1378 lines
34 KiB
Plaintext
1378 lines
34 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ae533fe9-e20e-4e44-b9bb-030c4fa4e714",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 体测人员导入"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import openpyxl\n",
|
||
"import json\n",
|
||
"\n",
|
||
"\n",
|
||
"wb = openpyxl.load_workbook('data/天津石化员工检测花名册 （20221014）.xlsx')\n",
|
||
"sheet = wb.active\n",
|
||
"# sheets = wb.sheetnames\n",
|
||
"person = {}\n",
|
||
"\n",
|
||
"for n in range(2, sheet.max_row+1):\n",
|
||
" code = int(sheet.cell(n, 6).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['sub_unit'] = sheet.cell(n, 2).value\n",
|
||
" if sheet.cell(n,5).value is not None:\n",
|
||
" dict1['id_num'] = sheet.cell(n,5).value\n",
|
||
" person[code] = dict1\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename, 'w') as fl:\n",
|
||
" json.dump(person, fl, ensure_ascii=False)\n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "5e648b69-40bf-4494-9079-e4e2b6ab8866",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 获取人员测试成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a57ebb22-543c-4804-8d44-89984058ec1d",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"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,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n",
|
||
"\n",
|
||
"re_ta = {}\n",
|
||
"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"#print(\"\\n运动项目信息：\")\n",
|
||
"filename = 'data/134_2210.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_天津.json'\n",
|
||
"with open(filename,'w') as fl:\n",
|
||
" json.dump(re_ta, fl) \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "55d961e5-a512-44b2-808e-7c55d7000d52",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导出测试成绩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "38397ad4-2bb3-4b5e-8ece-9ea11e801890",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\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','性别','单位/部门','车间/科室','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_天津.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
" \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
||
" list2.append(str(k).rjust(8,'0'))\n",
|
||
" list2.append(v['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['unit'])\n",
|
||
" list2.append(dict2[k]['sub_unit'])\n",
|
||
" \n",
|
||
" for item in items:\n",
|
||
" if item in v.keys():\n",
|
||
" list2.append(v[item]['成绩'])\n",
|
||
" \n",
|
||
" elif item =='name':\n",
|
||
" list2.append(v[item])\n",
|
||
" else:\n",
|
||
" list2.append('') \n",
|
||
" \n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/天津石化体测情况表（截至20221122）.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "239ceb76-f690-4dae-991c-62c38d617c85",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 导出测试成绩(带得分)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"id": "27529013-f3de-4e23-980d-f62203e4df88",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2022-11-30T10:12:53.515296Z",
|
||
"iopub.status.busy": "2022-11-30T10:12:53.514432Z",
|
||
"iopub.status.idle": "2022-11-30T10:12:55.337907Z",
|
||
"shell.execute_reply": "2022-11-30T10:12:55.337125Z",
|
||
"shell.execute_reply.started": "2022-11-30T10:12:53.515185Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\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','性别','单位/部门','车间/科室','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_天津.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
