diff --git a/体测单位/北京农行.ipynb b/体测单位/北京农行.ipynb index 7f9cebe..4871202 100644 --- a/体测单位/北京农行.ipynb +++ b/体测单位/北京农行.ipynb @@ -5,7 +5,8 @@ "id": "4626da6c-d228-4270-8d8d-c98784a106ad", "metadata": { "jp-MarkdownHeadingCollapsed": true, - "tags": [] + "tags": [], + "toc-hr-collapsed": true }, "source": [ "# 第一次体测" @@ -492,7 +493,10 @@ { "cell_type": "markdown", "id": "59d38404-e097-4f08-a3fd-565e351f09bb", - "metadata": {}, + "metadata": { + "tags": [], + "toc-hr-collapsed": true + }, "source": [ "# 第二次体测" ] @@ -869,517 +873,12 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": null, "id": "80a85fcd-0597-4b58-898f-de420239919f", "metadata": { - "execution": { - "iopub.execute_input": "2023-09-22T14:57:53.531033Z", - "iopub.status.busy": "2023-09-22T14:57:53.530490Z", - "iopub.status.idle": "2023-09-22T14:57:53.701919Z", - "shell.execute_reply": "2023-09-22T14:57:53.701448Z", - "shell.execute_reply.started": "2023-09-22T14:57:53.530993Z" - }, "tags": [] }, - 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os,sys,shutil\n", "import json\n", @@ -1469,10 +953,693 @@ "print('ok')" ] }, + { + "cell_type": "markdown", + "id": "d71a24d1-ab29-4852-9bfc-384deb8f57a5", + "metadata": {}, + "source": [ + "# 数据分析" + ] + }, + { + "cell_type": "markdown", + "id": "d70ab6c9-4fb7-4f0d-864d-96e0ce05fb64", + "metadata": {}, + "source": [ + "## 获取清理后数据" + ] + }, { "cell_type": "code", "execution_count": null, - "id": "e3744d35-930d-4f18-9b11-cb8b09882461", + "id": "ac3b256e-7470-4cfa-b2ee-eb1110c9097c", + "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", + "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", + "re_ta = {}\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/places_result_20230922-1695356859947.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", + " \n", + " re_ta[user]['sex'] = dict1[user]['sex']\n", + " re_ta[user]['birth'] = dict1[user]['birth'].replace('-','/')\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", + " re_ta[user][item_name]['得分'] =result[5]\n", + "\n", + "print(len(re_ta))\n", + "liwai = []\n", + "for k, v in re_ta.items():\n", + " if (len(v)<8 and '身高' in v and '体重' in v) or (len(v)<7 and '身高' not in v and '体重' not in v) :\n", + " liwai.append(k)\n", + "print(liwai)\n", + "for k in liwai:\n", + " del re_ta[k]\n", + "print(len(re_ta))\n", + "filename = 'data/result_北京农行all.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl, ensure_ascii=False) \n", + "print('ok')\n", + "print(len(re_ta))" + ] + }, + { + "cell_type": "markdown", + "id": "43c0dad1-9b96-4480-ae3d-d7fb4a2a8df5", + "metadata": {}, + "source": [ + "## 计算人员年龄" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "567f512c-2f8a-4441-99c1-f091b40dfd3b", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T09:11:03.405894Z", + "iopub.status.busy": "2023-09-23T09:11:03.405430Z", + "iopub.status.idle": "2023-09-23T09:11:03.475250Z", + "shell.execute_reply": "2023-09-23T09:11:03.474127Z", + "shell.execute_reply.started": "2023-09-23T09:11:03.405856Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "import datetime\n", + "\n", + "filename = 'data/result_北京农行all.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "for k, v in dict1.items():\n", + " #print(k,v)\n", + " if '.' in v['birth']:\n", + " birth = v['birth'].split()[0].split('.')