csv

SQLite3 Import CSV & exclude/skip header

白昼怎懂夜的黑 提交于 2020-04-08 00:59:15
问题 I'm trying to get my data files (of which there are a dozen or so) into tables within SQLite. Each file has a header and I'll be receiving them a few times over the coming year so I'd like to: Avoid editing each file to remove the header when I receive them; Avoid falling back on shell scripts or Python to do this. I define my table and import data... > .separator "\t" > .headers on > CREATE TABLE clinical( patid VARCHAR(20), eventdate CHAR(10), sysdate CHAR(10), constype INT, consid INT,

How to use spacy to do Name Entity recognition on CSV file

夙愿已清 提交于 2020-04-07 08:08:18
问题 I have tried so many things to do name entity recognition on a column in my csv file, i tried ne_chunk but i am unable to get the result of my ne_chunk in columns like so ID STORY PERSON NE NP NN VB GE 1 Washington, a police officer James... 1 0 0 0 0 1 Instead after using this code, news=pd.read_csv("news.csv") news['tokenize'] = news.apply(lambda row: nltk.word_tokenize(row['STORY']), axis=1) news['pos_tags'] = news.apply(lambda row: nltk.pos_tag(row['tokenize']), axis=1) news['entityrecog'

How to use spacy to do Name Entity recognition on CSV file

可紊 提交于 2020-04-07 08:06:14
问题 I have tried so many things to do name entity recognition on a column in my csv file, i tried ne_chunk but i am unable to get the result of my ne_chunk in columns like so ID STORY PERSON NE NP NN VB GE 1 Washington, a police officer James... 1 0 0 0 0 1 Instead after using this code, news=pd.read_csv("news.csv") news['tokenize'] = news.apply(lambda row: nltk.word_tokenize(row['STORY']), axis=1) news['pos_tags'] = news.apply(lambda row: nltk.pos_tag(row['tokenize']), axis=1) news['entityrecog'

How to use spacy to do Name Entity recognition on CSV file

流过昼夜 提交于 2020-04-07 08:06:02
问题 I have tried so many things to do name entity recognition on a column in my csv file, i tried ne_chunk but i am unable to get the result of my ne_chunk in columns like so ID STORY PERSON NE NP NN VB GE 1 Washington, a police officer James... 1 0 0 0 0 1 Instead after using this code, news=pd.read_csv("news.csv") news['tokenize'] = news.apply(lambda row: nltk.word_tokenize(row['STORY']), axis=1) news['pos_tags'] = news.apply(lambda row: nltk.pos_tag(row['tokenize']), axis=1) news['entityrecog'

How to use spacy to do Name Entity recognition on CSV file

纵然是瞬间 提交于 2020-04-07 08:05:06
问题 I have tried so many things to do name entity recognition on a column in my csv file, i tried ne_chunk but i am unable to get the result of my ne_chunk in columns like so ID STORY PERSON NE NP NN VB GE 1 Washington, a police officer James... 1 0 0 0 0 1 Instead after using this code, news=pd.read_csv("news.csv") news['tokenize'] = news.apply(lambda row: nltk.word_tokenize(row['STORY']), axis=1) news['pos_tags'] = news.apply(lambda row: nltk.pos_tag(row['tokenize']), axis=1) news['entityrecog'

Check Point防火墙导入.csv格式的对象

穿精又带淫゛_ 提交于 2020-04-06 23:52:08
Step1:将.csv格式的对象上传到管理服务器,本例为/home/admin目录 [Expert@SZ-OFFICE-SMT:0]# pwd /home/admin [Expert@SZ-OFFICE-SMT:0]# ls -l total 8 -rw-r----- 1 admin root 625 Aug 15 22:18 host.csv -rw-r----- 1 admin root 1036 Aug 15 22:18 network.csv [Expert@SZ-OFFICE-SMT:0]# Step2:使用cat命令查看network [Expert@SZ-OFFICE-SMT:0]# cat network.csv Name,IPv4 address,Mask,IPv6 address,Mask 6,NAT Properties,Comments,Tags,Modifier,Last Modified CP_default_Office_Mode_addresses_pool,172.16.10.0,255.255.255.0,,-1,Hide behind: All,Used as a default for Office Mode. If deleted; it must be specified for each gateway individually (in

