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Tone clock visualizations

Project description

PitchClock Logo

PitchClock Logo

PitchClock

PitchClock is a Python library for generating tone clock visualizations. Tone clocks were originally developed as a tool for atonal composition, but can also be quite useful for visualizing tonal structures in classical and Just Intonation theory as well.

License

PitchClock is distributed under the permissive MIT license.

Installation

The latest stable distribution of PitchClock can be installed with pip:

pip install pitchclock

Or, if you prefer the current development version:

pip install git+https://github.com/hosford42/pitchclock.git

Example Usage

As an example, let’s compare the equal temperament major scale, versus the just intonation scale it approximates, known as the syntonic diatonic scale. Tone clocks are used for visualizing the relationships, i.e. the intervals, between the pitches, rather than the absolute pitches themselves. Thus the typical approach is to label the pitches with the intervals from the tonic that produce them, and to place the tonic at the 12 o’clock position. The equal temperament intervals are represented as the number of half-tones in the interval, enclosed within square brackets. The just intervals are represented as whole number frequency ratios. For this graph, we will mark the equal temperament intervals with filled circles, the just intervals with outlined circles, and the tonic with an angle mark. Here’s the code to produce the graph:

from fractions import Fraction
from pitchclock import ETInterval, ToneClock

# The equal temperament scale, expressed as equal temperament
# intervals from the tonic.
et_major_scale = [ETInterval(s) for s in [0, 2, 4, 5, 7, 9, 11]]

# The just intonation scale, expressed as frequency ratios from
# the tonic.
ji_major_scale = [
    Fraction(*pair)
    for pair in [(1, 1), (9, 8), (5, 4), (4, 3), (3, 2), (5, 3), (15, 8)]
]

# Here we create the clock, indicating which pitches to represent
# with each type of marking in the graph.
clock = ToneClock(
    filled_dots=et_major_scale,
    empty_dots=ji_major_scale,
    angles=[et_major_scale[0], ji_major_scale[0]],
    labels={p: p for p in et_major_scale + ji_major_scale}
)

# We make the radius a little bigger because there's a lot going
# on in this graph. A bigger radius means more space for details.
clock.style.radius *= 1.5

# Everything is quantized to quarter tones by default, but we are
# building this graph specifically to compare slight differences
# in pitch, so we turn it off. However, we leave it on for labels,
# because otherwise they will overlap for pitches that are very
# close neighbors. With quantization of labels left on, labels
# falling within the same quantum will be grouped together with
# commas to separate them.
clock.style.quantize_non_labels = False

# Save the clock as a PNG file. Currently, this is the only
# supported format.
clock.save('images/major_comparison.png')

And here’s the image it produces:

Major Scale Comparison

Major Scale Comparison

From this graph, it becomes immediately apparent that the intervals in the syntonic scale that are most poorly approximated by the equal temperament major scale are 5/4, 5/3, and 15/8, each of which is slightly flatter than the equal temperament pitch used to approximate it.

Project details


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