From 6bb4c5d7ae1715ca33b47e6ac90ed2409d4405f7 Mon Sep 17 00:00:00 2001 From: 512song Date: Sun, 26 Nov 2023 09:27:24 +0000 Subject: [PATCH] 20231126 --- .../.ipynb_checkpoints/积家-checkpoint.ipynb | 696 ++++++++++++++++++ 体测单位/北海炼化.ipynb | 111 +-- 2 files changed, 705 insertions(+), 102 deletions(-) create mode 100644 体测单位/.ipynb_checkpoints/积家-checkpoint.ipynb diff --git a/体测单位/.ipynb_checkpoints/积家-checkpoint.ipynb b/体测单位/.ipynb_checkpoints/积家-checkpoint.ipynb new file mode 100644 index 0000000..010cc2d --- /dev/null +++ b/体测单位/.ipynb_checkpoints/积家-checkpoint.ipynb @@ -0,0 +1,696 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4c74893b-fca2-45f8-8254-2060886909ec", + "metadata": {}, + "source": [ + "## 人员信息导入" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "abde40cd-d8e3-434d-ade2-207cf80cab49", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T05:16:54.569572Z", + "iopub.status.busy": "2023-10-27T05:16:54.568768Z", + "iopub.status.idle": "2023-10-27T05:16:54.594762Z", + "shell.execute_reply": "2023-10-27T05:16:54.592567Z", + "shell.execute_reply.started": "2023-10-27T05:16:54.569497Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "filename = 'data/data_世纪花园.json'\n", + "with open(filename,'r') as fl:\n", + " list1 = json.load(fl)\n", + "\n", + "dict1 = {}\n", + "for item in list1:\n", + " id = int(item['id'])\n", + " dict1.setdefault(str(id),{})\n", + " dict1[str(id)]['name'] = item['name']\n", + " dict1[str(id)]['sex'] = item['gender']\n", + " dict1[str(id)]['birth'] = item['birth']\n", + " dict1[str(id)]['phone'] = item['phone']\n", + " if item['unit'] == '':\n", + " dict1[str(id)]['unit'] = '未确定'\n", + " else:\n", + " dict1[str(id)]['unit'] = item['unit']\n", + "filename = 'data/世纪花园人员信息.json'\n", + "with open(filename, 'w') as fl:\n", + " json.dump(dict1, fl, ensure_ascii=False)\n", + "print('ok')" + ] + }, + { + "cell_type": "markdown", + "id": "0dc90cf8-0a51-49ab-8f93-81acfd359e63", + "metadata": {}, + "source": [ + "## 获取人员测试成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "693820f4-f79d-4e6b-9901-0aae57bc6c92", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T05:21:49.693975Z", + "iopub.status.busy": "2023-10-27T05:21:49.693687Z", + "iopub.status.idle": "2023-10-27T05:21:49.714898Z", + "shell.execute_reply": "2023-10-27T05:21:49.714209Z", + "shell.execute_reply.started": "2023-10-27T05:21:49.693956Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "84\n", + "84\n" + ] + } + ], + "source": [ + "import json\n", + "import datetime\n", + "import csv\n", + "from datetime import date\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", + "item['1']['en'] = 'lung'\n", + "item['2']['en'] = 'grip'\n", + "item['3']['en'] = 'flexion'\n", + "item['4']['en'] = 'jump'\n", + "item['5']['en'] = 'pushup'\n", + "item['6']['en'] = 'balance'\n", + "item['7']['en'] = 'reaction'\n", + "item['8']['en'] = 'step'\n", + "item['9']['en'] = 'situp'\n", + "item['10']['en'] = 'height'\n", + "item['11']['en'] = 'weight'\n", + "\n", + "\n", + "re_ta = {}\n", + "dict1 = {}\n", + "list1 = []\n", + "filename = 'data/世纪花园人员信息.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl) \n", + "\n", + "filename = 'data/places_result_20231027.