Unified · Split
| @@ -8,8 +8,56 @@ from .midiconv import * · 7 unmodified lines | |||
| 8 | from .slicing import * | 8 | from .slicing import * |
| 9 | 9 | ||
| 10 | class fvec(numpy.ndarray): | 10 | class fvec(numpy.ndarray): |
| 11 | """a numpy vector holding audio samples""" | 11 | """fvec(input_arg=1024, **kwargs) |
| 12 | A vector holding float samples. | ||
| 12 | 13 | ||
| 14 | If `input_arg` is an `int`, a 1-dimensional vector of length `input_arg` | ||
| 15 | will be created and filled with zeros. Otherwise, if `input_arg` is an | ||
| 16 | `array_like` object, it will be converted to a 1-dimensional vector of | ||
| 17 | type :data:`float_type`. | ||
| 18 | |||
| 19 | Parameters | ||
| 20 | ---------- | ||
| 21 | input_arg : `int` or `array_like` | ||
| 22 | Can be a positive integer, or any object that can be converted to | ||
| 23 | a numpy array with :func:`numpy.array`. | ||
| 24 | **kwargs | ||
| 25 | Additional keyword arguments passed to :func:`numpy.zeros`, if | ||
| 26 | `input_arg` is an integer, or to :func:`numpy.array`. Should not | ||
| 27 | include `dtype`, which is already specified as | ||
| 28 | :data:`aubio.float_type`. | ||
| 29 | |||
| 30 | Returns | ||
| 31 | ------- | ||
| 32 | numpy.ndarray | ||
| 33 | Array of shape `(length,)`. | ||
| 34 | |||
| 35 | Examples | ||
| 36 | -------- | ||
| 37 | >>> aubio.fvec(10) | ||
| 38 | array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32) | ||
| 39 | >>> aubio.fvec([0,1,2]) | ||
| 40 | array([0., 1., 2.], dtype=float32) | ||
| 41 | >>> a = np.arange(10); type(a), type(aubio.fvec(a)) | ||
| 42 | (<class 'numpy.ndarray'>, <class 'numpy.ndarray'>) | ||
| 43 | >>> a.dtype, aubio.fvec(a).dtype | ||
| 44 | (dtype('int64'), dtype('float32')) | ||
| 45 | |||
| 46 | Notes | ||
| 47 | ----- | ||
| 48 | |||
| 49 | In the Python world, `fvec` is simply a subclass of | ||
| 50 | :class:`numpy.ndarray`. In practice, any 1-dimensional `numpy.ndarray` of | ||
| 51 | `dtype` :data:`float_type` may be passed to methods accepting | ||
| 52 | `fvec` as parameter. For instance, `sink()` or `pvoc()`. | ||
| 53 | |||
| 54 | See Also | ||
| 55 | -------- | ||
| 56 | cvec : a container holding spectral data | ||
| 57 | numpy.ndarray : parent class of :class:`fvec` | ||
| 58 | numpy.zeros : create a numpy array filled with zeros | ||
| 59 | numpy.array : create a numpy array from an existing object | ||
| 60 | """ | ||
| 13 | def __new__(cls, input_arg=1024, **kwargs): | 61 | def __new__(cls, input_arg=1024, **kwargs): |
| 14 | if isinstance(input_arg, int): | 62 | if isinstance(input_arg, int): |
| 15 | if input_arg == 0: | 63 | if input_arg == 0: |