How to load a tsv file into a Pandas DataFrame?

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).

As of 17.0 from_csv is discouraged.

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

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

Try this

df = pd.read_csv("rating-data.tsv",sep='\t')
df.head()

You actually need to fix the sep parameter.

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