765506895 232\n", "4 赵亮亮 18610066890 507\n" ] } ], "source": [ "import openpyxl\n", "import math\n", "import json\n", "import pymysql\n", "\n", "fi_xls = 'data/低碳院多点账号20230217.xlsx'\n", "chongming = ['王锐','王楠','郭强','王涛','张静']\n", "dict1 = {}\n", "dict2 = {}\n", "dict3 = {}\n", "\n", "db = pymysql.connect(host = \"localhost\",user = \"songyi\",password = \"yylzs\",database = \"ydyb\" )\n", "cursor = db.cursor()\n", "sql = \"SELECT a.name ,a.phone,b.avatar_id FROM people as a,places_people as b WHERE a.id =b.people_id AND b.place_id = 139\"\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "for result in results:\n", " if result[0] not in chongming:\n", " dict2[result[0]] = [str(result[1]).strip(),result[2]]\n", "#print(dict2)\n", "\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,2).value is not None:\n", " dict1[int(sheet.cell(n,1).value)] = [sheet.cell(n,2).value,sheet.cell(n,3).value,str(sheet.cell(n,4).value).strip()]\n", "#print(dict1)\n", "i = 1\n", "for k, v in dict1.items():\n", " if v[0] in dict2.keys() and v[2]!=dict2[v[0]][0]:\n", " print(i,v[0],v[2],dict2[v[0]][1])\n", " i+= 1" ] }, { "cell_type": "markdown", "id": "c27c6f4b-d0ed-40e8-aed9-09662edd21c6", "metadata": {}, "source": [ "### 统计问卷人员信息" ] }, { "cell_type": "code", "execution_count": 8, "id": "8ccee97e-60e0-4363-b706-d4a71f214142", "metadata": { "execution": { "iopub.execute_input": "2023-03-13T11:40:04.102953Z", "iopub.status.busy": "2023-03-13T11:40:04.102098Z", "iopub.status.idle": "2023-03-13T11:40:04.275805Z", "shell.execute_reply": "2023-03-13T11:40:04.274943Z", "shell.execute_reply.started": "2023-03-13T11:40:04.102912Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "15210715398\n", "13810886698\n" ] } ], "source": [ "import json\n", "import pymysql\n", "import openpyxl\n", "\n", "\n", "dict1 = {}\n", "dict2 = {}\n", "dict3 = {}\n", "list1 = []\n", "fi_xls = 'data/低碳院多点账号20230217.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,2).value is not None:\n", " list1.append(str(sheet.cell(n,4).value).strip())\n", "#print(list1)\n", "list2 = []\n", "list3 = []\n", "\n", "\n", "db = pymysql.connect(host = \"localhost\",user = \"songyi\",password = \"yylzs\",database = \"ydyb\" )\n", "cursor = db.cursor()\n", "sql = \"select * FROM Survey s WHERE s.surveyId IN ('psy6') AND s.updatedAt >'2022-11-01'\"\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "for result in results: \n", " #dict2[result[0]] = [str(result[2]).strip(),result[1]]\n", " dict2[result[0]] = str(result[2]).strip()\n", "#print(dict2)\n", "for k, v in dict2.items():\n", " if v not in list1:\n", " list2.append(v)\n", "sql = \"SELECT a.phone FROM people as a,places_people as b WHERE a.id =b.people_id AND b.place_id = 139\"\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "for result in results:\n", " list3.append(result[0])\n", "#print(dict2)\n", "for item in list2:\n", " if item not in list3:\n", " print(item)\n" ] }, { "cell_type": "markdown", "id": "9ba6ea9a-28f5-43c7-9dd7-74a626838303", "metadata": {}, "source": [ "### 统计2022年问卷人员信息" ] }, { "cell_type": "code", "execution_count": 11, "id": "2339b885-e885-499a-a078-5a2a1fb818bd", "metadata": { "execution": { "iopub.execute_input": "2023-03-13T12:25:35.400570Z", "iopub.status.busy": "2023-03-13T12:25:35.399705Z", "iopub.status.idle": "2023-03-13T12:25:35.531463Z", "shell.execute_reply": "2023-03-13T12:25:35.530708Z", "shell.execute_reply.started": "2023-03-13T12:25:35.400529Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "15210715398\n", "15006594388\n", "15210715398\n", "17326968610\n", "17326968610\n" ] } ], "source": [ "import json\n", "import pymysql\n", "import openpyxl\n", "\n", "\n", "dict1 = {}\n", "dict2 = {}\n", "dict3 = {}\n", "list1 = []\n", "fi_xls = 'data/低碳院多点账号20230217.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,2).value is not None:\n", " list1.append(str(sheet.cell(n,4).value).strip())\n", "#print(list1)\n", "list2 = []\n", "list3 = []\n", "\n", "\n", "db = pymysql.connect(host = \"localhost\",user = \"songyi\",password = \"yylzs\",database = \"ydyb\" )\n", "cursor = db.cursor()\n", "sql = \"select * FROM Survey s WHERE s.surveyId IN ('psy4','tcmv2') AND s.updatedAt >'2022-11-01'\"\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "for result in results: \n", " #dict2[result[0]] = [str(result[2]).strip(),result[1]]\n", " dict2[result[0]] = str(result[2]).strip()\n", "#print(dict2)\n", "for k, v in dict2.items():\n", " if v not in list1:\n", " list2.append(v)\n", "sql = \"SELECT a.phone FROM people as a,places_people as b WHERE a.id =b.people_id AND b.place_id = 139\"\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "for result in results:\n", " list3.append(result[0])\n", "#print(dict2)\n", "for item in list2:\n", " if item not in list3:\n", " print(item)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "30704310-351a-406d-a0fe-02a5cefe6012", "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 }