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", + "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n", + "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + "for result in list1:\n", + " user = str(result[2])\n", + " rq = date.fromisoformat(result[6].replace('/','-'))\n", + " if user in dict1.keys():\n", + " l_xm = []\n", + " m_item = str(result[3]) \n", + " re_ta.setdefault(user,{}) \n", + " re_ta[user]['name'] = dict1[user]['name']\n", + " re_ta[user]['sex'] = dict1[user]['sex']\n", + " if dict1[user]['sex'] == '男':\n", + " l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n", + " else:\n", + " l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n", + " re_ta[user]['unit'] = dict1[user]['unit']\n", + " birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n", + " #nian = int(birth[0].strip())\n", + " #yue = int(birth[1].strip())\n", + " #ri = int(birth[2].strip())\n", + " #print(k,nian,yue,ri)\n", + " item_name = item[m_item]['en'] \n", + " if item_name in l_xm: \n", + " days = (rq-birth).days \n", + " re_ta[user]['age'] = int(days/365)\n", + " re_ta[user]['month'] = int(days/365*12)\n", + " re_ta[user]['rq'] = result[6]\n", + "\n", + "\n", + " re_ta[user].setdefault(item_name,{}) \n", + " score = int(result[4])/item[m_item]['divisor'] \n", + " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", + "print(len(re_ta))\n", + "filename = 'data/result_世纪花园.json'\n", + "\n", + "with open(filename,'w') as fl:\n", + " json.dump(re_ta, fl, ensure_ascii=False) \n", + "print(len(re_ta))" + ] + }, + { + "cell_type": "markdown", + "id": "2d417d9a-ca85-4c9f-8673-11f5f1033d1f", + "metadata": {}, + "source": [ + "## 计算项目成绩" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "9230c78a-40d1-47ed-9bfc-94525b44f8f9", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T06:50:35.251325Z", + "iopub.status.busy": "2023-10-27T06:50:35.250643Z", + "iopub.status.idle": "2023-10-27T06:50:35.319251Z", + "shell.execute_reply": "2023-10-27T06:50:35.317670Z", + "shell.execute_reply.started": "2023-10-27T06:50:35.251263Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok!\n" + ] + } + ], + "source": [ + "import json\n", + "import time\n", + "\n", + "filename = '../item.json'\n", + "item = {}\n", + "unit = {}\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl) \n", + "for k,v in dict3.items():\n", + " item[k] = v\n", + "item['1']['en'] = 'lung'\n", + "item['2']['en'] = 'grip'\n", + "item['3']['en'] = 'flexion'\n", + "item['4']['en'] = 'jump'\n", + "item['5']['en'] = 'pushup'\n", + "item['6']['en'] = 'balance'\n", + "item['7']['en'] = 'reaction'\n", + "item['8']['en'] = 'step'\n", + "item['9']['en'] = 'situp'\n", + "item['10']['en'] = 'height'\n", + "item['11']['en'] = 'weight'\n", + "\n", + "filename = 'data/体质检测标准 (1).json' \n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "\n", + "\n", + "def cal_score(data1):\n", + " #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n", + " person = dict1['person']\n", + " criteria = dict1['criteria']\n", + " if data1['age'] >59:\n", + " data1['age'] = 59\n", + " if data1['age'] <20:\n", + " data1['age'] = 20\n", + " info = data1['sex']+str(data1['age'])\n", + " bz = person[info]\n", + " mx = criteria[bz][data1['item']]\n", + " result = data1['result'] \n", + " if data1['item'] == 'reaction':\n", + " for bz1 in mx:\n", + " if result > bz1:\n", + " #print(bz1)\n", + " score = mx.index(bz1,0)\n", + " break\n", + " else:\n", + " score = 5\n", + " else:\n", + " for bz1 in mx:\n", + " if result < bz1:\n", + " #print(bz1)\n", + " score = mx.index(bz1,0)\n", + " break\n", + " else:\n", + " score = 5\n", + " return(score)\n", + "filename = 'data/体质检测标准_BMI.json'\n", + "with open(filename,'r') as fl:\n", + " dict4 = json.load(fl) \n", + " \n", + "def cal_bmi(data1):\n", + " # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n", + " person = dict4['person']\n", + " criteria = dict4['criteria']\n", + " if data1['age'] > 59:\n", + " data1['age'] = 59\n", + " if data1['age'] <20:\n", + " data1['age'] = 20\n", + " info = data1['sex']+str(data1['age'])\n", + " bz = person[info]\n", + " #print(bz)\n", + " result = data1['result']\n", + " #print(data1['code'],result)\n", + " height = int(float(result.split(',')[0]))\n", + " weight = float(result.split(',')[1])\n", + " if str(height) not in criteria[bz]:\n", + " score = 1\n", + " else: \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", + " return score\n", + " \n", + " \n", + "\n", + "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", + "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", + "filename = 'data/result_世纪花园.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl) \n", + "for k, v in dict2.items():\n", + " #print(k)\n", + " if v['sex'] == '男':\n", + " sex = 'M'\n", + " else:\n", + " sex = 'F' \n", + " if 'height' in v.keys() and 'weight' in v.keys():\n", + " bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n", + " data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n", + " dict2[k]['bmi'] = {}\n", + " dict2[k]['bmi']['成绩'] = bmi_data\n", + " dict2[k]['bmi']['score'] = cal_bmi(data1)\n", + " for item_en in list_item:\n", + " if item_en in v.keys(): \n", + " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", + " dict2[k][item_en]['score'] = cal_score(data1)\n", + " #print(k,v[item_en]['成绩'],cal_score(data1))\n", + "\n", + "filename = f'data/result_世纪花园.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2,fl , ensure_ascii=False) \n", + "print('ok!') " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4365fd0d-1e79-48a3-b580-3041a1340815", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "e86acc03-06e2-4eaf-8207-e1ba834869d3", + "metadata": {}, + "source": [ + "## 问卷信息导入" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "c42bb7f4-ae16-4950-8fc9-97e7084e4615", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T06:52:29.033946Z", + "iopub.status.busy": "2023-10-27T06:52:29.033331Z", + "iopub.status.idle": "2023-10-27T06:52:29.132179Z", + "shell.execute_reply": "2023-10-27T06:52:29.130961Z", + "shell.execute_reply.started": "2023-10-27T06:52:29.033886Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ok\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "filename = 'data/世纪花园人员信息.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "wb = openpyxl.load_workbook('data/世纪花园问卷.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "dict1 = {}\n", + "dict3 = {}\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "list_bh = data1[0][1:]\n", + "#print(list_bh)\n", + "del data1[0]\n", + "for i in range(1,len(list_bh)+1):\n", + " list2 = []\n", + " \n", + " for item in data1:\n", + " list2.append(item[i])\n", + " dict1[list_bh[i-1]] = list2\n", + "filename = 'data/result_世纪花园.json'\n", + "with open(filename,'r') as fl:\n", + " dict2 = json.load(fl)\n", + "for k,v in dict1.items():\n", + " if str(k) in dict2.keys():\n", + " if v[0] is not None:\n", + " psy_yangmiao_old = v[:30]\n", + " #dict2[str(k)]['psy_yangmiao_old'] = psy_yangmiao_old\n", + " if v[30] is not None:\n", + " tcm = v[30:90]\n", + " #print(tcm,len(tcm))\n", + " if v[90] is not None:\n", + " spine = v[90:]\n", + " xx22 = spine[21]\n", + " xx23 = spine[22]\n", + " spine[21] = xx23\n", + " spine[22] = xx22\n", + " \n", + " dict2[str(k)]['psy'] = psy_yangmiao_old\n", + " dict2[str(k)]['tcm'] = tcm\n", + " dict2[str(k)]['spine'] = spine\n", + "filename = 'data/result_世纪花园.json'\n", + "with