SpectrogramList
Inherits from: PhaseMethodsMixin, UserList
List of Spectrogram objects. Reference: similar to TimeSeriesList but for 2D Spectrograms.
.. note::
Spectrogram objects can be very large in memory.
Use inplace=True where possible to avoid deep copies.
Methods
__init__
__init__(self, initlist=None)
Initialize self. See help(type(self)) for accurate signature.
(Inherited from PhaseMethodsMixin)
angle
angle(self, unwrap: bool = False, deg: bool = False, **kwargs: Any) -> Any
Alias for phase(unwrap=unwrap, deg=deg).
append
append(self, item)
S.append(value) – append value to the end of the sequence
(Inherited from MutableSequence)
bootstrap_asd
bootstrap_asd(self, *args, **kwargs)
Estimate robust ASD from each spectrogram in the list (returns FrequencySeriesList).
crop
crop(self, t0, t1, inplace=False)
Crop each spectrogram.
crop_frequencies
crop_frequencies(self, f0, f1, inplace=False)
Crop frequencies.
degree
degree(self, unwrap: 'bool' = False) -> "'SpectrogramList'"
Compute phase (in degrees) of each spectrogram.
extend
extend(self, other)
S.extend(iterable) – extend sequence by appending elements from the iterable
(Inherited from MutableSequence)
interpolate
interpolate(self, dt, df, inplace=False)
Interpolate each spectrogram.
phase
phase(self, unwrap: bool = False, deg: bool = False, **kwargs: Any) -> Any
Calculate the phase of the data.
Parameters
unwrap : bool, optional
If True, unwrap the phase to remove discontinuities.
Default is False.
deg : bool, optional
If True, return the phase in degrees.
Default is False (radians).
**kwargs
Additional arguments passed to the underlying calculation.
Returns
Series or Matrix or Collection
The phase of the data.
plot
plot(self, **kwargs)
Plot all spectrograms stacked vertically.
plot_summary
plot_summary(self, **kwargs)
Plot List as side-by-side Spectrograms and percentile summaries.
radian
radian(self, unwrap: 'bool' = False) -> "'SpectrogramList'"
Compute phase (in radians) of each spectrogram.
read
read(self, source, *args, **kwargs)
Read spectrograms into the list from HDF5.
rebin
rebin(self, dt, df, inplace=False)
Rebin each spectrogram.
to_cupy
to_cupy(self, *args, **kwargs) -> 'list'
Convert each item to cupy.ndarray. Returns a list.
to_dask
to_dask(self, *args, **kwargs) -> 'list'
Convert each item to dask.array. Returns a list.
to_jax
to_jax(self, *args, **kwargs) -> 'list'
Convert each item to jax.Array. Returns a list.
to_matrix
to_matrix(self)
Convert to SpectrogramMatrix (N, Time, Freq).
to_tensorflow
to_tensorflow(self, *args, **kwargs) -> 'list'
Convert each item to tensorflow.Tensor. Returns a list.
to_torch
to_torch(self, *args, **kwargs) -> 'list'
Convert each item to torch.Tensor. Returns a list.
write
write(self, target, *args, **kwargs)
Write list to file.
For HDF5 output you can choose a layout (default is GWpy-compatible dataset-per-entry).
sgl.write("out.h5", format="hdf5") # GWpy-compatible (default)
sgl.write("out.h5", format="hdf5", layout="group") # legacy group-per-entry
.. warning::
Never unpickle data from untrusted sources. pickle/shelve can execute
arbitrary code on load.
Pickle portability note: pickled gwexpy SpectrogramList unpickles as a built-in
list of GWpy Spectrogram (gwexpy not required on the loading side).