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512song committed 2024-10-21 21:56:27 +08:00
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体测单位/东营石油工程设计院.ipynb
+13 -12
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@@ -1193,24 +1193,24 @@
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "696682cf-54c0-46d5-9947-d2bee794f555",
"cell_type": "markdown",
"id": "f13c93bc-dc11-455f-b90f-07ebabfb0d5a",
"metadata": {},
"outputs": [],
"source": []
"source": [
"## 导出带得分体测情况明细表"
]
},
{
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"execution_count": 2,
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"outputs": [
@@ -1228,7 +1228,7 @@
"\n",
"items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
"bmi = ['height','weight']\n",
"title = ['编号','姓名','性别','单位/部门','身高','体重','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",
"title = ['编号','姓名','性别','年龄','单位/部门','身高','体重','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",
"\n",
"filename = 'data/result_东营工程设计院2024.json'\n",
"with open(filename,'r') as fl:\n",
@@ -1240,6 +1240,7 @@
" list2.append(str(k).rjust(5,'0'))\n",
" list2.append(dict1[k]['name']) \n",
" list2.append(dict1[k]['sex'])\n",
" list2.append(dict1[k]['age'])\n",
" list2.append(dict1[k]['unit'])\n",
" i = 0\n",
" if 'bmi' in dict1[k].keys():\n",
体测单位/体质检测数据处理.ipynb
+173 -123
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@@ -1690,15 +1690,15 @@
},
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@@ -1749,15 +1749,15 @@
},
{
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"id": "1b4a3f02-9b2e-41fc-ac6c-8163907a07f1",
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},
@@ -1766,11 +1766,11 @@
"name": "stdout",
"output_type": "stream",
"text": [
"0~255分人数：5人,男性：5人,女性:0人\n",
"256~332分人数：12人,男性：9人,女性:3人\n",
"333~367分人数：7人,男性：5人,女性:2人\n",
"368~500分人数：3人,男性：3人,女性:0人\n",
"27\n",
"0~255分人数：15人,男性：12人,女性:3人\n",
"256~332分人数：41人,男性：24人,女性:17人\n",
"333~367分人数：11人,男性：6人,女性:5人\n",
"368~500分人数：9人,男性：2人,女性:7人\n",
"76\n",
"ok\n"
]
}
@@ -1820,15 +1820,15 @@
},
{
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@@ -1837,14 +1837,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"20-24 {}\n",
"25-29 {}\n",
"30-34 {'良好': 0, '合格': 0, '不合格': 0}\n",
"35-39 {'合格': 2, '良好': 1, '不合格': 0}\n",
"40-44 {'合格': 0, '不合格': 0, '优秀': 0}\n",
"45-49 {'合格': 1, '良好': 1}\n",
"50-54 {'优秀': 0, '良好': 0, '合格': 0}\n",
"55-80 {}\n"
"20-24 {'不合格': 0, '合格': 3, '良好': 0}\n",
"25-29 {'不合格': 3, '合格': 7, '良好': 1, '优秀': 0}\n",
"30-34 {'良好': 1, '合格': 2, '优秀': 1}\n",
"35-39 {'良好': 2, '合格': 3, '优秀': 1}\n",
"40-44 {'良好': 0, '合格': 2, '优秀': 1, '不合格': 0}\n",
"45-49 {'优秀': 2, '合格': 0, '不合格': 0}\n",
"50-54 {'良好': 1, '优秀': 2, '合格': 0}\n",
"55-80 {'不合格': 0, '合格': 0}\n"
]
}
],
@@ -1887,15 +1887,15 @@
},
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@@ -1904,14 +1904,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"20-24 {}\n",
"25-29 {}\n",
"30-34 {'良好': 1, '合格': 1, '不合格': 1}\n",
"35-39 {'合格': 5, '良好': 1, '不合格': 2}\n",
"40-44 {'合格': 2, '不合格': 2, '优秀': 2}\n",
"45-49 {'合格': 0, '良好': 2}\n",
"50-54 {'优秀': 1, '良好': 1, '合格': 1}\n",
"55-80 {}\n"
"20-24 {'不合格': 2, '合格': 2, '良好': 2}\n",
"25-29 {'不合格': 5, '合格': 11, '良好': 1, '优秀': 1}\n",
"30-34 {'良好': 1, '合格': 1, '优秀': 0}\n",
"35-39 {'良好': 0, '合格': 2, '优秀': 0}\n",
"40-44 {'良好': 1, '合格': 2, '优秀': 0, '不合格': 2}\n",
"45-49 {'优秀': 1, '合格': 2, '不合格': 1}\n",
"50-54 {'良好': 1, '优秀': 0, '合格': 2}\n",
"55-80 {'不合格': 2, '合格': 2}\n"
]
}
],
@@ -1954,15 +1954,15 @@
},
{
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"id": "dafb86f8-5ee0-4c87-a98f-c7ff0f631fe5",
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@@ -1971,14 +1971,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"16~24岁平均成绩：0分，人数：0人,男性：0人\n",
"25~29岁平均成绩：0分，人数：0人,男性：0人\n",
"30~34岁平均成绩：2.99分，人数：3人,男性：3人\n",
"35~39岁平均成绩：2.83分，人数：11人,男性：8人\n",
"40~44岁平均成绩：2.93分，人数：6人,男性：6人\n",
"45~49岁平均成绩：3.48分，人数：4人,男性：2人\n",
"50~54岁平均成绩：3.32分，人数：3人,男性：3人\n",
"55~69岁平均成绩：0分，人数：0人,男性：0人\n"
"16~24岁平均成绩：2.78分，人数：9人,男性：6人\n",
"25~29岁平均成绩：2.72分，人数：29人,男性：18人\n",
"30~34岁平均成绩：3.3分，人数：6人,男性：2人\n",
"35~39岁平均成绩：3.08分，人数：8人,男性：2人\n",
"40~44岁平均成绩：2.87分，人数：8人,男性：5人\n",
"45~49岁平均成绩：3.24分，人数：6人,男性：4人\n",
"50~54岁平均成绩：3.54分，人数：6人,男性：3人\n",
"55~69岁平均成绩：2.62分，人数：4人,男性：4人\n"
]
}
],
@@ -2016,15 +2016,15 @@
},
{
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@@ -2033,14 +2033,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"20~24岁平均成绩：0分，人数：0人\n",
"25~29岁平均成绩：0分，人数：0人\n",
"30~34岁平均成绩：2.99分，人数：3人\n",
"35~39岁平均成绩：2.69分，人数：8人\n",
"40~44岁平均成绩：2.93分，人数：6人\n",
"45~49岁平均成绩：3.58分，人数：2人\n",
"50~54岁平均成绩：3.32分，人数：3人\n",
"55~80岁平均成绩：0分，人数：0人\n"
"20~24岁平均成绩：2.76分，人数：6人\n",
"25~29岁平均成绩：2.7分，人数：18人\n",
"30~34岁平均成绩：3.12分，人数：2人\n",
