From 8b465880495d1457c3e45da4003650c5f184f918 Mon Sep 17 00:00:00 2001 From: "512song@sina.com" Date: Wed, 26 Oct 2022 23:44:08 +0800 Subject: [PATCH] 20221026 --- 体测单位/北海炼化.ipynb | 435 ++++++++++++++++++++++++++++++++++++++++ 体测单位/天津石化.ipynb | 46 ++--- 2 files changed, 458 insertions(+), 23 deletions(-) create mode 100644 体测单位/北海炼化.ipynb diff --git a/体测单位/北海炼化.ipynb b/体测单位/北海炼化.ipynb new file mode 100644 index 0000000..0fcd208 --- /dev/null +++ b/体测单位/北海炼化.ipynb @@ -0,0 +1,435 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "61f4a6eb-797e-4fe2-95df-e27b316c95f1", + "metadata": {}, + "source": [ + "### 人员基本信息导入" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "f6bc68b5-9ed8-4b28-ab1a-452107b6429a", + "metadata": { + "execution": { + "iopub.execute_input": "2022-10-26T11:58:59.214911Z", + "iopub.status.busy": "2022-10-26T11:58:59.214385Z", + "iopub.status.idle": "2022-10-26T11:59:00.200796Z", + "shell.execute_reply": "2022-10-26T11:59:00.199708Z", + "shell.execute_reply.started": "2022-10-26T11:58:59.214863Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "wb = openpyxl.load_workbook('data/北海石化监测花名册2022 .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/北海炼化人员_2022.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "fe54b0b2-0abd-4ee9-827d-0e3a4c9bd1f2", + "metadata": {}, + "source": [ + "### 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "97031317-76ed-4404-b922-6ca749e4fd2a", + "metadata": { + "execution": { + "iopub.execute_input": "2022-10-26T15:13:05.551848Z", + "iopub.status.busy": "2022-10-26T15:13:05.551291Z", + "iopub.status.idle": "2022-10-26T15:13:05.733924Z", + "shell.execute_reply": "2022-10-26T15:13:05.732766Z", + "shell.execute_reply.started": "2022-10-26T15:13:05.551800Z" + }, + "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", + "#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/138_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_北海炼化2022.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "be6b6709-a2b0-4c34-aca1-000e1fb45953", + "metadata": {}, + "source": [ + "### 导出测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "f70a02f2-934e-43ed-93ff-b34cb732dfc6", + "metadata": { + "execution": { + "iopub.execute_input": "2022-10-26T15:13:15.553588Z", + "iopub.status.busy": "2022-10-26T15:13:15.553050Z", + "iopub.status.idle": "2022-10-26T15:13:15.663507Z", + "shell.execute_reply": "2022-10-26T15:13:15.662380Z", + "shell.execute_reply.started": "2022-10-26T15:13:15.553540Z" + }, + "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_北海炼化2022.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/北海炼化人员_2022.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/北海炼化体测情况表（截至20221026）.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": "5ec595eb-f979-425e-b7eb-9af094ffb43d", + "metadata": {}, + "source": [ + "### 导入2021年人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "a9460ee7-1f60-4a3b-a45d-8a1dba04b920", + "metadata": { + "execution": { + "iopub.execute_input": "2022-10-26T11:59:11.407159Z", + "iopub.status.busy": "2022-10-26T11:59:11.406624Z", + "iopub.status.idle": "2022-10-26T11:59:11.664219Z", + "shell.execute_reply": "2022-10-26T11:59:11.663061Z", + "shell.execute_reply.started": "2022-10-26T11:59:11.407111Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/北海炼化人员_2022.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/all_result.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "dict3 = {}\n", + "dict3 = dict2['北海炼化']\n", + "\n", + "for k, v in dict1.items():\n", + " name = v['name']\n", + " birth = v['birth']\n", + " for k1, v1 in dict3.items():\n", + " if v1['name'] == name and v1['birth'] == birth:\n", + " dict1[k]['old_code'] = int(k1)\n", + " dict1[k]['record'] = v1['record']\n", + " \n", + "filename = 'data/北海炼化人员_2022.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "0a221ef2-0d86-45a7-916e-bce634a57bfe", + "metadata": {}, + "source": [ + "### 核对2021体测人员" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "61fbd157-f4f0-4c85-98dc-0e79ee99280b", + "metadata": { + "execution": { + "iopub.execute_input": "2022-10-26T11:59:14.395184Z", + "iopub.status.busy": "2022-10-26T11:59:14.394650Z", + "iopub.status.idle": "2022-10-26T11:59:14.567363Z", + "shell.execute_reply": "2022-10-26T11:59:14.566447Z", + "shell.execute_reply.started": "2022-10-26T11:59:14.395136Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "00068 张利雄 1987-09-24\n", + "00120 黎秀珍 1966-12-22\n", + "00259 彭秋丽 1989-08-15\n", + "00348 黄宏州 1995-02-19\n", + "00424 易华锋 1985-12-02\n", + "00524 周爱娟 1971-10-11\n", + "00525 马遥碧 1971-06-13\n", + "00534 潘永远 1962-03-24\n", + "00614 刘文涛 1997-07-13\n", + "00689 陈雪 1966-11-14\n", + "00725 冯剑秋 1972-01-07\n", + "00727 汪纯燕 1971-12-06\n", + "00733 曾媛 1972-07-14\n", + "00758 谭志坚 1972-04-02\n", + "00798 冯鸥 1992-11-24\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/北海炼化人员_2022.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "list1 = []\n", + "for k,v in dict1.items():\n", + " if 'old_code' in v.keys():\n", + " list1.append(v['old_code'])\n", + "filename = 'data/all_result.