From 48cb4d6187a96a232d82eebc283137966965bae3 Mon Sep 17 00:00:00 2001 From: 512song Date: Mon, 18 Sep 2023 19:46:01 +0800 Subject: [PATCH] 20230918 --- 体测单位/体测数据管理.ipynb | 8 +- 体测单位/北京农行.ipynb | 40 ++++-- 体测单位/天津石化.ipynb | 235 +++++++++++++++++++++++++++++++++++- 3 files changed, 267 insertions(+), 16 deletions(-) diff --git a/体测单位/体测数据管理.ipynb b/体测单位/体测数据管理.ipynb index 3bbc015..c9cdb79 100644 --- a/体测单位/体测数据管理.ipynb +++ b/体测单位/体测数据管理.ipynb @@ -152,7 +152,9 @@ "cell_type": "code", "execution_count": null, "id": "4b2b5d76-665f-4dfe-bbd3-5c80abd8c3e3", - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], "source": [ "from tencentcloud.common import credential\n", @@ -181,7 +183,7 @@ " print('no phone')\n", "print(dict2)\n", "\n", - "\n", + "#dict2 = {375: {'phone': '13793180751', 'code': '0379208'}}\n", "for k, v in dict2.items():\n", " phone = '+86'+v['phone']\n", " yzm = v['code']\n", @@ -207,7 +209,7 @@ " req.SessionContext = \"\"\n", " req.ExtendCode = \"\"\n", " req.SenderId = \"\"\n", - " #resp = client.SendSms(req)\n", + " resp = client.SendSms(req)\n", " dict3 = json.loads(resp.to_json_string(indent=2))\n", "\n", " print(v['phone'],dict3['SendStatusSet'][0][\"Message\"])\n", diff --git a/体测单位/北京农行.ipynb b/体测单位/北京农行.ipynb index 1c4efe8..1be8142 100644 --- a/体测单位/北京农行.ipynb +++ b/体测单位/北京农行.ipynb @@ -68,12 +68,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "fd73b8be-d3fe-49aa-99d2-3cc6df4a3eb0", "metadata": { + "execution": { + "iopub.execute_input": "2023-09-18T02:28:13.173784Z", + "iopub.status.busy": "2023-09-18T02:28:13.173377Z", + "iopub.status.idle": "2023-09-18T02:28:13.258454Z", + "shell.execute_reply": "2023-09-18T02:28:13.257893Z", + "shell.execute_reply.started": "2023-09-18T02:28:13.173753Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "523\n", + "523\n" + ] + } + ], "source": [ "import json\n", "import time\n", @@ -89,11 +105,11 @@ "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", - "filename = 'data/北京农行人员名单.json'\n", + "filename = 'data/北京农行人员名单all.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", - "filename = 'data/places_result_20230521.csv'\n", + "filename = 'data/places_result_20230918.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -113,6 +129,7 @@ " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[4])/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[5]\n", "print(len(re_ta))\n", "filename = 'data/result_北京农行.json'\n", "\n", @@ -131,9 +148,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "b870bd6e-f972-4073-b13d-5fda8cc92bb7", "metadata": { + "execution": { + "iopub.execute_input": "2023-09-18T02:33:35.544712Z", + "iopub.status.busy": "2023-09-18T02:33:35.544319Z", + "iopub.status.idle": "2023-09-18T02:33:35.710354Z", + "shell.execute_reply": "2023-09-18T02:33:35.709872Z", + "shell.execute_reply.started": "2023-09-18T02:33:35.544678Z" + }, "tags": [] }, "outputs": [], @@ -148,7 +172,7 @@ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", - "filename = 'data/北京农行人员名单.json'\n", + "filename = 'data/北京农行人员名单all.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", @@ -161,11 +185,13 @@ " list2.append(dict2[k]['unit'])\n", " for item in items:\n", " if item in v.keys():\n", - " list2.append(v[item]['成绩']) \n", + " list2.append(v[item]['成绩']) \n", + " list2.append(v[item]['得分']) \n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('') \n", + " list2.append('') \n", " list1.append(list2)\n", "filename = 'data/北京农行体测情况.xlsx'\n", "wb = openpyxl.Workbook()\n", diff --git a/体测单位/天津石化.ipynb b/体测单位/天津石化.ipynb index fb10753..1c01ac1 100644 --- a/体测单位/天津石化.ipynb +++ b/体测单位/天津石化.ipynb @@ -4,9 +4,7 @@ "cell_type": "markdown", "id": "e764be85-0ddf-4055-abd6-de2990e75db8", "metadata": { - "jp-MarkdownHeadingCollapsed": true, - "tags": [], - "toc-hr-collapsed": true + "tags": [] }, "source": [ "# 第一次体测" @@ -1506,12 +1504,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "25283932-c03a-4a34-a59d-314fc64d8fbd", "metadata": { + "execution": { + "iopub.execute_input": "2023-09-18T11:07:39.418682Z", + "iopub.status.busy": "2023-09-18T11:07:39.418211Z", + "iopub.status.idle": "2023-09-18T11:07:40.143672Z", + "shell.execute_reply": "2023-09-18T11:07:40.143214Z", + "shell.execute_reply.started": "2023-09-18T11:07:39.418645Z" + }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], "source": [ "import openpyxl\n", "import json\n", @@ -1576,10 +1589,220 @@ "print('ok')" ] }, + { + "cell_type": "markdown", + "id": "60f4831c-b44e-40d2-ad8a-d79079c071f9", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e26b88fc-c75b-4c1e-82ea-5017370afa9b", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-18T11:26:25.004900Z", + "iopub.status.busy": "2023-09-18T11:26:25.004403Z", + "iopub.status.idle": "2023-09-18T11:26:25.065113Z", + "shell.execute_reply": "2023-09-18T11:26:25.064139Z", + "shell.execute_reply.started": "2023-09-18T11:26:25.004862Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "184\n", + "184\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", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/天津石化人员名单2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/places_result_20230918.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[2])\n", + " if user in dict1.keys(): \n", + " m_item = str(result[3]) \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[4])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + "print(len(re_ta))\n", + "filename = 'data/result_天津2023.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl, ensure_ascii=False) \n", + "print(len(re_ta))" + ] + }, + { + "cell_type": "markdown", + "id": "43bd1127-fa76-4c1e-8890-4bb47b28ecdf", + "metadata": {}, + "source": [ + "## 导出测试人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0a6ea33d-c112-4ed8-9366-3376e55a5731", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-18T11:19:24.311567Z", + "iopub.status.busy": "2023-09-18T11:19:24.311099Z", + "iopub.status.idle": "2023-09-18T11:19:24.414514Z", + "shell.execute_reply": "2023-09-18T11:19:24.414032Z", + "shell.execute_reply.started": "2023-09-18T11:19:24.311530Z" + }, + "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','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", + "\n", + "filename = 'data/result_天津2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/天津石化人员名单2023.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", + " 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/天津石化体测情况（截至20230918）.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": "4a53db48-365e-4056-8468-bbc829e83682", + "metadata": {}, + "source": [ + "## 统计各部门测试情况" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "3f47ee9d-e520-4141-9e44-084f61d19590", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-18T11:35:14.320583Z", + "iopub.status.busy": "2023-09-18T11:35:14.320133Z", + "iopub.status.idle": "2023-09-18T11:35:14.372395Z", + "shell.execute_reply": "2023-09-18T11:35:14.371056Z", + "shell.execute_reply.started": "2023-09-18T11:35:14.320547Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'消防支队': 92, '电仪部': 350, '水务部': 441, '烯烃部': 359, '热电部': 498, '炼油部': 1271, '化工部': 608, '运输销售部': 225, '化验计量部': 503, '南港烯烃部': 779, '公司机关': 402, '信息档案管理中心': 70, '装备研究院': 57, '原油储运部': 203, '党委党校（培训中心）': 79, '研究院': 110, '南港乙烯项目管理部': 70, '行政事务中心': 133, '聚醚部': 153, '物资采购中心': 198}\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/result_天津2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "filename = 'data/天津石化人员名单2023.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "\n", + "dict3 = {}\n", + "for k, v in dict2.items():\n", + " unit = v['unit']\n", + " dict3.setdefault(unit,0)\n", + " dict3[unit] = dict3[unit] + 1\n", + "print(dict3)\n", + "title =['单位','体测人数']\n", + "list1 = []\n", + "for k,v in dict1.items(): \n", + " unit = v['unit']\n", + " dict3[unit] = dict3[unit] - 1\n", + " \n", + "for k, v in dict3.items():\n", + " list2 = [k,v]\n", + " list1.append(list2)\n", + "\n", + "filename = 'data/天津部门未测试情况（截至20230918）.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": "fc8fa610-9c61-4baa-a1cc-901aef9f421c", + "id": "589a5d44-605d-41a1-a981-7ec7258305ed", "metadata": {}, "outputs": [], "source": []