"35~39岁平均成绩：2.78分，人数：2人\n",
"40~44岁平均成绩：2.68分，人数：5人\n",
"45~49岁平均成绩：2.94分，人数：4人\n",
"50~54岁平均成绩：3.3分，人数：3人\n",
"55~80岁平均成绩：2.62分，人数：4人\n"
]
}
],
@@ -2078,15 +2078,15 @@
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@@ -2095,13 +2095,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
"20~24岁平均成绩：0分，人数：0人\n",
"25~29岁平均成绩：0分，人数：0人\n",
"30~34岁平均成绩：0分，人数：0人\n",
"35~39岁平均成绩：3.21分，人数：3人\n",
"40~44岁平均成绩：0分，人数：0人\n",
"45~49岁平均成绩：3.37分，人数：2人\n",
"50~54岁平均成绩：0分，人数：0人\n",
"20~24岁平均成绩：2.82分，人数：3人\n",
"25~29岁平均成绩：2.74分，人数：11人\n",
"30~34岁平均成绩：3.39分，人数：4人\n",
"35~39岁平均成绩：3.19分，人数：6人\n",
"40~44岁平均成绩：3.19分，人数：3人\n",
"45~49岁平均成绩：3.83分，人数：2人\n",
"50~54岁平均成绩：3.78分，人数：3人\n",
"55~80岁平均成绩：0分，人数：0人\n"
]
}
@@ -2138,15 +2138,15 @@
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@@ -2155,16 +2155,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
"BMI 3.54 26\n",
"肺活量 3.58 12\n",
"握力 3.07 27\n",
"坐位体前屈 2.6 25\n",
"纵跳 2.76 25\n",
"俯卧撑 2.9 21\n",
"一分钟仰卧起坐 4.0 4\n",
"单脚站立 3.11 27\n",
"选择反应时 3.92 26\n",
"台阶指数 1.84 25\n"
"BMI 3.95 76\n",
"肺活量 3.71 76\n",
"握力 1.79 76\n",
"坐位体前屈 1.96 75\n",
"纵跳 2.61 76\n",
"俯卧撑 3.8 41\n",
"一分钟仰卧起坐 3.72 32\n",
"单脚站立 2.67 76\n",
"选择反应时 3.22 76\n",
"台阶指数 2.71 75\n"
]
}
],
@@ -2192,15 +2192,15 @@
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@@ -2209,15 +2209,22 @@
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"text": [
"物探项目部 2.95 3\n",
"经营办公室 3.24 3\n",
"石油勘探项目部 2.91 7\n",
"天然气及风险勘探项目部 2.87 8\n",
"领导 2.25 1\n",
"副总师 2.62 1\n",
"综合办公室 3.65 2\n",
"西南地区科考项目部借调人员 3.67 1\n",
"安全生产办公室 3.78 1\n"
"节能环保工程技术中心 2.88 8\n",
"海洋工程设计所 2.74 6\n",
"工程监理公司 3.33 1\n",
"技术发展中心 2.67 1\n",
"综合服务中心 3.06 8\n",
"电力设计所 2.97 3\n",
"建筑设计所 3.0 3\n",
"管道工程设计所 2.62 12\n",
"工程勘察公司 2.97 9\n",
"智能化研究中心 2.87 8\n",
"机械设备设计所 3.09 7\n",
"自控通信设计所 3.44 1\n",
"档案管理中心 3.67 2\n",
"油气工艺设计所 3.36 4\n",
"水处理及热力工程设计所 2.28 2\n",
"运行管理部 3.0 1\n"
]
}
],
@@ -2275,9 +2282,17 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"id": "6f9768ce-2ef5-4253-9fc6-49dbdcf00a19",
"metadata": {},
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-16T06:02:27.816265Z",
"iopub.status.busy": "2024-10-16T06:02:27.815491Z",
"iopub.status.idle": "2024-10-16T06:02:27.826371Z",
"shell.execute_reply": "2024-10-16T06:02:27.825201Z",
"shell.execute_reply.started": "2024-10-16T06:02:27.816192Z"
}
},
"outputs": [],
"source": [
"import json\n",
@@ -2406,18 +2421,36 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"id": "1acaf159-637e-4101-9881-f6bb79400136",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-16T06:09:09.005052Z",
"iopub.status.busy": "2024-10-16T06:09:09.004252Z",
"iopub.status.idle": "2024-10-16T06:09:09.036024Z",
"shell.execute_reply": "2024-10-16T06:09:09.035535Z",
"shell.execute_reply.started": "2024-10-16T06:09:09.004974Z"
},
"tags": []
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[['39', '特禀', False, 68, 31, 32, 12, 28, 29, 17, 28, 42], ['38', '平和', False, 81, 15, 14, 9, 6, 12, 10, 3, 0], ['8', '痰湿', True, 81, 21, 7, 6, 31, 29, 17, 14, 0], ['48', '阳虚', False, 62, 18, 42, 15, 9, 0, 10, 3, 0], ['47', '湿热', False, 34, 43, 57, 50, 68, 70, 39, 57, 46], ['42', '痰湿', False, 37, 75, 67, 68, 96, 83, 67, 92, 67], ['63', '阴虚', True, 78, 18, 10, 37, 34, 25, 10, 3, 10], ['190', '阳虚', False, 56, 28, 50, 18, 31, 25, 14, 32, 17], ['5', '阳虚', False, 56, 46, 57, 40, 50, 45, 28, 39, 28], ['43', '平和', False, 68, 28, 0, 6, 9, 4, 28, 17, 3], ['64', '阳虚', False, 65, 21, 64, 9, 18, 29, 14, 14, 7], ['25', '气虚', True, 68, 31, 14, 18, 6, 12, 3, 7, 0], ['19', '阴虚', False, 68, 25, 25, 46, 46, 16, 17, 25, 32], ['18', '阳虚', False, 62, 18, 42, 25, 37, 37, 39, 3, 3], ['16', '平和', False, 81, 18, 0, 6, 3, 20, 7, 0, 14], ['56', '痰湿', False, 50, 50, 50, 50, 53, 50, 32, 42, 0], ['75', '平和', False, 90, 3, 10, 0, 0, 16, 10, 10, 0], ['76', '阳虚', False, 34, 53, 82, 46, 59, 70, 67, 50, 35], ['24', '气虚', True, 62, 34, 25, 25, 25, 25, 28, 25, 25], ['23', '平和', False, 93, 15, 10, 25, 18, 8, 7, 3, 0], ['46', '气虚', True, 71, 31, 28, 25, 25, 25, 25, 25, 25], ['10', '平和', False, 93, 0, 0, 0, 0, 0, 0, 0, 0], ['189', '痰湿', False, 75, 28, 0, 40, 62, 33, 46, 42, 17], ['9', '气郁', False, 59, 31, 7, 40, 12, 0, 42, 50, 39], ['191', '阳虚', False, 31, 50, 89, 25, 65, 58, 46, 67, 50], ['11', '气虚', False, 59, 46, 25, 3, 0, 0, 3, 10, 0], ['192', '血瘀', False, 46, 53, 53, 53, 50, 50, 57, 50, 50], ['49', '阳虚', False, 56, 25, 53, 9, 9, 4, 32, 28, 17], ['51', '阴虚', True, 68, 34, 28, 37, 31, 37, 7, 32, 14], ['62', '气郁', False, 46, 40, 32, 34, 34, 29, 39, 60, 39], ['3', '气郁', False, 56, 15, 14, 12, 18, 0, 7, 35, 14], ['83', '湿热', False, 68, 37, 10, 43, 53, 54, 35, 42, 28], ['194', '阳虚', False, 65, 37, 71, 25, 43, 25, 28, 21, 32], ['67', '阴虚', True, 78, 21, 7, 37, 34, 20, 17, 14, 