From 1adfe9cc3d1c451495ce01d191a2a24e182f82a8 Mon Sep 17 00:00:00 2001 From: "512song@sina.com" Date: Thu, 16 Jun 2022 15:19:28 +0800 Subject: [PATCH] 20020616 --- 高考志愿管理.ipynb | 160 +++++++- 高考数据导入.ipynb | 962 ++++++++++++++++++++++----------------------- 2 files changed, 622 insertions(+), 500 deletions(-) diff --git a/高考志愿管理.ipynb b/高考志愿管理.ipynb index da018b3..e1c5622 100644 --- a/高考志愿管理.ipynb +++ b/高考志愿管理.ipynb @@ -3,8 +3,7 @@ { "cell_type": "markdown", "metadata": { - "tags": [], - "toc-hr-collapsed": true + "tags": [] }, "source": [ "# 高考志愿管理" @@ -80,6 +79,161 @@ "\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2021年全国高等学校信息更新" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2021年全国高等学校信息导出至json文件" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "execution": { + "iopub.execute_input": "2022-06-15T07:00:27.890983Z", + "iopub.status.busy": "2022-06-15T07:00:27.890444Z", + "iopub.status.idle": "2022-06-15T07:00:28.430955Z", + "shell.execute_reply": "2022-06-15T07:00:28.429949Z", + "shell.execute_reply.started": "2022-06-15T07:00:27.890936Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "filename = 'data/2021年全国普通高等学校名单.xlsx'\n", + "wb = openpyxl.load_workbook(filename)\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "del data1[0:3]\n", + "i = 1\n", + "dict1 = {}\n", + "for items in data1:\n", + " list1 = (items[1],str(items[2]),items[3],items[4],items[5],items[6])\n", + " dict1[i] = list1\n", + " i += 1 \n", + "with open('data/2021年全国普通高等学校名单.json','w') as fl2:\n", + " json.dump(dict1,fl2) \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 整理2021年全国高等学校信息" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "execution": { + "iopub.execute_input": "2022-06-15T08:26:50.903511Z", + "iopub.status.busy": "2022-06-15T08:26:50.902972Z", + "iopub.status.idle": "2022-06-15T08:26:50.972239Z", + "shell.execute_reply": "2022-06-15T08:26:50.971224Z", + "shell.execute_reply.started": "2022-06-15T08:26:50.903463Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "河北工业职业技术大学导入成功！\n", + "河北科技工程职业技术大学导入成功！\n", + "河北石油职业技术大学导入成功！\n", + "邢台应用技术职业学院导入成功！\n", + "山西工程科技职业大学导入成功！\n", + "吉林通用航空职业技术学院导入成功！\n", + "通化医药健康职业学院导入成功！\n", + "上海南湖职业技术学院导入成功！\n", + "浙江药科职业大学导入成功！\n", + "浙江金华科贸职业技术学院导入成功！\n", + "宿州航空职业学院导入成功！\n", + "和君职业学院导入成功！\n", + "滨州科技职业学院导入成功！\n", + "洛阳文化旅游职业学院导入成功！\n", + "周口文理职业学院导入成功！\n", + "信阳艺术职业学院导入成功！\n", + "郑州城建职业学院导入成功！\n", + "郑州医药健康职业学院导入成功！\n", + "湖北孝感美珈职业学院导入成功！\n", + "广州幼儿师范高等专科学校导入成功！\n", + "广东汕头幼儿师范高等专科学校导入成功！\n", + "广东梅州职业技术学院导入成功！\n", + "广东潮州卫生健康职业学院导入成功！\n", + "广东云浮中医药职业学院导入成功！\n", + "广东肇庆航空职业学院导入成功！\n", + "广西农业职业技术大学导入成功！\n", + "防城港职业技术学院导入成功！\n", + "广西信息职业技术学院导入成功！\n", + "广西农业工程职业技术学院导入成功！\n", + "北海康养职业学院导入成功！\n", + "重庆工信职业学院导入成功！\n", + "甘孜职业学院导入成功！\n", + "自贡职业技术学院导入成功！\n", + "贵阳康养职业大学导入成功！\n", + "贵州文化旅游职业学院导入成功！\n", + "宝鸡中北职业学院导入成功！\n", + "兰州石化职业技术大学导入成功！\n", + "兰州资源环境职业技术大学导入成功！\n", + "兰州航空职业技术学院导入成功！\n", + "白银希望职业技术学院导入成功！\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "import pymongo\n", + "\n", + "\n", + "filename = 'data/2021年全国普通高等学校名单.json'\n", + "with open(filename,'r') as fl:\n", + " m_xx = json.load(fl)\n", + "\n", + "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", + "mydb = myclient[\"gaokao\"]\n", + "mycol = mydb[\"college_2021\"]\n", + "\n", + "m_col = {}\n", + "\n", + "\n", + "for x in mycol.find({\"id_code\":{'$exists': 'true'}},{\"_id\": 0, \"id_code\": 1, \"name\": 1}):\n", + " m_col[x['id_code']] = x['name']\n", + "#print(m_col.keys())\n", + "for k, v in m_xx.items():\n", + " m_code = v[1]\n", + " #print(m_code)\n", + " if m_code not in m_col.keys():\n", + " dict1 = {}\n", + " dict1['id_code'] = v[1]\n", + " dict1['name'] = v[0]\n", + " dict1['charge'] = v[2]\n", + " dict1['city'] = v[3]\n", + " dict1['grade'] = v[4]\n", + " dict1['note'] = v[5]\n", + " mycol.insert_one(dict1) \n", + " print(dict1['name'] + '导入成功！')