Visual dataset explorer
Project description
Elcano
Currently under initial development, do not use.
This Python 3 library is a visual dataset explorer that can be used to analyse the main properties of a dataset. It is named after Juan Sebastián Elcano, the explorer who completed the first circumnavigation of the Earth.
Some of the main features of this library are:
- Wide format support: The formats ARFF, BSI, CSV, DAT, DATA, JSON, LIBSVM, M, NAMES, XRFF and their gzipped versions can be used.
- Comprehensive analysis features: many analysis tools are available to study the dataset, giving access to well-known toolboxes such as scikit-learn, keras and pandas.
- Pipeline storage and sharing: the pipelines created can be saved locally and uploaded to the pipeline cloud.
- Simple-yet-powerful interface: when a dataset is loaded, a web platform is deployed locally to analyse the datasets visually. Every pipeline can be exported as a script to avoid losing the grip on the process.
Install and usage
Installing and using this library is as simple as:
$ pip install elcano
Successfully installed elcano-0.1
$ elcano dataset.csv
A complete reference will be added as the development of this library advances.
Changes
v0.0.
Released on May 24, 2020.
- Initial package upload.
Project details
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 Distribution
elcano-0.1.0.tar.gz
(2.1 kB
view hashes)
Built Distribution
elcano-0.1.0-py3-none-any.whl
(3.2 kB
view hashes)