10], ['84', '气虚', False, 50, 56, 53, 37, 37, 37, 39, 32, 14], ['82', '气郁', False, 53, 53, 42, 31, 43, 37, 57, 67, 17], ['80', '湿热', False, 53, 40, 46, 43, 28, 50, 28, 46, 14], ['79', '气虚', False, 71, 46, 25, 28, 43, 33, 21, 32, 14], ['78', '气虚', False, 50, 50, 50, 50, 50, 50, 50, 50, 50], ['195', '阳虚', True, 68, 18, 35, 31, 31, 8, 17, 28, 28], ['58', '气虚', False, 56, 53, 21, 43, 28, 25, 50, 35, 25], ['66', '痰湿', False, 53, 40, 39, 37, 50, 41, 35, 25, 39], ['65', '湿热', False, 65, 21, 25, 25, 43, 54, 21, 17, 42], ['32', '平和', False, 65, 25, 7, 28, 25, 8, 17, 17, 14], ['45', '湿热', False, 75, 21, 10, 34, 34, 58, 39, 32, 35], ['71', '痰湿', True, 62, 34, 28, 25, 37, 29, 21, 35, 28], ['54', '痰湿', False, 46, 40, 32, 18, 59, 20, 35, 39, 35], ['21', '平和', False, 100, 0, 0, 0, 0, 0, 0, 0, 0], ['68', '阳虚', False, 59, 25, 60, 15, 21, 25, 14, 21, 7], ['31', '阳虚', True, 71, 25, 39, 21, 21, 8, 21, 14, 28], ['44', '气虚', False, 62, 50, 39, 31, 25, 45, 7, 17, 14], ['29', '痰湿', False, 37, 50, 32, 50, 62, 45, 32, 46, 42], ['50', '阳虚', False, 78, 18, 42, 9, 21, 37, 3, 3, 32], ['34', '痰湿', False, 78, 31, 46, 40, 78, 37, 25, 50, 35], ['57', '阳虚', False, 43, 59, 64, 43, 46, 58, 42, 35, 35], ['200', '特禀', True, 81, 15, 7, 21, 15, 33, 17, 17, 35], ['12', '气虚', False, 50, 53, 50, 34, 46, 37, 28, 39, 28], ['13', '痰湿', False, 46, 56, 42, 46, 62, 50, 42, 42, 28]]\n",
"ok\n"
]
}
],
"source": [
"import openpyxl\n",
"\n",
"filename = 'data/result_东营工程设计院2024_all.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"i = 1\n",
"list2 = []\n",
"for k, v in dict1.items():\n",
" if 'tcm' in v.keys():\n",
" list1 = []\n",
@@ -2429,8 +2462,25 @@
" result = tcm_kind(score)\n",
" kind = result['kind']\n",
" near = result['near']\n",
" print(i,k,kinds[kind], near, score)\n",
" i+=1"
" #print(i,k,kinds[kind], near, score)\n",
" #i+=1\n",
" list3 = []\n",
" list3.append(k)\n",
" list3.append(kinds[kind])\n",
" list3.append(near)\n",
" for item in score:\n",
" list3.append(item)\n",
" list2.append(list3)\n",
"print(list2)\n",
"filename = 'data/东营工程设计院中医情况明细表.xlsx'\n",
"wb = openpyxl.Workbook()\n",
"sheet = wb.active\n",
"\n",
"for row in list2:\n",
" sheet.append(row)\n",
" \n",
"wb.save(filename)\n",
"print('ok') "
]
},
{
体测单位/天津石化.ipynb
+371 -1
View File
@@ -1492,6 +1492,7 @@
"cell_type": "markdown",
"id": "73524e7f-4262-46d3-a733-74ac18e43855",
"metadata": {
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
@@ -2850,6 +2851,374 @@
" "
]
},
{
"cell_type": "markdown",
"id": "08bcbf58-4356-4f30-850f-0d0ff0e2528b",
"metadata": {},
"source": [
"# 第三次体测（2024年10月）"
]
},
{
"cell_type": "markdown",
"id": "e439892b-fd46-4264-8f3c-202bc6388384",
"metadata": {},
"source": [
"## 体测人员导入"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "2fdbadd7-e9b1-45bf-ae95-52b4d65e03e8",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:06:26.974537Z",
"iopub.status.busy": "2024-10-21T10:06:26.973770Z",
"iopub.status.idle": "2024-10-21T10:06:27.568893Z",
"shell.execute_reply": "2024-10-21T10:06:27.568360Z",
"shell.execute_reply.started": "2024-10-21T10:06:26.974467Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import openpyxl\n",
"import json\n",
"\n",
"\n",
"wb = openpyxl.load_workbook('data/天津石化名单（2024年）.xlsx')\n",
"sheet = wb.active\n",
"# sheets = wb.sheetnames\n",
"person = {}\n",
"\n",
"for n in range(2, sheet.max_row+1):\n",
" code = int(sheet.cell(n, 1).value)\n",
" person.setdefault(code, {})\n",
" dict1 = {}\n",
" dict1['name'] = sheet.cell(n, 4).value\n",
" dict1['sex'] = sheet.cell(n, 6).value\n",
" dict1['unit'] = sheet.cell(n, 2).value\n",
" dict1['sub_unit'] = sheet.cell(n, 3).value\n",
" dict1['birth'] = str(sheet.cell(n, 7).value).replace('/','-').split(' ')[0] \n",
" #dict1['id'] = sheet.cell(n,5).value\n",
" person[code] = dict1\n",
"filename = 'data/天津石化人员2024.json'\n",
"with open(filename, 'w') as fl:\n",
" json.dump(person, fl, ensure_ascii=False)\n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "df164df9-66b9-44bf-871b-d137f2322648",
"metadata": {},
"source": [
"## 生成读卡系统文件"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "ddb84188-aafb-49b3-836d-79d9b13dfe35",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-14T05:51:16.063432Z",
"iopub.status.busy": "2024-10-14T05:51:16.062897Z",
"iopub.status.idle": "2024-10-14T05:51:16.111372Z",
"shell.execute_reply": "2024-10-14T05:51:16.110782Z",
"shell.execute_reply.started": "2024-10-14T05:51:16.063381Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"source": [
"import json\n",
"\n",
"filename = 'data/天津石化人员2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"list1 = []\n",
"for k, v in dict1.items():\n",
" dict2 = {}\n",
" #if dict1['sex'] =='男':\n",
" # sex = 1\n",
" \n",
" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
" list1.append(dict2)\n",
"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
"\n",
"# 将 json 数据写入文件\n",
"with open(\"data/data_天津石化人员2024.json\", \"w\",encoding = 'utf-8') as file:\n",
" file.write(json_data) \n",
"print('ok')"
]
},
{
"cell_type": "markdown",
"id": "8222893c-b6e6-47bf-9daa-81b8b7a1952c",
"metadata": {},
"source": [
"## 获取人员测试成绩"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "f922ad6a-e7ff-4ff9-923f-3e7aa8ea112b",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:06:44.171412Z",
"iopub.status.busy": "2024-10-21T10:06:44.170650Z",
"iopub.status.idle": "2024-10-21T10:06:44.271785Z",
"shell.execute_reply": "2024-10-21T10:06:44.271220Z",
"shell.execute_reply.started": "2024-10-21T10:06:44.171341Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1500\n",
"1500\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2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"\n",
"filename = 'data/places_result_20241021.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",
" re_ta[user]['sub_unit'] = dict1[user]['sub_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2024.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": "618e765d-c75d-4a46-9097-557e3c568123",
"metadata": {},
"source": [
"## 导出测试人员信息"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "f59cf12c-d409-4de8-80f9-8264e4a2d221",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:06:58.056883Z",
"iopub.status.busy": "2024-10-21T10:06:58.056217Z",
"iopub.status.idle": "2024-10-21T10:06:58.205426Z",
"shell.execute_reply": "2024-10-21T10:06:58.204917Z",
"shell.execute_reply.started": "2024-10-21T10:06:58.056824Z"
}
},
"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",
"\n",
"filename = 'data/result_天津2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/天津石化人员2024.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",
" list2.append(dict2[k]['sub_unit'])\n",
" list1.append(list2)\n",
"filename = 'data/天津石化体测情况（截至20241021）.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": "12837ccf-90a5-43cd-8201-2777aa6d3dd4",
"metadata": {},
"source": [
"## 统计各部门测试情况"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "8301201e-43fc-4d24-94a0-9c554ca39dfb",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:07:07.304706Z",
"iopub.status.busy": "2024-10-21T10:07:07.303931Z",
"iopub.status.idle": "2024-10-21T10:07:07.344670Z",
"shell.execute_reply": "2024-10-21T10:07:07.344247Z",
"shell.execute_reply.started": "2024-10-21T10:07:07.304631Z"
}
},
"outputs": [],
"source": [
"import json\n",
"\n",
"filename = 'data/result_天津2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/天津石化人员2024.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",
" #sub_unit = v['sub_unit']\n",
" dict3.setdefault(unit,{})\n",
" dict3[unit].setdefault('人数',0)\n",
" #dict3[unit].setdefault(sub_unit,0)\n",
" #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
" dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
"\n",
"title =['单位','体测人数']\n",
"list1 = []\n",
"for k,v in dict1.items(): \n",
" unit = v['unit']\n",
" #sub_unit = v['sub_unit']\n",
" #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n",
" dict3[unit]['人数'] = dict3[unit]['人数'] - 1\n",
"for k, v in dict3.items():\n",
" list2 = [k,v['人数']]\n",
" list1.append(list2)\n",
"\n",
"filename = 'data/天津部门未测试情况（截至20241021）.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": 8,
"id": "efff43f0-a5f8-4de8-9f79-9564bf4fbb63",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-17T09:21:23.875202Z",
"iopub.status.busy": "2024-10-17T09:21:23.874694Z",
"iopub.status.idle": "2024-10-17T09:21:23.909617Z",
"shell.execute_reply": "2024-10-17T09:21:23.908972Z",
"shell.execute_reply.started": "2024-10-17T09:21:23.875155Z"
}
},
"outputs": [],
"source": [
"import json\n",
"\n",
"filename = 'data/result_天津2024.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"filename = 'data/天津石化人员2024.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",
" #sub_unit = v['sub_unit']\n",
" dict3.setdefault(unit,{})\n",
" dict3[unit].setdefault('人数',0)\n",
" #dict3[unit].setdefault(sub_unit,0)\n",
" #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
" dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
"\n",
"title =['单位','体测人数']\n",
"list1 = []\n",
"\n",
"for k, v in dict3.items():\n",
" list2 = [k,v['人数']]\n",
" list1.append(list2)\n",
"\n",
"filename = 'data/天津部门人员情况.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": "85a03b00-9624-4ae9-aa6d-386798d457df",
@@ -2861,6 +3230,7 @@
"shell.execute_reply": "2023-10-25T02:50:57.004773Z",
"shell.execute_reply.started": "2023-10-25T02:50:56.997463Z"
},
"jp-MarkdownHeadingCollapsed": true,
