icy: Python 3 data wrangling glue code

"saving time handling multiple different data sources"

Latest Release
Package Status
License
PyPI

Installation

• Activate Python 3.4 / 3.5 environment
• Run

pip install icy

• Or download from PyPI (release) or github (dev) and run

python setup.py install

Usage

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!

License

• MIT

Discussion and Development

• Issues and Pull Requests are welcome!
• Find more contact details at https://www.rcs-analytics.com

© 2015 Jonathan Rahn, RCS Analytics GmbH