References

Code

sci-viso is designed for Python >=3.6 and requires the following libraries, which will be automatically installed:

Library

Version

Reference

NumPy

>= 1.9.0

Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 0.1038/s41586-020-2649-2

pandas

>= 1.0.3

 https://zenodo.org/badge/DOI/10.5281/zenodo.3715232.svg

matplotlib

>= 3.3.3

 https://zenodo.org/badge/DOI/10.5281/zenodo.3264781.svg

seaborn

>= 0.11.1

 https://zenodo.org/badge/DOI/10.5281/zenodo.4379347.svg

We strongly encourage you to cite the other python packages.

Data

Name

Link

Reference

Iris dataset

https://archive.ics.uci.edu/ml/datasets/Iris/

Fisher,R.A. “The use of multiple measurements in taxonomic problems” Annual Eugenics, 7, Part II, 179-188 (1936); Edgar Anderson (1936). “The species problem in Iris”. Annals of the Missouri Botanical Garden. 23 (3): 457–509. doi:10.2307/2394164

Environments

This will be user dependent but don’t forget to cite anaconda if you use it or reticulate if you use R.