" \n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" #print(k,dict2[str(k)]['name'])\n",
|
||
" list2 = []\n",
|
||
" list2.append(str(k).rjust(5,'0'))\n",
|
||
" list2.append(dict2[k]['name']) \n",
|
||
" list2.append(dict2[k]['sex'])\n",
|
||
" list2.append(dict2[k]['unit']) \n",
|
||
" list2.append(dict2[k]['sub_unit']) \n",
|
||
" for item in items:\n",
|
||
" if item in dict1[k].keys():\n",
|
||
" list2.append(dict1[k][item]['成绩'])\n",
|
||
" list2.append(dict1[k][item]['得分']) \n",
|
||
" elif item =='name':\n",
|
||
" list2.append(dict1[k][item])\n",
|
||
" else:\n",
|
||
" list2.append('') \n",
|
||
" list2.append('') \n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/天津石化体测情况表.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)\n",
|
||
"print('ok') "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "1c7b219f-43cd-4bf0-971f-2c398f8db8ed",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 按照日期进行报告分类"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3d57ff66-69c3-4c13-811b-f1e13b404077",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 按照体测明细分类"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "29c0f15b-1345-4b46-ac1d-b45ddede9641",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"import os,sys,shutil\n",
|
||
"import glob\n",
|
||
"\n",
|
||
"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/134_2210.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",
|
||
"for result in list1:\n",
|
||
" user = str(result[4])\n",
|
||
" dict1.setdefault(user,'2022-10-01')\n",
|
||
" m_date = result[7]\n",
|
||
" if m_date> dict1[user]:\n",
|
||
" dict1[user] = m_date\n",
|
||
"\n",
|
||
"m_path = 'file/134'\n",
|
||
"\n",
|
||
"fls = glob.glob(f'file/new/*.pdf')\n",
|
||
"for fn in fls:\n",
|
||
" #old = os.path.basename(fn).split('.')[0].rjust(8,'0') \n",
|
||
" old = os.path.basename(fn).split('.')[0]\n",
|
||
" mrq = str(dict1[old]).split(' ')[0].replace('-', '', 2)\n",
|
||
" if not os.path.exists(m_path + '/new/' + mrq):\n",
|
||
" os.mkdir(m_path + '/new/' + mrq)\n",
|
||
" n_name = f'{m_path}/new/{mrq}/{str(old).rjust(8,\"0\")}_{mrq}.pdf'\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(fn,n_name)\n",
|
||
"print('ok!')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ae2b17bd-38b9-4809-affb-01441a5581eb",
|
||
"metadata": {},
|
||
"source": [
|
||
"### 按照报告生成日期分类"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "eb24c1be-b5d3-4e61-a432-854a887746d4",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import time\n",
|
||
"import csv\n",
|
||
"import os,sys,shutil\n",
|
||
"import glob\n",
|
||
"\n",
|
||
"dict1 = {}\n",
|
||
"list1 = []\n",
|
||
"\n",
|
||
"m_path = 'file/134'\n",
|
||
"mrq = '20221028'\n",
|
||
"if not os.path.exists(m_path + '/' + mrq):\n",
|
||
" os.mkdir(m_path + '/' + mrq)\n",
|
||
"fls = glob.glob(f'file/new/*.pdf')\n",
|
||
"for fn in fls:\n",
|
||
" #old = os.path.basename(fn).split('.')[0].rjust(8,'0') \n",
|
||
" old = os.path.basename(fn).split('.')[0] \n",
|
||
" n_name = f'{m_path}/{mrq}/{str(old).rjust(8,\"0\")}_{mrq}.pdf'\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(fn,n_name)\n",
|
||
