817 lines
24 KiB
Plaintext
817 lines
24 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "04524c85-988e-4dbf-86eb-939a9db7aa28",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bbba6efc-73cd-4db6-bae7-014724fee731",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/农工党延庆支部人员名单.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" code = str(sheet.cell(n, 4).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 1).value\n",
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" dict1['unit'] = '农工党延庆支部'\n",
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" dict1['sex'] = sheet.cell(n, 2).value\n",
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" nianyue = str(sheet.cell(n,3).value).replace('.','-')+'-01'\n",
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" dict1['birth'] = nianyue\n",
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" person[code] = dict1\n",
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"filename = 'data/农工党延庆支部.json'\n",
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"print(len(person))\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "780a00d8-ada3-4c52-bd3a-301cdaec8463",
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"metadata": {},
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"source": [
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"## 导入问卷信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"id": "dc0a78bb-ce82-4f6d-ba53-8bd9655f39af",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-12-12T04:25:43.981437Z",
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"iopub.status.busy": "2023-12-12T04:25:43.980663Z",
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"iopub.status.idle": "2023-12-12T04:25:44.029168Z",
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"shell.execute_reply": "2023-12-12T04:25:44.026384Z",
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"shell.execute_reply.started": "2023-12-12T04:25:43.981364Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"32\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"from datetime import date\n",
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"\n",
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"\n",
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"filename = 'data/农工党延庆支部.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/Survey_20231211.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"dict2 = {}\n",
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"m_rq = '2023-12-11'\n",
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"rq= date.fromisoformat(m_rq.replace('/','-'))\n",
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"for item in list1:\n",
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" if item[2] in dict1.keys(): \n",
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" dict2[str(item[2])] = dict1[str(item[2])]\n",
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" rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0]) \n",
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" tcm = []\n",
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" for i in range(0,60):\n",
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" tcm.append(0)\n",
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" content = json.loads(item[5]) \n",
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" for k, v in content.items(): \n",
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" i = int(k[1:])\n",
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" tcm[i-1] = int(v)\n",
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" dict2[str(item[2])]['tcm'] = tcm\n",
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" birth = date.fromisoformat(dict1[str(item[2])]['birth'].replace('/','-'))\n",
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"\n",
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" days = (rq-birth).days \n",
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" dict2[str(item[2])]['age'] = int(days/365)\n",
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" dict2[str(item[2])]['month'] = int(days/365*12)\n",
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"print(len(dict2))\n",
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"filename = 'data/result_农工党延庆支部问卷.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2, fl, ensure_ascii=False) "
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]
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},
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{
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"cell_type": "markdown",
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"id": "5c72d14d-0f75-41d5-a334-fc16f4a2d275",
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"metadata": {},
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"source": [
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"## 统计未参加问卷人员信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"id": "5b646b5d-c4f6-4d37-9510-30fcbef44855",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-12-12T04:25:52.599199Z",
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"iopub.status.busy": "2023-12-12T04:25:52.598384Z",
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"iopub.status.idle": "2023-12-12T04:25:52.621363Z",
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"shell.execute_reply": "2023-12-12T04:25:52.618548Z",
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"shell.execute_reply.started": "2023-12-12T04:25:52.599125Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"13910270600 袁正东\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"\n",
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"filename = 'data/农工党延庆支部.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"\n",
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"list1 = []\n",
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"filename = 'data/Survey_20231211.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"phone1 = set()\n",
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"for result in list1:\n",
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" phone1.add(result[2])\n",
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"\n",
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"for k, v in dict1.items():\n",
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" if k not in phone1:\n",
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" print(k,v['name'])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0bc15d3a-e0a4-4089-9891-be3da20660cc",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import csv\n",
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"import openpyxl\n",
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"\n",
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"filename = 'data/农工党延庆支部.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"\n",
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"filename = 'data/Survey_20231121.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"for item in list1:\n",
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" if item[2] not in dict1.keys():\n",
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" print(item[2])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "93dfaaf1-95a5-467d-b7d8-e0f0e4a6e0dd",
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"metadata": {},
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"source": [
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"## 生成报告"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"id": "ab9b8e0c-53dd-4b93-a42a-7d1952b0423a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-12-12T04:36:12.507368Z",
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"iopub.status.busy": "2023-12-12T04:36:12.507004Z",
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"iopub.status.idle": "2023-12-12T04:36:18.957893Z",
