Metadata-Version: 2.1
Name: csvObject
Version: 0.8.1
Summary: Simple Objected based approach to using data from a csv
Home-page: UNKNOWN
Author: Samuel Baker
Author-email: samuelbaker.researcher@gmail.com
Maintainer: Samuel Baker
Maintainer-email: samuelbaker.researcher@gmail.com
License: MIT
Download-URL: https://github.com/sbaker-dev/csvObject
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown


# csvObject

Simple Objected based approach to using data from a csv

<!--ABOUT THE PROJECT -->

## About The Project

csvObject is just a simple object base approach to loading in a csv file and using the data. In more complex cases when
doing actual data analysis or changing the structure of the file, using [pandas](https://github.com/pandas-dev/pandas)
makes much more sense. But if all you want is to have a light weight way of extracting the data from the csv file parsed
into an object with a few basic options without Numpy then this may be of interest.

All the source code can be found at the [csvObject git repository](https://github.com/sbaker-dev/csvObject) with 
additional information found on the [docs site](https://sbaker-dev.github.io/csvObject/)