"print('ok!')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "d9061d26-b09b-4bff-af24-a14adda3d83f",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 按照部门报告分组"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "7ea2541f-461f-4eb5-860d-4b56d6be74ab",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"\n",
|
||
"fi_path = './file'\n",
|
||
"old = []\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"for k, v in dict1.items():\n",
|
||
" m_name = v['name']\n",
|
||
" m_depart = v['unit'] \n",
|
||
" dict2[int(k)] = [m_name,m_depart]\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"fls = glob.glob(f'./file/*.pdf')\n",
|
||
"\n",
|
||
"for fn in fls:\n",
|
||
" old.append(os.path.basename(fn).split('.')[0])\n",
|
||
" #print(fn)\n",
|
||
"\n",
|
||
"\n",
|
||
"for n in old: \n",
|
||
" o_name = f'{fi_path}/{n}.pdf'\n",
|
||
" if not os.path.exists(f'{fi_path}/new/{dict2[int(n)][1]}'):\n",
|
||
" os.mkdir(f'{fi_path}/new/{dict2[int(n)][1]}') \n",
|
||
" n_name = f'{fi_path}/new/{dict2[int(n)][1]}/{str(n).rjust(5,\"0\")}-{dict2[int(n)][0]}.pdf'\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(o_name,n_name)\n",
|
||
" print(n_name)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "63eb8a23-4876-4be6-8800-1a67df8773ff",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import json\n",
|
||
"import math\n",
|
||
"import glob\n",
|
||
"from pathlib import Path\n",
|
||
"\n",
|
||
"fi_path = './file'\n",
|
||
"old = []\n",
|
||
"dict2 = {}\n",
|
||
"\n",
|
||
"\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"\n",
|
||
"for k, v in dict1.items():\n",
|
||
" m_name = v['name']\n",
|
||
" m_depart = v['unit'] \n",
|
||
" dict2[int(k)] = [m_name,m_depart]\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"fls = glob.glob(f'./file/*.pdf')\n",
|
||
"\n",
|
||
"for fn in fls:\n",
|
||
" old.append(os.path.basename(fn).split('.')[0])\n",
|
||
"\n",
|
||
"for n in old: \n",
|
||
" o_name = f'{fi_path}/{n}.pdf'\n",
|
||
" new_path = Path('file/new',dict1[n]['unit'],dict1[n]['sub_unit'])\n",
|
||
" new_path.mkdir(parents = True, exist_ok = True)\n",
|
||
" n_name = Path(new_path,f'{str(n).rjust(7,\"0\")}-{dict2[int(n)][0]}.pdf')\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(o_name,n_name)\n",
|
||
" print(n_name)\n",
|
||
" \n",
|
||
"print('ok')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e4590323-6645-450a-8055-756a5bf35b34",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计报告人员信息表"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "ed681a0d-4ee8-48ec-ab05-23da7156a44e",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2022-11-26T18:05:46.062534Z",
|
||
"iopub.status.busy": "2022-11-26T18:05:46.062001Z",
|
||
"iopub.status.idle": "2022-11-26T18:05:46.353459Z",
|
||
"shell.execute_reply": "2022-11-26T18:05:46.352749Z",
|
||
"shell.execute_reply.started": "2022-11-26T18:05:46.062456Z"
|
||
}
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"import os\n",
|
||
"import glob\n",
|
||
"\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"m_path ='./file'\n",
|
||
"fls = glob.glob(f'file/*.pdf')\n",
|
||
"list1 = []\n",
|
||
"for fn in fls:\n",
|
||
" list2 = []\n",
|
||
" code = os.path.basename(fn).split('.')[0]\n",
|
||
" list2 = [code.rjust(7,\"0\"),dict1[code]['name'],dict1[code]['unit'],dict1[code]['sub_unit']]\n",
|
||
" list1.append(list2)\n",