open(filename,'w') as fl:\n", + " json.dump(dict2, fl, ensure_ascii=False) \n", + "print('ok') " + ] + }, + { + "cell_type": "markdown", + "id": "8ff5f29b-f2cd-4b2f-9716-8ec6bd77db1f", + "metadata": {}, + "source": [ + "## 生成报告人员信息" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "6038af14-e3cf-4e79-9a02-a5d70cb2ed65", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T05:38:50.524545Z", + "iopub.status.busy": "2023-10-27T05:38:50.523900Z", + "iopub.status.idle": "2023-10-27T05:38:50.593781Z", + "shell.execute_reply": "2023-10-27T05:38:50.592319Z", + "shell.execute_reply.started": "2023-10-27T05:38:50.524484Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import openpyxl\n", + "\n", + "filename = 'data/世纪花园人员信息.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + "\n", + "\n", + "list1 = []\n", + "for k, v in dict1.items():\n", + " id = str(k).rjust(5,\"0\")\n", + " \n", + " name = v['name']\n", + " list1.append([id,name,v['sex'],v['sex'],v['birth'],v['phone'],v['unit']])\n", + "filename = 'data/世纪花园人员信息.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "\n", + "for row in list1:\n", + " sheet.append(row)\n", + "wb.save(filename)" + ] + }, + { + "cell_type": "markdown", + "id": "e790c586-9099-4a63-a460-a6d53a1e8f99", + "metadata": {}, + "source": [ + "### 导入问卷人员信息（有姓名）" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "096672ef-c1f1-4b31-a490-efd408b95aec", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T06:17:34.577248Z", + "iopub.status.busy": "2023-10-27T06:17:34.576465Z", + "iopub.status.idle": "2023-10-27T06:17:34.622216Z", + "shell.execute_reply": "2023-10-27T06:17:34.620032Z", + "shell.execute_reply.started": "2023-10-27T06:17:34.577174Z" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "import json\n", + "import datetime\n", + "import csv\n", + "\n", + "list1 = []\n", + "filename = 'data/Survey_20231027.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", + "list3 = []\n", + "for item in list1:\n", + " phone = item[2]\n", + " content = json.loads(item[5])\n", + " name = content['name']\n", + " sex = content['gender']\n", + " birth = content['birth']\n", + " unit = content['unit']\n", + " list2 = [phone,name,sex,birth,unit]\n", + " list3.append(list2)\n", + "filename = 'data/世纪花园人员信息1.xlsx'\n", + "wb = openpyxl.Workbook()\n", + "sheet = wb.active\n", + "\n", + "for row in list3:\n", + " sheet.append(row)\n", + "wb.save(filename) \n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "5ab7d644-c90a-4877-9abf-6d4bd88ef3ef", + "metadata": {}, + "source": [ + "### 导入问卷人员信息（无姓名）" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "8f801647-a326-4bf1-a651-4b52e0296998", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T07:12:12.444411Z", + "iopub.status.busy": "2023-10-27T07:12:12.443958Z", + "iopub.status.idle": "2023-10-27T07:12:12.457264Z", + "shell.execute_reply": "2023-10-27T07:12:12.455781Z", + "shell.execute_reply.started": "2023-10-27T07:12:12.444370Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['18610346996', '15689048244', '17865910365', '15966972231', '15953353009', '10002268211', '13906430187', '18553352007', '15092304241', '13953302959', '15966961587', '13964419753', '13563031324', '13869301368', '15964480260', '17616402467', '18253372927', '15169322152', '18653360448', '15954798900', '15953329509', '13561616627', '13581038337', '13287083771', '18553317009', '13287888080', '13953398130', '13665330312', '18353398071', '15854858198', '13280681081', '13583315663', '18653359308', '18053370113', '18953363875', '15153328391', '13853