"tags": []
},
"source": [
@@ -3866,7 +4236,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
"version": "3.12.3"
}
},
"nbformat": 4,
体测单位/镇海.ipynb
+834 -55
View File
@@ -536,26 +536,10 @@
},
{
"cell_type": "code",
"execution_count": 152,
"execution_count": null,
"id": "5cff3c83-b3cb-4c69-97a9-82e523374f6b",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-10T10:47:36.933057Z",
"iopub.status.busy": "2024-10-10T10:47:36.932336Z",
"iopub.status.idle": "2024-10-10T10:47:37.343139Z",
"shell.execute_reply": "2024-10-10T10:47:37.342525Z",
"shell.execute_reply.started": "2024-10-10T10:47:36.932987Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok\n"
]
}
],
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import openpyxl\n",
@@ -1020,10 +1004,26 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 12,
"id": "cccc2e43-7a73-48ec-8540-06b4d59f8ceb",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:23.050235Z",
"iopub.status.busy": "2024-10-21T10:23:23.049555Z",
"iopub.status.idle": "2024-10-21T10:23:23.136075Z",
"shell.execute_reply": "2024-10-21T10:23:23.135545Z",
"shell.execute_reply.started": "2024-10-21T10:23:23.050171Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ok!\n"
]
}
],
"source": [
"import json\n",
"import openpyxl\n",
@@ -1180,13 +1180,31 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 13,
"id": "d5721244-b5f5-4577-bae8-2e6c5bd8e4da",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:27.081228Z",
"iopub.status.busy": "2024-10-21T10:23:27.080518Z",
"iopub.status.idle": "2024-10-21T10:23:27.104743Z",
"shell.execute_reply": "2024-10-21T10:23:27.104057Z",
"shell.execute_reply.started": "2024-10-21T10:23:27.081162Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"平均成绩：3.1739分，男性：1074人\n",
"平均成绩：3.3303分，女性：291人\n",
"平均成绩：3.2072分，总体：1365人\n"
]
}
],
"source": [
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"filename = 'data/data_镇海_白班.json'\n",
"filename = 'data/data_镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"i = 1\n",
@@ -1220,10 +1238,31 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 14,
"id": "cff50f06-3221-4340-950f-3a24073b8565",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:29.218226Z",
"iopub.status.busy": "2024-10-21T10:23:29.217468Z",
"iopub.status.idle": "2024-10-21T10:23:29.285639Z",
"shell.execute_reply": "2024-10-21T10:23:29.285073Z",
"shell.execute_reply.started": "2024-10-21T10:23:29.218151Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0~255分人数：134人,男性：118人,女性:16人\n",
"256~332分人数：585人,男性：472人,女性:113人\n",
"333~367分人数：431人,男性：333人,女性:98人\n",
"368~500分人数：215人,男性：151人,女性:64人\n",
"1365\n",
"ok\n"
]
}
],
"source": [
"import json\n",
"\n",
@@ -1269,10 +1308,33 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 15,
"id": "6baf0ff2-cdfa-4396-bcf8-3e23a18670dc",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:31.844166Z",
"iopub.status.busy": "2024-10-21T10:23:31.843399Z",
"iopub.status.idle": "2024-10-21T10:23:31.870324Z",
"shell.execute_reply": "2024-10-21T10:23:31.869769Z",
"shell.execute_reply.started": "2024-10-21T10:23:31.844078Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20-24 {'良好': 29, '合格': 60, '优秀': 22, '不合格': 8}\n",
"25-29 {'良好': 24, '合格': 32, '不合格': 3, '优秀': 14}\n",
"30-34 {'不合格': 3, '优秀': 6, '合格': 11, '良好': 15}\n",
"35-39 {'合格': 5, '不合格': 2, '良好': 13, '优秀': 6}\n",
"40-44 {'良好': 6, '合格': 1, '优秀': 1, '不合格': 0}\n",
"45-49 {'良好': 8, '合格': 4, '优秀': 12, '不合格': 0}\n",
"50-54 {'良好': 3, '不合格': 0, '合格': 0, '优秀': 2}\n",
"55-80 {'优秀': 1, '合格': 0, '良好': 0, '不合格': 0}\n"
]
}
],
"source": [
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"\n",
@@ -1312,10 +1374,33 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 16,
"id": "2979cf80-5268-4754-ab8a-11a539315e92",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:34.098433Z",
"iopub.status.busy": "2024-10-21T10:23:34.097610Z",
"iopub.status.idle": "2024-10-21T10:23:34.122033Z",
"shell.execute_reply": "2024-10-21T10:23:34.121496Z",
"shell.execute_reply.started": "2024-10-21T10:23:34.098351Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20-24 {'良好': 97, '合格': 177, '优秀': 38, '不合格': 53}\n",
"25-29 {'良好': 57, '合格': 97, '不合格': 21, '优秀': 21}\n",
"30-34 {'不合格': 15, '优秀': 13, '合格': 43, '良好': 29}\n",
"35-39 {'合格': 57, '不合格': 11, '良好': 45, '优秀': 22}\n",
"40-44 {'良好': 27, '合格': 18, '优秀': 12, '不合格': 2}\n",
"45-49 {'良好': 26, '合格': 28, '优秀': 17, '不合格': 1}\n",
"50-54 {'良好': 33, '不合格': 10, '合格': 29, '优秀': 16}\n",
"55-80 {'优秀': 12, '合格': 23, '良好': 19, '不合格': 5}\n"
]
}
],
"source": [
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"\n",
@@ -1355,10 +1440,33 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"id": "8a7cb3b0-d7be-44ac-a1ec-40bdcf29e83b",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:36.388594Z",