\n", + " else:\n", + " birth = v['birth'].split()[0].split('/')\n", + " \n", + " nian = int(birth[0].strip())\n", + " yue = int(birth[1].strip())\n", + " ri = int(birth[2].strip())\n", + " #print(k,nian,yue,ri)\n", + " if int(k) < 199:\n", + " days = (datetime.date(2023, 5, 11)-datetime.date(nian,yue,ri)).days\n", + " else:\n", + " days = (datetime.date(2023, 8, 24)-datetime.date(nian,yue,ri)).days\n", + " v['age'] = int(days/365)\n", + "filename = 'data/result_北京农行all.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False) \n", + "print('ok') " + ] + }, + { + "cell_type": "markdown", + "id": "7b2974f0-8b5e-40b9-a872-b0df27097096", + "metadata": {}, + "source": [ + "## 汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "576f9b57-237f-4376-b795-122a4cd2222a", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "\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", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k,v in dict1.items():\n", + " print(k)\n", + " score = 0\n", + " i = 0 \n", + " for k1,v1 in v.items(): \n", + " if k1 in items:\n", + " score = score + int(v1['得分'])\n", + " i+=1\n", + " dict1[k]['score'] = round(score/i,2) \n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "0fd37ce2-f965-4a46-8207-c5ce9a7b426a", + "metadata": {}, + "source": [ + "## 计算测试等级" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "ec2773cb-16ff-4957-aa51-627bfe0caf95", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T08:20:11.144070Z", + "iopub.status.busy": "2023-09-23T08:20:11.143557Z", + "iopub.status.idle": "2023-09-23T08:20:11.211460Z", + "shell.execute_reply": "2023-09-23T08:20:11.210353Z", + "shell.execute_reply.started": "2023-09-23T08:20:11.144030Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0~255分人数：107人,男性：60人,女性:47人\n", + "256~332分人数：229人,男性：83人,女性:146人\n", + "333~367分人数：128人,男性：35人,女性:93人\n", + "368~500分人数：58人,男性：16人,女性:42人\n", + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "dict2 = {}\n", + "dict2['不合格'] = [0,255]\n", + "dict2['合格'] = [256,332]\n", + "dict2['良好'] = [333,367]\n", + "dict2['优秀'] = [368,500]\n", + "\n", + "for k1, v1 in dict2.items():\n", + " di = v1[0]\n", + " gao = v1[1]\n", + " i = 0 \n", + " m = 0\n", + " f = 0\n", + " for k,v in dict1.items():\n", + " if int(v['score']*100) in range(di,gao+1):\n", + " dict1[k]['level'] = k1\n", + " i+=1\n", + " if v['sex'] == '男':\n", + " m = m +1\n", + " else:\n", + " f = f+1\n", + " print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict1, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "058f29fc-6de5-42b6-ba07-95d39e014418", + "metadata": {}, + "source": [ + "## 根据年龄汇总人员信息及成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "c605482a-3aa5-46ff-8648-2675408470a8", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T09:11:19.016454Z", + "iopub.status.busy": "2023-09-23T09:11:19.015975Z", + "iopub.status.idle": "2023-09-23T09:11:19.033986Z", + "shell.execute_reply": "2023-09-23T09:11:19.033423Z", + "shell.execute_reply.started": "2023-09-23T09:11:19.016418Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.74分，人数：40人,男性：16人\n", + "25~29岁平均成绩：2.98分，人数：102人,男性：48人\n", + "30~34岁平均成绩：2.98分，人数：107人,男性：38人\n", + "35~39岁平均成绩：3.1分，人数：95人,男性：27人\n", + "40~44岁平均成绩：3.19分，人数：37人,男性：14人\n", + "45~49岁平均成绩：3.13分，人数：66人,男性：23人\n", + "50~54岁平均成绩：3.07分，人数：60人,男性：13人\n", + "55~69岁平均成绩：2.85分，人数：15人,男性：15人\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for