328246', '13606433819', '13389690177', '18560316978', '18560316897', '18653307232', '18853386200', '13953318999', '15376796462', '18253301688', '13853346368', '18560317186', '13969319707', '13792162471', '15589361996', '15315223331', '13869320577', '13792166751', '15065872512', '13969392534', '13573392557', '13589563291', '13573349783', '13953350485', '18678200603', '13589537205', '13589537205', '13853357150', '13969308397', '13706432240', '18560317061', '13964391029', '18953343833', '18905332691', '13054890607', '13082715936', '15053312268', '15963301381', '15550301285', '13306436916', '15553312972', '13280682857', '13070619391', '18678109571', '15965521907', '13280632498', '13964466366', '18853366997', '13789896882', '15589388169']\n", + "18610346996\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "filename = 'data/世纪花园人员信息.json'\n", + "with open(filename,'r') as fl:\n", + " dict1 = json.load(fl)\n", + " \n", + "list1 = []\n", + "list2 = []\n", + "for k, v in dict1.items():\n", + " list2.append(v['phone'])\n", + "print(list2)\n", + "\n", + "filename = 'data/Survey_20231027.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", + " phone = str(line[2])\n", + " if phone in list2:\n", + " print(phone)\n" + ] + }, + { + "cell_type": "markdown", + "id": "3e5b5d43-c883-4e41-80b6-dd80bdbfcbfa", + "metadata": {}, + "source": [ + "## 问卷导出" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "fbe793e4-04cf-4e7d-8fb8-1776ed474ab9", + "metadata": { + "execution": { + "iopub.execute_input": "2023-10-27T07:25:48.897659Z", + "iopub.status.busy": "2023-10-27T07:25:48.897196Z", + "iopub.status.idle": "2023-10-27T07:25:49.038895Z", + "shell.execute_reply": "2023-10-27T07:25:49.038112Z", + "shell.execute_reply.started": "2023-10-27T07:25:48.897615Z" + }, + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + 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15:00:00'),\n" + ] + } + ], + "source": [ + "import openpyxl\n", + "import json\n", + "\n", + "filename = 'data/世纪花园人员信息.json'\n", + "with open(filename,'r') as fl:\n", + " dict3 = json.load(fl)\n", + "wb = openpyxl.load_workbook('data/世纪花园问卷.xlsx')\n", + "sheet = wb.active\n", + "# sheets = wb.sheetnames\n", + "dict1 = {}\n", + "zy = [2,7,9,11,12,21,24]\n", + "no_xinli = [286]\n", + "sheet = wb.active\n", + "data1 =list(sheet.values)\n", + "list_bh = data1[0][1:]\n", + "#print(list_bh)\n", + "del data1[0]\n", + "\n", + "for i in range(1,len(list_bh)+1):\n", + " list2 = []\n", + " \n", + " for item in data1:\n", + " list2.append(item[i])\n", + " dict1[list_bh[i-1]] = list2\n", + "#print(dict1)\n", + "s = ''\n", + "for k,v in dict1.items():\n", + " if str(k) in dict3.keys(): \n", + " if dict3[str(k)]['sex'] =='男':\n", + " sex = \"m\"\n", + " else:\n", + " sex = \"f\"\n", + " dict2 = {}\n", + " list_mx = []\n", + " list_mx.append(f'\"Gender\":\"{sex}\"')\n", + " list_mx.append(f'\"Age\":\"O\"')\n", + " dict2['surveyId'] = \"merge1\"\n", + " dict2['name'] = dict3[str(k)]['name'] \n", + " dict2['code'] = str(k) \n", + " name = dict3[str(k)]['phone'] \n", + " if k not in no_xinli:\n", + " for i in range(0,30):\n", + " list_mx.append(f'\"q{i+1}O\":{v[i]}') \n", + " \n", + " for i in range(1,61):\n", + " if i not in zy:\n", + " list_mx.append(f'\"q{i}\":{v[29+i]}')\n", + " for i in range(1,27):\n", + " list_mx.append(f'\"qv{i}\":{v[89+i]}')\n", + " ss = ','.join(list_mx)\n", + " ss ='{'+ss+'}'\n", + " dict2['data'] = ss\n", + " sj = '2023-10-27 