Method plot

hypertools/datageometry.py:146–190

Plot the data Parameters ---------- data : numpy array, pandas dataframe or list of arrays/dfs The data to plot. If no data is passed, the xform_data from the DataGeometry object will be returned. kwargs : keyword arguments

(self, data=None, **kwargs)

    # a function to plot the data
    def plot(self, data=None, **kwargs):
        """
        Plot the data

        Parameters
        ----------
        data : numpy array, pandas dataframe or list of arrays/dfs
            The data to plot.  If no data is passed, the xform_data from
            the DataGeometry object will be returned.

        kwargs : keyword arguments
            Any keyword arguments supported by `hypertools.plot` are also supported
            by this method

        Returns
        ----------
        geo : hypertools.DataGeometry
            A new data geometry object

        """

        # import plot here to avoid circular imports
        from .plot.plot import plot as plotter

        if data is None:
            d = copy.copy(self.data)
            transform = copy.copy(self.xform_data)
            if any([k in kwargs for k in ['reduce', 'align', 'normalize',
                                          'semantic', 'vectorizer', 'corpus']]):
                d = copy.copy(self.data)
                transform = None
        else:
            d = data
            transform = None

        # get kwargs and update with new kwargs
        new_kwargs = copy.copy(self.kwargs)
        update_kwargs = dict(transform=transform, reduce=self.reduce,
                       align=self.align, normalize=self.normalize,
                       semantic=self.semantic, vectorizer=self.vectorizer,
                       corpus=self.corpus)
        new_kwargs.update(update_kwargs)
        for key in kwargs:
            new_kwargs.update({key : kwargs[key]})
        return plotter(d, **new_kwargs)

    def save(self, fname, compression=None):
        """