How to load a tsv file into a Pandas DataFrame?

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Chapters
00:00 Question
00:33 Accepted answer (Score 254)
01:13 Answer 2 (Score 111)
01:35 Answer 3 (Score 67)
01:50 Answer 4 (Score 25)
02:05 Thank you

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Full question
https://stackoverflow.com/questions/9652...

Accepted answer links:
[.read_csv]: https://pandas.pydata.org/pandas-docs/st...
[the ]: http://pandas.pydata.org/pandas-docs/dev...

Answer 2 links:
[from_csv]: http://pandas.pydata.org/pandas-docs/ver...

Answer 3 links:
[pandas.read_table(filepath)]: https://pandas.pydata.org/docs/reference...

Answer 4 links:
[image]: https://i.stack.imgur.com/EfaO5.png

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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...

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Tags
#python #pandas #csv

#avk47

ACCEPTED ANSWER

Score 288

The .read_csv function does what you want:

pd.read_csv('c:/~/trainSetRel3.txt', sep='\t')

If you have a header, you can pass header=0.

pd.read_csv('c:/~/trainSetRel3.txt', sep='\t', header=0)

Note: Prior 17.0, pd.DataFrame.from_csv was used (it is now deprecated and the .from_csv documentation link redirects to the page for pd.read_csv).

ANSWER 2

Score 112

As of 17.0 from_csv is discouraged.

Use pd.read_csv(fpath, sep='\t') or pd.read_table(fpath).

ANSWER 3

Score 70

Use pandas.read_table(filepath). The default separator is tab.

ANSWER 4

Score 9

open file, save as .csv and then apply

df = pd.read_csv('apps.csv', sep='\t')

for any other format also, just change the sep tag