"iopub.status.busy": "2024-10-21T10:23:36.387775Z",
"iopub.status.idle": "2024-10-21T10:23:36.412937Z",
"shell.execute_reply": "2024-10-21T10:23:36.412350Z",
"shell.execute_reply.started": "2024-10-21T10:23:36.388516Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"16~24岁平均成绩：3.11分，人数：484人,男性：365人\n",
"25~29岁平均成绩：3.16分，人数：269人,男性：196人\n",
"30~34岁平均成绩：3.15分，人数：135人,男性：100人\n",
"35~39岁平均成绩：3.3分，人数：161人,男性：135人\n",
"40~44岁平均成绩：3.39分，人数：67人,男性：59人\n",
"45~49岁平均成绩：3.48分，人数：96人,男性：72人\n",
"50~54岁平均成绩：3.29分，人数：93人,男性：88人\n",
"55~69岁平均成绩：3.27分，人数：60人,男性：59人\n"
]
}
],
"source": [
"nld = [[16,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]\n",
"\n",
@@ -1393,10 +1501,33 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 18,
"id": "c5bb03ca-b7ee-4564-b425-8513e1bff081",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:38.555474Z",
"iopub.status.busy": "2024-10-21T10:23:38.554694Z",
"iopub.status.idle": "2024-10-21T10:23:38.576757Z",
"shell.execute_reply": "2024-10-21T10:23:38.576066Z",
"shell.execute_reply.started": "2024-10-21T10:23:38.555406Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20~24岁平均成绩：3.08分，人数：365人\n",
"25~29岁平均成绩：3.1分，人数：196人\n",
"30~34岁平均成绩：3.1分，人数：100人\n",
"35~39岁平均成绩：3.27分，人数：135人\n",
"40~44岁平均成绩：3.39分，人数：59人\n",
"45~49岁平均成绩：3.4分，人数：72人\n",
"50~54岁平均成绩：3.27分，人数：88人\n",
"55~80岁平均成绩：3.25分，人数：59人\n"
]
}
],
"source": [
"import json\n",
"\n",
@@ -1431,10 +1562,33 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 19,
"id": "bf333998-230c-4365-aadc-b0d1be073b39",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:40.876326Z",
"iopub.status.busy": "2024-10-21T10:23:40.875552Z",
"iopub.status.idle": "2024-10-21T10:23:40.896760Z",
"shell.execute_reply": "2024-10-21T10:23:40.896214Z",
"shell.execute_reply.started": "2024-10-21T10:23:40.876254Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"20~24岁平均成绩：3.21分，人数：119人\n",
"25~29岁平均成绩：3.32分，人数：73人\n",
"30~34岁平均成绩：3.32分，人数：35人\n",
"35~39岁平均成绩：3.44分，人数：26人\n",
"40~44岁平均成绩：3.4分，人数：8人\n",
"45~49岁平均成绩：3.73分，人数：24人\n",
"50~54岁平均成绩：3.71分，人数：5人\n",
"55~80岁平均成绩：4.0分，人数：1人\n"
]
}
],
"source": [
"nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]\n",
"\n",
@@ -1467,10 +1621,35 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 20,
"id": "352c6c29-8929-4210-84c5-8dbc3d5ffeee",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:23:43.229596Z",
"iopub.status.busy": "2024-10-21T10:23:43.228787Z",
"iopub.status.idle": "2024-10-21T10:23:43.252554Z",
"shell.execute_reply": "2024-10-21T10:23:43.252012Z",
"shell.execute_reply.started": "2024-10-21T10:23:43.229524Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"BMI 4.0 1364\n",
"肺活量 3.52 1364\n",
"握力 3.25 1361\n",
"坐位体前屈 2.93 1346\n",
"纵跳 3.4 1316\n",
"俯卧撑 3.65 1047\n",
"一分钟仰卧起坐 4.27 240\n",
"单脚站立 2.6 1356\n",
"选择反应时 2.88 1317\n",
"台阶指数 2.5 1286\n"
]
}
],
"source": [
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
@@ -1495,10 +1674,58 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 23,
"id": "97f5a1cf-341e-4b99-9549-b6a3fb165849",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T10:29:13.377306Z",
"iopub.status.busy": "2024-10-21T10:29:13.376542Z",
"iopub.status.idle": "2024-10-21T10:29:13.404001Z",
"shell.execute_reply": "2024-10-21T10:29:13.403407Z",
"shell.execute_reply.started": "2024-10-21T10:29:13.377233Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"采购中心 3.39 20\n",
"炼油三部 3.2 30\n",
"烯烃一部 3.21 156\n",
"炼油五部 3.26 72\n",
"公用工程二部 3.26 72\n",
"合成材料部 3.12 55\n",
"质管中心 3.24 56\n",
"储运一部 3.1 82\n",
"氢能制造部 3.18 59\n",
"电气中心 3.14 45\n",
"公用工程一部 3.12 81\n",
"仪表和计量中心 3.29 81\n",
"港储部 3.13 36\n",
"炼油二部 3.28 60\n",
"消防支队 3.35 25\n",
"烯烃二部 3.03 42\n",
"炼油一部 3.29 42\n",
"事务中心 3.17 35\n",
"公司机关 3.3 102\n",
"化学制品部 3.31 43\n",
"项目管理部 3.38 19\n",
"新材料研究院 3.31 15\n",
"炼油四部 3.08 27\n",
"油库中心 3.22 25\n",
"炼油六部 3.08 34\n",
"储运二部 3.12 13\n",
"宣传部 3.11 1\n",
"财务部 3.0 1\n",
"生产部 3.04 3\n",
"发展部 2.78 4\n",
"项目部 2.7 2\n",
"炼油七部 3.25 26\n",
"公用工程五部 2.8 1\n"
]
}
],
"source": [
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
@@ -1513,8 +1740,94 @@
" for k, v in dict1.items():\n",
" if item == v['unit']:\n",
" score = score + v['score']\n",
" n = n +1\n",
" if n>0:\n",
" print(item,round(score/n,2),n)\n",
" else:\n",
" print(item,0,n)"
]
},
{
"cell_type": "markdown",
"id": "85b3a695-86db-4aec-95f4-33f3b628e548",
"metadata": {},
"source": [
"### 按照部门计算平均成绩（男性）"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "3beaab27-ca90-4e09-b2d2-590fd7bac51d",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T11:08:37.411743Z",
"iopub.status.busy": "2024-10-21T11:08:37.410982Z",
"iopub.status.idle": "2024-10-21T11:08:37.440585Z",
