I have got dataset named train.tsv.7z
and test.tsv.7z
. I unzip them in my Mac with unarchiver (double click) so I have the train.tsv
and test.tsv
now.
Then I am reading those files with pandas using
PATH='data/projData/'
tables = pd.read_table(PATH)
But I am getting error
ParserError: Error tokenizing data. C error: Calling read(nbytes) on source failed. Try engine='python'.
Looking into other stackoverflow thread, it seems the error is due to the file being corrupted. But not sure how to solve this issue.
I am using python3.6 conda environment
It doesn't work this way.
You have to specify a single file (not a directory):
train = pd.read_csv('data/projData/train.tsv', sep='\t')
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