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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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
        )