item in nld:\n", + " di = item[0]\n", + " gao = item[1]\n", + " i = 0\n", + " score = 0\n", + " m = 0\n", + " f = 0\n", + " for k,v in dict1.items():\n", + " if v['age'] in range(di,gao+1):\n", + " score = score+v['score']\n", + " i+=1\n", + " if v['sex'] == '男':\n", + " m = m +1\n", + " \n", + " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')" + ] + }, + { + "cell_type": "markdown", + "id": "8a15ed82-93bb-4e25-a59e-2358c4d47ca5", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩（男）" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "a75f1748-444a-4b0f-a38c-79d814a16ae0", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T09:11:22.695232Z", + "iopub.status.busy": "2023-09-23T09:11:22.694925Z", + "iopub.status.idle": "2023-09-23T09:11:22.717627Z", + "shell.execute_reply": "2023-09-23T09:11:22.716976Z", + "shell.execute_reply.started": "2023-09-23T09:11:22.695205Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.75分，人数：16人\n", + "25~29岁平均成绩：2.85分，人数：48人\n", + "30~34岁平均成绩：2.81分，人数：38人\n", + "35~39岁平均成绩：3.01分，人数：27人\n", + "40~44岁平均成绩：2.99分，人数：14人\n", + "45~49岁平均成绩：2.88分，人数：23人\n", + "50~54岁平均成绩：2.87分，人数：13人\n", + "55~80岁平均成绩：2.85分，人数：15人\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for item in nld:\n", + " di = item[0]\n", + " gao = item[1]\n", + " i = 0\n", + " score = 0\n", + " m = 0\n", + " f = 0\n", + " for k,v in dict1.items():\n", + " if v['age'] in range(di,gao+1) and v['sex'] == '男':\n", + " score = score+v['score']\n", + " i+=1\n", + " if i >0:\n", + " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')\n", + " else:\n", + " print(f'{di}~{gao}岁平均成绩：0分，人数：0人') " + ] + }, + { + "cell_type": "markdown", + "id": "9840c5a8-2a06-4d7b-91f5-d3c2d43d1d02", + "metadata": {}, + "source": [ + "### 根据年龄汇总人员信息及成绩（女）" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "d735d1e2-02d3-4768-a5eb-22792791ca23", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T09:11:26.628891Z", + "iopub.status.busy": "2023-09-23T09:11:26.628391Z", + "iopub.status.idle": "2023-09-23T09:11:26.652254Z", + "shell.execute_reply": "2023-09-23T09:11:26.651303Z", + "shell.execute_reply.started": "2023-09-23T09:11:26.628854Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20~24岁平均成绩：2.73分，人数：24人\n", + "25~29岁平均成绩：3.1分，人数：54人\n", + "30~34岁平均成绩：3.07分，人数：69人\n", + "35~39岁平均成绩：3.14分，人数：68人\n", + "40~44岁平均成绩：3.31分，人数：23人\n", + "45~49岁平均成绩：3.27分，人数：43人\n", + "50~54岁平均成绩：3.13分，人数：47人\n", + "55~80岁平均成绩：0分，人数：0人\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "for item in nld:\n", + " di = item[0]\n", + " gao = item[1]\n", + " i = 0\n", + " score = 0\n", + " m = 0\n", + " f = 0\n", + " for k,v in dict1.items():\n", + " if v['age'] in range(di,gao+1) and v['sex'] == '女':\n", + " score = score+v['score']\n", + " i+=1\n", + " if i >0:\n", + " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')\n", + " else:\n", + " print(f'{di}~{gao}岁平均成绩：0分，人数：0人') " + ] + }, + { + "cell_type": "markdown", + "id": "f4a02b1d-2468-4430-8f55-3ffaf07efd34", + "metadata": {}, + "source": [ + "## 计算平均成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "fc897a81-7727-4f37-8ab3-8e9de72855d6", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T08:23:38.968301Z", + "iopub.status.busy": "2023-09-23T08:23:38.968098Z", + "iopub.status.idle": "2023-09-23T08:23:38.980306Z", + "shell.execute_reply": "2023-09-23T08:23:38.979851Z", + "shell.execute_reply.started": "2023-09-23T08:23:38.968286Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "平均成绩：2.8683分，男性：194人\n", + "平均成绩：3.1148分，女性：328人\n", + "平均成绩：3.0232分，总体：522人\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", + "#filename = 'data/result_石家庄.