Memory exception while filtering large CSV files

◇◆丶佛笑我妖孽 提交于 2020-04-06 23:25:47
问题 getting memory exception while running this code. Is there a way to filter one file at a time and write output and append after processing each file. Seems the below code loads everything to memory. $inputFolder = "C:\Change\2019\October" $outputFile = "C:\Change\2019\output.csv" Get-ChildItem $inputFolder -File -Filter '*.csv' | ForEach-Object { Import-Csv $_.FullName } | Where-Object { $_.machine_type -eq 'workstations' } | Export-Csv $outputFile -NoType 回答1: May be can you export and

Classes, Objects, and Variables(Chapter 3 of Programming Ruby)

只谈情不闲聊 提交于 2020-04-06 20:33:59
class 1 class BookInStock 2 attr_reader :isbn 3 attr_accessor :price 4 def initialize(isbn, price) 5 @isbn = isbn 6 @price = Float(price) 7 end 8 9 def to_s() 10 " ISBN: #{@isbn}, Price: #{@price} " 11 end 12 end 13 14 b1 = BookInStock.new( " aa " , 3 ) 15 p b1 16 b2 = BookInStock.new( " bb " , 2.3 ) 17 p b2 18 b3 = BookInStock.new( " cc " , " 5.67 " ) 19 puts b3 20 puts " ISBN: #{b1.isbn} " book_in_stock.rb 1 class BookInStock 2 attr_reader :isbn, :price 3 def initialize(isbn, price) 4 @isbn = isbn 5 @price = Float(price) 6 end 7 end csv_reader.rb csv_reader.rb 1 require ' csv ' 2 require

Spider -- 数据持久化 之 csv文件

試著忘記壹切 提交于 2020-04-06 17:51:08
作用   将爬取的数据存放到本地的csv文件中 使用流程 1、导入模块 2、打开csv文件 3、初始化写入对象 4、写入数据(参数为列表) import csv ​ with open('film.csv','w') as f: writer = csv.writer(f) writer.writerow([]) 示例代码     创建 test.csv 文件,在文件中写入数据 # 单行写入(writerow([])) import csv with open('test.csv','w',newline='') as f: writer = csv.writer(f) writer.writerow(['步惊云','36']) writer.writerow(['超哥哥','25']) ​ # 多行写入(writerows([(),(),()] # newline = '':在Windows中默认会添加1个空行,所以加入newline = ''参数,避免空行出现 import csv with open('test.csv','w',newline='') as f: writer = csv.writer(f) writer.writerows([('聂风','36'),('秦霜','25'),('孔慈','30')]) 来源: https://www.cnblogs.com

PHP 文件导出(Excel, CSV,txt)

淺唱寂寞╮ 提交于 2020-04-06 11:12:23
1,Excel 导出: /* * * Excel导出例子 */ public function excel($res){ $objPHPExcel = new PHPExcel(); $objPHPExcel ->getProperties()->setCreator( " XXX " ); $objPHPExcel ->setActiveSheetIndex( 0 ); $objActSheet = $objPHPExcel-> getActiveSheet(); $objActSheet ->setCellValue( ' A1 ' , ' 门店名称 ' ); $objActSheet ->setCellValue( ' B1 ' , ' 门店UID ' ); $objActSheet ->setCellValue( ' C1 ' , ' 交易时间 ' ); $objActSheet ->setCellValue( ' D1 ' , ' 应收金额 ' ); $objActSheet ->setCellValue( ' E1 ' , ' 实收金额 ' ); $objActSheet ->setCellValue( ' F1 ' , ' 支付笔数 ' ); $objActSheet ->setCellValue( ' G1 ' , ' 取消笔数 ' ); $objActSheet