(self, X, y=None, sample=0, **plot_params)
return Xt
Fit to data, then apply :meth:`transform_plot`.

        Parameters
        ----------
        X : ndarray of shape (n_samples, ...)
            Input data.

        y : ndarray of shape (n_samples,) or None
            Target values for supervised problems.

        sample : int
            Sample to be plotted.

        **plot_params
            Optional plotting parameters.

        Returns
        -------
        Xt : ndarray of shape (1, ...)
            Transformed one-sample slice from the input.
Fit to data, then apply :meth:`transform_plot`.
Fit to data then apply : meth : transform_plot .
def fit_transform_plot(self, X, y=None, sample=0, **plot_params):
        """Fit to data, then apply :meth:`transform_plot`.

        Parameters
        ----------
        X : ndarray of shape (n_samples, ...)
            Input data.

        y : ndarray of shape (n_samples,) or None
            Target values for supervised problems.

        sample : int
            Sample to be plotted.

        **plot_params
            Optional plotting parameters.

        Returns
        -------
        Xt : ndarray of shape (1, ...)
            Transformed one-sample slice from the input.

        """
        self.fit(X, y)
        Xt = self.transform_plot(X, sample=sample, **plot_params)
        return Xt
def fit_transform_plot ( self , X , y = None , sample = 0 , * * plot_params ) : self . fit ( X , y ) Xt = self . transform_plot ( X , sample = sample , * * plot_params ) return Xt