arpes.widgets.pca_explorer(pca, data, component_dim='components', initial_values=None, transpose_mask=False, **kwargs)[source]

A tool providing PCA decomposition exploration of a dataset.

  • pca – The decomposition of the data, the output of an sklearn PCA decomp.

  • data – The original data.

  • component_dim – The variable name or identifier associated to the PCA component projection in the input data. Defaults to “components” which is what is produced by pca_along.

  • initial_values – Which of the PCA components to use for the 2D embedding. Defaults to None.

  • transpose_mask – Controls whether the PCA masks should be transposed before application. Defaults to False.