"shell.execute_reply": "2024-10-21T11:08:37.439932Z",
"shell.execute_reply.started": "2024-10-21T11:08:37.411671Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"采购中心 3.64 8\n",
"炼油三部 3.55 7\n",
"烯烃一部 3.29 28\n",
"炼油五部 3.11 16\n",
"公用工程二部 3.33 15\n",
"合成材料部 3.37 11\n",
"质管中心 3.4 13\n",
"储运一部 3.24 15\n",
"氢能制造部 3.28 13\n",
"电气中心 3.18 9\n",
"公用工程一部 3.16 18\n",
"仪表和计量中心 3.5 17\n",
"港储部 3.26 8\n",
"炼油二部 3.45 11\n",
"消防支队 3.07 4\n",
"烯烃二部 3.25 7\n",
"炼油一部 3.46 6\n",
"事务中心 3.6 7\n",
"公司机关 3.45 24\n",
"化学制品部 3.47 9\n",
"项目管理部 3.44 10\n",
"新材料研究院 3.37 3\n",
"炼油四部 3.18 4\n",
"油库中心 3.3 7\n",
"炼油六部 3.08 7\n",
"储运二部 3.45 2\n",
"宣传部 0 0\n",
"财务部 0 0\n",
"生产部 2.12 1\n",
"发展部 2.89 1\n",
"项目部 0 0\n",
"炼油七部 3.33 9\n",
"公用工程五部 2.8 1\n"
]
}
],
"source": [
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl) \n",
"depart = []\n",
"for k, v in dict1.items():\n",
" if v['unit'] not in depart:\n",
" depart.append(v['unit'])\n",
"\n",
"for item in depart:\n",
" score = 0\n",
" n = 0\n",
" for k, v in dict1.items():\n",
" if item == v['unit'] and v['sex'] == '女':\n",
" score = score + v['score']\n",
" n = n +1 \n",
" print(item,round(score/n,2),n)"
" if n>0:\n",
" print(item,round(score/n,2),n)\n",
" else:\n",
" print(item,0,n)"
]
},
{
@@ -1527,10 +1840,388 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 27,
"id": "a959c1b8-86fc-4fca-8595-4278135e95b8",
"metadata": {},
"outputs": [],
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T11:16:09.966697Z",
"iopub.status.busy": "2024-10-21T11:16:09.965947Z",
"iopub.status.idle": "2024-10-21T11:16:10.010186Z",
"shell.execute_reply": "2024-10-21T11:16:10.009636Z",
"shell.execute_reply.started": "2024-10-21T11:16:09.966621Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"采购中心\n",
"BMI 86 20\n",
"肺活量 72 20\n",
"握力 59 20\n",
"坐位体前屈 63 20\n",
"纵跳 71 20\n",
"俯卧撑 47 12\n",
"一分钟仰卧起坐 35 8\n",
"单脚站立 47 20\n",
"选择反应时 68 20\n",
"台阶指数 62 20\n",
"炼油三部\n",
"BMI 116 30\n",
"肺活量 99 30\n",
"握力 91 30\n",
"坐位体前屈 84 30\n",
"纵跳 92 29\n",
"俯卧撑 92 22\n",
"一分钟仰卧起坐 29 7\n",
"单脚站立 78 30\n",
"选择反应时 85 29\n",
"台阶指数 86 29\n",
"烯烃一部\n",
"BMI 584 156\n",
"肺活量 547 156\n",
"握力 517 156\n",
"坐位体前屈 461 153\n",
"纵跳 541 147\n",
"俯卧撑 454 123\n",
"一分钟仰卧起坐 84 21\n",
"单脚站立 401 156\n",
"选择反应时 430 151\n",
"台阶指数 363 145\n",
"炼油五部\n",
"BMI 294 72\n",
"肺活量 258 72\n",
"握力 237 72\n",
"坐位体前屈 208 72\n",
"纵跳 265 72\n",
"俯卧撑 206 56\n",
"一分钟仰卧起坐 48 12\n",
"单脚站立 182 72\n",
"选择反应时 207 68\n",
"台阶指数 173 69\n",
"公用工程二部\n",
"BMI 296 72\n",
"肺活量 238 72\n",
"握力 243 72\n",
"坐位体前屈 212 71\n",
"纵跳 226 69\n",
"俯卧撑 204 55\n",
"一分钟仰卧起坐 54 12\n",
"单脚站立 189 72\n",
"选择反应时 206 68\n",
"台阶指数 191 68\n",
"合成材料部\n",
"BMI 217 55\n",
"肺活量 186 55\n",
"握力 178 53\n",
"坐位体前屈 149 55\n",
"纵跳 180 55\n",
"俯卧撑 164 44\n",
"一分钟仰卧起坐 43 10\n",
"单脚站立 137 55\n",
"选择反应时 146 54\n",
"台阶指数 129 55\n",
"质管中心\n",
"BMI 248 56\n",
"肺活量 197 56\n",
"握力 177 56\n",
"坐位体前屈 149 55\n",
"纵跳 172 52\n",
"俯卧撑 141 39\n",
"一分钟仰卧起坐 49 11\n",
"单脚站立 136 56\n",
"选择反应时 151 50\n",
"台阶指数 141 51\n",
"储运一部\n",
"BMI 324 82\n",
"肺活量 278 82\n",
"握力 263 82\n",
"坐位体前屈 219 80\n",
"纵跳 239 78\n",
"俯卧撑 218 64\n",
"一分钟仰卧起坐 45 10\n",
"单脚站立 201 81\n",
"选择反应时 227 81\n",
"台阶指数 209 78\n",
"氢能制造部\n",
"BMI 231 59\n",
"肺活量 214 59\n",
"握力 190 59\n",
"坐位体前屈 180 59\n",
"纵跳 188 58\n",
"俯卧撑 160 45\n",
"一分钟仰卧起坐 52 13\n",
"单脚站立 160 59\n",
"选择反应时 145 55\n",
"台阶指数 147 58\n",
"电气中心\n",
"BMI 185 45\n",
"肺活量 158 44\n",
"握力 137 45\n",
"坐位体前屈 132 44\n",
"纵跳 130 42\n",
"俯卧撑 129 36\n",
"一分钟仰卧起坐 24 6\n",
"单脚站立 109 45\n",
"选择反应时 136 44\n",
"台阶指数 92 42\n",
"公用工程一部\n",
"BMI 307 81\n",
"肺活量 286 81\n",
"握力 268 81\n",
"坐位体前屈 226 80\n",
"纵跳 262 77\n",
"俯卧撑 223 63\n",
"一分钟仰卧起坐 64 16\n",
"单脚站立 194 81\n",
"选择反应时 211 77\n",
"台阶指数 173 73\n",
"仪表和计量中心\n",
"BMI 323 81\n",
"肺活量 302 81\n",
"握力 273 81\n",
"坐位体前屈 242 79\n",
"纵跳 302 81\n",
"俯卧撑 231 63\n",
"一分钟仰卧起坐 51 12\n",
"单脚站立 221 81\n",
"选择反应时 230 79\n",
"台阶指数 186 80\n",
"港储部\n",
"BMI 142 36\n",
"肺活量 133 36\n",
"握力 119 36\n",
"坐位体前屈 100 36\n",
"纵跳 114 36\n",
"俯卧撑 98 28\n",
"一分钟仰卧起坐 15 4\n",
"单脚站立 86 36\n",
"选择反应时 94 35\n",
"台阶指数 88 33\n",
"炼油二部\n",
"BMI 250 60\n",
"肺活量 211 60\n",
"握力 196 60\n",
"坐位体前屈 169 60\n",
"纵跳 203 57\n",
"俯卧撑 184 49\n",
"一分钟仰卧起坐 47 11\n",
"单脚站立 163 60\n",
"选择反应时 183 59\n",
"台阶指数 145 58\n",
"消防支队\n",
"BMI 99 25\n",
"肺活量 81 25\n",
"握力 87 25\n",
"坐位体前屈 76 25\n",
"纵跳 92 25\n",
"俯卧撑 87 20\n",
"一分钟仰卧起坐 14 3\n",
"单脚站立 70 25\n",
"选择反应时 69 25\n",
"台阶指数 72 25\n",
"烯烃二部\n",
"BMI 154 42\n",
"肺活量 149 42\n",
"握力 133 42\n",
"坐位体前屈 114 42\n",
"纵跳 132 41\n",
"俯卧撑 115 34\n",
"一分钟仰卧起坐 32 7\n",
"单脚站立 102 42\n",
"选择反应时 105 41\n",
"台阶指数 95 41\n",
"炼油一部\n",
"BMI 176 42\n",
"肺活量 140 42\n",
"握力 141 42\n",
"坐位体前屈 127 41\n",
"纵跳 129 37\n",
"俯卧撑 133 36\n",
"一分钟仰卧起坐 16 5\n",
"单脚站立 117 42\n",