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "i = 1\n", + "m = 0\n", + "f = 0\n", + "score = 0\n", + "t_score = 0\n", + "for k,v in dict1.items():\n", + " if v['sex'] == '男':\n", + " m = m +1\n", + " score = score+v['score']\n", + "print(f'平均成绩：{round(score/m,4)}分，男性：{m}人')\n", + "t_score = t_score + score\n", + "score = 0\n", + "for k,v in dict1.items():\n", + " if v['sex'] == '女':\n", + " f = f +1\n", + " score = score+v['score']\n", + "print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')\n", + "t_score = t_score + score\n", + "print(f'平均成绩：{round(t_score/522,4)}分，总体：522人')" + ] + }, + { + "cell_type": "markdown", + "id": "f4911bde-1a29-4fdf-a7f7-4ebef0905936", + "metadata": {}, + "source": [ + "## 计算各年龄段测试等级(女）" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "43c8fd61-4bdb-4d8e-8061-f4f186bd1845", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T09:11:32.394933Z", + "iopub.status.busy": "2023-09-23T09:11:32.394468Z", + "iopub.status.idle": "2023-09-23T09:11:32.420499Z", + "shell.execute_reply": "2023-09-23T09:11:32.419180Z", + "shell.execute_reply.started": "2023-09-23T09:11:32.394896Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20-24 {'良好': 1, '合格': 15, '不合格': 7, '优秀': 1}\n", + "25-29 {'合格': 25, '良好': 19, '不合格': 7, '优秀': 3}\n", + "30-34 {'合格': 31, '不合格': 11, '优秀': 8, '良好': 19}\n", + "35-39 {'合格': 31, '不合格': 10, '良好': 15, '优秀': 12}\n", + "40-44 {'良好': 10, '合格': 7, '优秀': 4, '不合格': 2}\n", + "45-49 {'优秀': 6, '合格': 18, '良好': 16, '不合格': 3}\n", + "50-54 {'不合格': 7, '合格': 19, '优秀': 8, '良好': 13}\n", + "55-80 {'良好': 0, '合格': 0, '不合格': 0, '优秀': 0}\n" + ] + } + ], + "source": [ + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "dict2 = {}\n", + "dict2['不合格'] = [0,255]\n", + "dict2['合格'] = [256,332]\n", + "dict2['良好'] = [333,367]\n", + "dict2['优秀'] = [368,500]\n", + "dict3 = {}\n", + "for item in nld:\n", + " di = item[0]\n", + " gao = item[1]\n", + " age = f'{di}-{gao}'\n", + " dict3.setdefault(age,{})\n", + " i = 0 \n", + " m = 0\n", + " f = 0\n", + " for k,v in dict1.items():\n", + " if v['age'] in range(di,gao+1): \n", + " dict3[age].setdefault(v['level'],0)\n", + " if v['sex'] == '女':\n", + " dict3[age][v['level']] = dict3[age][v['level']]+1\n", + " \n", + "for k, v in dict3.items():\n", + " print(k,v)" + ] + }, + { + "cell_type": "markdown", + "id": "6b5d0882-6c64-4e39-813b-a4c3ebb98006", + "metadata": {}, + "source": [ + "## 计算各年龄段测试等级(男）" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "aefe62b7-8fcf-43e0-a525-a8584b064167", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T09:20:16.478192Z", + "iopub.status.busy": "2023-09-23T09:20:16.477735Z", + "iopub.status.idle": "2023-09-23T09:20:16.503089Z", + "shell.execute_reply": "2023-09-23T09:20:16.501855Z", + "shell.execute_reply.started": "2023-09-23T09:20:16.478154Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "20-24 {'良好': 3, '合格': 7, '不合格': 6, '优秀': 0}\n", + "25-29 {'合格': 22, '良好': 8, '不合格': 15, '优秀': 3}\n", + "30-34 {'合格': 16, '不合格': 12, '优秀': 3, '良好': 7}\n", + "35-39 {'合格': 12, '不合格': 7, '良好': 4, '优秀': 4}\n", + "40-44 {'良好': 3, '合格': 5, '优秀': 2, '不合格': 4}\n", + "45-49 {'优秀': 1, '合格': 10, '良好': 5, '不合格': 7}\n", + "50-54 {'不合格': 4, '合格': 5, '优秀': 2, '良好': 2}\n", + "55-80 {'良好': 3, '合格': 6, '不合格': 5, '优秀': 1}\n" + ] + } + ], + "source": [ + "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n", + "\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "dict2 = {}\n", + "dict2['不合格'] = [0,255]\n", + "dict2['合格'] = [256,332]\n", + "dict2['良好'] = [333,367]\n", + "dict2['优秀'] = [368,500]\n", + "dict3 = {}\n", + "for item in nld:\n", + " di = item[0]\n", + " gao = item[1]\n", + " age = f'{di}-{gao}'\n", + " dict3.setdefault(age,{})\n", + " i = 0 \n", + " m = 0\n", + " f = 0\n", + " for k,v in dict1.items():\n", + " if v['age'] in range(di,gao+1): \n", + " dict3[age].setdefault(v['level'],0)\n", + " if v['sex'] == '男':\n", + " dict3[age][v['level']] = dict3[age][v['level']]+1\n", + " \n", + "for k, v in dict3.items():\n", + " print(k,v)" + ] + }, + { + "cell_type": "markdown", + "id": "446217a9-4805-4627-a904-ca734e348433", + "metadata": {}, + "source": [ + "## 计算各项目成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "23b7518c-7434-467d-8d38-642f78bde7d9", + "metadata": { + "execution": { + "iopub.execute_input": "2023-09-23T08:25:08.604892Z", + "iopub.status.busy": "2023-09-23T08:25:08.604367Z", + "iopub.status.idle": "2023-09-23T08:25:08.629527Z", + "shell.execute_reply": "2023-09-23T08:25:08.628314Z", + "shell.execute_reply.started": "2023-09-23T08:25:08.604852Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "体重 3.8 517\n", + "肺活量 3.73 518\n", + "握力 1.88 519\n", + "坐位体前屈 2.93 503\n", + "纵跳 2.54 505\n", + "俯卧撑 3.64 184\n", + "一分钟仰卧起坐 4.29 303\n", + "单脚站立 2.57 514\n", + "选择反应时 3.19 488\n", + "台阶指数 2.57 486\n" + ] + } + ], + "source": [ + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \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", + "for item in items:\n", + " score = 0\n", + " n = 0\n", + " for k, v in dict1.items():\n", + " if item in v.keys():\n", + " n = n + 1\n", + " score =score + int(v[item]['得分'])\n", + " print(item,round(score/n,2),n)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88b726b3-16db-4df5-af9d-24409934593f", "metadata": {}, "outputs": [], "source": [] diff --git a/体测单位/天津石化.ipynb b/体测单位/天津石化.ipynb index ec0f7ce..52fa677 100644 --- a/体测单位/天津石化.ipynb +++ b/体测单位/天津石化.ipynb @@ -1600,15 +1600,15 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 72, "id": "e26b88fc-c75b-4c1e-82ea-5017370afa9b", "metadata": { "execution": { - "iopub.execute_input": "2023-09-22T12:48:02.492251Z", - "iopub.status.busy": "2023-09-22T12:48:02.491779Z", - "iopub.status.idle": "2023-09-22T12:48:02.582589Z", - "shell.execute_reply": "2023-09-22T12:48:02.582064Z", - "shell.execute_reply.started": "2023-09-22T12:48:02.492220Z" + "iopub.execute_input": "2023-09-25T12:16:50.686993Z", + "iopub.status.busy": "2023-09-25T12:16:50.686526Z", + "iopub.status.idle": "2023-09-25T12:16:50.830153Z", + "shell.execute_reply": "2023-09-25T12:16:50.829708Z", + "shell.execute_reply.started": "2023-09-25T12:16:50.686957Z" }, "tags": [] }, @@ -1617,8 +1617,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "1512\n", - "1512\n" + "1802\n", + "1802\n" ] } ], @@ -1641,7 +1641,7 @@ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", - "filename = 'data/places_result_202309222047.csv'\n", + "filename = 'data/places_result_20230925.