From 21177e0b5a04b1f4bb467d084073126a105266b9 Mon Sep 17 00:00:00 2001 From: 512song Date: Thu, 3 Nov 2022 20:35:41 +0800 Subject: [PATCH] 2022110302 --- 体测单位/巴陵石化.ipynb | 365 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 365 insertions(+) create mode 100644 体测单位/巴陵石化.ipynb diff --git a/体测单位/巴陵石化.ipynb b/体测单位/巴陵石化.ipynb new file mode 100644 index 0000000..227e60e --- /dev/null +++ b/体测单位/巴陵石化.ipynb @@ -0,0 +1,365 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "37eee6b1-ddbc-414c-ac74-e831c53c9bdb", + "metadata": {}, + "source": [ + "### 人员基本信息导入" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a27e986c-0c40-4792-b24d-03b19df707a9", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "wb = openpyxl.load_workbook('data/巴陵石化监测花名册.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "person = {}\n", + "for n in range(2, sheet.max_row+1):\n", + " if sheet.cell(n,2).value is None:\n", + " break\n", + " else: \n", + " code = int(sheet.cell(n, 4).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 6).value \n", + " xb = str(sheet.cell(n, 7).value)\n", + " if xb == '1':\n", + " sex = '男'\n", + " elif xb =='2':\n", + " sex = '女'\n", + " dict1['sex'] = sex\n", + " dict1['unit'] = sheet.cell(n, 3).value\n", + " dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]\n", + " person[code] = dict1\n", + "filename = 'data/巴陵石化人员.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "b1384a8f-36f4-483e-afb4-65a56a064dd3", + "metadata": {}, + "source": [ + "### 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5e4145b-d575-46b5-a530-c722668f76f3", + "metadata": { + "tags": [] + }, + "outputs": [], + "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", + "#SQL语句为：\n", + "# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n", + "\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/137_2210.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", + " m_item = str(result[0]) \n", + " re_ta.setdefault(user,{}) \n", + " re_ta[user]['name'] = str(result[6])\n", + " re_ta[user]['unit'] = str(result[5]) \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_巴陵.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "3c911994-2ce1-4412-8d56-39b195e66457", + "metadata": {}, + "source": [ + "### 导出测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0582bc84-7234-415f-9715-66c27b6b8f91", + "metadata": { + "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_巴陵.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/巴陵石化人员.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(8,'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/巴陵石化体测情况表（截至20221031）.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": "8e8dc85d-7ed7-4146-98c6-8d2dc64026ea", + "metadata": {}, + "source": [ + "### 统计测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6b40ff7f-68c1-4c04-9bdc-3af16980fc25", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "items = ['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','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_巴陵.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/巴陵石化人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + " \n", + "list1 = []\n", + "dict3 = {}\n", + "i = 0\n", + "for k, v in dict1.items():\n", + " sex = dict2[k]['sex']\n", + " dict3.setdefault(sex,{}) \n", + " for item in v.keys():\n", + " if item in items:\n", + " dict3[sex].setdefault(item,[]) \n", + " if v[item]['得分'].isdigit() :\n", + " dict3[sex][item].append(v[item]['得分']) \n", + "#print(dict3) \n", + "for k, v in dict3.items():\n", + " sex = k\n", + " for k1, v1 in v.items():\n", + " df = 0\n", + " if len(v1) >0:\n", + " \n", + " for i in range(0,len(v1)-1):\n", + " df = df + int(v1[i])\n", + " print(sex,k1,df,i)\n", + " \n", + " \n" + ] + }, + { + "cell_type": "markdown", + "id": "19947e33-64f8-4855-8b28-60e2a8c3543c", + "metadata": {}, + "source": [ + "### 报告按照部门分组" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7930c77b-7a99-4bd0-b998-b9801ed3b257", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import os,sys,shutil\n", + "import json\n", + "import math\n", + "\n", + "\n", + "fi_path = os.getcwd()+'/file/137'\n", + "old = []\n", + "new = []\n", + "dict2 = {}\n", + "depart = []\n", + "\n", + "filename = 'data/巴陵石化人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "for k, v in dict1.items():\n", + " m_name = v['name']\n", + " m_depart = v['unit']\n", + " depart.append(m_depart) \n", + " dict2[int(k)] = [m_name,m_depart]\n", + "# 创建部门办公室 \n", + "m_path = os.getcwd()+'/file/137/new'\n", + "for pn in depart:\n", + " if not os.path.exists(m_path + '/' + pn):\n", + " os.mkdir(m_path + '/' + pn)\n", + "#print(dict1)\n", + "\n", + "\n", + "fl=os.listdir(fi_path)\n", + "for fn in fl:\n", + " if os.path.isfile(fi_path + '/' + fn):\n", + " ofn = int(fn.split('.')[0])\n", + " old.append(ofn)\n", + " #print(fn)\n", + "old.sort()\n", + " #print(str(nfn)+'.pdf')\n", + "\n", + "for n in old:\n", + " \n", + " o_name = f'{fi_path}/{n}.pdf'\n", + " n_name = f'{fi_path}/new/{dict2[n][1]}/{str(n).rjust(5,\"0\")}-{dict2[n][0]}.pdf'\n", + " if not os.path.exists(n_name):\n", + " shutil.copyfile(o_name,n_name)\n", + " print(n_name)" + ] + }, + { + "cell_type": "markdown", + "id": "b09a3236-e540-4a49-bd19-e11e3de77a71", + "metadata": {}, + "source": [ + "### 统计报告人员信息表" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "22836727-9658-453a-99db-4d270c3253d4", + "metadata": { + "execution": { + "iopub.execute_input": "2022-11-02T03:09:46.184215Z", + "iopub.status.busy": "2022-11-02T03:09:46.183065Z", + "iopub.status.idle": "2022-11-02T03:09:46.407389Z", + "shell.execute_reply": "2022-11-02T03:09:46.404489Z", + "shell.execute_reply.started": "2022-11-02T03:09:46.184107Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "import os\n", + "import glob\n", + "\n", + "filename = 'data/巴陵石化人员.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "m_path = os.getcwd()+'/file/137'\n", + "fls = glob.glob(f'file/137/*.pdf')\n", + "list1 = []\n", + "for fn in fls:\n", + " list2 = []\n", + " code = os.path.basename(fn).split('.')[0]\n", + " list2 = [code.rjust(5,\"0\"),dict1[code]['name'],dict1[code]['unit']]\n", + " list1.append(list2)\n", + "title = ['编号','姓名','部门'] \n", + "filename = 'data/巴陵十五部门人员体测情况表（截至20221101）.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": "b5c817af-a77e-4968-9a9e-680675f4a646", + "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": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}