Converting tabular data into images
Project description
Data2Image
Data2Image is a state-of-the-art library that wraps the most important techniques for the construction of Synthetic Images from Sorted Data (also known as Tabular Data).
Features
-
Input data formats (2 options):
- Pandas Dataframe
- Files with the following format
-
Runs on Linux, Windows and macOS systems.
-
Compatible with Python 3.7 or higher.
Models
Model | Class | Features | Hyperparameters |
---|---|---|---|
TINTO | tinto() |
blur |
algorithm pixels blur amplification distance steps option seed times verbose |
Documentation
Getting Started
You can install Data2Image using Pypi(test):
pip install data2image-alpha
To import a specific model use
from data2Image.models import tinto
Create the model. If you don't set any hyperparameter, the model will use the default values (read documentation).
model = tinto(blur=True)
To generate the synthetic images use .genereateImages(data,folder)
method.
model.generateImages(data, resultsFolderPath)
License
Data2Image is available under the Apache License 2.0.
Authors
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
Built Distribution
Hashes for data2image_alpha-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5ac11293c825748050a2f873b84619b94a9f661bcedd267ca1174569b5ffab30 |
|
MD5 | 7a4fe231e51fe7243ed006cff7367e64 |
|
BLAKE2b-256 | 2a161c90186e4ca6ac438ed06083471c35e7ac3b0530a9d05c5bc936a12599bb |