|
||
"title = ['编号','姓名','单位/部门','车间/科室',] \n",
|
||
"filename = 'data/天津石化体测情况表.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "838ec7d3-137c-4ccd-9f16-7b6312d1ffa6",
|
||
"metadata": {},
|
||
"source": [
|
||
"## PDF文件压缩"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "a6ab0943-b018-4dd6-9176-85a762f9f60c",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import fitz\n",
|
||
"from pdf2image import convert_from_path, convert_from_bytes\n",
|
||
"import os,sys\n",
|
||
"import tempfile\n",
|
||
"from pdf2image.exceptions import (\n",
|
||
" PDFInfoNotInstalledError,\n",
|
||
" PDFPageCountError,\n",
|
||
" PDFSyntaxError\n",
|
||
")\n",
|
||
"import img2pdf \n",
|
||
"import glob\n",
|
||
"import shutil\n",
|
||
"\n",
|
||
"def covert2pic(old_fn):\n",
|
||
" if os.path.exists('.pdf'): # 临时文件，需为空\n",
|
||
" shutil.rmtree('.pdf')\n",
|
||
" os.mkdir('.pdf')\n",
|
||
" with tempfile.TemporaryDirectory() as path:\n",
|
||
" images_from_path = convert_from_path(old_fn, dpi=100,fmt='jpg', output_folder='.pdf')\n",
|
||
"\n",
|
||
"def pic2pdf(new_fn):\n",
|
||
" fl1=glob.glob('.pdf/*.jpg')\n",
|
||
" fl1.sort()\n",
|
||
" a4inpt = (img2pdf.mm_to_pt(210),img2pdf.mm_to_pt(297))\n",
|
||
" layout_fun = img2pdf.get_layout_fun(a4inpt)\n",
|
||
" with open(new_fn,\"wb\") as f:\n",
|
||
" f.write(img2pdf.convert(fl1,layout_fun=layout_fun))\n",
|
||
" print(f'{new_fn}转换成功！')\n",
|
||
" \n",
|
||
"\n",
|
||
"\n",
|
||
"def pdfz(sor, obj, zoom): \n",
|
||
" covert2pic(zoom)\n",
|
||
" pic2pdf(obj)\n",
|
||
" \n",
|
||
"fi_path = 'file/134/20221122/'\n",
|
||
"fl = glob.glob(f'{fi_path}*.pdf')\n",
|
||
"\n",
|
||
"for fn in fl:\n",
|
||
" new_fn = fi_path+'new/'+os.path.basename(fn)\n",
|
||
" covert2pic(fn)\n",
|
||
" pic2pdf(new_fn)\n",
|
||
" shutil.rmtree('.pdf')\n",
|
||
"print('ok!')\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a0cc9662-4171-4c2a-828d-f58c327ec8c1",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 统计未测试人员名单"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "daef91be-1b58-4fb1-b182-64f43c07c90f",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"filename = 'data/result_天津.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"\n",
|
||
"list1 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
||
" if k not in dict2.keys(): \n",
|
||
" list2 = [k,dict1[k]['name'],dict1[k]['sex'],dict1[k]['unit'],dict1[k]['sub_unit'],] \n",
|
||
" list1.append(list2)\n",
|
||
"filename = 'data/天津石化未参加体测人数统计表.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list1:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)\n",
|
||
"print('ok!')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "72c693e1-dd7c-40fa-8948-4fd6fbea8ddc",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 区分新文件"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "9d06d4f0-364b-438c-844b-7d5badaf3496",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import os,sys,shutil\n",
|
||
"import glob\n",
|
||
"import time\n",
|
||
"\n",
|
||
"fi_path = 'file/'\n",
|
||
"fls = glob.glob(f'{fi_path}*.pdf')\n",
|
||
"m_date = time.strptime('2022-10-28','%Y-%m-%d')\n",
|
||
"for fn in fls:\n",
|
||
" c_time = time.gmtime(os.path.getctime(fn))\n",
|
||
" if c_time > m_date:\n",
|
||
" n_name = f'{fi_path}new/{os.path.basename(fn)}'\n",
|
||
" if not os.path.exists(n_name):\n",
