psiaudio.pipeline module
- class PipelineData(arr, fs, s0=0, channel=None, metadata=None)
Bases:
ndarray- mean(axis=None, dtype=None, out=None, keepdims=False, *, where=True)
Returns the average of the array elements along given axis.
Refer to numpy.mean for full documentation.
See also
numpy.meanequivalent function
- property n_channels
- property n_time
- accumulate(*args, **kwargs)
- average(*args, **kwargs)
- blocked(*args, **kwargs)
- broadcast(*args, **kwargs)
- capture(*args, **kwargs)
- capture_epoch(*args, **kwargs)
- concat(arrays, axis=- 1)
- coroutine(func)
Decorator to auto-start a coroutine.
- decimate(*args, **kwargs)
- delay(*args, **kwargs)
- detrend(*args, **kwargs)
- dim_axis(axis)
- discard(*args, **kwargs)
- downsample(*args, **kwargs)
- edges(*args, **kwargs)
- ensure_dim(arrays, dim)
- events_to_info(*args, **kwargs)
- extract_epochs(*args, **kwargs)
- iirfilter(*args, **kwargs)
- mc_reference(*args, **kwargs)
- mc_select(*args, **kwargs)
- normalize_index(index, ndim)
Expands an index into the same dimensionality as the array
- Parameters
index ({Ellipsis, None, slice, tuple}) – Index to normalize
ndim (int) – The dimension of the object that is being indexed
- Returns
norm_index – The expanded index.
- Return type
tuple
- reject_epochs(*args, **kwargs)
- rms(*args, **kwargs)
- transform(*args, **kwargs)