Waveform.from_numpy()

static Waveform.from_numpy(frame_rate_hz, arr)

Creates a Waveform from a two-dimensional NumPy float32 array.

This static method takes a two-dimensional NumPy array of the shape (frames, channels).

Example

>>> import numpy as np
>>> from babycat import Waveform
>>> frame = np.array([-1.0, 0.0, 1.0], dtype="float32")
>>> arr = np.stack([frame, frame])
>>> waveform = Waveform.from_numpy(
...     frame_rate_hz=44_100,
...     arr=arr,
... )
waveform
<babycat.Waveform: 2 frames, 3 channel, 44100 hz>
Parameters

  • frame_rate_hz (int) – The frame rate that applies to the waveform described by arr.

  • arr – A two-dimensional NumPy array with the channels dimension on axis 1.

Returns

A waveform with a copy of the waveform in arr.

Return type

Waveform

Raises

TypeError – Raised when arr is the wrong shape or dtype.