|
||
" shutil.copyfile(fn,n_name)\n",
|
||
" print(n_name)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "32b61559-4495-4fbe-8eb6-2614e6225b5c",
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"filename = 'data/result_天津.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict2 = json.load(fl)\n",
|
||
"print(len(dict2),len(dict1),)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "47015abe-4cb8-436b-afa5-9ffd78d4a628",
|
||
"metadata": {},
|
||
"source": [
|
||
"## 心理测试情况统计"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"id": "c21efc40-2639-4b22-851f-925cd3f12d3a",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2022-12-02T01:57:12.001357Z",
|
||
"iopub.status.busy": "2022-12-02T01:57:12.001077Z",
|
||
"iopub.status.idle": "2022-12-02T01:57:12.883178Z",
|
||
"shell.execute_reply": "2022-12-02T01:57:12.882427Z",
|
||
"shell.execute_reply.started": "2022-12-02T01:57:12.001330Z"
|
||
},
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"ok!\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"filename = 'data/134_xinli.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[4])\n",
|
||
"list3 = []\n",
|
||
"for k, v in dict1.items():\n",
|
||
" list2 = []\n",
|
||
" if k not in list1: \n",
|
||
" list2 = [k,dict1[k]['name'],dict1[k]['sex'],dict1[k]['unit'],dict1[k]['sub_unit'],] \n",
|
||
" list3.append(list2)\n",
|
||
"filename = 'data/天津石化未参加心理测试人数统计表.xlsx'\n",
|
||
"wb = openpyxl.Workbook()\n",
|
||
"sheet = wb.active\n",
|
||
"sheet.append(title)\n",
|
||
"for row in list3:\n",
|
||
" sheet.append(row)\n",
|
||
" \n",
|
||
"wb.save(filename)\n",
|
||
"print('ok!')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"id": "6b8ae75d-71a3-4cbe-a216-03c28d78156c",
|
||
"metadata": {
|
||
"execution": {
|
||
"iopub.execute_input": "2022-12-02T01:52:28.990631Z",
|
||
"iopub.status.busy": "2022-12-02T01:52:28.990331Z",
|
||
"iopub.status.idle": "2022-12-02T01:52:29.019041Z",
|
||
"shell.execute_reply": "2022-12-02T01:52:29.018243Z",
|
||
"shell.execute_reply.started": "2022-12-02T01:52:28.990609Z"
|
||
}
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"1731990\n",
|
||
"1730445\n",
|
||
"1733543\n",
|
||
"3402384\n",
|
||
"1732997\n",
|
||
"1737697\n",
|
||
"1730575\n",
|
||
"1730370\n",
|
||
"1739948\n",
|
||
"3442741\n",
|
||
"1730359\n",
|
||
"3362198\n",
|
||
"3417263\n",
|
||
"1730439\n",
|
||
"1733749\n",
|
||
"3440898\n",
|
||
"1730989\n",
|
||
"1730356\n",
|
||
"1735371\n",
|
||
"1732814\n",
|
||
"1730913\n",
|
||
"1736882\n",
|
||
"1733497\n",
|
||
"3362212\n",
|
||
"1731589\n",
|
||
"1739001\n",
|
||
"1731819\n",
|
||
"1732459\n",
|
||
"3125774\n",
|
||
"1730902\n",
|
||
"3362662\n",
|
||
"1731856\n",
|
||
"1737990\n",
|
||
"3125699\n",
|
||
"3317857\n",
|
||
"1730219\n",
|
||
"1732471\n",
|
||
"3317863\n",
|
||
"1734383\n",
|
||
"3499245\n",
|
||
"1739589\n",
|
||
"1733813\n",
|
||
"3499240\n",
|
||
"1734246\n",
|
||
"3125710\n",
|
||
"3499237\n",
|
||
"3499243\n",
|
||
"3499253\n",
|
||
"1739362\n",
|
||
"3428692\n",
|
||
"1739050\n",
|
||
"1737160\n",
|
||
"1732665\n",
|
||
"3287806\n",
|
||
"1731058\n",
|
||
"1733868\n",
|
||
"1733867\n",
|
||
"1731561\n",
|
||
"3374924\n",
|
||
"3167516\n",
|
||
"3287818\n",
|
||
"3422008\n",
|
||
"1734221\n",
|
||
"1733715\n",
|
||
"3428694\n",
|
||
"1734188\n",
