openalea.phenomenal.tracking.alignment_postprocessing.detect_abnormal_ranks

openalea.phenomenal.tracking.alignment_postprocessing.detect_abnormal_ranks(alignment_matrix)

Specific to plant alignment. Detect abnormal columns in ‘alignment_matrix’ object resulting from multi alignment based on the following criteria: - A column is abnormal if it contains 2 times less aligned vectors in average (value != -1 in ‘alignment_matrix’) than the surrounding columns. - first and last columns can’t be abnormal

Parameters:

alignment_matrix (2D array) – result of multi_alignment() function