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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 detrend(self, type='linear'):
 """ Remove linear trend from the data Remove a linear trend from the data to improve the approximation that the data is circularly convolved, this helps reduce the size of filter transients from a circular convolution / filter. Parameters type: str The choice of detrending. The default ('linear') removes a linear least squares fit. 'constant' removes only the mean of the data. """

        from scipy.signal import detrend
        return self._return(detrend(self.numpy(), type=type))