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 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)
