Skip to main content

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

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

csvObject-0.6.0-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file csvObject-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: csvObject-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.3

File hashes

Hashes for csvObject-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f5fc6137103b0047c6b9ad6a37eac57ca744e498b1db2f12fe5deee101e83f10
MD5 3a608c53f874a03b8a64a2117346edba
BLAKE2b-256 73243a0401368ce04959eef6df3053e86a0d929bdefaa57d00e08266147f3964

See more details on using hashes here.

Supported by

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