def _plot(cls, ax, y, style=None, bw_method=None, ind=None, column_num=None, stacking_id=None, **kwds): from scipy.stats import gaussian_kde y = remove_na_arraylike(y) gkde = gaussian_kde(y, bw_method=bw_method) y = gkde.evaluate(ind) lines = MPLPlot._plot(ax, ind, y, style=style, **kwds) return lines
def _plot(cls, ax, y, style=None, bw_method=None, ind=None, column_num=None, stacking_id=None, **kwds): y = KdePlotBase.compute_kde(y, bw_method=bw_method, ind=ind) lines = PandasMPLPlot._plot(ax, ind, y, style=style, **kwds) return lines
def _plot(cls, ax, y, style=None, bw_method=None, ind=None, column_num=None, stacking_id=None, **kwds): from scipy.stats import gaussian_kde y = remove_na_arraylike(y) gkde = gaussian_kde(y, bw_method=bw_method) y = gkde.evaluate(ind) lines = MPLPlot._plot(ax, ind, y, style=style, **kwds) return lines