58b309931088fa130e5320ca2850a7b1fc5ad7f2,yellowbrick/features/base.py,DataVisualizer,fit,#DataVisualizer#Any#Any#,150

Before Change

        if self.features_ is None:

            // If X is a data frame, get the columns off it.
            if is_dataframe(X):
                self.features_ = X.columns

            // Otherwise create numeric labels for each column.
            else:
                self.features_ = [
                    str(cdx) for cdx in range(ncols)
                ]

        // Draw the instances
        self.draw(X, y, **kwargs)

        // Fit always returns self.
        return self

After Change

        self : instance
            Returns the instance of the transformer/visualizer
        
        super(DataVisualizer, self).fit(X, y, **kwargs)

        // Store the classes for the legend if they"re None.
        if self.classes_ is None:

Instances