From a039732d625793b7eb712f745116cc9eebe48119 Mon Sep 17 00:00:00 2001 From: "512song@sina.com" Date: Thu, 15 Dec 2022 09:13:59 +0800 Subject: [PATCH] 20221215 --- 体测单位/体质检测数据处理.ipynb | 351 ++++++++++++++++++++++++++++++++ 1 file changed, 351 insertions(+) create mode 100644 体测单位/体质检测数据处理.ipynb diff --git a/体测单位/体质检测数据处理.ipynb b/体测单位/体质检测数据处理.ipynb new file mode 100644 index 0000000..e0d8b4a --- /dev/null +++ b/体测单位/体质检测数据处理.ipynb @@ -0,0 +1,351 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "19280f5c-8e34-4a64-8dfb-6353cbf597d2", + "metadata": {}, + "source": [ + "# 体质检测数据处理" + ] + }, + { + "cell_type": "markdown", + "id": "112d80f4-607b-41f9-bb30-ac2eb8f52ee2", + "metadata": {}, + "source": [ + "## 基础数据管理" + ] + }, + { + "cell_type": "markdown", + "id": "b7dfd50f-a614-497d-8f0a-fa1e4c89168a", + "metadata": {}, + "source": [ + "### 体测项目标准导入" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "8cd73044-56a8-409b-a873-085feb63af17", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-11T04:12:38.717398Z", + "iopub.status.busy": "2022-12-11T04:12:38.716743Z", + "iopub.status.idle": "2022-12-11T04:12:38.819382Z", + "shell.execute_reply": "2022-12-11T04:12:38.818678Z", + "shell.execute_reply.started": "2022-12-11T04:12:38.717334Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "tcbz ={\n", + " 'HeightWeigh':'身高体重',\n", + " 'StepExperiment':'台阶指数',\n", + " 'Lung':'肺活量',\n", + " 'Proneness':'坐位体前屈',\n", + " 'PowerfullGrip':'握力',\n", + " 'OneMinutePushUp':'一分钟仰卧起坐',\n", + " 'PushUp':'俯卧撑',\n", + " 'VerticalJump':'纵跳',\n", + " 'ReactionTime':'选择反应时',\n", + " 'FootStand':'单脚站立'\n", + "}\n", + "wb = openpyxl.load_workbook('data/体质检测标准.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "dict1 = {}\n", + "dict3 = {}\n", + "for k, v in tcbz.items():\n", + " dict3[v] = k\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "del data1[0]\n", + "for item in data1:\n", + " sex = item[0][6:]\n", + " if sex =='男':\n", + " age_sex = 'M'+item[0][:5]\n", + " else:\n", + " age_sex = 'F'+item[0][:5]\n", + " dict1.setdefault(age_sex,{})\n", + " if item[1] in dict3.keys():\n", + " xm = dict3[item[1]]\n", + " dict1[age_sex].setdefault(xm,[])\n", + " dict1[age_sex][xm].append(item[3]/item[4])\n", + "dict2 = {}\n", + "#print(dict1)\n", + "for k, v in dict1.items():\n", + " i1 = int(k[1:3])\n", + " i2 = int(k[-2:])\n", + " m_sex = k[:1]\n", + " for i in range(i1,i2+1):\n", + " dict2[m_sex+str(i)] = k\n", + "dict3 = {}\n", + "dict3['person'] = dict2\n", + "dict3['criteria'] = dict1\n", + "filename = 'data/体质检测标准.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict3, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "c36641d8-c54b-43d2-ad9d-ff4cb72deba9", + "metadata": {}, + "source": [ + "### 身高标准导入" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "2ca52d7b-d77e-452f-98f6-95072a5a1934", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-11T08:20:52.050056Z", + "iopub.status.busy": "2022-12-11T08:20:52.049496Z", + "iopub.status.idle": "2022-12-11T08:20:52.311023Z", + "shell.execute_reply": "2022-12-11T08:20:52.310420Z", + "shell.execute_reply.started": "2022-12-11T08:20:52.049977Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "tcbz ={\n", + " 'HeightWeigh':'身高体重',\n", + " 'StepExperiment':'台阶指数',\n", + " 'Lung':'肺活量',\n", + " 'Proneness':'坐位体前屈',\n", + " 'PowerfullGrip':'握力',\n", + " 'OneMinutePushUp':'一分钟仰卧起坐',\n", + " 'PushUp':'俯卧撑',\n", + " 'VerticalJump':'纵跳',\n", + " 'ReactionTime':'选择反应时',\n", + " 'FootStand':'单脚站立'\n", + "}\n", + "wb = openpyxl.load_workbook('data/体质检测标准_BMI.