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