Skip to main content

A module for altering numerical dataset's formats, made on top of Pandas.

Project description

A module for altering numerical dataset’s formats, made on top of Pandas

https://img.shields.io/badge/build-beta-brightgreen https://img.shields.io/badge/license-MIT-green https://img.shields.io/static/v1?label=Created%20with%20%E2%9D%A4%EF%B8%8F%20by&message=TechLearners&color=red

Introduction

This module is written on top of Pandas to alter a numerical dataset into different formats quickly. From now, alteration of dataset formats is as exciting as writing a poem. So, write a poem and create magic with data, one step faster with this module.

rubaialter is a module that will perform conversions among these .csv ,.xlsx, .xls, .sqlite3 file formats using Pandas under the hood.

Example:

$ rubaialter dataset.xlsx --csv

pip install rubaialter will automatically create an executable script in your Scripts/ folder, so you should be able to simply:

$ rubaialter dataset.csv --xlsx

or even:

$ rubaialter *.csv --xlsx

You can type:

$ rubaialter -h

to obtain the following CLI:

usage: rubaialter.py [-h] [--csv] [--xls] [--xlsx] [--sqlite]
                     [--force] filenames [filenames ...]

A module for altering datasets formats made on top of Pandas

positional arguments:
filenames   .csv, .xls, .xlsx, .sqlite3

optional arguments:
-h, --help  show this help message and exit
--csv       Convert to csv
--xls       Convert to xls
--xlsx      Convert to xlsx
--sqlite    Convert to sqlite3
--force     Enable overwriting

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

rubaialter-1.1.0b1.tar.gz (7.0 kB view hashes)

Uploaded Source

Built Distribution

rubaialter-1.1.0b1-py3-none-any.whl (7.1 kB view hashes)

Uploaded Python 3

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