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "dict1 = {}\n", + "dict3 = {}\n", + "for k, v in tcbz.items():\n", + " dict3[v] = k\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "del data1[0]\n", + "for item in data1:\n", + " min_age = int(item[1]/12)\n", + " max_age = int((item[2]+1)/12) - 1\n", + " sex = item[0]\n", + " height = int(item[3])\n", + " if sex ==0:\n", + " age_sex = 'M'+str(min_age)+'~'+str(max_age)\n", + " else:\n", + " age_sex = 'F'+str(min_age)+'~'+str(max_age)\n", + " dict1.setdefault(age_sex,{})\n", + " \n", + " dict1[age_sex].setdefault(height,[])\n", + " dict1[age_sex][height].append(item[5]/1000)\n", + "dict2 = {}\n", + "#print(dict1)\n", + "for k, v in dict1.items():\n", + " i1 = int(k[1:3])\n", + " i2 = int(k[-2:])\n", + " m_sex = k[:1]\n", + " for i in range(i1,i2+1):\n", + " dict2[m_sex+str(i)] = k\n", + "dict3 = {}\n", + "dict3['person'] = dict2\n", + "dict3['criteria'] = dict1\n", + "filename = 'data/体质检测标准_BMI.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict3, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "59f5708d-c2d0-4470-b2f4-b9face431865", + "metadata": {}, + "source": [ + "### 计算分数" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "f32b266a-7e46-4703-ab61-7cbbc81b5ab1", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-11T05:22:41.852604Z", + "iopub.status.busy": "2022-12-11T05:22:41.852315Z", + "iopub.status.idle": "2022-12-11T05:22:41.865812Z", + "shell.execute_reply": "2022-12-11T05:22:41.864367Z", + "shell.execute_reply.started": "2022-12-11T05:22:41.852578Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[25.9, 31.5, 38.6, 44.0, 50.8]\n", + "25.9\n", + "0\n" + ] + } + ], + "source": [ + "import json\n", + "import time\n", + "import csv\n", + "\n", + "filename = 'data/体质检测标准.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "person = dict1['person']\n", + "criteria = dict1['criteria']\n", + "data = {'name':'张三','sex':'M','age':59,'item':'PowerfullGrip','result':12.0}\n", + "info = data['sex']+str(data['age'])\n", + "bz = person[info]\n", + "mx = criteria[bz][data['item']]\n", + "result = data['result']\n", + "score = -1\n", + "print(mx)\n", + "for bz1 in mx:\n", + " if result < bz1:\n", + " print(bz1)\n", + " score = mx.index(bz1,0)\n", + " break\n", + "if score == -1:\n", + " score = 5\n", + "print(score)" + ] + }, + { + "cell_type": "markdown", + "id": "755f8b66-c71c-4138-bd12-dff24e85e36a", + "metadata": {}, + "source": [ + "### 计算BMI分数" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "b32fbbdd-eb0a-4f0d-8901-e39a727c3ff8", + "metadata": { + "execution": { + "iopub.execute_input": "2022-12-11T08:42:02.334236Z", + "iopub.status.busy": "2022-12-11T08:42:02.333952Z", + "iopub.status.idle": "2022-12-11T08:42:02.357384Z", + "shell.execute_reply": "2022-12-11T08:42:02.355513Z", + "shell.execute_reply.started": "2022-12-11T08:42:02.334210Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "M50~59\n", + "175.5,90.2\n", + "1\n" + ] + } + ], + "source": [ + "import json\n", + "import time\n", + "import csv\n", + "\n", + "filename = 'data/体质检测标准_BMI.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "person = dict1['person']\n", + "criteria = dict1['criteria']\n", + "data = {'name':'张三','sex':'M','age':59,'item':'HeightWeight','result':'175.5,90.2'}\n", + "info = data['sex']+str(data['age'])\n", + "\n", + "bz = person[info]\n", + "print(bz)\n", + "result = data['result']\n", + "print(result)\n", + "height = int(float(result.split(',')[0]))\n", + "weight = float(result.split(',')[1])\n", + "mx = criteria[bz][str(height)]\n", + "if weight < mx[0]:\n", + " score = 1\n", + "elif weight < mx[1]:\n", + " score = 3\n", + "elif weight < mx[2]:\n", + " score = 5 \n", + "elif weight <= mx[3]:\n", + " score = 3 \n", + "elif weight > mx[3]:\n", + " score = 1\n", + "print(score)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5167ef1b-8ea5-4079-9468-33ec52f2317e", + "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": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}