Skip to main content

Library and CLI for storing numeric data frames in HDF5

Project description

Python library and CLI for storing numeric data frames in HDF5.

Rationale

Pandas has utilities for storing data frames in HDF5, but it uses PyTables under the hood, which means it is limited to frames with a relatively low number of columns (low 1000s).

This library is intended for storing and querying arbitrarily large numeric matrices which have row and column names. It has a CLI which can export/import to/from delimited text, or it can be used from within Python with tight integration with Pandas.

This library stores only numeric matrices, so it cannot handle data frames with mixed types (e.g., some strings and some numbers).

Installation

From PyPI:

pip install h5df

Latest version:

git clone https://github.com/gilesc/h5df.git
cd h5df
python setup.py install --user

This installs the CLI script “h5df”, and a Python module with the same name.

Usage

$ cat in.txt

    A   B   C
X   1   2   3
Y   4   5   5

$ h5df load foo.h5 /my/path < in.txt
$ h5df dump foo.h5 /my/path

    A   B   C
...

(more examples to come)

License

GPLv3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for h5df, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size h5df-0.0.4.tar.gz (1.5 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page