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
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
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