[Distutils] File handling- tab separated files

[Wes Turner]

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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 <niharika1883 at 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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