\n", + " #print(v[0],v[1])\n", + " \n", + "\n", + "\n", + " " + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -602,7 +756,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ diff --git a/高考数据导入.ipynb b/高考数据导入.ipynb index 962a2f6..45aa074 100644 --- a/高考数据导入.ipynb +++ b/高考数据导入.ipynb @@ -166,6 +166,201 @@ "## 汇总学校录取分数及位次" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 汇总2021年学校录取情况" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pymysql\n", + "import pymongo\n", + "\n", + "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", + "mydb = myclient[\"gaokao\"]\n", + "mycol = mydb[\"college_2021\"]\n", + "m_xx = {}\n", + "m_data = {}\n", + "m_mongo = {}\n", + "db = pymysql.connect(host = \"localhost\",user = \"root\",password = \"songyi\",database = \"gaokao\" )\n", + "cursor = db.cursor()\n", + "sql = 'SELECT college,SUM(plan),min(num_min),max(RANK_min) FROM admission_2021 GROUP BY college'\n", + "cursor.execute(sql)\n", + "results = cursor.fetchall()\n", + "i = 1\n", + "for result in results:\n", + " #m_xx.clear()\n", + " m_code = result[0]\n", + " m_nian ='2021'\n", + " m_lb = 'z'\n", + " m_xx.setdefault(m_code,{})\n", + " m_xx[m_code].setdefault(m_nian,{})\n", + " m_xx[m_code][m_nian].setdefault(m_lb,{})\n", + " m_xx[m_code][m_nian][m_lb] ['name']= '综合'\n", + " m_xx[m_code][m_nian][m_lb] ['dispense']= int(result[1])\n", + " m_xx[m_code][m_nian][m_lb] ['num_min']= result[2]\n", + " m_xx[m_code][m_nian][m_lb] ['rank_min']= result[3] \n", + " myquery = {'code':m_code}\n", + " colleges = mycol.find(myquery,{ \"_id\": 0, \"admission\": 1 })\n", + " for x in colleges:\n", + " for k, v in x.items():\n", + " for k1, v1 in v.items():\n", + " m_xx[m_code][k1] = v1\n", + "for k,v in m_xx.items():\n", + " #m_item ='admission.'+m_nian\n", + " m_mongo.clear() \n", + " myquery = {'code':k}\n", + " m_new = {\"$set\":{'admission':v}}\n", + " mycol.update_one(myquery,m_new)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 生成历年录取信息json文件" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pymysql\n", + "import pymongo\n", + "\n", + "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", + "mydb = myclient[\"gaokao\"]\n", + "mycol = mydb[\"college_2021\"]\n", + "m_xx = {}\n", + "m_data = {}\n", + "m_mongo = {}\n", + "db = pymysql.connect(host = \"localhost\",user = \"root\",password = \"songyi\",database = \"gaokao\" )\n", + "cursor = db.cursor()\n", + "sql = 'SELECT college,SUM(plan),min(num_min),max(RANK_min) FROM admission_2021 GROUP BY college'\n", + "cursor.execute(sql)\n", + "results = cursor.fetchall()\n", + "i = 1\n", + "for result in results:\n", + " #m_xx.clear()\n", + " m_code = result[0]\n", + " m_nian ='2021'\n", + " m_lb = 'z'\n", + " m_xx.setdefault(m_code,{})\n", + " m_xx[m_code].setdefault(m_nian,{})\n", + " m_xx[m_code][m_nian].setdefault(m_lb,{})\n", + " m_xx[m_code][m_nian][m_lb] ['name']= '综合'\n", + " m_xx[m_code][m_nian][m_lb] ['dispense']= int(result[1])\n", + " m_xx[m_code][m_nian][m_lb] ['num_min']= result[2]\n", + " m_xx[m_code][m_nian][m_lb] ['rank_min']= result[3] \n", + " myquery = {'code':m_code}\n", + " colleges = mycol.find(myquery,{ \"_id\": 0, \"admission\": 1 })\n", + " for x in colleges:\n", + " for k, v in x.items():\n", + " for k1, v1 in v.items():\n", + " m_xx[m_code][k1] = v1\n", + "fl_name = 'data/admission17-21.json'\n", + "with open(fl_name,'w') as fl:\n", + " json.dump(m_xx,fl)\n", + "print('ok!')