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512song committed 2025-11-19 19:44:42 +08:00
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commit 4f0f65a076
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体测单位/体质检测数据处理.ipynb
+203 -30
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@@ -946,27 +946,12 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": null,
"id": "02319955-7fb6-4791-ae45-55b03bdadd54",
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-17T14:25:08.413467Z",
"iopub.status.busy": "2025-11-17T14:25:08.412602Z",
"iopub.status.idle": "2025-11-17T14:25:08.498336Z",
"shell.execute_reply": "2025-11-17T14:25:08.497785Z",
"shell.execute_reply.started": "2025-11-17T14:25:08.413400Z"
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"outputs": [],
"source": [
"import os,sys,shutil\n",
"import json\n",
@@ -1656,7 +1641,7 @@
"import openpyxl\n",
"\n",
"\n",
"filename = 'data/result_镇海2025.json'\n",
"filename = 'data/result_北海2025.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
@@ -1684,7 +1669,6 @@
"for k, v in dict1.items():\n",
" list1 = []\n",
" mydata = {}\n",
" \n",
" id = str(k).rjust(8,\"0\")\n",
" mydata['unit'] = v['unit']\n",
" mydata['name'] = v['name']\n",
@@ -1709,7 +1693,7 @@
" mydata['score'] = round(score/len(mydata['fits']),2)\n",
" if len(mydata['fits']) >2:\n",
" dict2[str(k)] = mydata\n",
"filename = f'data/data_镇海2025.json'\n",
"filename = f'data/data_北海炼化2025.json'\n",
"with open(filename,'w') as fl:\n",
" json.dump(dict2,fl , ensure_ascii=False) \n",
"print(len(dict2)) "
@@ -1735,7 +1719,7 @@
"import json\n",
"\n",
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"filename = 'data/data_镇海2025.json'\n",
"filename = 'data/data_北海炼化2025.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"i = 1\n",
@@ -2108,7 +2092,7 @@
" score = 0\n",
" n = 0\n",
" for k, v in dict1.items():\n",
" if item == v['unit'] and v['sex'] == '女':\n",
" if item == v['unit'] and v['sex'] == '男':\n",
" score = score + v['score']\n",
" n = n +1 \n",
" if n>0:\n",
@@ -2179,9 +2163,7 @@
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/北海炼化人员2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict2 = json.load(fl)\n",
"\n",
"dict3 = {}\n",
"\n",
"for k, v in dict1.items():\n",
@@ -2202,6 +2184,196 @@
" print(k1,v1['score'],v1['count'])"
]
},
{
"cell_type": "markdown",
"id": "422a3a6e-468d-4092-9da0-3692814374ca",
"metadata": {},
"source": [
"## 统计班次成绩"
]
},
{
"cell_type": "code",
"execution_count": 123,
"id": "0cec9f15-91dd-49e5-9efd-96b6bac0a86f",
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-19T06:23:29.245390Z",
"iopub.status.busy": "2025-11-19T06:23:29.244814Z",
"iopub.status.idle": "2025-11-19T06:23:29.275383Z",
"shell.execute_reply": "2025-11-19T06:23:29.274885Z",
"shell.execute_reply.started": "2025-11-19T06:23:29.245323Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"白班 3.49 174\n",
"倒班 3.35 103\n",
"值班 3.4 18\n"
]
}
],
"source": [
"items = ['BMI','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/data_镇海2025.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"banci = []\n",
"for k, v in dict1.items():\n",
" if v['banci'] not in banci:\n",
" banci.append(v['banci'])\n",
"\n",
"for item in banci:\n",
" score = 0\n",
" n = 0\n",
" for k, v in dict1.items():\n",
" if item == v['banci'] and v['sex'] == '女':\n",
" score = score + v['score']\n",
" n = n +1 \n",
" print(item,round(score/n,2),n)"
]
},
{
"cell_type": "markdown",
"id": "d0266733-3d7a-4903-952b-6ed9a6b45961",
"metadata": {},
"source": [
"## 统计班次测试等级"
]
},
{
"cell_type": "code",
"execution_count": 125,
"id": "127016d1-9aba-45bb-8205-4f4f424eb02e",
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-19T06:26:04.003109Z",
"iopub.status.busy": "2025-11-19T06:26:04.002545Z",
"iopub.status.idle": "2025-11-19T06:26:04.016810Z",
"shell.execute_reply": "2025-11-19T06:26:04.015641Z",
