Skip to main content

Plotting functions for visualisation of data analysis results from the hoggorm package

Project description

hoggormplot is a python package that contains simple plotting functions for visualisation of data analysis results from the hoggorm package.

Hoggorm is a Python package for explorative multivariate statistics in Python. It contains PCA (principal component analysis), PCR (principal component regression), PLSR (partial least squares regression) and the matrix corrlation coefficients RV and RV2.

Installation

pip install hoggormplot

Requirements

  • hoggorm

  • matplotlib

Documentation

hoggormplot contains the following scripts for showcasing the use of the plotting functions for each of the implemented analysis methods:

  • TEST_pca.py

  • TEST_pcr.py

  • TEST_pls1.py

  • TEST_pls2.py

You can run this code by typing this on the commandline:

python -m hoggormplot.TEST_pca
python -m hoggormplot.TEST_pcr
python -m hoggormplot.TEST_pls1
python -m hoggormplot.TEST_pls2

The content of these files will later be moved to Ipython notebooks for easier exploration.

Latest changes

None.

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

hoggormplot-0.9.0.tar.gz (14.1 kB view hashes)

Uploaded Source

Built Distribution

hoggormplot-0.9.0-py2.py3-none-any.whl (16.7 kB view hashes)

Uploaded Python 2 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