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", @@ -1680,15 +1680,15 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 73, "id": "0a6ea33d-c112-4ed8-9366-3376e55a5731", "metadata": { "execution": { - "iopub.execute_input": "2023-09-22T12:18:51.920834Z", - "iopub.status.busy": "2023-09-22T12:18:51.920426Z", - "iopub.status.idle": "2023-09-22T12:18:52.332209Z", - "shell.execute_reply": "2023-09-22T12:18:52.331732Z", - "shell.execute_reply.started": "2023-09-22T12:18:51.920803Z" + "iopub.execute_input": "2023-09-25T12:17:04.814027Z", + "iopub.status.busy": "2023-09-25T12:17:04.813631Z", + "iopub.status.idle": "2023-09-25T12:17:05.300904Z", + "shell.execute_reply": "2023-09-25T12:17:05.300403Z", + "shell.execute_reply.started": "2023-09-25T12:17:04.813996Z" }, "tags": [] }, @@ -1724,7 +1724,7 @@ " else:\n", " list2.append('') \n", " list1.append(list2)\n", - "filename = 'data/天津石化体测情况（截至20230922）.xlsx'\n", + "filename = 'data/天津石化体测情况（截至20230925）.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -1744,15 +1744,15 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 74, "id": "589a5d44-605d-41a1-a981-7ec7258305ed", "metadata": { "execution": { - "iopub.execute_input": "2023-09-22T13:13:20.386490Z", - "iopub.status.busy": "2023-09-22T13:13:20.386276Z", - "iopub.status.idle": "2023-09-22T13:13:20.415182Z", - "shell.execute_reply": "2023-09-22T13:13:20.414705Z", - "shell.execute_reply.started": "2023-09-22T13:13:20.386467Z" + "iopub.execute_input": "2023-09-25T12:17:14.348675Z", + "iopub.status.busy": "2023-09-25T12:17:14.348469Z", + "iopub.status.idle": "2023-09-25T12:17:14.428313Z", + "shell.execute_reply": "2023-09-25T12:17:14.427837Z", + "shell.execute_reply.started": "2023-09-25T12:17:14.348661Z" }, "tags": [] }, @@ -1789,7 +1789,7 @@ " list2 = [k,v['人数']]\n", " list1.append(list2)\n", "\n", - "filename = 'data/天津部门未测试情况（截至20230922）.xlsx'\n", + "filename = 'data/天津部门未测试情况（截至20230925）.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", @@ -1809,15 +1809,15 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 77, "id": "2f7c9847-f283-4a09-b385-2c7559be7c7e", "metadata": { "execution": { - "iopub.execute_input": "2023-09-22T12:19:17.809672Z", - "iopub.status.busy": "2023-09-22T12:19:17.809203Z", - "iopub.status.idle": "2023-09-22T12:19:17.895139Z", - "shell.execute_reply": "2023-09-22T12:19:17.894687Z", - "shell.execute_reply.started": "2023-09-22T12:19:17.809635Z" + "iopub.execute_input": "2023-09-25T12:25:08.512249Z", + "iopub.status.busy": "2023-09-25T12:25:08.511711Z", + "iopub.status.idle": "2023-09-25T12:25:08.594998Z", + "shell.execute_reply": "2023-09-25T12:25:08.594472Z", + "shell.execute_reply.started": "2023-09-25T12:25:08.512212Z" }, "tags": [] }, @@ -1833,8 +1833,8 @@ "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", - "unit_name = '炼油部'\n", - "rq = '20230922'\n", + "unit_name = '化工部'\n", + "rq = '20230925'\n", "list1 = []\n", "\n", "i = 1\n",