hoggormplot 0.8.8

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

• pandas

Documentation

By now the example code is in these files in the hoggormPlot package:

• 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.