diff --git a/体测单位/安庆石化.ipynb b/体测单位/安庆石化.ipynb new file mode 100644 index 0000000..588c622 --- /dev/null +++ b/体测单位/安庆石化.ipynb @@ -0,0 +1,698 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "bfa33ac5-8fe9-4845-8b1d-56c509afcb83", + "metadata": {}, + "source": [ + "## 体质检测管理" + ] + }, + { + "cell_type": "markdown", + "id": "78dc4774-e1b1-40d8-8783-12ada9db45be", + "metadata": {}, + "source": [ + "### 体测人员导入" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d2ea710d-34be-47ed-afd8-343137ee9ac5", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/安庆石化2022.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "list1 = []\n", + "person = {}\n", + "new_code = []\n", + "for n in range(2, sheet.max_row+1):\n", + " code = int(sheet.cell(n, 2).value)\n", + " person.setdefault(code, {})\n", + " dict1 = {}\n", + " dict1['name'] = sheet.cell(n, 3).value\n", + " dict1['sex'] = sheet.cell(n, 4).value\n", + " dict1['unit'] = sheet.cell(n, 1).value\n", + " dict1['id_num'] = sheet.cell(n,6).value\n", + " person[code] = dict1\n", + "filename = 'data/安庆炼化人员名单2022.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(person, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "5178b8fc-408a-4d95-915c-2164f2596bc3", + "metadata": {}, + "source": [ + "### 修改人员部门" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6e19f626-9732-4426-9124-b6f4ef5542bc", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "\n", + "wb = openpyxl.load_workbook('data/2022年安庆石化体测数据调整情况0921.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "data1 =list(sheet.values)\n", + "del data1[:2]\n", + "\n", + "filename = 'data/安庆炼化人员名单2022.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "for item in data1:\n", + " if str(item[0]) in dict1.keys():\n", + " dict1[str(item[0])]['unit'] = item[4]\n", + " print(item[0],item[1],'已修改')\n", + " else:\n", + " print(item[0],item[1],'不存在！')\n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print('ok') " + ] + }, + { + "cell_type": "markdown", + "id": "7377e5d1-815d-4eb8-9bfa-9ca3a210a6e0", + "metadata": {}, + "source": [ + "### 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "id": "6e738a0d-ffbf-4a73-9021-d024609a6eb4", + "metadata": { + "execution": { + "iopub.execute_input": "2022-09-21T23:52:36.616675Z", + "iopub.status.busy": "2022-09-21T23:52:36.616155Z", + "iopub.status.idle": "2022-09-21T23:52:36.862741Z", + "shell.execute_reply": "2022-09-21T23:52:36.861607Z", + "shell.execute_reply.started": "2022-09-21T23:52:36.616627Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\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", + "#SQL语句为：\n", + "# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n", + "\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "#print(\"\\n运动项目信息：\")\n", + "filename = 'data/136_220921.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[4])\n", + " m_item = str(result[0]) \n", + " re_ta.setdefault(user,{}) \n", + " re_ta[user]['name'] = str(result[6])\n", + " re_ta[user]['unit'] = str(result[5])\n", + " item_name = item[m_item]['name']\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[1])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + " re_ta[user][item_name]['得分'] =result[2]\n", + "filename = 'data/result_2209.