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librosa.display.LogHzFormatter

class librosa.display.LogHzFormatter(major=True)

Ticker formatter for logarithmic frequency

Parameters

majorbool

If True, ticks are always labeled.

If False, ticks are only labeled if the span is less than 2 octaves

See also

NoteFormatter

matplotlib.ticker.Formatter

Examples

>>> import matplotlib.pyplot as plt
>>> values = librosa.midi_to_hz(np.arange(48, 72))
>>> plt.figure()
>>> ax1 = plt.subplot(2,1,1)
>>> ax1.bar(np.arange(len(values)), values)
>>> ax1.yaxis.set_major_formatter(librosa.display.LogHzFormatter())
>>> ax1.set_ylabel('Hz')
>>> ax2 = plt.subplot(2,1,2)
>>> ax2.bar(np.arange(len(values)), values)
>>> ax2.yaxis.set_major_formatter(librosa.display.NoteFormatter())
>>> ax2.set_ylabel('Note')
>>> plt.show()

__init__(major=True)

Methods

__init__([major])
create_dummy_axis(**kwargs)
fix_minus(s)	Some classes may want to replace a hyphen for minus with the proper unicode symbol (U+2212) for typographical correctness. This is a helper method to perform such a replacement when it is enabled via :rc:`axes.unicode_minus`.
format_data(value)	Return the full string representation of the value with the position unspecified.
format_data_short(value)	Return a short string version of the tick value.
format_ticks(values)	Return the tick labels for all the ticks at once.
get_offset()
set_axis(axis)
set_bounds(vmin, vmax)
set_data_interval(vmin, vmax)
set_locs(locs)	Set the locations of the ticks.
set_view_interval(vmin, vmax)

Attributes

axis
locs