Simple dataset convertor in Python. Currently memory hungry in case of large datasets.

Install package via pip:

$ pip install convertme

Use the provided CLI:

$ convertme --help
Usage: convertme [OPTIONS]

Options:
-if, --input-format [csv|fimi|cxt|mat|cex]
                                [required]
-of, --output-format [csv|fimi|cxt|mat|cex]
                                [required]
-i, --input TEXT                Input file, skip it for stdin.
-o, --output TEXT               Output file, skip it for stdout.
--input-delimiter TEXT          (CSV) Delimiter of input.  [default: ,]
--output-delimiter TEXT         (CSV) Delimiter of output.  [default: ,]
--objects-col INTEGER           (CSV) Index of column with object labels,
                                typically 0, ignored on default.

--attributes-row INTEGER        (CSV) Index of row with attribute labels,
                                typically 0, ignored on default.

--true-values TEXT              (CSV) Values which will be count as True,
                                comma separated.

--help                          Show this message and exit.

Convert simple csv file to fimi format:

$ convertme -i dataset.csv -if=csv -o dataset.fimi -of=fimi

Content of dataset.csv:

1,0,1,0
0,1,0,1

Content of dataset.fimi:

0 2
1 3

• csv
• burmeister (.cxt)
• fimi
• matlab (version<=7.3)
• conexp (.cex)

Clone this repository to the folder, then:

# create virtualenv (optional)
$ mkvirtualenv convertme -p python3

#if is not actived (optional)
$ workon convertme

$ pip install -e .

$ python setup.py test