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2021年专业录取分数及位次" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "metadata": { + "execution": { + "iopub.execute_input": "2022-06-15T09:08:30.396155Z", + "iopub.status.busy": "2022-06-15T09:08:30.395636Z", + "iopub.status.idle": "2022-06-15T09:08:39.230104Z", + "shell.execute_reply": "2022-06-15T09:08:39.228838Z", + "shell.execute_reply.started": "2022-06-15T09:08:30.396108Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import pymysql\n", + "import pymongo\n", + "import decimal\n", + "\n", + "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", + "mydb = myclient[\"gaokao\"]\n", + "mycol = mydb[\"college_2021\"]\n", + "mycol1 = mydb[\"admission_2021\"]\n", + "\n", + "m_col = {}\n", + "m_spe = {}\n", + "m_xx = {}\n", + "for x in mycol.find({\"code\":{'$exists': 'true'}},{\"_id\": 0, \"code\": 1, \"name\": 1}):\n", + " m_col[x['code']] = x['name']\n", + "\n", + "\n", + "db = pymysql.connect(host = \"localhost\",user = \"songyi\",password = \"yylzs\",database = \"gaokao\" )\n", + "cursor = db.cursor()\n", + "sql = 'SELECT a.code,a.college,a.name FROM speciality AS a WHERE a.nian=\"2021\"'\n", + "cursor.execute(sql)\n", + "results = cursor.fetchall()\n", + "for result in results:\n", + " m_spe.setdefault(result[1],{}) \n", + " m_spe[result[1]][result[0]] = result[2]\n", + "sql = 'SELECT * FROM admission_2021 AS a where college not in (\"D628\",\"D440\",\"Y010\",\"D245\") ORDER BY a.rank_min'\n", + "cursor.execute(sql)\n", + "results = cursor.fetchall()\n", + "i = 0\n", + "m_min = 0\n", + "ii = 0\n", + "for result in results:\n", + " m_xx.clear()\n", + " if result[4] == m_min:\n", + " ii = ii\n", + " i = i+1\n", + " else:\n", + " i = i+1\n", + " ii = i\n", + " m_min = result[6]\n", + " \n", + " m_xx['pos'] = ii\n", + " m_xx['col_code'] = result[1]\n", + " m_xx['col_name'] = m_col[result[1]]\n", + " m_xx['spe_code'] = result[2]\n", + " m_xx['spe_name'] = m_spe[result[1]][result[2]]\n", + " m_xx['plan'] = result[3]\n", + " m_xx['num_min'] = result[4] \n", + " m_xx['rank_min'] = result[5]\n", + " m_xx['nian'] = '2021' \n", + " mycol1.insert_one(m_xx)\n", + " #print(m_xx)\n", + "print('ok')" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -176,7 +371,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "tags": [] + }, "outputs": [], "source": [ "import pymysql\n", @@ -187,7 +384,7 @@ "mycol = mydb[\"college\"]\n", "m_xx = {}\n", "m_mongo = {}\n", - "db = pymysql.connect(\"localhost\",\"root\",\"songyi\",\"gaokao\" )\n", + "db = pymysql.connect(host = \"localhost\",user = \"root\",password = \"songyi\",database = \"gaokao\" )\n", "cursor = db.cursor()\n", "sql = 'SELECT college,SUM(num_dispense),min(num_min),max(RANK_min) FROM admission_2020 GROUP BY college'\n", "cursor.execute(sql)\n", @@ -436,7 +633,7 @@ { "cell_type": "markdown", "metadata": { - "toc-hr-collapsed": true, + "tags": [], "toc-nb-collapsed": true }, "source": [ @@ -503,8 +700,8 @@ "import openpyxl\n", "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", "mydb = myclient[\"gaokao\"]\n", - "mycol = mydb[\"college\"]\n", - "m_mongo = {\"code\":'Y022','name':'山东科技大学','charge':'山东省','city':'青岛市','grade':'本科','note':'校企合作，与青软实训教育科技股份有限公司'}\n", + "mycol = mydb[\"college_2021\"]\n", + "m_mongo = {\"code\":'H027','name':'北京师范大学（珠海校区）','charge':'教育部','city':'珠海市','grade':'本科','note':''}\n", "mycol.insert_one(m_mongo) \n", "print(m_mongo['name'] + '导入成功！')