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NotesParametersReturnsBackRef
csd(x, y, fs=1.0, window='hann', nperseg=None, noverlap=None, nfft=None, detrend='constant', return_onesided=True, scaling='density', axis=-1, average='mean')

Notes

Parameters

x : array_like
y : array_like
fs : float, optional
window : str or tuple or array_like, optional
nperseg : int, optional
noverlap: int, optional :
nfft : int, optional
detrend : str or function or `False`, optional
return_onesided : bool, optional
scaling : { 'density', 'spectrum' }, optional
axis : int, optional
average : { 'mean', 'median' }, optional

Returns

f : ndarray
Pxy : ndarray

See Also

coherence

lombscargle

periodogram

welch

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.signal._spectral_py:lombscargle scipy.signal._spectral_py:stft scipy.signal._spectral_py:coherence scipy.signal._spectral_py:spectrogram

Local connectivity graph

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SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/signal/_spectral_py.py#463
type: <class 'function'>
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