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- Activate Python 3 environment
- Run
pip install icy
python setup.py install
import icy
icy.preview(path)
data = icy.read(path)
icy.preview(path)
displays an overview over the data icy was able to parse. This helps configuring all parsing options.icy.read(path)
returns a dictionary of pandas.DataFrames.path
can be any folder or zip-, csv-, tsv-, txt-, json-, html-, xml-, xls-, xlsx-, sqlite-, hdf5-file or uri (like s3://, http://, ftp://, ssh://, hdfs://, postgresql://).- icy wraps the pandas parsers and odo. Parsing options can be specified in a YAML-file.
- For more details see the docs and especially the examples!
- Issues and Pull Requests are welcome!
- Find more contact details at http://www.rcs-analytics.com
© 2015-2018 Jonathan Rahn, RCS Analytics GmbH