\n" ] @@ -512,7 +709,6 @@ { "cell_type": "markdown", "metadata": { - "toc-hr-collapsed": true, "toc-nb-collapsed": true }, "source": [ @@ -553,6 +749,262 @@ "db.close()\n" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 导入2021年录取数据" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 导出2021年录取数据并生成分数" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "filename = 'data/17-21年一分一段表.json'\n", + "with open(filename,'r') as fl:\n", + " m_xx = json.load(fl)\n", + "data = m_xx['2021']['z']\n", + "yfyd = {}\n", + "for k, v in data.items():\n", + " list1 = []\n", + " list1 = (v['min_rank'],v['max_rank'])\n", + " yfyd[k] = list1\n", + "dict1 = {}\n", + "filename = 'data/山东省2021年普通类常规批第1次志愿投档情况表.xlsx'\n", + "wb = openpyxl.load_workbook(filename)\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "del data1[0:2]\n", + "m_num = 1\n", + "i = 1\n", + "for items in data1:\n", + " m_rank = items[3]\n", + " list1 = []\n", + " for k, v in yfyd.items():\n", + " if m_rank >=v[1] and m_rank <=v[0]:\n", + " m_num = int(k)\n", + " break\n", + " list1 = (items[0],items[1],items[2],items[3],m_num)\n", + " dict1[i] = list1\n", + " i += 1 \n", + "with open('data/2021.json','w') as fl2:\n", + " json.dump(dict1,fl2) \n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2021年录取数据导入mysql数据库" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pymysql\n", + "import json\n", + "\n", + "l_code = []\n", + "l_new = []\n", + "l_data = []\n", + "db = pymysql.connect(host = \"localhost\",user = \"root\",password = \"songyi\",database = \"gaokao\" )\n", + "cursor = db.cursor()\n", + "\n", + "sql = 'select code from college'\n", + "cursor.execute(sql)\n", + "results = cursor.fetchall()\n", + "for result in results:\n", + " l_code.append(result[0])\n", + "\n", + "with open('data/2021.json','r') as fl:\n", + " m_xx = json.load(fl)\n", + "for k, v in m_xx.items():\n", + " #code = v[1][:4]\n", + " l_data.append([v[1][:4],v[0][:2],v[2],v[4],v[3]])\n", + "\n", + "sql = \"insert into admission_2021 (college,speciality,plan,num_min,rank_min,nian) values(%s,%s,%s,%s,%s,'2021')\"\n", + "try:\n", + " cursor.executemany(sql,l_data)\n", + " db.commit()\n", + " print(\"已添加！\")\n", + "except:\n", + " # 如果发生错误则回滚\n", + " print(\"error!\")\n", + " db.rollback() \n", + "db.close() " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 整理2021年招生学校" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pymysql\n", + "import json\n", + "\n", + "l_code = []\n", + "l_new = []\n", + "l_data = []\n", + "db = pymysql.connect(host = \"localhost\",user = \"root\",password = \"songyi\",database = \"gaokao\" )\n", + "cursor = db.cursor()\n", + "\n", + "sql = 'select code from college'\n", + "cursor.execute(sql)\n", + "results = cursor.fetchall()\n", + "for result in results:\n", + " l_code.append(result[0])\n", + "\n", + "with open('data/2021.json','r') as fl:\n", + " m_xx = json.load(fl)\n", + "for k, v in m_xx.items():\n", + " code = v[1][:4]\n", + " if code not in l_code:\n", + " l_code.append(code)\n", + " l_new.append([v[1][0:4],v[1][4:]])\n", + " #l_data.append([v[1][:4],v[0][:2],v[2],v[4],v[3]])\n", + "sql = \"insert into college (code,name) values(%s,%s)\"\n", + "try:\n", + " cursor.executemany(sql,l_new)\n", + " db.commit()\n", + " print(\"已添加！\")\n", + "except:\n", + " # 如果发生错误则回滚\n", + " print(\"error!\")\n", + " db.rollback() \n", + "db.close() " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "execution": { + "iopub.execute_input": "2022-06-15T05:33:15.229612Z", + "iopub.status.busy": "2022-06-15T05:33:15.229087Z", + "iopub.status.idle": "2022-06-15T05:33:15.235612Z", + "shell.execute_reply": "2022-06-15T05:33:15.233803Z", + "shell.execute_reply.started": "2022-06-15T05:33:15.229565Z" + } + }, + "source": [ + "### 整理2021年新增招生学校" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import pymongo\n", + "import decimal\n", + "import json\n", + "\n", + "\n", + "myclient = pymongo.MongoClient('mongodb://localhost:27017/')\n", + "mydb = myclient[\"gaokao\"]\n", + "mycol = mydb[\"college_2021\"]\n", + "mycol1 = mydb[\"admission_2020\"]\n", + "\n", + "m_col = {}\n", + "m_xx = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "for x in mycol.find({\"code\":{'$exists': 'true'}},{\"_id\": 0, \"code\": 1, \"name\": 1}):\n", + " m_col[x['code']] = x['name']\n", + "\n", + "with open('data/2021.json','r') as fl:\n", + " m_xx = json.load(fl)\n", + "for k, v in m_xx.items():\n", + " #code = v[1][:4]\n", + " dict1[v[1][:4]]= v[1][4:]\n", + "for code in dict1.keys():\n", + " if code not in m_col.keys():\n", + " #print(dict1[code])\n", + " \n", + " if dict1[code] not in m_col.values():\n", + " list1.append(code)\n", + "print(list1)\n", + "for x in mycol.find({\"id_code\":{'$exists': 'true'}},{\"_id\": 0, \"id_code\": 1, \"name\": 1}):\n", + " m_col[x['id_code']] = x['name']\n", + "for code in list1:\n", + " if dict1[code] in m_col.values():\n", + " myquery = {'name':dict1[code]}\n", + " m_new = {\"$set\":{'code':code}}\n", + " mycol.update_one(myquery,m_new)\n", + " print(dict1[code])\n", + " #print(dict1[code])\n", + " \n", + " \n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 整理2021年新增专业" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pymysql\n", + "import json\n", + "\n", + "l_data = []\n", + "db = pymysql.connect(host = \"localhost\",user = \"root\",password = \"songyi\",database = \"gaokao\" )\n", + "cursor = db.cursor()\n", + "\n", + "with open('data/2021.json','r') as fl:\n", + " m_xx = json.load(fl)\n", + "for k, v in m_xx.items():\n", + " l_data.append([v[0][:2],v[0][2:],v[1][0:4],'2021'])\n", + "sql = \"insert into speciality (code,name,college,nian) values(%s,%s,%s,%s)\"\n", + "try:\n", + " cursor.executemany(sql,l_data)\n", + " db.commit()\n", + " print(\"已添加！\")\n", + "except:\n", + " # 如果发生错误则回滚\n", + " print(\"error!\")\n", + " db.rollback() \n", + "db.close() " + ] + }, { "cell_type": "markdown", "metadata": { @@ -614,7 +1066,6 @@ { "cell_type": "markdown", "metadata": { - "toc-hr-collapsed": true, "toc-nb-collapsed": true }, "source": [ @@ -674,26 +1125,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { - "execution": { - "iopub.execute_input": "2022-05-24T10:20:31.546520Z", - "iopub.status.busy": "2022-05-24T10:20:31.546005Z", - "iopub.status.idle": "2022-05-24T10:20:31.760806Z", - "shell.execute_reply": "2022-05-24T10:20:31.759535Z", - "shell.execute_reply.started": "2022-05-24T10:20:31.546476Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok!\n" - ] - } - ], + "outputs": [], "source": [ "import openpyxl\n", "import pymysql\n", @@ -734,25 +1170,9 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "execution": { - "iopub.execute_input": "2022-05-24T10:23:05.570230Z", - "iopub.status.busy": "2022-05-24T10:23:05.569724Z", - "iopub.status.idle": "2022-05-24T10:23:05.703267Z", - "shell.execute_reply": "2022-05-24T10:23:05.702038Z", - "shell.execute_reply.started": "2022-05-24T10:23:05.570184Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok!\n" - ] - } - ], + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "import pymysql\n", "import json\n", @@ -824,7 +1244,6 @@ { "cell_type": "markdown", "metadata": { - "toc-hr-collapsed": true, "toc-nb-collapsed": true }, "source": [ @@ -863,7 +1282,6 @@ { "cell_type": "markdown", "metadata": { - "toc-hr-collapsed": true, "toc-nb-collapsed": true }, "source": [ @@ -873,7 +1291,6 @@ { "cell_type": "markdown", "metadata": { - "toc-hr-collapsed": true, "toc-nb-collapsed": true }, "source": [ @@ -1358,458 +1775,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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\"\"
\"Intro
\"Girl
\"Screen
\"trail

