Simple Objected based approach to using data from a csv
Project description
csvObject
Simple Objected based approach to using data from a csv
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 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 with additional information found on the docs site
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file csvObject-0.8.0-py3-none-any.whl.
File metadata
- Download URL: csvObject-0.8.0-py3-none-any.whl
- Upload date:
- Size: 6.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.9.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e3629d3eca42361e81ca2168a52679db41d9925f767b66584f45724ce2947c8a
|
|
| MD5 |
d7c74e77a61f98e35da846e1e917f993
|
|
| BLAKE2b-256 |
c68ff863d256d154c5ed2ecafe3fd1de4723865b272ed5fa1ef4936f53d153e7
|