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "dict3 = {}\n", + "dict3 = dict2['北海炼化']\n", + "for k, v in dict3.items():\n", + " if int(k) not in list1:\n", + " print(k,v['name'],v['birth'])" + ] + }, + { + "cell_type": "markdown", + "id": "e6698931-04fb-4dd8-a844-55790cbe3eb9", + "metadata": {}, + "source": [ + "### 比照人员两年成绩" + ] + }, + { + "cell_type": "markdown", + "id": "727be8d7-8a4c-4cf4-8139-476f407a31b0", + "metadata": {}, + "source": [ + "#### 比照两年单项成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "d3ca4d45-6a83-4d50-8419-cf8aa9b3aa4c", + "metadata": { + "execution": { + "iopub.execute_input": "2022-10-26T12:11:23.788353Z", + "iopub.status.busy": "2022-10-26T12:11:23.787816Z", + "iopub.status.idle": "2022-10-26T12:11:23.836530Z", + "shell.execute_reply": "2022-10-26T12:11:23.835397Z", + "shell.execute_reply.started": "2022-10-26T12:11:23.788303Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/北海炼化人员_2022.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "list1 = dict1.keys()\n", + "items = ['台阶指数']\n", + "title = ['编号','姓名','部门','22年台阶指数','21年台阶指数']\n", + "filename = 'data/result_北海炼化2022.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "list4 = []\n", + "for k, v in dict2.items():\n", + " if k in list1:\n", + " list2 = [k,v['name'],v['unit']]\n", + " list3 = []\n", + " for item in items:\n", + " # 获取2022年成绩\n", + " if item in v.keys(): \n", + " list2.append(v[item]['成绩'].split()[0]) \n", + " else:\n", + " list2.append('')\n", + " # 获取2021年成绩\n", + " if 'record' in dict1[k].keys() and item in dict1[k]['record'].keys():\n", + " list3.append(dict1[k]['record'][item]['成绩']) \n", + " else:\n", + " list3.append('')\n", + " for cj in list3:\n", + " if cj != '':\n", + " list2.append(cj.split()[0]) \n", + " \n", + " list4.append(list2)\n", + "filename = 'data/b北海炼化成绩对照221026.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list4:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename) " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70de1be8-e55c-4b7a-bad9-78ad77f199d0", + "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 index 3909a72..53935ca 100644 --- a/体测单位/天津石化.ipynb +++ b/体测单位/天津石化.ipynb @@ -10,15 +10,15 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 30, "id": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b", "metadata": { "execution": { - "iopub.execute_input": "2022-10-24T01:23:19.812476Z", - "iopub.status.busy": "2022-10-24T01:23:19.811935Z", - "iopub.status.idle": "2022-10-24T01:23:21.182395Z", - "shell.execute_reply": "2022-10-24T01:23:21.180972Z", - "shell.execute_reply.started": "2022-10-24T01:23:19.812426Z" + "iopub.execute_input": "2022-10-26T15:14:22.185120Z", + "iopub.status.busy": "2022-10-26T15:14:22.184598Z", + "iopub.status.idle": "2022-10-26T15:14:23.499268Z", + "shell.execute_reply": "2022-10-26T15:14:23.498134Z", + "shell.execute_reply.started": "2022-10-26T15:14:22.185071Z" }, "tags": [] }, @@ -67,15 +67,15 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 26, "id": "a57ebb22-543c-4804-8d44-89984058ec1d", "metadata": { "execution": { - "iopub.execute_input": "2022-10-24T01:21:48.803009Z", - "iopub.status.busy": "2022-10-24T01:21:48.802465Z", - "iopub.status.idle": "2022-10-24T01:21:48.864714Z", - "shell.execute_reply": "2022-10-24T01:21:48.863863Z", - "shell.execute_reply.started": "2022-10-24T01:21:48.802959Z" + "iopub.execute_input": "2022-10-26T15:13:30.118858Z", + "iopub.status.busy": "2022-10-26T15:13:30.118322Z", + "iopub.status.idle": "2022-10-26T15:13:30.350334Z", + "shell.execute_reply": "2022-10-26T15:13:30.349005Z", + "shell.execute_reply.started": "2022-10-26T15:13:30.118808Z" }, "tags": [] }, @@ -107,7 +107,7 @@ "dict1 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", - "filename = 'data/134_221021.csv'\n", + "filename = 'data/134_2210.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -142,15 +142,15 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 31, "id": "38397ad4-2bb3-4b5e-8ece-9ea11e801890", "metadata": { "execution": { - "iopub.execute_input": "2022-10-24T01:28:35.781995Z", - "iopub.status.busy": "2022-10-24T01:28:35.781432Z", - "iopub.status.idle": "2022-10-24T01:28:36.097993Z", - "shell.execute_reply": "2022-10-24T01:28:36.097009Z", - "shell.execute_reply.started": "2022-10-24T01:28:35.781947Z" + "iopub.execute_input": "2022-10-26T15:14:26.661745Z", + "iopub.status.busy": "2022-10-26T15:14:26.661218Z", + "iopub.status.idle": "2022-10-26T15:14:27.250915Z", + "shell.execute_reply": "2022-10-26T15:14:27.249692Z", + "shell.execute_reply.started": "2022-10-26T15:14:26.661696Z" }, "tags": [] }, @@ -160,7 +160,7 @@ "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','车间/科室','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','车间/科室','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_天津.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", @@ -181,14 +181,14 @@ " for item in items:\n", " if item in v.keys():\n", " list2.append(v[item]['成绩'])\n", - " list2.append(v[item]['得分'])\n", + " \n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('') \n", - " list2.append('') \n", + " \n", " list1.append(list2)\n", - "filename = 'data/天津石化得分情况表.xlsx'\n", + "filename = 'data/天津石化体测情况表（截至20221026）.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n",