Visualization

MusPy supports two visualization tools. Both use Matplotlib as the backend for flexibility.

Piano-roll Visualization

The piano-roll visualization is made possible with the Pypianoroll library.

_images/pianoroll.png
muspy.show_pianoroll(music, **kwargs)[source]

Show pianoroll visualization.

Score Visualization

The score visualization is made possible with the Bravura font.

_images/score.png
muspy.show_score(music, figsize=None, clef='treble', clef_octave=0, note_spacing=None, font_path=None, font_scale=None)[source]

Show score visualization.

Parameters:
  • music (muspy.Music) – Music object to show.

  • figsize ((float, float), optional) – Width and height in inches. Defaults to Matplotlib configuration.

  • clef ({'treble', 'alto', 'bass'}, default: 'treble') – Clef type.

  • clef_octave (int, default: 0) – Clef octave.

  • note_spacing (int, default: 4) – Spacing of notes.

  • font_path (str or Path, optional) – Path to the music font. Defaults to the path to the downloaded Bravura font.

  • font_scale (float, default: 140) – Font scaling factor for finetuning. The default value of 140 is optimized for the default Bravura font.

Returns:

A ScorePlotter object that handles the score.

Return type:

muspy.ScorePlotter

muspy.ScorePlotter(fig, ax, resolution, note_spacing=None, font_path=None, font_scale=None)[source]

A plotter that handles the score visualization.

muspy.fig

Figure object to plot the score on.

Type:

matplotlib.figure.Figure

muspy.axes

Axes object to plot the score on.

Type:

matplotlib.axes.Axes

muspy.resolution

Time steps per quarter note.

Type:

int

muspy.note_spacing

Spacing of notes.

Type:

int, default: 4

muspy.font_path

Path to the music font. Defaults to the path to the downloaded Bravura font.

Type:

str or Path, optional

muspy.font_scale

Font scaling factor for finetuning. The default value of 140 is optimized for the default Bravura font.

Type:

float, default: 140