|
||
"1536861\n",
|
||
"3125698\n",
|
||
"1730538\n",
|
||
"3428695\n",
|
||
"3499244\n",
|
||
"1732461\n",
|
||
"1739419\n",
|
||
"3499257\n",
|
||
"1735528\n",
|
||
"3252962\n",
|
||
"1534670\n",
|
||
"3125708\n",
|
||
"1736685\n",
|
||
"3317910\n",
|
||
"3287811\n",
|
||
"3499250\n",
|
||
"3499252\n",
|
||
"1733962\n",
|
||
"1732064\n",
|
||
"1532672\n",
|
||
"1735489\n",
|
||
"1732061\n",
|
||
"1736599\n",
|
||
"1736711\n",
|
||
"1738767\n",
|
||
"1739302\n",
|
||
"1733200\n",
|
||
"1733921\n",
|
||
"1739427\n",
|
||
"1730169\n",
|
||
"1739308\n",
|
||
"1535224\n",
|
||
"3145487\n",
|
||
"3452129\n",
|
||
"3391160\n",
|
||
"1532563\n",
|
||
"1730119\n",
|
||
"1732176\n",
|
||
"3362572\n",
|
||
"3394990\n",
|
||
"1739239\n",
|
||
"1730527\n",
|
||
"3145535\n",
|
||
"3362148\n",
|
||
"3417105\n",
|
||
"1735004\n",
|
||
"1730099\n",
|
||
"1738145\n",
|
||
"3417344\n",
|
||
"3391150\n",
|
||
"1735011\n",
|
||
"1739366\n",
|
||
"1733562\n",
|
||
"1736119\n",
|
||
"3468164\n",
|
||
"1735730\n",
|
||
"3286619\n",
|
||
"1738273\n",
|
||
"3440494\n",
|
||
"1736766\n",
|
||
"1738693\n",
|
||
"3440490\n",
|
||
"1738688\n",
|
||
"1736104\n",
|
||
"1730461\n",
|
||
"3499700\n",
|
||
"1739760\n",
|
||
"1121028\n",
|
||
"1731513\n",
|
||
"1732257\n",
|
||
"1731552\n",
|
||
"1122144\n",
|
||
"1738750\n",
|
||
"1737455\n",
|
||
"3499719\n",
|
||
"1736319\n",
|
||
"1736146\n",
|
||
"1736909\n",
|
||
"3499696\n",
|
||
"1731467\n",
|
||
"1732266\n",
|
||
"1732170\n",
|
||
"1731539\n",
|
||
"3362183\n",
|
||
"3499712\n",
|
||
"1731534\n",
|
||
"1731510\n",
|
||
"1731532\n",
|
||
"1731442\n",
|
||
"1739826\n",
|
||
"1731524\n",
|
||
"3318695\n",
|
||
"1731469\n",
|
||
"1736750\n",
|
||
"3499705\n",
|
||
"1731444\n",
|
||
"3468014\n",
|
||
"3499693\n",
|
||
"1731476\n",
|
||
"3499702\n",
|
||
"3440472\n",
|
||
"1731514\n",
|
||
"3499691\n",
|
||
"1730766\n",
|
||
"1731487\n",
|
||
"1733004\n",
|
||
"1732263\n",
|
||
"1732815\n",
|
||
"1088006\n",
|
||
"1731509\n",
|
||
"1734184\n",
|
||
"1731511\n",
|
||
"1731443\n",
|
||
"3499708\n",
|
||
"1730580\n",
|
||
"1731540\n",
|
||
"1731449\n",
|
||
"3286600\n",
|
||
"3468152\n",
|
||
"3468033\n",
|
||
"1731535\n",
|
||
"1731520\n",
|
||
"3145577\n",
|
||
"1731545\n",
|
||
"1732809\n",
|
||
"3440496\n",
|
||
"1733354\n",
|
||
"1731461\n",
|
||
"1733157\n",
|
||
"3442666\n",
|
||
"3499720\n",
|
||
"1731472\n",
|
||
"1732805\n",
|
||
"1737993\n",
|
||
"1731500\n",
|
||
"1739223\n",
|
||
"3499710\n",
|
||
"3499718\n",
|
||
"1731496\n",
|
||
"1732808\n",
|
||
"1730648\n",
|
||
"1731459\n",
|
||
"3499689\n",
|
||
"1731529\n",
|
||
"1731956\n",
|
||
"1731457\n",
|
||
"1731471\n",
|
||
"1738961\n",
|
||
"1731502\n",
|
||
"1739835\n",
|
||
"1732803\n",
|
||
"1736917\n",
|
||
"1731386\n",
|
||
"1731935\n",
|
||
"1738682\n",
|
||
"3468160\n",
|
||
"1732253\n",
|
||
"3168143\n",
|
||
"3318687\n",
|
||
"1737044\n",
|
||
"1731489\n",
|
||
"1730524\n",
|
||
"1739289\n",
|
||
"1730599\n",
|
||
"1731477\n",
|
||
"3468147\n",
|
||
"3468012\n",
|
||
"1736728\n",
|
||
"1731497\n",
|
||
"1731773\n",
|
||
"1731468\n",
|
||
"3287821\n",
|
||
"1732921\n",
|
||
"1731463\n",
|
||
"1736129\n",
|
||
"1121117\n",
|
||
"1730586\n",
|
||
"1730522\n",
|
||
"1736757\n",
|
||
"1730550\n",
|
||
"3499711\n",
|
||
"3468183\n",
|
||
"1731486\n",
|
||
"1738690\n",
|
||
