This module describes classes for performing windowed and overlapping windowed analysis.
music21.analysis.windowed.WindowedAnalysis provides a reusable framework for
systematic overlapping window analysis at the starting at the level of the quarter note
and moving to the size of an entire
Modular analysis procedures inherit from
music21.analysis.discrete.KrumhanslSchmuckler (for algorithmic key detection)
music21.analysis.discrete.Ambitus (for pitch range analysis) classes provide examples.
process(minWindow=1, maxWindow=1, windowStepSize=1, windowType='overlap', includeTotalWindow=True)¶
Main method for windowed analysis across one or more window size.
_analyze()for the number of different window sizes to be analyzed.
The minWindow and maxWindow set the range of window sizes in quarter lengths. The windowStepSize parameter determines the increment between these window sizes, in quarter lengths.
If minWindow or maxWindow is None, the largest window size available will be set.
If includeTotalWindow is True, the largest window size will always be added.
>>> s = corpus.parse('bach/bwv324') >>> p = analysis.discrete.KrumhanslSchmuckler() >>> # placing one part into analysis >>> wa = analysis.windowed.WindowedAnalysis(s.parts, p) >>> x, y, z = wa.process(1, 1, includeTotalWindow=False) >>> len(x) # we only have one series of windows 1
>>> y.startswith('#') # for each window, we get a solution and a color True >>> x <music21.pitch.Pitch B>
>>> x, y, z = wa.process(1, 2, includeTotalWindow=False) >>> len(x) # we have two series of windows 2
>>> x # the data returned is processor dependent; here we get (<music21.pitch.Pitch B>, 'major', 0.6868258874056411) >>> y.startswith('#') # a color is returned for each matching data position True