Skip to main content

An extensible package to automate and enhance the manipulation of tabular/matrix data without giving up performance.

Project description

License

matrixb

matrixb is a Python library to provide a single interface to handle common data input, cleaning, and analysis features for data science datasets. The name MatrixB arise from a play on several interpretations - Matrix, Beta (Experimental tools to use with matrices) and Matrix, Version B (Enhancements on 2-D matrix processing).

In general, you might consider matrixb as occupying a middlespace between the speed and efficiency of using native 2-D array matrices in Python and sophisticated statistical datastructures such as dataframes in Pandas and R. It provides a singular interface to load in csv, xls, xlsx, and ods files, automatically cleans common mistakes (accidentally adding a space to the end of a text string, or changing the capitalization structure of column names between two different data files) and allows tremendous flexibility in programmer-assisted cleaning and analysis, in part by leveraging the tools in the pydatacleaner package. If you need more functionality than matrixb, you likely should be using Pandas. There isn't a lot of overhead in matrixb (at least that can't be eliminated with a switch passed into the constructor), and so if it is too heavy for you, you probably need to custom write your own processing.

Distribution

Project Status

Currently, matrixb is functional but shallowly vetted condition and should be considered alpha software. Some features that were implemented in the past may have been broken with more recent refactoring, and test coverage is still limited. Your mileage may vary.

Code comments of NOTE and TODO indicate known shortcomings that may be useful to you. The interface will likely change in future versions.

If you wish to rely on features of this package, I am likely more than willing to accommodate and to incorporate sensible design improvements or, in some cases, changes.

Installation

Use the package manager pip to install matrixb.

pip install matrixb

Usage

Many examples of usage are available in the main test files included in the t/ subdirectory.

import matrixb

**EXAMPLES coming soon**

Contributing

Contributions are collaboration is welcome. For major changes, please contact me in advance to discuss.

Please make sure to update tests for any contribution, as appropriate.

Author

Kevin Crouse. Copyright, 2019.

License

Apache 2.0

Project details


Download files

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

Source Distribution

matrixb-0.0.1.4.tar.gz (27.0 kB view details)

Uploaded Source

Built Distribution

matrixb-0.0.1.4-py3-none-any.whl (40.8 kB view details)

Uploaded Python 3

File details

Details for the file matrixb-0.0.1.4.tar.gz.

File metadata

  • Download URL: matrixb-0.0.1.4.tar.gz
  • Upload date:
  • Size: 27.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3

File hashes

Hashes for matrixb-0.0.1.4.tar.gz
Algorithm Hash digest
SHA256 0ac7eef2ae1995ab71850f4501bfc0019a254b40705bc686c14e48884de920e3
MD5 715227e3d5f70d1dde5e722b425a2d58
BLAKE2b-256 1447c5ccfb4b9288b97624cb56bce5226c00e4e80132ddc031361c7c98fa7967

See more details on using hashes here.

File details

Details for the file matrixb-0.0.1.4-py3-none-any.whl.

File metadata

  • Download URL: matrixb-0.0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 40.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3

File hashes

Hashes for matrixb-0.0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 640def7e6e9142adee728abb84684996d80b362176888715e8c6ea7820595106
MD5 c2e70ef73d64dc76b9739552db2c2001
BLAKE2b-256 5dc1d63d62dd4896d5f4f90d8d4feb330ad88bc77216b5c2a86307602eb64bf5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page