latools/D_obj.py
def filter_report(self, filt=None, analytes=None, savedir=None, nbin=5):
        """
        Visualise effect of data filters.

        Parameters
        ----------
        filt : str
            Exact or partial name of filter to plot. Supports
            partial matching. i.e. if 'cluster' is specified, all
            filters with 'cluster' in the name will be plotted.
            Defaults to all filters.
        analyte : str
            Name of analyte to plot.
        save : str
            file path to save the plot

        Returns
        -------
        (fig, axes)
        """
        return plot.filter_report(self, filt, analytes, savedir, nbin)
def filter_report(self, filt=None, analytes=None, savedir=None, nbin=5):
        """
        Visualise effect of data filters.

        Parameters
        ----------
        filt : str
            Exact or partial name of filter to plot. Supports
            partial matching. i.e. if 'cluster' is specified, all
            filters with 'cluster' in the name will be plotted.
            Defaults to all filters.
        analyte : str
            Name of analyte to plot.
        save : str
            file path to save the plot

        Returns
        -------
        (fig, axes)
        """
        return plot.filter_report(self, filt, analytes, savedir, nbin)
Visualise effect of data filters.

        Parameters
        ----------
        filt : str
            Exact or partial name of filter to plot. Supports
            partial matching. i.e. if 'cluster' is specified, all
            filters with 'cluster' in the name will be plotted.
            Defaults to all filters.
        analyte : str
            Name of analyte to plot.
        save : str
            file path to save the plot

        Returns
        -------
        (fig, axes)