Source code for music21.analysis.patel
# ------------------------------------------------------------------------------
# Name: patel.py
# Purpose: Tools for testing Aniruddh D. Patel's analysis theories
#
# Authors: Michael Scott Asato Cuthbert
#
# Copyright: Copyright © 2011 Michael Scott Asato Cuthbert
# License: BSD, see license.txt
# ------------------------------------------------------------------------------
from __future__ import annotations
from statistics import mean, stdev
import unittest
[docs]
def nPVI(streamForAnalysis):
'''
Algorithm to give the normalized pairwise variability index
(Low, Grabe, & Nolan, 2000) of the rhythm of a stream.
Used by Aniruddh D. Patel to argue for national differences between musical
themes. First encountered it in a presentation by Patel, Chew, Francois,
and Child at MIT.
n.b. -- takes the distance between each element, including clefs, keys, etc.
use .notesAndRests etc. to filter out elements that are not useful (though this will skip
zero length objects)
n.b. -- duration is used rather than actual distance -- for gapless
streams (the norm) these two measures will be identical.
>>> s2 = converter.parse('tinynotation: 4/4 C4 D E F G').flatten().notesAndRests.stream()
>>> analysis.patel.nPVI(s2)
0.0
>>> s3 = converter.parse('tinynotation: 4/4 C4 D8 C4 D8 C4').flatten().notesAndRests.stream()
>>> analysis.patel.nPVI(s3)
66.6666...
>>> s4 = corpus.parse('bwv66.6').parts[0].flatten().notesAndRests.stream()
>>> analysis.patel.nPVI(s4)
12.96296...
'''
s = streamForAnalysis # shorter
totalElements = len(s)
summation = 0
prevQL = s[0].quarterLength
for i in range(1, totalElements):
thisQL = s[i].quarterLength
if thisQL > 0 and prevQL > 0:
summation += abs(thisQL - prevQL) / ((thisQL + prevQL) / 2.0)
else:
pass
prevQL = thisQL
final = summation * 100 / (totalElements - 1)
return final
[docs]
def melodicIntervalVariability(streamForAnalysis, **skipKeywords):
'''
Gives the Melodic Interval Variability (MIV) for a Stream,
as defined by Aniruddh D. Patel in "Music, Language, and the Brain"
p. 223, as 100 x the coefficient of variation (standard deviation/mean)
of the interval size (measured in semitones) between consecutive elements.
The multiplication by 100x exists to put it in the same range as nPVI.
Keywords are passed on to
Stream.findConsecutiveNotes() via Stream.melodicIntervals for
determining how to find consecutive intervals.
>>> s2 = converter.parse('tinynotation: 4/4 C4 D E F# G#')[note.Note].stream()
>>> analysis.patel.melodicIntervalVariability(s2)
0.0
>>> s3 = converter.parse('tinynotation: 4/4 C4 D E F G C')[note.Note].stream()
>>> analysis.patel.melodicIntervalVariability(s3)
85.266688...
>>> s4 = corpus.parse('bwv66.6').parts[0][note.GeneralNote].stream()
>>> analysis.patel.melodicIntervalVariability(s4)
65.287...
Too short streams raise a ValueError:
>>> s5 = converter.parse('tinynotation: 4/4 C2 D2')[note.Note].stream()
>>> analysis.patel.melodicIntervalVariability(s5)
Traceback (most recent call last):
ValueError: need at least three notes to have a std-deviation of intervals (and thus a MIV)
* Changed in v9: ValueError rather than a Music21Exception raised.
'''
s = streamForAnalysis # shorter
intervalStream = s.melodicIntervals(**skipKeywords)
totalElements = len(intervalStream)
if totalElements < 2: # this is correct.
raise ValueError('need at least three notes to have '
+ 'a std-deviation of intervals (and thus a MIV)')
# summation = 0
semitoneList = [myInt.chromatic.undirected for myInt in intervalStream]
return 100 * (stdev(semitoneList) / mean(semitoneList))
class Test(unittest.TestCase):
pass
# ------------------------------------------------------------------------------
# define presented order in documentation
_DOC_ORDER = [melodicIntervalVariability]
if __name__ == '__main__':
import music21
music21.mainTest(Test)