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import numpy as np import panel as pn pn.extension()
Audio pane displays an audio player given a local or remote audio file or a numpy array.
The pane also allows access and control over the player state including toggling of playing/
loop state, the current
time, and the
The audio player supports
wav files as well as Numpy arrays.
For layout and styling related parameters see the customization user guide.
name(str): The title of the pane
loop(boolean): Whether to loop when reaching the end of playback
object(string): Local file path or remote URL pointing to audio file
paused(boolean): Whether the player is paused
autoplay(boolean): When True, it specifies that the output will play automatically. In Chromium browsers this requires the user to click play once
muted(boolean): When True, it specifies that the output should be muted
throttle(int): How frequently to sample the current playback time in milliseconds
time(float): Current playback time in seconds
volume(int): Volume in the range 0-100
Audio pane can be constructed with a URL pointing to a remote audio file or a local audio file (in which case the data is embedded).
audio = pn.pane.Audio('http://ccrma.stanford.edu/~jos/mp3/pno-cs.mp3', name='Audio') audio
The player can be controlled using its own widgets, as well as by using Python code as follows. To pause or unpause it in code, use the
#audio.paused = False
The current player
time can be read and set with the time variable (in seconds):
volume may also be read and set:
audio.volume = 50
Alternatively, if SciPy is available, the Pane may also be constructed from a NumPy array containing int16 values and a
sample_rate, e.g. in this example we plot a frequency modulated signal:
sps = 44100 # Samples per second duration = 10 # Duration in seconds modulator_frequency = 2.0 carrier_frequency = 120.0 modulation_index = 2.0 time = np.arange(sps*duration) / sps modulator = np.sin(2.0 * np.pi * modulator_frequency * time) * modulation_index carrier = np.sin(2.0 * np.pi * carrier_frequency * time) waveform = np.sin(2. * np.pi * (carrier_frequency * time + modulator)) waveform_quiet = waveform * 0.3 waveform_int = np.int16(waveform_quiet * 32767) pn.pane.Audio(waveform_int, sample_rate=sps)