csv

awk FPAT to ignore commas in csv

别说谁变了你拦得住时间么 提交于 2021-02-10 17:01:32
问题 Sample.csv Data "2-Keyw-Bllist, TerrorViolencetest",vodka,ZETA+GLOBAL 4(ID: ZETA+GLOBAL),,105629,523,flag "2-Keyw-Bllist, TerrorViolencetest",vodka,Captify (ID: Captify),,94676,884,flag "2-Keyw-Bllist, TerrorViolencetest",vodka,QuantCast (ID: QuantCast),,46485,786,flag TerrorViolencetest,germany,QuantCast (ID: QuantCast),,31054,491,flag EY-Keyword-Blacklist,BBQ,MIQ+RON (ID: MIQ+RON),,26073,149,flag TerrorViolencetest,chips,Captify (ID: Captify),,23737,553,flag "2-Keyw-Bllist,

Processing CSV File

杀马特。学长 韩版系。学妹 提交于 2021-02-10 16:15:37
问题 I am using Sebastien Lorion Reference CSV reader to process my CSV file in C# 3.0. Say example id|name|dob (Header) 1|sss|19700101 (data) 2|xx|19700201 (data) My Business Object is class Employee { public string ID {get;set;} public string Name {get;set;} public string Dob {get;set;} } I read the CSV stream and stored it in List<string[]> List<string[]> col = new List<string[]>(); using (CsvReader csv = new CsvReader (new StreamReader("D:\\sample.txt"), true, '|')) { col = csv.ToList(); } How

SQLite: Create Directory Structure Table from A List Of Paths

荒凉一梦 提交于 2021-02-10 16:14:12
问题 I want to create a directory structure table as described in this question where: Directory = "Primary Key" id field, typically an integer Directory_Parent = "Foreign Key" id field, which points to the id of another Directory in the same table Value = string containing the directory/folder name Given Tree/Fruit/Apples/ Directory | Directory_Parent | Value 0 null Root 1 0 Tree 2 1 Fruit 3 2 Apples A Root folder has been created at Primary Key 0 with a null parent. My paths are being imported

Reading a CSV file to pandas works in windows, not in ubuntu

孤街浪徒 提交于 2021-02-10 15:56:13
问题 I have written some scrip in python using windows and want to run it in my raspberry with Ubuntu. I am reading a csv file with line separator new line. When I load the df I use the following code: dfaux = pd.read_csv(r'/home/ubuntu/Downloads/data.csv', sep=';') which loads a df with just one row. I have also tried including the argument lineterminator = '\n\t' which throws this error message: ValueError: Only length-1 line terminators supported In windows I see the line breaks in the csv file

Reading a CSV file to pandas works in windows, not in ubuntu

旧巷老猫 提交于 2021-02-10 15:54:57
问题 I have written some scrip in python using windows and want to run it in my raspberry with Ubuntu. I am reading a csv file with line separator new line. When I load the df I use the following code: dfaux = pd.read_csv(r'/home/ubuntu/Downloads/data.csv', sep=';') which loads a df with just one row. I have also tried including the argument lineterminator = '\n\t' which throws this error message: ValueError: Only length-1 line terminators supported In windows I see the line breaks in the csv file

Error “list indices must be integers or slices, not str” while looping

可紊 提交于 2021-02-10 14:15:53
问题 I'm trying to parse only the replies to my emails, which are stored in a CSV file. I am making use of this library which seems to be geared at doing that. My CSV columns look like this: Date From Name From Address To Subject Message What I want to do is read the message column, perform the cleaning function which is EmailReplyParser.parse_reply(email_message) and replace it with the cleaned emails. This is what I have right now: from email_reply_parser import EmailReplyParser import csv with

Presto (Athena) loading of a CSV file with quote-escaped commas

别来无恙 提交于 2021-02-10 13:37:16
问题 Consider the following row in a CSV file: 1,0,True,"{""foo"":null,""bar"":null}",0,1 ▲ The highlighted , is part of a column . That is, this full text: " {""foo"":null,""bar"":null}" is the value of a single column. However AWS Athena is interpreting the highlighted , as a column-delimiting comma , incorrectly splitting that text into multiple columns. I know I could change the column delimiter to something else to avoid this problem. My question is: Is this a bug in AWS Athena / Presto? How

How to convert xml file to csv output in python?

旧街凉风 提交于 2021-02-10 08:02:02
问题 I have a basic XML file that is being pulled from a database outside of my control. <?xml version="1.0" encoding="utf-8"?> <data> <Job1Start><Time>20200202055415725</Time></Job1Start> <Job1End><Time>20200202055423951</Time></Job1End> <Job2Start><Time>20200202055810390</Time></Job2Start> <Job3Start><Time>20200202055814687</Time></Job3Start> <Job2End><Time>20200202055819000</Time></Job2End> <Job3End><Time>20200202055816708</Time></Job3End> </data> I'm looking to get the following output in a

Read csv file in python and iterate each line item as a value in a script?

三世轮回 提交于 2021-02-10 07:58:07
问题 Edited because it seems as though I was too vague or didn't show enough research. My apologies (newbie here). I am trying to read a csv file and assign each new line as a value to iterate through a script that writes to an API. There's no header data in my csv. I'll be adding a regex search and then using the data that follows the regex expression and assign it as a variable to iterate through my script if that makes sense. CSV Contents: Type1, test.com Type2, name.exe Type3, sample.com Basic

TextFieldParser throws a MalformedLineException on a (seemingly) well-formed CSV line (error text doesn't seem to apply)

这一生的挚爱 提交于 2021-02-10 06:57:32
问题 I have some pretty typical code to parse a CSV file using a Microsoft.VisualBasic.FileIO.TextFieldParser : using (TextFieldParser parser = new TextFieldParser(new StringReader(jobsReport))) { parser.SetDelimiters(","); parser.HasFieldsEnclosedInQuotes = true; string[] headers = parser.ReadFields(); while (!parser.EndOfData) { // ERROR OCCURS HERE string[] fields = parser.ReadFields(); // ... } } However, I get the following exception: Microsoft.VisualBasic.FileIO.MalformedLineException: Line