"shell.execute_reply.started": "2025-11-19T06:26:04.003053Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"白班 97 152 219 36\n",
"倒班 76 184 266 70\n",
"值班 43 60 61 5\n"
]
}
],
"source": [
"import json\n",
"\n",
"items = ['优秀','良好','合格','不合格'] \n",
"\n",
"dict3 = {}\n",
"for k, v in dict1.items():\n",
" banci = v['banci']\n",
" dict3.setdefault(banci,{})\n",
" for item in items:\n",
" dict3[banci].setdefault(item,0)\n",
"\n",
"for k, v in dict1.items():\n",
" banci = v['banci']\n",
" #dict3.setdefault(unit,{})\n",
" #for item in items:\n",
" #dict3[unit].setdefault(v['level'],0)\n",
" if v['sex'] =='男':\n",
" dict3[banci][v['level']] +=1\n",
"for k, v in dict3.items():\n",
" print(k,v['优秀'],v['良好'],v['合格'],v['不合格'])"
]
},
{
"cell_type": "code",
"execution_count": 126,
"id": "1b2ebf62-9bf6-4c44-b2ec-ed9393c3c355",
"metadata": {
"execution": {
"iopub.execute_input": "2025-11-19T06:27:20.183814Z",
"iopub.status.busy": "2025-11-19T06:27:20.183150Z",
"iopub.status.idle": "2025-11-19T06:27:20.228117Z",
"shell.execute_reply": "2025-11-19T06:27:20.227481Z",
"shell.execute_reply.started": "2025-11-19T06:27:20.183764Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"白班\n",
"BMI 2697 677\n",
"肺活量 2703 678\n",
"握力 1693 678\n",
"坐位体前屈 1901 676\n",
"纵跳 2435 675\n",
"俯卧撑 1978 497\n",
"一分钟仰卧起坐 722 169\n",
"单脚站立 2003 674\n",
"选择反应时 2289 673\n",
"台阶指数 1698 667\n",
"倒班\n",
"BMI 2571 699\n",
"肺活量 2727 698\n",
"握力 1794 698\n",
"坐位体前屈 1852 697\n",
"纵跳 2321 697\n",
"俯卧撑 2310 586\n",
"一分钟仰卧起坐 385 98\n",
"单脚站立 1921 693\n",
"选择反应时 2273 697\n",
"台阶指数 1749 691\n",
"值班\n",
"BMI 719 187\n",
"肺活量 701 187\n",
"握力 487 185\n",
"坐位体前屈 541 186\n",
"纵跳 666 187\n",
"俯卧撑 742 168\n",
"一分钟仰卧起坐 68 17\n",
"单脚站立 534 186\n",
"选择反应时 656 187\n",
"台阶指数 561 184\n"
]
}
],
"source": [
"import json\n",
"\n",
"items = ['BMI','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/data_镇海2025.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"\n",
"dict3 = {}\n",
"\n",
"for k, v in dict1.items():\n",
" unit = v['banci']\n",
" dict3.setdefault(unit,{})\n",
" for item in items:\n",
" dict3[unit].setdefault(item,{})\n",
" dict3[unit][item].setdefault('score',0)\n",
" dict3[unit][item].setdefault('count',0)\n",
" for k1,v1 in v['fits'].items():\n",
" if k1 in items:\n",
" dict3[unit][k1]['score']+=v1['score']\n",
" dict3[unit][k1]['count']+=1\n",
"\n",
"for k, v in dict3.items():\n",
" print(k)\n",
" for k1, v1 in v.items():\n",
" print(k1,v1['score'],v1['count'])"
]
},
{
"cell_type": "markdown",
"id": "bdb81e20-32ec-4e0e-b2ac-13dac2060068",
@@ -2584,7 +2756,7 @@
"import openpyxl\n",
"\n",
"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
"filename = 'data/result_新疆油田采油工艺研究院2511.json'\n",
"filename = 'data/result_北海2025-1.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"data_list = []\n",
@@ -2593,7 +2765,7 @@
" list6.append(str(k).rjust(4,'0'))\n",
" list6.append(v['name'])\n",
" list6.append(v['sex'])\n",
" #list6.append(v['unit'])\n",
" list6.append(v['unit'])\n",
" list6.append(v['age'])\n",
" if 'bmi' in v.keys():\n",
" bmi = v['bmi']['成绩']\n",
@@ -2666,10 +2838,11 @@
" list6.append('')\n",
" i+=1\n",
" data_list.append(list6)\n",
"filename = 'data/新疆油田采油工艺研究院情况明细表（202511）.xlsx'\n",
"filename = 'data/北海炼化情况明细表（2025年）.xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"#sheet.append(title)\n",
"title = ['编号', '姓名', '性别', '单位/部门', '年龄', '身高', '体重', 'bmi', '肺活量', '得分', '握力', '得分', '坐位体前屈', '得分', '纵跳', '得分', '俯卧撑', '得分', '单脚站立', '得分', '选择反应时', '得分', '台阶指数', '得分', '一分钟仰卧起坐', '得分', '中医体质', '是否倾向', '平和', '气虚', '阳虚', '阴虚', '痰湿', '湿热', '血瘀', '气郁', '特禀', '成就感', '愉快心理', '放松程度', '压力应对', '体力充沛', '情感充沛度', '颈椎', '胸椎', '腰椎', '骶尾椎']\n",
"sheet.append(title)\n",
"for row in data_list:\n",
" sheet.append(row)\n",
" \n",
@@ -2679,7 +2852,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "200d10a8-15a7-4ec9-b407-ffb06c0e19be",
"id": "4d77aad2-5ae6-42a6-b5ed-eecefcdbfa50",
"metadata": {},
"outputs": [],
"source": []