latools/latools.py
def histograms(self, analytes=None, bins=25, logy=False,
                   filt=False, colourful=True):
        """
        Plot histograms of analytes.

        Parameters
        ----------
        analytes : optional, array_like or str
            The analyte(s) to plot. Defaults to all analytes.
        bins : int
            The number of bins in each histogram (default = 25)
        logy : bool
            If true, y axis is a log scale.
        filt : str, dict or bool
            Either logical filter expression contained in a str,
            a dict of expressions specifying the filter string to
            use for each analyte or a boolean. Passed to `grab_filt`.
        colourful : bool
            If True, histograms are colourful :)

        Returns
        -------
        (fig, axes)
        """
        if analytes is None:
            analytes = self.analytes
        if self.focus_stage in ['ratio', 'calibrated']:
            analytes = [a for a in analytes if self.internal_standard not in a]
        if colourful:
            cmap = self.cmaps
        else:
            cmap = None

        self.get_focus(filt=filt)
        fig, axes = plot.histograms(self.focus, keys=analytes,
                                    bins=bins, logy=logy, cmap=cmap)

        return fig, axes
def histograms(self, analytes=None, bins=25, logy=False,
                   filt=False, colourful=True):
        if analytes is None:
            analytes = self.analytes
        if self.focus_stage in ['ratio', 'calibrated']:
            analytes = [a for a in analytes if self.internal_standard not in a]
        if colourful:
            cmap = self.cmaps
        else:
            cmap = None

        self.get_focus(filt=filt)
        fig, axes = plot.histograms(self.focus, keys=analytes,
                                    bins=bins, logy=logy, cmap=cmap)

        return fig, axes
def histograms ( self , analytes = None , bins = 25 , logy = False , filt = False , colourful = True ) : if analytes is None : analytes = self . analytes if self . focus_stage in [ 'ratio' , 'calibrated' ] : analytes = [ a for a in analytes if self . internal_standard not in a ] if colourful : cmap = self . cmaps else : cmap = None self . get_focus ( filt = filt ) fig , axes = plot . histograms ( self . focus , keys = analytes , bins = bins , logy = logy , cmap = cmap ) return fig , axes
Plot histograms of analytes.

        Parameters
        ----------
        analytes : optional, array_like or str
            The analyte(s) to plot. Defaults to all analytes.
        bins : int
            The number of bins in each histogram (default = 25)
        logy : bool
            If true, y axis is a log scale.
        filt : str, dict or bool
            Either logical filter expression contained in a str,
            a dict of expressions specifying the filter string to
            use for each analyte or a boolean. Passed to `grab_filt`.
        colourful : bool
            If True, histograms are colourful :)

        Returns
        -------
        (fig, axes)
Plot histograms of analytes .