easyclimate.core.eof

The analysis of the EOF and MCA

Note

xeofs: https://xeofs.readthedocs.io/en/latest/

Functions

calc_EOF_analysis(model[, PC_normalized])	Calculate the results of the EOF model.
calc_MCA_analysis(model[, correction, ...])	Calculate the results of the EOF model.
calc_REOF_analysis(model[, PC_normalized])	Calculate the results of the REOF model.
get_EOF_model(data_input, lat_dim, lon_dim)	Build the model of the Empirical Orthogonal Functions (EOF) analysis, more commonly known as Principal Component Analysis (PCA).
get_EOF_projection(model, data[, normalized])	Project data onto the components.
get_MCA_model(data_left, data_right, ...[, ...])	Build the model of the Maximum Covariance Analyis (MCA).
get_MCA_projection(model, data_left, data_right)	Get the expansion coefficients of "unseen" data.
get_REOF_model(data_input, lat_dim, lon_dim)	Build the model of the Rotate Empirical Orthogonal Functions (REOF) analysis.
get_REOF_projection(model, data[, normalized])	Project data onto the components.
load_EOF_model(path[, engine])	Load a saved EOF model.
load_MCA_model(path[, engine])	Load a saved MCA model.
load_REOF_model(path[, engine])	Load a saved REOF model.
save_EOF_model(model, path[, overwrite, ...])	Save the model.
save_MCA_model(model, path[, overwrite, ...])	Save the model.
save_REOF_model(model, path[, overwrite, ...])	Save the model.