Thanks, I'll check them out. On Thu 19 Apr, 2018, 01:08 Wes Turner, <wes.tur...@gmail.com> wrote:
> This is the python distutils list for discussions regarding python > packaging. > > For help with using the Python standard library, try the docs and/or the > python tutor mailing list. > > https://www.google.com/search?q=site:docs.python.org+tsv > > https://www.python.org/community/lists/#tutor > https://markmail.org/search/?q=list:org.python.tutor+tsv > > https://www.reddit.com/r/learnpython/ > https://www.reddit.com/r/learnpython/search?q=tsv > > What you describe should be possible by setting delimiter='\t' with > csv.reader with the CSV module in the Python standard library: > > https://docs.python.org/3/library/csv.html#csv.reader > https://docs.python.org/3/library/csv.html#csv.Dialect.delimiter > > Various third party packages are faster at reading delimited files or have > additional useful functionality: > > http://docs.python-tablib.org/en/master/ > > https://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html > > https://docs.scipy.org/doc/numpy/reference/generated/numpy.genfromtxt.html#numpy.genfromtxt > > https://pandas.pydata.org/pandas-docs/stable/io.html#csv-text-files > https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html > > On Wednesday, April 18, 2018, Niharika Jakhar <niharika1...@gmail.com> > wrote: > >> Hello >> >> I am having trouble opening and reading a Tab separated file(big data). I >> stored the data the data in a list and then used the split function (\t) to >> tried to print a list of 0 to 100 position. But it is resulting in random >> values from the files. >> >> Please let me know, if you deal with such queries, if not, can you please >> suggest me some good source in order to solve this problem. >> >> Thanking you in advance >> >> Best regards >> NIHARIKA >> >
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