MOVE is a contemporary physiotherapy and rehabilitation

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practice situated in the heart of Ballito overlooking the rolling cane

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farms of The Dolphin Coast.

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We provide a focussed and comprehensive service for people of all ages to have their aches, pains, sports injuries and post-operative rehabilitation performed under one roof. Our clients of all ages and abilities can’t help but feel comfortable and relaxed, whilst being professionally managed by qualified and experienced HPCSA-registered physiotherapists and biokineticists throughout the course of their recovery and rehabilitation.

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Our mission is to develop our clients' understanding and greater ownership of their musculoskeletal condition in order to take back control of their health and wellbeing. All stakeholders can be assured of receiving evidence-based treatment and rehabilitation treatments and programmes.

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We know how important it is for you to regain your health as quickly

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as possible, and in line with your own goals. Our extensive

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international experience and our own personal sports

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background make us the ideal place to get you

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‘back on track’ as quickly as possible.

Our Practice

\"Mountain
\"Screen

Meet The Team

\"Andrew

Andrew Leipus

Sports & Musculoskeletal Physiotherapist

Physiotherapist

\"Mieke

Kaitlin Holgate

Mieke Potgieter

Biokineticist / Sports & Therapeutic Massage

\"India

Musculoskeletal Physiotherapy

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Sports & Exercise Physiotherapy

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Orthopaedic Physiotherapy & Rehabilitation

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Injury Prevention & Screening

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Biomechanical & Movement Analysis

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Manual Therapies

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Exercise Rehabilitation

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Shockwave Therapy

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Hydrotherapy

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Sports Massage 

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Private Rehabilitation Gym

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Taping

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Needling

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Clinical Pilates

Our Services

\"Kait
\"HPCSA
\"SASMA
\"SPSA
\"SASP
\"APA_M_H_POS_CMYK.jpg\"
\"SASMA

COPYRIGHT ​© 2019 MOVE Sports Physio & Rehab, Ballito, South Africa

 
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