tab-delimited-text

来源： https://stackoverflow.com/questions/60571932/parsing-a-tab-delimited-txt-into-a-pandas-dataframe

来源： https://stackoverflow.com/questions/17658055/how-can-i-remove-carriage-return-from-a-text-file-with-python

来源： https://stackoverflow.com/questions/17658055/how-can-i-remove-carriage-return-from-a-text-file-with-python

来源： https://stackoverflow.com/questions/17658055/how-can-i-remove-carriage-return-from-a-text-file-with-python

问题 I have an XML file with a list of 92 tab-delimited text files: <?xml version="1.0" encoding="UTF-8"?> <dumpSet> <dump filename="file_one.txt"/> <dump filename="file_two.txt"/> <dump filename="file_three.txt"/> ... </dumpSet> The first row in each file contains the field names for the subsequent rows. This is just an example. The names and number of elements will vary by record. Most will have around 50 field names. Title Translated Title Watch Video Interviewee Interviewer Interview with

问题 I have an XML file with a list of 92 tab-delimited text files: <?xml version="1.0" encoding="UTF-8"?> <dumpSet> <dump filename="file_one.txt"/> <dump filename="file_two.txt"/> <dump filename="file_three.txt"/> ... </dumpSet> The first row in each file contains the field names for the subsequent rows. This is just an example. The names and number of elements will vary by record. Most will have around 50 field names. Title Translated Title Watch Video Interviewee Interviewer Interview with

问题 I would like to create awk code, which will modifie text like this: Tab delimited all columns Delete all columns which is starting by "##text" And keep headers, which starts "#header" I have this code, but it is not good: #!/bin/bash for i in *.vcf; do awk 'BEGIN {print "CHROM\tPOS\tID\tREF\tALT\tQUAL\tFILT\tINFO\tFORMAT"}' | awk '{$1 "\t" $2 "\t" $3 "\t" $4 "\t" $5 "\t" $6 "\t" $7 "\t" $8 "\t" $9}' $i | awk '!/#/' > ${i%.vcf}.tsv; done INPUT: > ##fileformat=VCFv4.1 > ##FORMAT=<ID=GQX,Number

问题 There are two solutions from Concatenate tab-delimited txt files vertically Suppose input1 is X\tY input2 is A\tB\r\n C\t\r\n Here, A, B, C are ordinary words and \t is tab. If I run filenames = [input1, input2] with open(output, 'w') as outfile: for fname in filenames: with open(fname) as infile: outfile.write(infile.read().rstrip() + '\n') then I get X\tY\r\n A\tB\r\n C Suddenly \t after C disappears. If I run filenames = [input1, input2] with open(output, 'w') as outfile: for fname in

问题 I have a tab-delimited input.txt file like this A B C A B D E F G E F T E F K These are tab-delimited. I want to remove duplicates only when multiple rows have the same 1st and 2nd columns. So, even though 1st and 2nd rows are different in 3rd column, they have the same 1st and 2nd columns, so I want to remove "A B D" that appears later. So output.txt will be like this. A B C E F G If I was to remove duplicates in usual way, I just make the lists into "set" function, and I am all set. But now

问题 I am generating a block of text via C# Stringbuilder, with appropriately tab-delimited text (new lines, "\t", etc.) and displaying the text within a tag in my web application. If I copy/paste this to Excel, all the text pastes into the first column on the spreadsheet. If I copy the outerHTML of the block (Chrome) or copy/paste into Notepad++ and THEN paste to Excel, all the data pastes neatly into individual cells - which is the desired outcome of this effort. Can anyone tell me what I need