1.5.1

• Detection of outliers is now optional. If you do not want to detect outliers use the following during initialiation: detect_outliers=None. The detection of outliers can now be set by: detect_outliers=['ht2', 'spe'] (default)

1.5.0

Many improvements thanks to Daniel Scott!

• Added alpha_transparency option & tests
• Fixed syntax in Readme
• Fix default value in docstring
• Added alpha_transparency argument & tests for all relevant plots
• Added pytest github workflow
• Fix pytest yaml syntax
• Added miniconda pandas to github workflow so that test suite can run
• Added requirements to pytest
• Removed explicit reference to tests
• Removed macosx support from tests. Colormap not supported on osx"
• Removed explicit reference to tests
• Moved tests dir
• Initialized test directory
• Added wget to dependencies
• Improved commenting in test coverage
• pytest fix for slow CI on windows
• pytest fix for slow CI on windows (contd)
• Added numpy installation to conda
• pytest fix for slow CI builds
• Disable testing for windows (only linux)

1.4.0

• Transforming unseen data is now possible with the "transform" function

1.3.0

• visible status can be set in plots

1.2.0

• Change colormap in biplot using the cmap parameter
• Some pep8 styling.
• Bug fix that resulted in an error in very unusual cases.

1.1.2

• Bug fix: ellipse was removed before returning

1.1.1

• Direct plotting from spe_dmodx is possible with the showfig parameter

1.1.0

• outlier detection with spe/DmodX
• plotting SPE/DmodX
• results of spe/dmodx in key 'outliers'
• Hotelling T2 test and SPE are separate boolean parameters.
• Boolean parameter outlier is removed.
• Update in examples

1.0.9

• Outlier detection incorporated using hotelling T2 test and fishers method.
• Outliers in plots
• Outliers docstrings
• Outliers example in readme file

Have fun with outliers!

1.0.8

• loadings are shown in biplot
• the output of ['topfeat'] contains additional columns where the selected loadings are shown.
• bug fix in 3d plot
• additional parameter "label" to plot labels in scatter/biplot