aspen.visualizations.spectrogram_visualizer¶

Visualize a spectrogram

Classes

SpectrogramVisualizer([…])

Visualize spectrogram

class aspen.visualizations.spectrogram_visualizer.SpectrogramVisualizer(spectrogram_visualizer_scale='default', spectrogram_visualizer_vmax=None, spectrogram_visualizer_vmin=None, spectrogram_visualizer_cmap='viridis', visualization_spectral_limit='0', visualization_labels=True, samp_freq=16000)[source]¶

Bases: aspen.interfaces.abs_common_interface.AbsCommonInterface, aspen.interfaces.abs_visualization_interface.AbsVisualizationInterface

Visualize spectrogram

Parameters

spectrogram_visualizer_scale¶ (str) – Same value of scale augment of specgram in matplotlib. (Ref: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.specgram.html) Defaults to default.
spectrogram_visualizer_vmax¶ (Optional[float]) – Same value of vmax augment of specgram in matplotlib.
spectrogram_visualizer_vmin¶ (Optional[float]) – Same value of vmin augment of specgram in matplotlib.
spectrogram_visualizer_cmap¶ (str) – Colormap. Defaults to viridis.
visualization_spectral_limit¶ (str) – The limitation of spectral axis in Hz (e.g. 100_1000)
visualization_labels¶ (bool) – The flag to add labels (title, xlabel, ylabel). Defaults to “0” (= do nothing).
samp_freq¶ (int) – Sampling frequency. Defaults to 16000.

__call__(fig, ax, sample)[source]¶: Call self as a function.

static add_arguments(parser)[source]¶: add arguments

classmethod load_class_kwargs(args)¶

Return the kwargs dict for class __init__ from parsed arguments

Parameters: args¶ (Namespace) – (config)argparse arguments
Return type: dict
Returns: kwargs for class __init__

plotsize()[source]¶: return plotter figure size [width, height]

title()[source]¶: return title of figure