def _make_correlation(self, idx, ytitle):
fi = self.figures[0]
plots = list(fi.options.get_plotable_aux_plots())
tag = plots[idx].plot_name
n = len(self.figures)
r, c = filled_grid(n)
g = RegressionGraph(container_dict={
'kind': 'g',
'shape': (r, c)
},
window_title='Correlation')
for i, fi in enumerate(self.figures):
gi = fi.analysis_group
p = g.new_plot(xtitle='age',
ytitle=ytitle,
title='{}({})'.format(gi.sample, gi.identifier))
xs = [nominal_value(a.uage) for a in gi.clean_analyses()]
ys = [nominal_value(a.get_value(tag)) for a in gi.clean_analyses()]
g.new_series(xs,
ys,
fit='linear',
use_error_envelope=False,
plotid=i)
g.add_correlation_statistics(plotid=i)
g.set_x_limits(pad='0.1', plotid=i)
g.set_y_limits(pad='0.1', plotid=i)
g.refresh()
open_view(g)
def _make_correlation(self, refplot, xtitle):
fi = self.figures[0]
n = len(list(fi.options.get_plotable_aux_plots()))
plots = list(reversed(fi.graph.plots))
xs = refplot.data.get_data('y1')
r, c = filled_grid(n - 1)
g = RegressionGraph(container_dict={
'kind': 'g',
'shape': (r, c)
},
window_title='Correlation')
i = 0
for pp in plots:
ytitle = pp.y_axis.title
if ytitle == xtitle:
continue
g.new_plot(xtitle=xtitle, ytitle=ytitle, padding=[80, 10, 10, 40])
ys = pp.data.get_data('y1')
g.new_series(xs,
ys,
fit='linear',
use_error_envelope=False,
plotid=i)
g.add_correlation_statistics(plotid=i)
g.set_x_limits(pad='0.1', plotid=i)
g.set_y_limits(pad='0.1', plotid=i)
i += 1
g.refresh()
open_view(g)
