def send_report(self): if self.data is None: return def name(var): return var and var.name caption = report.render_items_vert( ( ("Color", name(self.graph.attr_color)), ("Label", name(self.graph.attr_label)), ("Shape", name(self.graph.attr_shape)), ("Size", name(self.graph.attr_size)), ( "Jittering", ( self.attr_x.is_discrete or self.attr_y.is_discrete or self.graph.jitter_continuous ) and self.graph.jitter_size, ), ) ) self.report_plot() if caption: self.report_caption(caption)
def send_report(self): if self.data is None: return def name(var): return var and var.name def projection_name(): name = ( "Circular Placement", "Linear Discriminant Analysis", "Principal Component Analysis", "Input projection", ) return name[self.placement] caption = report.render_items_vert(( ("Projection", projection_name()), ("Color", name(self.graph.attr_color)), ("Label", name(self.graph.attr_label)), ("Shape", name(self.graph.attr_shape)), ("Size", name(self.graph.attr_size)), ( "Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size), ), )) self.report_plot() if caption: self.report_caption(caption)
def _get_send_report_caption(self): return report.render_items_vert( (("Color", self._get_caption_var_name(self.attr_color)), ("Label", self._get_caption_var_name(self.attr_label)), ("Shape", self._get_caption_var_name(self.attr_shape)), ("Size", self._get_caption_var_name(self.attr_size)), ("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size))))
def _get_send_report_caption(self): return report.render_items_vert(( ("Color", self._get_caption_var_name(self.attr_color)), ("Label", self._get_caption_var_name(self.attr_label)), ("Shape", self._get_caption_var_name(self.attr_shape)), ("Size", self._get_caption_var_name(self.attr_size)), ("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size))))
def send_report(self): if self.data is None: return caption = report.render_items_vert((("Group by", self.group_var),)) self.report_plot() if caption: self.report_caption(caption)
def _get_send_report_caption(self): return report.render_items_vert( (("Color", self._get_caption_var_name(self.attr_color)), ("Label", self._get_caption_var_name(self.attr_label)), ("Shape", self._get_caption_var_name(self.attr_shape)), ("Size", self._get_caption_var_name(self.attr_size)), ("Jittering", (self.attr_x.is_discrete or self.attr_y.is_discrete or self.graph.jitter_continuous) and self.graph.jitter_size)))
def send_report(self): if self.selected is None: return self.report_plot() self.report_caption(report.render_items_vert(( ("Number of genes", self.n_genes), ("a", round(self.decay, 2)), ("b", round(self.x_offset, 2)), ("a", round(self.y_offset, 2)))))
def _get_send_report_caption(self): color_vr_name = "Clusters" if self.color_by_cluster else \ self._get_caption_var_name(self.attr_color) return report.render_items_vert(( ("Color", color_vr_name), ("Label", self._get_caption_var_name(self.attr_label)), ("Shape", self._get_caption_var_name(self.attr_shape)), ("Size", self._get_caption_var_name(self.attr_size)), ("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size)), ))
def send_report(self): self.report_plot() caption = report.render_items_vert(( ("Scoring method", self.Scores[self.score_index][0]), ("Upper treshold", self.max_value), ("Lower threshold", self.min_value), ("Compute null distribution", self.compute_null), ("Permutations", self.permutations_count), ("α-value", self.alpha_value), ("Best Ranked", self.n_best), )) self.report_caption(caption) self.report_caption(self.selectedInfoLabel.text())
def send_report(self): if self.data is None: return def name(var): return var and var.name caption = report.render_items_vert(( ("Color", name(self.graph.attr_color)), ("Label", name(self.graph.attr_label)), ("Shape", name(self.graph.attr_shape)), ("Size", name(self.graph.attr_size)), ("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size)))) self.report_plot() if caption: self.report_caption(caption)
def send_report(self): if self.data is None: return def name(var): return var and var.name caption = report.render_items_vert( (("Color", name(self.attr_color)), ("Label", name(self.attr_label)), ("Shape", name(self.attr_shape)), ("Size", name(self.attr_size)), ("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size)))) self.report_plot() if caption: self.report_caption(caption)
def _get_send_report_caption(self): def projection_name(): return self.Projection_name[self.placement] return report.render_items_vert(( ("Projection", projection_name()), ("Color", self._get_caption_var_name(self.attr_color)), ("Label", self._get_caption_var_name(self.attr_label)), ("Shape", self._get_caption_var_name(self.attr_shape)), ("Size", self._get_caption_var_name(self.attr_size)), ( "Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size), ), ))
def send_report(self): if self.data is None: return def name(var): return var and var.name caption = report.render_items_vert(( ("Color", name(self.graph.attr_color)), ("Label", name(self.graph.attr_label)), ("Shape", name(self.graph.attr_shape)), ("Size", name(self.graph.attr_size)), ("Jittering", (self.attr_x.is_discrete or self.attr_y.is_discrete or self.graph.jitter_continuous) and self.graph.jitter_size))) self.report_plot() if caption: self.report_caption(caption)
def send_report(self): if self.data is None: return def name(var): return var and var.name def projection_name(): name = ("Circular Placement", "Linear Discriminant Analysis", "Principal Component Analysis", "Input projection") return name[self.placement] caption = report.render_items_vert(( ("Projection", projection_name()), ("Color", name(self.graph.attr_color)), ("Label", name(self.graph.attr_label)), ("Shape", name(self.graph.attr_shape)), ("Size", name(self.graph.attr_size)), ("Jittering", self.graph.jitter_size != 0 and "{} %".format(self.graph.jitter_size)))) self.report_plot() if caption: self.report_caption(caption)