Caution

You're reading the documentation for a development version. For the latest released version, please have a look at 0.11.0.

Display

Data visualization

specshow(data, *[, x_coords, y_coords, ...])	Display a spectrogram/chromagram/cqt/etc.
waveshow(y, *[, sr, max_points, axis, ...])	Visualize a waveform in the time domain.
wavebars(y, *[, sr, n_bars, gap_ratio, ...])	Visualize a waveform as a series of bars representing the amplitude envelope.
wavef0(y, *, f0[, sr, hop_length, ...])	Visualize a waveform with an f0-displacement.
multiplot(func, *data[, axes, fig, orient, ...])	Visualize multiple related waveforms or spectrograms on an array of subplots.
colorbar_db(im, *[, ax, fig, format])	Attach a colorbar to an image representing decibel-scaled data.
colorbar_phase(im, *[, numticks, ax, fig])	Attach a colorbar to an image representing phase data in radians.
highlight(*[, artist, ax, color, ...])	Apply a contrasting highlight effect to a matplotlib artist.
legend_for_axes([axes, fig])	Create a figure-level legend for a collection of axes.

Axis formatting

TimeFormatter([lag, unit])	A tick formatter for time axes.
NoteFormatter([octave, major, key, unicode])	Ticker formatter for Notes
SvaraFormatter(Sa[, octave, major, abbr, ...])	Ticker formatter for Svara
FJSFormatter(*, fmin, n_bins, ...[, major, ...])	Ticker formatter for Functional Just System (FJS) notation
LogHzFormatter([major])	Ticker formatter for logarithmic frequency
ChromaFormatter([key, unicode])	A formatter for chroma axes
ChromaSvaraFormatter([Sa, mela, abbr, unicode])	A formatter for chroma axes with svara instead of notes.
ChromaFJSFormatter(*, intervals[, unison, ...])	A formatter for chroma axes with functional just notation
TonnetzFormatter()	A formatter for tonnetz axes

Miscellaneous

infer_cmap(data, *[, robust, cmap_seq, ...])	Get a default colormap from the given data.
AdaptiveWaveplot(times, y, steps, envelope)	A helper class for managing adaptive wave visualizations.
Transformf0(f0, *[, sr, hop_length, ...])	A utility class to handle f0-displacement for waveform visualizations.