"1730470\n",
|
||
"1730593\n",
|
||
"1731464\n",
|
||
"1738669\n",
|
||
"1736743\n",
|
||
"3499715\n",
|
||
"1738641\n",
|
||
"1732807\n",
|
||
"1736794\n",
|
||
"1736798\n",
|
||
"1731465\n",
|
||
"1738668\n",
|
||
"1732269\n",
|
||
"1730468\n",
|
||
"3145776\n",
|
||
"1730649\n",
|
||
"1730612\n",
|
||
"1739417\n",
|
||
"1732802\n",
|
||
"1736729\n",
|
||
"3468010\n",
|
||
"1736755\n",
|
||
"1730639\n",
|
||
"1731479\n",
|
||
"1738245\n",
|
||
"1731538\n",
|
||
"3499695\n",
|
||
"1731491\n",
|
||
"1739006\n",
|
||
"1730962\n",
|
||
"3440495\n",
|
||
"1730616\n",
|
||
"1731537\n",
|
||
"1730430\n",
|
||
"1730163\n",
|
||
"1732804\n",
|
||
"1731518\n",
|
||
"1733541\n",
|
||
"1731221\n",
|
||
"1731478\n",
|
||
"1731840\n",
|
||
"1737054\n",
|
||
"1738505\n",
|
||
"1730052\n",
|
||
"3391167\n",
|
||
"3440899\n",
|
||
"1088010\n",
|
||
"1730578\n",
|
||
"3468015\n",
|
||
"1731482\n",
|
||
"1732252\n",
|
||
"1738654\n",
|
||
"1730230\n",
|
||
"1730267\n",
|
||
"1732164\n",
|
||
"1731875\n",
|
||
"1730519\n",
|
||
"1733549\n",
|
||
"1739010\n",
|
||
"1739125\n",
|
||
"1738942\n",
|
||
"1737065\n",
|
||
"1732810\n",
|
||
"3468042\n",
|
||
"1730244\n",
|
||
"1730256\n",
|
||
"1736505\n",
|
||
"3145483\n",
|
||
"1731951\n",
|
||
"1739918\n",
|
||
"1733503\n",
|
||
"1738877\n",
|
||
"1738999\n",
|
||
"1731536\n",
|
||
"1739924\n",
|
||
"1732784\n",
|
||
"1738890\n",
|
||
"1738673\n",
|
||
"1736841\n",
|
||
"1732682\n",
|
||
"1738542\n",
|
||
"1739011\n",
|
||
"1733733\n",
|
||
"1740092\n",
|
||
"1734764\n",
|
||
"1739014\n",
|
||
"1739812\n",
|
||
"1735318\n",
|
||
"1730650\n",
|
||
"1738495\n",
|
||
"1740086\n",
|
||
"1730656\n",
|
||
"1738891\n",
|
||
"3499698\n",
|
||
"1730657\n",
|
||
"1739242\n",
|
||
"1730584\n",
|
||
"1730651\n",
|
||
"1730581\n",
|
||
"1731525\n",
|
||
"3499703\n",
|
||
"1730592\n",
|
||
"1739005\n",
|
||
"1738876\n",
|
||
"1730630\n",
|
||
"1730108\n",
|
||
"3145594\n",
|
||
"1730589\n",
|
||
"1730611\n",
|
||
"1733725\n",
|
||
"1736884\n",
|
||
"3468184\n",
|
||
"3362172\n",
|
||
"3362657\n",
|
||
"1737052\n",
|
||
"1738861\n",
|
||
"1735247\n",
|
||
"3362161\n",
|
||
"1738700\n",
|
||
"1733559\n",
|
||
"1730239\n",
|
||
"1739007\n",
|
||
"3442721\n",
|
||
"1738885\n",
|
||
"1857524\n",
|
||
"1731662\n",
|
||
"1733782\n",
|
||
"1736720\n",
|
||
"1738998\n",
|
||
"1730658\n",
|
||
"1731475\n",
|
||
"1738888\n",
|
||
"1738889\n",
|
||
"1730266\n",
|
||
"3145554\n",
|
||
"1732778\n",
|
||
"1730467\n",
|
||
"3499706\n",
|
||
"3499694\n",
|
||
"1737420\n",
|
||
"1731904\n",
|
||
"1740109\n",
|
||
"1739647\n",
|
||
"1739761\n",
|
||
"1738835\n",
|
||
"3468162\n",
|
||
"1738865\n",
|
||
"1738902\n",
|
||
"1738915\n",
|
||
"1735380\n",
|
||
"1738867\n",
|
||
"1730306\n",
|
||
"1739810\n",
|
||
"3145529\n",
|
||
"1736754\n",
|
||
"1121100\n",
|
||
"1731531\n",
|
||
"1738911\n",
|
||
"1731473\n",
|
||
"1731553\n",
|
||
"1738538\n",
|
||
"1730628\n",
|
||
"1738991\n",
|
||
"1732206\n",
|
||
"1733427\n",
|
||
"3499249\n",
|
||
"1730582\n",
|
||
"1737562\n",
|
||
"1737618\n",
|
||
"1738958\n",
|
||
"1737345\n",
|
||
"1736762\n",
|
||
"1738968\n",
|
||
"1739198\n",
|
||
"1738884\n",
|
||
"1739763\n",
|
||
"1739161\n",
|
||
"1738643\n",
|
||
"1735007\n",
|
||
"3145482\n",
|
||
"3068728\n",
|
||
"3499688\n",
|
||
"1738684\n",
|
||
"1738646\n",
|
||