15:00:00'\n", + " s= s+f'(\\'ptv_0533_sjhy\\',\\'{name}\\',\\'{ss}\\',\\'{sj}\\'),'\n", + " #print(dict2)\n", + "print(s)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a634c3b-6954-4eff-bc1c-3f5e229bc458", + "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": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/体测单位/北海炼化.ipynb b/体测单位/北海炼化.ipynb index f0ac1ba..688b424 100644 --- a/体测单位/北海炼化.ipynb +++ b/体测单位/北海炼化.ipynb @@ -1427,16 +1427,9 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": null, "id": "d554c400-8f2f-4f60-97ba-ab5ace254d6f", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-22T02:55:08.341413Z", - "iopub.status.busy": "2023-11-22T02:55:08.340762Z", - "iopub.status.idle": "2023-11-22T02:55:08.418936Z", - "shell.execute_reply": "2023-11-22T02:55:08.417041Z", - "shell.execute_reply.started": "2023-11-22T02:55:08.341353Z" - }, "tags": [] }, "outputs": [], @@ -1493,28 +1486,12 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": null, "id": "f21b1c8d-1b2d-45f6-8f35-4a62d5b944f7", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-22T02:46:15.092874Z", - "iopub.status.busy": "2023-11-22T02:46:15.092396Z", - "iopub.status.idle": "2023-11-22T02:46:15.175664Z", - "shell.execute_reply": "2023-11-22T02:46:15.174984Z", - "shell.execute_reply.started": "2023-11-22T02:46:15.092847Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "697\n", - "697\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import datetime\n", @@ -1606,27 +1583,12 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": null, "id": "9ca97d8f-6320-48f1-9a16-2d34167dac19", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-22T02:46:23.851352Z", - "iopub.status.busy": "2023-11-22T02:46:23.850893Z", - "iopub.status.idle": "2023-11-22T02:46:23.961867Z", - "shell.execute_reply": "2023-11-22T02:46:23.961246Z", - "shell.execute_reply.started": "2023-11-22T02:46:23.851325Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok!\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import time\n", @@ -1762,27 +1724,12 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": null, "id": "f0608de5-07ae-458c-999e-60968314f058", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-22T03:00:59.351223Z", - "iopub.status.busy": "2023-11-22T03:00:59.350945Z", - "iopub.status.idle": "2023-11-22T03:00:59.703401Z", - "shell.execute_reply": "2023-11-22T03:00:59.702798Z", - "shell.execute_reply.started": "2023-11-22T03:00:59.351200Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ok\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import openpyxl\n", @@ -1848,52 +1795,12 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": null, "id": "2c867c7f-00b4-4a41-a6eb-18d6c39fa4cc", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-22T03:28:56.932672Z", - "iopub.status.busy": "2023-11-22T03:28:56.932375Z", - "iopub.status.idle": "2023-11-22T03:28:56.981535Z", - "shell.execute_reply": "2023-11-22T03:28:56.980516Z", - "shell.execute_reply.started": "2023-11-22T03:28:56.932646Z" - }, "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "18777937356\n", - "13768090960\n", - "18977916950\n", - "18277917797\n", - "18092434264\n", - "13977982222\n", - "13877944139\n", - "13517796512\n", - "13977933993\n", - "15613726645\n", - "13877935443\n", - "13768091811\n", - "13877923030\n", - "18092434264\n", - "18992865291\n", - "15577993102\n", - "18277917797\n", - "13977990782\n", - "18177980276\n", - "15224521321\n", - "18822081130\n", - "13807898246\n", - "18277917797\n", - "13768091811\n", - "13517790009\n", - "15143256015\n" - ] - } - ], + "outputs": [], "source": [ "import json\n", "import csv\n",