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "540b0225-8651-4b37-8bc8-3899efbd71fb", + "metadata": {}, + "source": [ + "### 比照往年年度人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "46ccfb31-7cd8-4cc4-8d70-18a14f7943e8", + "metadata": { + "execution": { + "iopub.execute_input": "2022-09-21T23:59:09.201740Z", + "iopub.status.busy": "2022-09-21T23:59:09.201191Z", + "iopub.status.idle": "2022-09-21T23:59:10.457924Z", + "shell.execute_reply": "2022-09-21T23:59:10.456853Z", + "shell.execute_reply.started": "2022-09-21T23:59:09.201691Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/result_安庆.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "dict2 = {}\n", + "filename = 'data/安庆石化2022.xlsx'\n", + "wb = openpyxl.load_workbook(filename)\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "del data1[0]\n", + "for item in data1:\n", + " id = item[5]\n", + " dict2[id] = [item[2],item[1],item[0],item[3],item[4]]\n", + "#print(dict2)\n", + "dict3 = {}\n", + "for k, v in dict1.items():\n", + " if 'id' in v.keys():\n", + " if v['id'] in dict2.keys():\n", + " v['old_code'] = int(k)\n", + " code = int(dict2[v['id']][1])\n", + " dict3.setdefault(code, {})\n", + " dict3[code] = v \n", + "filename = 'data/安庆2021.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict3, fl,ensure_ascii=False) \n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "a9bdeab3-5ddf-4f80-90fb-9301a2ff064a", + "metadata": {}, + "source": [ + "### 比照人员两年成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "id": "351aae7c-a3aa-4c22-99b9-701cf2395a85", + "metadata": { + "execution": { + "iopub.execute_input": "2022-09-22T00:00:18.837708Z", + "iopub.status.busy": "2022-09-22T00:00:18.837131Z", + "iopub.status.idle": "2022-09-22T00:00:20.116787Z", + "shell.execute_reply": "2022-09-22T00:00:20.115669Z", + "shell.execute_reply.started": "2022-09-22T00:00:18.837659Z" + } + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/安庆2021.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "list1 = dict1.keys()\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','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','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", + "filename = 'data/result_2209.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "list4 = []\n", + "for k, v in dict2.items():\n", + " if k in list1:\n", + " list2 = [k,v['name'],v['unit']]\n", + " list3 = []\n", + " for item in items:\n", + " # 获取2022年成绩\n", + " if item in v.keys():\n", + " list2.append(v[item]['成绩']) \n", + " \n", + " else:\n", + " list2.append('')\n", + " # 获取2021年成绩\n", + " if item in dict1[k].keys():\n", + " list3.append(dict1[k][item]['成绩']) \n", + " else:\n", + " list3.append('')\n", + " for cj in list3:\n", + " list2.append(cj) \n", + " list4.append(list2)\n", + "filename = 'data/安庆石化成绩对照220921.