"1736320\n",
|
||
"1738680\n",
|
||
"1730771\n",
|
||
"3499704\n",
|
||
"1733518\n",
|
||
"1738631\n",
|
||
"1738914\n",
|
||
"1735375\n",
|
||
"3362186\n",
|
||
"1738857\n",
|
||
"3499251\n",
|
||
"1730005\n",
|
||
"1739121\n",
|
||
"1730585\n",
|
||
"3452130\n",
|
||
"3362163\n",
|
||
"3417166\n",
|
||
"3467827\n",
|
||
"1730383\n",
|
||
"1738519\n",
|
||
"1737605\n",
|
||
"3417279\n",
|
||
"1732991\n",
|
||
"3468100\n",
|
||
"1732698\n",
|
||
"3442764\n",
|
||
"1730167\n",
|
||
"1732265\n",
|
||
"1738869\n",
|
||
"1737176\n",
|
||
"1121078\n",
|
||
"3145495\n",
|
||
"1737454\n",
|
||
"1738834\n",
|
||
"3442659\n",
|
||
"1738938\n",
|
||
"1738937\n",
|
||
"3145484\n",
|
||
"3442703\n",
|
||
"1738969\n",
|
||
"1731523\n",
|
||
"1738527\n",
|
||
"3467917\n",
|
||
"1733724\n",
|
||
"1732002\n",
|
||
"1731076\n",
|
||
"1739002\n",
|
||
"1731235\n",
|
||
"1732144\n",
|
||
"3318680\n",
|
||
"1738517\n",
|
||
"1730394\n",
|
||
"1738903\n",
|
||
"1731111\n",
|
||
"1739128\n",
|
||
"1732850\n",
|
||
"1733502\n",
|
||
"1733498\n",
|
||
"1738677\n",
|
||
"1739235\n",
|
||
"3417267\n",
|
||
"1732864\n",
|
||
"1732169\n",
|
||
"1733703\n",
|
||
"1738882\n",
|
||
"1732889\n",
|
||
"1735641\n",
|
||
"1733380\n",
|
||
"1739944\n",
|
||
"1731422\n",
|
||
"1732254\n",
|
||
"3449693\n",
|
||
"1736753\n",
|
||
"1733740\n",
|
||
"1730406\n",
|
||
"1737424\n",
|
||
"1730621\n",
|
||
"1737364\n",
|
||
"1736723\n",
|
||
"3468166\n",
|
||
"1731289\n",
|
||
"1738841\n",
|
||
"1733756\n",
|
||
"1730405\n",
|
||
"1731501\n",
|
||
"1739855\n",
|
||
"1730254\n",
|
||
"1739806\n",
|
||
"3286601\n",
|
||
"1733257\n",
|
||
"1733699\n",
|
||
"3145498\n",
|
||
"1735003\n",
|
||
"1733721\n",
|
||
"31215\n",
|
||
"1732156\n",
|
||
"1733256\n",
|
||
"3467834\n",
|
||
"1731665\n",
|
||
"3145605\n",
|
||
"1739061\n",
|
||
"1733146\n",
|
||
"1055173\n",
|
||
"1731680\n",
|
||
"1736134\n",
|
||
"1736160\n",
|
||
"3442807\n",
|
||
"1732873\n",
|
||
"1730788\n",
|
||
"1732871\n",
|
||
"3442791\n",
|
||
"3442753\n",
|
||
"3145569\n",
|
||
"1733493\n",
|
||
"1732166\n",
|
||
"1739015\n",
|
||
"1088005\n",
|
||
"1739220\n",
|
||
"3145488\n",
|
||
"3145556\n",
|
||
"3442762\n",
|
||
"1732904\n",
|
||
"1088001\n",
|
||
"1733531\n",
|
||
"1305017\n",
|
||
"1730653\n",
|
||
"3468804\n",
|
||
"3499669\n",
|
||
"1732267\n",
|
||
"1735436\n",
|
||
"1736588\n",
|
||
"1103009\n",
|
||
"1529378\n",
|
||
"52781\n",
|
||
"3145452\n",
|
||
"1730080\n",
|
||
"3505717\n",
|
||
"1736872\n",
|
||
"1733742\n",
|
||
"1736764\n",
|
||
"1735650\n",
|
||
"1736721\n",
|
||
"1736585\n",
|
||
"3499690\n",
|
||
"3499607\n",
|
||
"1735299\n",
|
||
"53058\n",
|
||
"1730386\n",
|
||
"1738943\n",
|
||
"3467868\n",
|
||
"1739915\n",
|
||
"3452127\n",
|
||
"1736565\n",
|
||
"1736551\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import json\n",
|
||
"import openpyxl\n",
|
||
"\n",
|
||
"title = ['编号','姓名','性别','单位/部门','车间/科室']\n",
|
||
"filename = 'data/天津石化人员名单.json'\n",
|
||
"with open(filename,'r') as fl:\n",
|
||
" dict1 = json.load(fl)\n",
|
||
"list1 = []\n",
|
||
"filename = 'data/134_xinli.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",
|
||
" print(line[4])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "5d53a23c-3fbd-4b57-926b-bc7f61a12be2",
|
||
"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
|
||
}
|