"选择反应时 116 41\n",
"台阶指数 103 36\n",
"事务中心\n",
"BMI 149 35\n",
"肺活量 115 35\n",
"握力 103 35\n",
"坐位体前屈 106 34\n",
"纵跳 105 34\n",
"俯卧撑 83 27\n",
"一分钟仰卧起坐 30 6\n",
"单脚站立 99 34\n",
"选择反应时 100 33\n",
"台阶指数 72 30\n",
"公司机关\n",
"BMI 394 102\n",
"肺活量 362 102\n",
"握力 332 102\n",
"坐位体前屈 313 101\n",
"纵跳 364 101\n",
"俯卧撑 303 77\n",
"一分钟仰卧起坐 83 18\n",
"单脚站立 267 96\n",
"选择反应时 291 96\n",
"台阶指数 217 94\n",
"化学制品部\n",
"BMI 171 43\n",
"肺活量 158 43\n",
"握力 149 43\n",
"坐位体前屈 132 42\n",
"纵跳 150 42\n",
"俯卧撑 131 34\n",
"一分钟仰卧起坐 32 7\n",
"单脚站立 104 43\n",
"选择反应时 116 42\n",
"台阶指数 114 41\n",
"项目管理部\n",
"BMI 85 19\n",
"肺活量 68 19\n",
"握力 57 19\n",
"坐位体前屈 60 19\n",
"纵跳 57 18\n",
"俯卧撑 29 7\n",
"一分钟仰卧起坐 44 10\n",
"单脚站立 57 18\n",
"选择反应时 59 19\n",
"台阶指数 46 18\n",
"新材料研究院\n",
"BMI 61 15\n",
"肺活量 56 15\n",
"握力 47 15\n",
"坐位体前屈 48 15\n",
"纵跳 56 15\n",
"俯卧撑 39 12\n",
"一分钟仰卧起坐 14 3\n",
"单脚站立 45 15\n",
"选择反应时 43 15\n",
"台阶指数 37 15\n",
"炼油四部\n",
"BMI 103 27\n",
"肺活量 83 27\n",
"握力 86 27\n",
"坐位体前屈 75 27\n",
"纵跳 77 27\n",
"俯卧撑 83 23\n",
"一分钟仰卧起坐 12 3\n",
"单脚站立 78 27\n",
"选择反应时 84 27\n",
"台阶指数 61 26\n",
"油库中心\n",
"BMI 113 25\n",
"肺活量 90 25\n",
"握力 67 23\n",
"坐位体前屈 73 25\n",
"纵跳 66 23\n",
"俯卧撑 54 15\n",
"一分钟仰卧起坐 32 7\n",
"单脚站立 70 25\n",
"选择反应时 71 24\n",
"台阶指数 50 21\n",
"炼油六部\n",
"BMI 139 33\n",
"肺活量 118 34\n",
"握力 109 34\n",
"坐位体前屈 93 33\n",
"纵跳 109 32\n",
"俯卧撑 93 27\n",
"一分钟仰卧起坐 29 7\n",
"单脚站立 78 34\n",
"选择反应时 86 33\n",
"台阶指数 67 32\n",
"储运二部\n",
"BMI 45 13\n",
"肺活量 49 13\n",
"握力 45 13\n",
"坐位体前屈 39 12\n",
"纵跳 41 13\n",
"俯卧撑 37 11\n",
"一分钟仰卧起坐 8 2\n",
"单脚站立 33 13\n",
"选择反应时 35 13\n",
"台阶指数 29 13\n",
"宣传部\n",
"BMI 3 1\n",
"肺活量 4 1\n",
"握力 3 1\n",
"坐位体前屈 2 1\n",
"纵跳 4 1\n",
"俯卧撑 4 1\n",
"一分钟仰卧起坐 0 0\n",
"单脚站立 3 1\n",
"选择反应时 4 1\n",
"台阶指数 1 1\n",
"财务部\n",
"BMI 5 1\n",
"肺活量 5 1\n",
"握力 2 1\n",
"坐位体前屈 3 1\n",
"纵跳 3 1\n",
"俯卧撑 2 1\n",
"一分钟仰卧起坐 0 0\n",
"单脚站立 2 1\n",
"选择反应时 4 1\n",
"台阶指数 1 1\n",
"生产部\n",
"BMI 13 3\n",
"肺活量 11 3\n",
"握力 10 3\n",
"坐位体前屈 6 3\n",
"纵跳 7 3\n",
"俯卧撑 8 2\n",
"一分钟仰卧起坐 0 0\n",
"单脚站立 9 3\n",
"选择反应时 9 3\n",
"台阶指数 7 3\n",
"发展部\n",
"BMI 16 4\n",
"肺活量 16 4\n",
"握力 10 4\n",
"坐位体前屈 8 4\n",
"纵跳 13 4\n",
"俯卧撑 11 3\n",
"一分钟仰卧起坐 5 1\n",
"单脚站立 10 4\n",
"选择反应时 8 4\n",
"台阶指数 3 4\n",
"项目部\n",
"BMI 8 2\n",
"肺活量 7 2\n",
"握力 4 2\n",
"坐位体前屈 3 2\n",
"纵跳 3 1\n",
"俯卧撑 4 2\n",
"一分钟仰卧起坐 0 0\n",
"单脚站立 6 2\n",
"选择反应时 6 2\n",
"台阶指数 3 1\n",
"炼油七部\n",
"BMI 112 26\n",
"肺活量 102 26\n",
"握力 92 26\n",
"坐位体前屈 75 25\n",
"纵跳 82 25\n",
"俯卧撑 59 16\n",
"一分钟仰卧起坐 33 8\n",
"单脚站立 68 26\n",
"选择反应时 71 26\n",
"台阶指数 52 25\n",
"公用工程五部\n",
"BMI 3 1\n",
"肺活量 3 1\n",
"握力 3 1\n",
"坐位体前屈 0 0\n",
"纵跳 0 0\n",
"俯卧撑 0 0\n",
"一分钟仰卧起坐 0 0\n",
"单脚站立 2 1\n",
"选择反应时 3 1\n",
"台阶指数 0 0\n"
]
}
],
"source": [
"import json\n",
"\n",
@@ -1562,10 +2253,98 @@
" print(k1,v1['score'],v1['count'])"
]
},
{
"cell_type": "markdown",
"id": "7092779e-ce30-4d1c-8e7b-a14011daee93",
"metadata": {},
"source": [
"## 计算部门等级"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "81195537-5a43-4822-a1b9-a08b7baee05e",
"metadata": {
"execution": {
"iopub.execute_input": "2024-10-21T11:29:13.643629Z",
"iopub.status.busy": "2024-10-21T11:29:13.642866Z",
"iopub.status.idle": "2024-10-21T11:29:13.669706Z",
"shell.execute_reply": "2024-10-21T11:29:13.669107Z",
"shell.execute_reply.started": "2024-10-21T11:29:13.643558Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"采购中心 5 7 8 0\n",
"炼油三部 3 9 18 0\n",
"烯烃一部 31 36 74 15\n",
"炼油五部 15 22 25 10\n",
"公用工程二部 10 29 28 5\n",
"合成材料部 3 20 25 7\n",
"质管中心 8 24 17 7\n",
"储运一部 8 23 38 13\n",
"氢能制造部 10 16 27 6\n",
"电气中心 1 20 21 3\n",
"公用工程一部 12 22 34 13\n",
"仪表和计量中心 18 25 32 6\n",
"港储部 6 5 24 1\n",
"炼油二部 7 25 26 2\n",
"消防支队 6 10 7 2\n",
"烯烃二部 7 10 15 10\n",
"炼油一部 7 12 22 1\n",
"事务中心 6 10 14 5\n",
"公司机关 21 38 35 8\n",
"化学制品部 9 13 19 2\n",
"项目管理部 3 8 8 0\n",
"新材料研究院 2 8 5 0\n",
"炼油四部 3 6 14 4\n",
"油库中心 4 11 7 3\n",
"炼油六部 3 9 17 5\n",
"储运二部 1 4 7 1\n",
"宣传部 0 0 1 0\n",
"财务部 0 0 1 0\n",
"生产部 1 0 1 1\n",
"发展部 0 0 3 1\n",
"项目部 0 0 1 1\n",
"炼油七部 5 9 10 2\n",
"公用工程五部 0 0 1 0\n"
]
}
],
"source": [
"import json\n",
"\n",
"items = ['优秀','良好','合格','不合格'] \n",
"filename = 'data/data_镇海.json'\n",
"with open(filename,'r') as fl:\n",
" dict1 = json.load(fl)\n",
"\n",
"\n",
"dict3 = {}\n",
"for k, v in dict1.items():\n",
" unit = v['unit']\n",
" dict3.setdefault(unit,{})\n",
" for item in items:\n",
" dict3[unit].setdefault(item,0)\n",
"\n",
"for k, v in dict1.items():\n",
" unit = v['unit']\n",
" #dict3.setdefault(unit,{})\n",
" #for item in items:\n",
" #dict3[unit].setdefault(v['level'],0)\n",
" dict3[unit][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": null,
"id": "62647f93-2d98-4ab1-bd05-989c318b673d",
"id": "8fa4c148-3bba-4bb5-b140-a6f1642c42a0",
"metadata": {},
"outputs": [],
"source": []