Skip to main content

Network transition chord progressions

Project description

Chord Progression Network

Network transition chord progression generator

DESCRIPTION

This class generates network transition chord progressions. The transitions are given by a net of scale positions, and the chord "flavors" are defined by a chord_map of types. The chords that are returned are either named chords or lists of three or more named notes with octaves.

The chord types are as follows:

'' (i.e. an empty string) means a major chord.
'm' signifies a minor chord.
'7' is a seventh chord
'M7' is a major 7th chord and 'm7' is a minor 7th.
'dim' is a diminished chord and 'aug' is augmented.
'9', '11', and '13' are extended 7th chords.
'M9', 'M11', and 'M13' are extended major-7th chords.
'm9', 'm11', and 'm13' are extended minor-7th chords.

For the major scale (ionian mode), this chord_map is ['', 'm', 'm', '', '', 'm', 'dim']. The dorian mode is ['m', 'm', '', '', 'm', 'dim', '']. A chromatic scale is all minors. This can be set in the constructor, or seen by printing it after Generator construction.

The tonic attribute means that if the first chord of the progression is being generated, then for 0 choose a random successor of the first chord, as defined by the net attribute. For 1, return the first chord in the scale. For any other value, choose a random value of the entire scale.

The resolve attribute means that if the last progression chord is being generated, then for 0 choose a random successor. For 1, return the first chord in the scale, and for any other value, choose a random value of the entire scale. In all other cases (i.e. the middle chords of the progression), choose a random successor.

By default, all chords and notes with accidentals are returned as sharps. If you want flats, set the flat attribute to True in the constructor.

If the substitute attribute is set to True, then the progression chords are subject to extended, "jazz" chord, including tritone substitution. For now, for this work-in-progress advanced option, please see the substitution() method in the source...

SYNOPSIS

from chord_progression_network import Generator

g = Generator( # defaults
    max=8,
    scale_note='C',
    scale_name='major',
    octave=4,
    net={
        1: [1, 2, 3, 4, 5, 6],
        2: [3, 4, 5],
        3: [1, 2, 4, 6],
        4: [1, 3, 5, 6],
        5: [1, 4, 6],
        6: [1, 2, 4, 5],
        7: [],
    },
    chord_map=[ '', 'm', 'm', '', '', 'm', 'dim' ],
    tonic=1,
    resolve=1,
    flat=False,
    chord_phrase=False,
    substitute=False,
    verbose=False,
)
phrase = g.generate()

MUSICAL EXAMPLES

from music21 import chord, stream
from chord_progression_network import Generator

g = Generator(verbose=True)
phrase = g.generate()

s = stream.Score()
p = stream.Part()

for notes in phrase:
    p.append(chord.Chord(notes, type='whole'))

s.append(p)

s.show()
from music21 import chord, duration, stream
from chord_progression_network import Generator
from random_rhythms import Rhythm

r = Rhythm(durations=[1, 3/2, 2])
motifs = [ r.motif() for _ in range(4) ]

s = stream.Score()
p = stream.Part()

g = Generator()

for m in motifs:
    g.max = len(m)
    phrase = g.generate()
    for i, d in enumerate(m):
        c = chord.Chord(phrase[i])
        c.duration = duration.Duration(d)
        p.append(c)

s.append(p)

s.show()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

chord_progression_network-0.1.11.tar.gz (43.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

chord_progression_network-0.1.11-py3-none-any.whl (30.1 kB view details)

Uploaded Python 3

File details

Details for the file chord_progression_network-0.1.11.tar.gz.

File metadata

File hashes

Hashes for chord_progression_network-0.1.11.tar.gz
Algorithm Hash digest
SHA256 b746d83d1a3a0ed861dc172d495fa5b236ed59cb9cc76185ff82b1ea92ce0e51
MD5 c3989295b5a3c846e0422feb7be79e10
BLAKE2b-256 cd78f63b25fb7fc1e687df43fd3a236fcee8163b5d0a05ba6fd339d08ed272e2

See more details on using hashes here.

File details

Details for the file chord_progression_network-0.1.11-py3-none-any.whl.

File metadata

File hashes

Hashes for chord_progression_network-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 54204c7213d62c51dda7cd48b250dd2ef29ca222daaa6a4c19235247fbf511c3
MD5 1dfd3051436d04b706ed2267f92e5ec7
BLAKE2b-256 e86f4aca5bb193b154d578dfd0a4acbdd756086490af4a2fb9d956966b700a78

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page