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "sheet.append(title)\n", + "for row in list4:\n", + " sheet.append(row)\n", + " \n", + "wb.save(filename) " + ] + }, + { + "cell_type": "markdown", + "id": "f623d291-8d66-4246-a34f-a051115596ef", + "metadata": {}, + "source": [ + "## 体检报告数据管理" + ] + }, + { + "cell_type": "markdown", + "id": "38261495-3aa4-4572-a6e1-4e300c29be66", + "metadata": {}, + "source": [ + "### 从excel表导入数据" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "31a47b5f-f48e-4d6d-af8f-dd5383b5c5dd", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import os\n", + "import openpyxl\n", + "import json\n", + "\n", + "fi_path = 'data/安庆/'\n", + "sheet_list = ['一览表', 'Ⅱ级高血压、Ⅲ级高血压', '心电图异常']\n", + "dict1 = {}\n", + "fl=glob.glob(f'{fi_path}*.xlsx')\n", + "for fn in fl:\n", + " print(fn) \n", + " wb = openpyxl.load_workbook(fn)\n", + " wb_name = os.path.basename(fn).split('.')[0]\n", + " dict1.setdefault(wb_name,{})\n", + " for sheet in wb.sheetnames:\n", + " ws = wb[sheet]\n", + " if sheet == '一览表':\n", + " dict1[wb_name].setdefault(sheet,{})\n", + " for n in range(2,ws.max_row+1):\n", + " dict2 = {}\n", + " m_name = ws.cell(n,4).value\n", + " dict1[wb_name][sheet].setdefault(m_name,{})\n", + " dict2['部门'] = ws.cell(n,2).value\n", + " dict2['工号'] = ws.cell(n,3).value\n", + " dict2['性别'] = ws.cell(n,5).value\n", + " dict2['年龄'] = ws.cell(n,6).value\n", + " dict2['接害工龄'] = ws.cell(n,7).value\n", + " dict2['工种'] = ws.cell(n,8).value\n", + " dict2['危害因素'] = ws.cell(n,9).value\n", + " dict2['在岗类型'] = ws.cell(n,10).value\n", + " dict2['体检结果'] = ws.cell(n,11).value\n", + " dict2['检查结果'] = ws.cell(n,12).value\n", + " dict1[wb_name][sheet][m_name] = dict2\n", + " \n", + " if sheet == 'Ⅱ级高血压、Ⅲ级高血压':\n", + " dict1[wb_name].setdefault(sheet,{})\n", + " for n in range(2,ws.max_row+1):\n", + " dict2 = {}\n", + " m_name = ws.cell(n,4).value\n", + " dict1[wb_name][sheet].setdefault(m_name,{})\n", + " dict2['工号'] = ws.cell(n,3).value\n", + " dict2['性别'] = ws.cell(n,5).value\n", + " dict2['年龄'] = ws.cell(n,6).value\n", + " dict2['接害工龄'] = ws.cell(n,7).value \n", + " dict2['总结'] = ws.cell(n,11).value\n", + " dict2['诊断'] = ws.cell(n,12).value\n", + " dict1[wb_name][sheet][m_name] = dict2\n", + " \n", + " if sheet == '心电图异常':\n", + " dict1[wb_name].setdefault(sheet,{})\n", + " for n in range(2,ws.max_row+1):\n", + " dict2 = {}\n", + " m_name = ws.cell(n,4).value\n", + " dict1[wb_name][sheet].setdefault(m_name,{})\n", + " dict2['工号'] = ws.cell(n,3).value\n", + " dict2['性别'] = ws.cell(n,5).value\n", + " dict2['年龄'] = ws.cell(n,6).value\n", + " dict2['接害工龄'] = ws.cell(n,7).value \n", + " dict2['总结'] = ws.cell(n,11).value\n", + " dict2['诊断'] = ws.cell(n,12).value\n", + " dict2['备注'] = ws.cell(n,14).value\n", + " dict1[wb_name][sheet][m_name] = dict2\n", + " \n", + " wb.close()\n", + "with open('data/安庆体检报告.json','w') as fl:\n", + " json.dump(dict1,fl) \n" + ] + }, + { + "cell_type": "markdown", + "id": "9a564e48-95e3-4255-b70e-e845c59edfaf", + "metadata": {}, + "source": [ + "### 体检结果分解" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56a0804b-8626-4c52-8ff4-29d4322b1bdc", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import re\n", + "with open('data/安庆体检报告.json','r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "mo1 = r'[一二三四五六七八九十]、'\n", + "list_ks = set()\n", + "#dict2 = dict1['丙烯腈装置']['一览表']\n", + "#print(dict2)\n", + "for k, v in dict1.items():\n", + " print(k)\n", + " for k1, v1 in v['一览表'].items():\n", + " if v1['体检结果']:\n", + " ss = v1['体检结果']\n", + " \n", + " list1 = re.split(mo1,ss)\n", + " if '' in list1:\n", + " list1.remove('')\n", + " for item in list1:\n", + " list_ks.add(item.split('_x000D_')[0])\n", + " \n", + "print(list_ks)\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54515a61-6711-44a8-9959-8a25d21ae8a6", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import re\n", + "with open('data/安庆体检报告.json','r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "mo1 = r'[一二三四五六七八九十]、'\n", + "list_ks = set()\n", + "dict2 = dict1['丙烯腈装置']['一览表']\n", + "dict3 = {}\n", + "i = 1\n", + "#print(dict2)\n", + "for k, v in dict2.items():\n", + " dict3.setdefault(i,{})\n", + " ss = v['体检结果']\n", + " list1 = re.split(mo1,ss)\n", + " list1.remove('')\n", + " for item in list1:\n", + " list2 = item.split('_x000D_')\n", + " if '' in list2:\n", + " list2.remove('')\n", + " list_ks.add(list2[0])\n", + " dict3[i][item.split('_x000D_')[0]] =list2[1:]\n", + " i+=1\n", + "print(list_ks)\n", + "#print(dict3)\n", + "for k, v in dict3.items():\n", + " for k1, v1 in v.items():\n", + " if k1 =='检验科':\n", + " for item in v1:\n", + " if '【' in item:\n", + " v1.remove(item)\n", + " print(v1)\n", + " if k1 =='彩超检查室':\n", + " for item in v1:\n", + " if '【' in item:\n", + " v1.remove(item)\n", + " #print(v1)\n", + " if k1 =='心电图检查室':\n", + " for item in v1:\n", + " if '【' in item:\n", + " v1.remove(item)\n", + " #print(v1)\n", + " if k1 =='肺功能检查室':\n", + " for item in v1:\n", + " if '【' in item:\n", + " v1.remove(item)\n", + " #print(v1)\n", + " if k1 =='碳14尿素':\n", + " for item in v1:\n", + " if '【' in item:\n", + " v1.remove(item)\n", + " #print(v1)" + ] + }, + { + "cell_type": "markdown", + "id": "5968c4b2-d866-4d91-b3e5-f0636420ba9a", + "metadata": {}, + "source": [ + "### 病症统计（Ⅱ级高血压、Ⅲ级高血压、心电图异常）" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96d9656e-7f63-4981-8272-21e1ef051287", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import re\n", + "with open('data/安庆体检报告.json','r') as fl:\n", + " dict1 = json.load(fl) \n", + "dict3 = {}\n", + "for k, v in dict1.items():\n", + " bm = k\n", + " dict2 = {}\n", + " if 'Ⅱ级高血压、Ⅲ级高血压' in v.keys():\n", + " for k1, v1 in v['Ⅱ级高血压、Ⅲ级高血压'].items():\n", + " mbz = 'Ⅱ级高血压、Ⅲ级高血压'\n", + " dict2.setdefault(k1,{})\n", + " dict2[k1]['工号'] = v1['工号']\n", + " dict2[k1]['性别'] = v1['性别']\n", + " dict2[k1]['年龄'] = v1['年龄']\n", + " dict2[k1]['接害工龄'] = v1['接害工龄']\n", + " dict2[k1].setdefault(mbz,{})\n", + " dict2[k1][mbz]['总结'] = v1['总结']\n", + " dict2[k1][mbz]['诊断'] = v1['诊断']\n", + " if '心电图异常' in v.keys():\n", + " for k1, v1 in v['心电图异常'].items():\n", + " mbz = '心电图异常'\n", + " dict2.setdefault(k1,{})\n", + " dict2[k1]['工号'] = v1['工号']\n", + " dict2[k1]['性别'] = v1['性别']\n", + " dict2[k1]['年龄'] = v1['年龄']\n", + " dict2[k1]['接害工龄'] = v1['接害工龄']\n", + " dict2[k1].setdefault(mbz,{})\n", + " dict2[k1][mbz]['总结'] = v1['总结']\n", + " dict2[k1][mbz]['诊断'] = v1['诊断']\n", + " if '备注' in