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)