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"shell.execute_reply": "2023-12-12T04:36:18.955648Z",
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"shell.execute_reply.started": "2023-12-12T04:36:12.507335Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"15010721720 吕毅夫 {\"errmsg\":\"ok\"}\n",
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"13911532480 王若云 {\"errmsg\":\"ok\"}\n",
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"15810430182 赵凤龙 {\"errmsg\":\"ok\"}\n",
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"17778112523 蔡丽娟 {\"errmsg\":\"ok\"}\n",
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"15910393682 吴晨晨 {\"errmsg\":\"ok\"}\n",
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"13241607620 韦树鹏 {\"errmsg\":\"ok\"}\n",
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"15201130595 刘均平 {\"errmsg\":\"ok\"}\n",
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"18500858558 张超 {\"errmsg\":\"ok\"}\n",
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"13911692169 郑文凯 {\"errmsg\":\"ok\"}\n",
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"15910799757 王贝 {\"errmsg\":\"ok\"}\n",
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"13911816920 王欣 {\"errmsg\":\"ok\"}\n",
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"13621168106 赵颖 {\"errmsg\":\"ok\"}\n",
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"13683643617 周娟 {\"errmsg\":\"ok\"}\n",
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"15010369810 黄俊平 {\"errmsg\":\"ok\"}\n",
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"13810927023 高丽 {\"errmsg\":\"ok\"}\n",
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"15210546702 杨海燕 {\"errmsg\":\"ok\"}\n",
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"15010601650 于永华 {\"errmsg\":\"ok\"}\n",
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"15910799750 韩骐 {\"errmsg\":\"ok\"}\n",
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"13784086161 霍莉媛 {\"errmsg\":\"ok\"}\n",
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"15810404851 王建斌 {\"errmsg\":\"ok\"}\n",
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"15810830119 奚晓亮 {\"errmsg\":\"ok\"}\n",
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"13651123781 马海涛 {\"errmsg\":\"ok\"}\n",
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"17310308917 刘凡 {\"errmsg\":\"ok\"}\n",
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"13651357627 高桂所 {\"errmsg\":\"ok\"}\n",
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"13718793001 乔金梅 {\"errmsg\":\"ok\"}\n",
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"15501167098 马宇 {\"errmsg\":\"ok\"}\n",
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"13601312169 白华 {\"errmsg\":\"ok\"}\n",
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"13901363461 陈学军 {\"errmsg\":\"ok\"}\n",
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"13501017663 李志玖 {\"errmsg\":\"ok\"}\n",
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"13911795921 祁向东 {\"errmsg\":\"ok\"}\n",
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"18600419150 鲁兴隆 {\"errmsg\":\"ok\"}\n",
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"13501017366 程大庆 {\"errmsg\":\"ok\"}\n"
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]
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}
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],
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"source": [
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"import requests\n",
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"import json\n",
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"\n",
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"\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_农工党延庆支部问卷.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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"fiie_path ='./农工党延庆支部/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i = 27\n",
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"list2 = []\n",
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"for k,v in dict1.items(): \n",
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" list1 = []\n",
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" mydata = {} \n",
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" id = k.rjust(3,\"0\")\n",
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" mydata['path'] = fiie_path+ v['name']+'.pdf'\n",
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" mydata['title'] = '农工党延庆支部'\n",
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" #mydata['subtitle'] = ''\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female' \n",
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" mydata['month'] = v['month']\n",
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" \n",
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" if 'tcm' in v.keys():\n",
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" mydata.setdefault('surveys',{})\n",
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" mydata['surveys']['tcm'] = v['tcm']\n",
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" \n",
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" \n",
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" #print(mydata) \n",
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" \n",
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" list1.append(mydata)\n",
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" #list2.append([k,dict1[k]['name']])\n",
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"\n",
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" x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n",
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" print(id,dict1[k]['name'],x.text)\n",
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" x.close()\n",
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" #print(mydata)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "fd349cad-ac40-4f35-8eb3-3642a9a82899",
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"metadata": {},
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"source": [
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"## 数据分析"
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]
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},
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{
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"cell_type": "markdown",
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"id": "187d68b0-f404-489f-8c42-1ae98139ac5c",
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"metadata": {},
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"source": [
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"### 清理报告数据"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8da85b6e-6a8e-4552-ac9b-475986520edb",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/result_政法委new.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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" \n",
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"#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",
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"items = {}\n",
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"items['lung'] = '肺活量'\n",
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"items['grip'] ='握力'\n",
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"items['flexion'] ='坐位体前屈'\n",
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"items['jump'] ='纵跳'\n",
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"items['pushup'] ='俯卧撑'\n",
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"items['balance'] ='单脚站立'\n",
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"items['reaction'] ='选择反应时'\n",
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"items['step'] ='台阶指数'\n",
