tab-delimited

I am using pandas 0.12.0 in ipython3 on Ubuntu 13.10, in order to wrangle large tab-delimited datasets in txt files. Using read_table to create a DataFrame from the txt appears to work, and the first row is read as a header, but attempting to access the first column using its name as an index throws a KeyError. I don't understand why this happens, given that the column names all appear to have been read correctly, and every other column can be indexed in this way. The data looks like this: RECORDING_SESSION_LABEL LEFT_GAZE_X LEFT_GAZE_Y RIGHT_GAZE_X RIGHT_GAZE_Y VIDEO_FRAME_INDEX VIDEO_NAME 73

I'm trying to read in the following tab separated data into pandas: test.txt: col_a\tcol_b\tcol_c\tcol_d 4\t3\t2\t1 4\t3\t2\t1 I import test.txt as follows: pd.read_csv('test.txt',sep='\t') The resulting dataframe has 1 column. The \t is not recognized as tab. If I replace \t with a 'keyboard tab' the file is parsed correctly. I also tried replacing '\t with \t and /t and didn't have any luck. Thanks in advance for your help. Omar PS: Screenshot http://imgur.com/a/nXvW3 The \t in your file is an actual backslash followed by a t . It is not a tab . You're going to have to use some escape

I've been reading a tab-delimited data file in Windows with Pandas/Python without any problems. The data file contains notes in first three lines and then follows with a header. df = pd.read_csv(myfile,sep='\t',skiprows=(0,1,2),header=(0)) I'm now trying to read this file with my Mac. (My first time using Python on Mac.) I get the following error. pandas.parser.CParserError: Error tokenizing data. C error: Expected 1 fields in line 8, saw 39 If set the error_bad_lines argument for read_csv to False , I get the following information, which continues until the end of the last row. Skipping line

I'm processing a string which is tab delimited. I'm accomplishing this using the split function, and it works in most situations. The problem occurs when a field is missing, so instead of getting null in that field I get the next value. I'm storing the parsed values in a string array. String[] columnDetail = new String[11]; columnDetail = column.split("\t"); Any help would be appreciated. If possible I'd like to store the parsed strings into a string array so that I can easily access the parsed data. Filip Ekberg String.split uses Regular Expressions , also you don't need to allocate an extra

I have a data with the following format: foo<tab>1.00<space>1.33<space>2.00<tab>3 Now I tried to sort the file based on the last field decreasingly. I tried the following commands but it wasn't sorted as we expected. $ sort -k3nr file.txt # apparently this sort by space as delimiter $ sort -t"\t" -k3nr file.txt sort: multi-character tab `\\t' $ sort -t "`/bin/echo '\t'`" -k3,3nr file.txt sort: multi-character tab `\\t' What's the right way to do it? Here is the sample data . Using bash , this will do the trick: $ sort -t$'\t' -k3 -nr file.txt Notice the dollar sign in front of the single