plot_waveform#

scikitplot.doremi.plot_waveform(data, sample_rate=None, normalize=False, title='Audio Waveform (Normalized 440Hz Tone)', figsize=(10, 4))[source]#

Plot the waveform of mono or multi-channel audio data.

Parameters:

datanp.ndarray: 1D or 2D audio data. 1D for mono or 2D for multi-channel. If 2D, shape must be (samples, channels) or (channels, samples).
sample_rateint, default=44100: Sampling rate in Hz.
titlestr, default=”Audio Waveform”: Title of the plot.
figsizetuple, default=(10, 4): Matplotlib figure size.
normalizebool, default=False: Normalize audio to [-1, 1] range before plotting.

Raises:

ValueError: If data is not 1D or 2D array.

Parameters:

data (ndarray)
sample_rate (int | None)
normalize (bool)
title (str)

Notes

Mono: plotted directly.
Stereo or more: plots each channel in the same figure.

Examples

>>> t = np.linspace(0, 1, 44100)
>>> data = 0.5 * np.sin(2 * np.pi * 440 * t)
>>> plot_waveform(data, sample_rate=44100, title="440Hz Sine Wave")

>>> from scikitplot import doremi

Sample Sheet:

>>> doremi.SHEET

'\n# Format: NoteOctave-Duration\n# NoteOctave: Musical note + octave number (e.g., G4 means G in the 4th octave)\n# Duration: Length of the note (relative)\n#   1   = quarter note\n#  0.5  = eighth note\n#   2   = half note\n#\n# Happy Birthday Melody — Western notation with lyrics:\n\nG4-0.5    -  G4-0.25   -  A4-0.5    -  G4-0.5    -  C5-0.5    -  B4-1\n# "Happy"    "birth-"   "day"     "to"     "you"\n\nG4-0.5    -  G4-0.25   -  A4-0.5    -  G4-0.5    -  D5-0.5    -  C5-1\n# "Happy"    "birth-"   "day"     "to"     "you"\n\nG4-0.5    -  G4-0.25   -  G5-0.5    -  E5-0.5    -  C5-0.5    -  B4-0.5    -  A4-1\n# "Happy"    "birth-"   "day"     "dear"    "[Name]"\n\nF5-0.5    -  F5-0.25   -  E5-0.5    -  C5-0.5    -  D5-0.5    -  C5-1\n# "Happy"    "birth-"   "day"     "to"     "you"\n'

Compose as Waveform:

>>> music = doremi.compose_as_waveform(doremi.SHEET, envelope="hann")

Play waveform:

>>> doremi.play_waveform(music)

{'status': 'success',
 'backend': 'jupyter',
 'blocking': True,
 'error': None,
 'source': 'music'}

Plot waveform:

>>> doremi.plot_waveform(music)

Save waveform:

>>> # doremi.save_waveform(music)

plot_waveform#

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