tab-delimited-text

How to properly read columns from text file

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问题 Im trying to read data from a text file and loading it into a dataset but the different columns as in the image below are coming as just one long column. I want to return the data as 7 columns (in the same way as its appearing in the image below). This is the code am using, public DataSet LoadTxtFile(int numberOfRows) { DataSet ds = new DataSet(); //try //{ // Creates and opens an ODBC connection string strConnString = "Driver={Microsoft Text Driver (*.txt; *.csv)};Dbq=" + this.dirCSV.Trim()

StreamReader with tab delimited text file

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问题 I have a similar requirement to this post... Populate Gridview at runtime using textfile Where I want to read a text file with StreamReader and populate a DataTable with the data in the file, however I'm not sure how to implement a split() with a tab. Could anybody point me in the right direction, please? 回答1: You can try this: DataTable table = new DataTable(); table.Columns.Add("col1"); table.Columns.Add("col2"); table.Columns.Add("col3"); var lines = File.ReadAllLines(@"Data.txt").ToList()

StreamReader with tab delimited text file

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I have a similar requirement to this post... Populate Gridview at runtime using textfile Where I want to read a text file with StreamReader and populate a DataTable with the data in the file, however I'm not sure how to implement a split() with a tab. Could anybody point me in the right direction, please? You can try this: DataTable table = new DataTable(); table.Columns.Add("col1"); table.Columns.Add("col2"); table.Columns.Add("col3"); var lines = File.ReadAllLines(@"Data.txt").ToList(); lines.ForEach(line => table.Rows.Add(line.Split((char)9))); I presumed that rows are delimited by newline

reading and parsing a TSV file, then manipulating it for saving as CSV (efficiently)

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My source data is in a TSV file, 6 columns and greater than 2 million rows. Here's what I'm trying to accomplish: I need to read the data in 3 of the columns (3, 4, 5) in this source file The fifth column is an integer. I need to use this integer value to duplicate a row entry with using the data in the third and fourth columns (by the number of integer times). I want to write the output of #2 to an output file in CSV format. Below is what I came up with. My question: is this an efficient way to do it? It seems like it might be intensive when attempted on 2 million rows. First, I made a sample

reading and parsing a TSV file, then manipulating it for saving as CSV (efficiently)

阅读更多关于 reading and parsing a TSV file, then manipulating it for saving as CSV (*efficiently*)

问题 My source data is in a TSV file, 6 columns and greater than 2 million rows. Here's what I'm trying to accomplish: I need to read the data in 3 of the columns (3, 4, 5) in this source file The fifth column is an integer. I need to use this integer value to duplicate a row entry with using the data in the third and fourth columns (by the number of integer times). I want to write the output of #2 to an output file in CSV format. Below is what I came up with. My question: is this an efficient way

How to properly read columns from text file

StreamReader with tab delimited text file

StreamReader with tab delimited text file

reading and parsing a TSV file, then manipulating it for saving as CSV (*efficiently*)

reading and parsing a TSV file, then manipulating it for saving as CSV (*efficiently*)

reading and parsing a TSV file, then manipulating it for saving as CSV (efficiently)

reading and parsing a TSV file, then manipulating it for saving as CSV (efficiently)