def csd_spectrogram(self, other, stride, fftlength=None, overlap=0,
                        window='hann', nproc=1, **kwargs):
        """Calculate the cross spectral density spectrogram of this
           `TimeSeries` with 'other'.

        Parameters
        ----------
        other : `~gwpy.timeseries.TimeSeries`
            second time-series for cross spectral density calculation

        stride : `float`
            number of seconds in single PSD (column of spectrogram).

        fftlength : `float`
            number of seconds in single FFT.

        overlap : `float`, optional
            number of seconds of overlap between FFTs, defaults to the
            recommended overlap for the given window (if given), or 0

        window : `str`, `numpy.ndarray`, optional
            window function to apply to timeseries prior to FFT,
            see :func:`scipy.signal.get_window` for details on acceptable
            formats

        nproc : `int`
            maximum number of independent frame reading processes, default
            is set to single-process file reading.

        Returns
        -------
        spectrogram : `~gwpy.spectrogram.Spectrogram`
            time-frequency cross spectrogram as generated from the
            two input time-series.
        """
        return spectral.average_spectrogram(
            (self, other),
            spectral.csd,
            stride,
            fftlength=fftlength,
            overlap=overlap,
            window=window,
            nproc=nproc,
            **kwargs
        )
def csd_spectrogram ( self , other , stride , fftlength = None , overlap = 0 , window = 'hann' , nproc = 1 , ** kwargs ) : return spectral . average_spectrogram ( ( self , other ) , spectral . csd , stride , fftlength = fftlength , overlap = overlap , window = window , nproc = nproc , ** kwargs )
Calculate the cross spectral density spectrogram of this
           `TimeSeries` with 'other'.

        Parameters
        ----------
        other : `~gwpy.timeseries.TimeSeries`
            second time-series for cross spectral density calculation

        stride : `float`
            number of seconds in single PSD (column of spectrogram).

        fftlength : `float`
            number of seconds in single FFT.

        overlap : `float`, optional
            number of seconds of overlap between FFTs, defaults to the
            recommended overlap for the given window (if given), or 0

        window : `str`, `numpy.ndarray`, optional
            window function to apply to timeseries prior to FFT,
            see :func:`scipy.signal.get_window` for details on acceptable
            formats

        nproc : `int`
            maximum number of independent frame reading processes, default
            is set to single-process file reading.

        Returns
        -------
        spectrogram : `~gwpy.spectrogram.Spectrogram`
            time-frequency cross spectrogram as generated from the
            two input time-series.