v1.keys():\n", + " dict2[k1][mbz]['备注'] = v1['备注']\n", + " if len(dict2) >0:\n", + " dict3[k] = dict2\n", + "with open('data/安庆体检报告_人员整理.json','w') as fl:\n", + " json.dump(dict3,fl) \n", + " \n" + ] + }, + { + "cell_type": "markdown", + "id": "30225b10-4307-4617-a274-cce8771e8983", + "metadata": {}, + "source": [ + "### 病症筛选（Ⅱ级高血压、Ⅲ级高血压、心电图异常）" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4867b96-e7ba-420c-9b6d-8bc50eb936ae", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import re\n", + "with open('data/安庆体检报告_人员整理.json','r') as fl:\n", + " dict1 = json.load(fl) \n", + "mo1 = r'心电图结论:(.*?)_x000D_'\n", + "mo =r'血压:(.*?)_x000D_'\n", + "mo2 = '(.?)级高血压'\n", + "dict2 = {}\n", + "\n", + "for k, v in dict1.items():\n", + " bm = k\n", + " dict2.setdefault(bm,{})\n", + " for k1, v1 in v.items():\n", + " dict2[bm].setdefault(k1,{})\n", + " dict2[bm][k1]['工号'] = v1['工号']\n", + " dict2[bm][k1]['性别'] = v1['性别']\n", + " if 'Ⅱ级高血压、Ⅲ级高血压' in v1.keys():\n", + " \n", + " s = v1['Ⅱ级高血压、Ⅲ级高血压']['诊断']\n", + " if '级高血压' in s:\n", + " list2 = re.search( mo2, s)\n", + " dict2[bm][k1]['高血压'] = [list2.group(1)]\n", + " ss = v1['Ⅱ级高血压、Ⅲ级高血压']['总结']\n", + " if '血压:' in ss:\n", + " list1 = re.search( mo, ss)\n", + " dict2[bm][k1]['高血压'].append(list1.group(1))\n", + " else:\n", + " dict2[bm][k1]['高血压'].append('无血压数据')\n", + " if '心电图异常' in v1.keys():\n", + " dict2[bm][k1].setdefault('心电图',[])\n", + " ss = v1['心电图异常']['总结']\n", + " if '心电图结论:' in ss:\n", + " list1 = re.search( mo1, ss)\n", + " dict2[bm][k1]['心电图'] = [list1.group(1)]\n", + " #print(k,k1,list1.group(1),list2.group(1))\n", + " else:\n", + " dict2[bm][k1]['心电图'].append(v1['心电图异常']['备注'])\n", + "print(len(dict2))\n", + "with open('data/安庆体检报告_人员统计.json','w') as fl:\n", + " json.dump(dict2,fl) " + ] + }, + { + "cell_type": "markdown", + "id": "183524e5-61ee-48a9-87f6-f07a78b88504", + "metadata": {}, + "source": [ + "### 病症导出至Excel" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c0aa1258-a5f9-44c5-a959-ab29a053c8a4", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "list1 = []\n", + "with open('data/安庆体检报告_人员统计.json','r') as fl:\n", + " dict1 = json.load(fl) \n", + "for k, v in dict1.items():\n", + " bm =k\n", + " for k1, v1 in v.items():\n", + " #print(bm,k1)\n", + " list2 = []\n", + " xm = k1\n", + " if '工号' in v1.keys():\n", + " gh = v1['工号']\n", + " else:\n", + " gh = ''\n", + " sex = v1['性别']\n", + " if '高血压' in v1.keys():\n", + " lx = v1['高血压'][0]+'级高血压'\n", + " xyz = v1['高血压'][1]\n", + " else:\n", + " lx = ''\n", + " xyz = ''\n", + " if '心电图' in v1.keys():\n", + " xdt = v1['心电图'][0]\n", + " else:\n", + " xdt = ''\n", + " list2 = [bm,xm,gh,sex,lx,xyz,xdt]\n", + " list1.append(list2)\n", + "#print(list1) \n", + "\n", + "filename = 'data/安庆体检情况表.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "title = ['部门','员工姓名','工号','性别','高血压级别','血压值','心电图异常情况']\n", + "sheet.append(title)\n", + "for row in list1:\n", + " sheet.append(row)\n", + "\n", + "\n", + "wb.save(filename)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f2f2f206-2558-4cc3-9519-c4c677b71237", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}