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.

The scale must be specified with one of the known scales listed on the musical-scales page. A custom scale of named notes (with appropriate net and chord_map attributes) may also be given. Traditional modes (Ionian, Dorian, etc) have known chord_maps. For all other scales, a chord_map should be given in the constructor.

For the traditional modes, the chord_maps are as follows: The "Ionian" mode (major scale) is ['', 'm', 'm', '', '', 'm', 'dim']. "Dorian" is ['m', 'm', '', '', 'm', 'dim', ''], etc. A "chromatic" scale is all minors.

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-0.1.16.tar.gz (44.0 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-0.1.16-py3-none-any.whl (30.3 kB view details)

Uploaded Python 3

File details

Details for the file chord_progression_network-0.1.16.tar.gz.

File metadata

File hashes

Hashes for chord_progression_network-0.1.16.tar.gz
Algorithm Hash digest
SHA256 0d941d8bd95d977838e36e94dccb45bd7dc2583e6a8fb831dbe6430bd0a86d79
MD5 357dcb1675e32dbaea11d4f8145bf78d
BLAKE2b-256 5e00a1ad687da3eb5a0fbf4df7319d9295f6d474c8296f3bc1486720f9a8b917

See more details on using hashes here.

File details

Details for the file chord_progression_network-0.1.16-py3-none-any.whl.

File metadata

File hashes

Hashes for chord_progression_network-0.1.16-py3-none-any.whl
Algorithm Hash digest
SHA256 551d2a2f4eedd7a610d9c4a8f6c73d26cf51a036e12375ff75b50e0e00820c1b
MD5 8acb3c6a7640ca2ebba91aea34f5ab68
BLAKE2b-256 711f674b061b391c1e11025227ddddb604d027f3e9f2c886766f28df19b802f4

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