def _show_plot(self, data):
cd = dict(padding=5, stack_order="top_to_bottom")
csnames = self.column_names
xmin = np.Inf
xmax = -np.Inf
if self.as_series:
g = RegressionGraph(container_dict=cd)
p = g.new_plot(padding=[50, 5, 5, 50], xtitle="")
p.value_range.tight_bounds = False
p.value_range.margin = 0.1
else:
g = StackedRegressionGraph(container_dict=cd)
regressable = False
# metadata = None
for i, csi in enumerate(self.data_selectors):
if not self.as_series:
p = g.new_plot(padding=[50, 5, 5, 50])
p.value_range.tight_bounds = False
p.value_range.margin = 0.1
plotid = i
else:
plotid = 0
try:
x = data[csnames.index(csi.index)]
y = data[csnames.index(csi.value)]
xmin = min(xmin, min(x))
xmax = max(xmax, max(x))
fit = csi.fit if csi.fit != NULL_STR else None
g.new_series(x, y, fit=fit, filter_outliers=csi.use_filter, type=csi.plot_type, plotid=plotid)
g.set_x_title(csi.index, plotid=plotid)
g.set_y_title(csi.value, plotid=plotid)
if fit:
regressable = True
except IndexError:
pass
g.set_x_limits(xmin, xmax, pad="0.1")
self._graph_count += 1
if regressable:
gg = StatsGraph(graph=g)
gii = gg
else:
gii = g
g._update_graph()
def show(gi):
gi.window_title = "{} Graph {}".format(self.short_name, self._graph_count)
gi.window_x = self._graph_count * 20 + 400
gi.window_y = self._graph_count * 20 + 20
gi.edit_traits()
show(gii)
def _show_plot(self, data):
cd = dict(padding=5, stack_order='top_to_bottom')
csnames = self.column_names
xmin = np.Inf
xmax = -np.Inf
if self.as_series:
g = RegressionGraph(container_dict=cd)
p = g.new_plot(padding=[50, 5, 5, 50],
xtitle=''
)
p.value_range.tight_bounds = False
p.value_range.margin = 0.1
else:
g = StackedRegressionGraph(container_dict=cd)
regressable = False
# metadata = None
for i, csi in enumerate(self.data_selectors):
if not self.as_series:
p = g.new_plot(padding=[50, 5, 5, 50])
p.value_range.tight_bounds = False
p.value_range.margin = 0.1
plotid = i
else:
plotid = 0
try:
x = data[csnames.index(csi.index)]
y = data[csnames.index(csi.value)]
xmin = min(xmin, min(x))
xmax = max(xmax, max(x))
fit = csi.fit if csi.fit != NULL_STR else None
g.new_series(x, y, fit=fit,
filter_outliers=csi.use_filter,
type=csi.plot_type,
plotid=plotid)
g.set_x_title(csi.index, plotid=plotid)
g.set_y_title(csi.value, plotid=plotid)
if fit:
regressable = True
except IndexError:
pass
g.set_x_limits(xmin, xmax, pad='0.1')
self._graph_count += 1
if regressable:
gg = StatsGraph(graph=g)
gii = gg
else:
gii = g
g._update_graph()
def show(gi):
gi.window_title = '{} Graph {}'.format(self.short_name, self._graph_count)
gi.window_x = self._graph_count * 20 + 400
gi.window_y = self._graph_count * 20 + 20
gi.edit_traits()
show(gii)