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"items['situp'] ='一分钟仰卧起坐'\n",
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"items['bmi'] ='BMI'\n",
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"\n",
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"\n",
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"list1 = []\n",
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"\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=1\n",
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"list2 = []\n",
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"dict2 = {}\n",
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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(3,\"0\")\n",
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" mydata['unit'] = v['unit']\n",
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" mydata['name'] = v['name']\n",
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" mydata['sex'] = v['sex']\n",
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" mydata['month'] = v['month']\n",
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" age = int(v['month']/12)\n",
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" if age <20:\n",
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" mydata['age'] = 20\n",
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" else:\n",
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" mydata['age'] = int(v['month']/12)\n",
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" \n",
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" mydata['fits'] = {}\n",
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" score = 0\n",
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" for item in list_item:\n",
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" if item in v.keys():\n",
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" if item in ['lung','pushup','step','situp']:\n",
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" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
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" n+=1\n",
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" else:\n",
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" mark = v[item]['成绩'].split()[0]\n",
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" mydata['fits'][items[item]] = {'mark':mark,'score':v[item]['score']}\n",
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" score = score + v[item]['score']\n",
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" \n",
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" #mydata['score'] = round(score/len(mydata['fits']),2)\n",
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" if len(mydata['fits']) >2:\n",
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" mydata['score'] = round(score/len(mydata['fits']),2)\n",
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" dict2[str(k)] = mydata\n",
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"filename = f'data/data_政法委.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2,fl , ensure_ascii=False) \n",
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"print('ok!') "
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]
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},
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{
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"cell_type": "markdown",
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"id": "a6539755-2418-452c-a8c2-73330e7a074c",
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"metadata": {},
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"source": [
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|
"### 计算测试等级"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e37fb523-af73-42b7-8b74-c91cbfa0e0d7",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import json\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",
|
|
"filename = 'data/data_政法委.json'\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",
|
|
"print(len(dict1))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "6c1632a4-3bd5-4f63-9593-7675272725ad",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 根据年龄汇总人员信息及成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "c12bc25a-17d6-4dcf-b739-cfa9bbe4410f",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"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",
|
|
" if i ==0:\n",
|
|
" print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')\n",
|
|
" else:\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": "3c7b8dd3-ca80-45dc-92ae-6832e3c2dbcb",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 根据年龄汇总人员信息及成绩（男）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "eec3966b-91ec-4527-86a6-2e5ced6ba002",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"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：0分，人数：{i}人') \n",
|
|
" else:\n",
|
|
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "1277bad3-b04c-4d66-865f-fa6dc3b2bf61",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 根据年龄汇总人员信息及成绩（女）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "40658342-1628-42a5-89ad-85fe592e74bb",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"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",
|
|
"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：0分，人数：{i}人') \n",
|
|
" else:\n",
|
|
" print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "a59a8699-1a62-43ca-a11d-cdc03009b9e1",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 计算平均成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "899da5d8-708e-4bb8-a1ce-b82a40cf2e94",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"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",
|
|
"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/25,4)}分，总体：25人')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "314ca97d-ad3e-4fe0-a6a5-45b8de94f71e",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 计算测试等级"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "dfb1b1f1-79fd-47af-9fdb-3671de26a17d",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"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",
|
|
"#filename = 'data/result_石家庄.json'\n",
|
|
"with open(filename,'w') as fl:\n",
|
|
" json.dump(dict1, fl) \n",
|
|
"print('ok')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "fe71a0f0-5494-4462-a123-d0edbbaaf3ab",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 计算各年龄段测试等级(女）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "5af094da-db54-4ab7-bbce-7329cb2fc1b1",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"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": "ee7396bd-6548-4aaf-8b6d-53a4fa5f2f56",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 计算各年龄段测试等级(男）"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "38c51c24-3f9e-4147-9743-19d4f07bc2ff",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"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": "0921bc7f-984e-4aaf-8c3b-8bf9f086c804",
|
|
"metadata": {},
|
|
"source": [
|
|
"### 计算各项目成绩"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "229640d7-824b-4cb2-bdec-7d884677a856",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"with open(filename,'r') as fl:\n",
|
|
" dict1 = json.load(fl) \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",
|
|
"for item in items:\n",
|
|
" score = 0\n",
|
|
" n = 0\n",
|
|
" for k, v in dict1.items(): \n",
|
|
" if item in v['fits'].keys():\n",
|
|
" n = n + 1\n",
|
|
" score =score + int(v['fits'][item]['score'])\n",
|
|
" print(item,round(score/n,2),n)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "ef75cdd8-d83e-48ab-9867-11102714202a",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"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": "3.12.3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|