def apply_properties(self):
props = self.view.get_properties()
# if only one colorbar apply settings to all images
if len(get_colorbars_from_fig(self.fig)) == 1:
# flatten the values into one list
images = sum(self.image_names_dict.values(), [])
else:
images = self.get_selected_image()
for image in images:
if image.colorbar:
image.colorbar.set_label(props.label)
image.set_cmap(props.colormap)
if props.interpolation and not (isinstance(
image, QuadMesh) or isinstance(image, Poly3DCollection)):
image.set_interpolation(props.interpolation)
update_colorbar_scale(self.fig, image, SCALES[props.scale],
props.vmin, props.vmax)
if props.vmin > props.vmax:
self.view.max_min_value_warning.setVisible(True)
self.view.max_min_value_warning.setText(
"<html> <head/> <body> <p> <span style=\"color:#ff0000;\">Max "
"value is less than min value so they have been "
"swapped.</span></p></body></html>")
elif props.vmin == props.vmax:
self.view.max_min_value_warning.setVisible(True)
self.view.max_min_value_warning.setText(
"<html><head/><body><p><span style=\"color:#ff0000;\">Min and max "
"value are the same so they have been "
"adjusted.</span></p></body></html>")
else:
self.view.max_min_value_warning.setVisible(False)
def apply_properties(self):
props = self.view.get_properties()
image = self.get_selected_image()
self.set_selected_image_label(props.label)
image.set_cmap(props.colormap)
if props.interpolation:
image.set_interpolation(props.interpolation)
update_colorbar_scale(self.fig, image, SCALES[props.scale], props.vmin,
props.vmax)
if props.vmin > props.vmax:
self.view.max_min_value_warning.setVisible(True)
self.view.max_min_value_warning.setText(
"<html> <head/> <body> <p> <span style=\"color:#ff0000;\">Max "
"value is less than min value so they have been "
"swapped.</span></p></body></html>")
elif props.vmin == props.vmax:
self.view.max_min_value_warning.setVisible(True)
self.view.max_min_value_warning.setText(
"<html><head/><body><p><span style=\"color:#ff0000;\">Min and max "
"value are the same so they have been "
"adjusted.</span></p></body></html>")
else:
self.view.max_min_value_warning.setVisible(False)
def changes_accepted(self):
super(ColorbarAxisEditor, self).changes_accepted()
scale = Normalize
if isinstance(self.images[0].norm, LogNorm):
scale = LogNorm
update_colorbar_scale(self.canvas.figure, self.images[0], scale,
self.limit_min, self.limit_max)
def _change_colorbar_axes(self, scale_type):
for ax in self.canvas.figure.get_axes():
images = ax.get_images() + [col for col in ax.collections if isinstance(col, Collection)]
for image in images:
if image.norm.vmin is not None and image.norm.vmax is not None:
datafunctions.update_colorbar_scale(self.canvas.figure, image, scale_type, image.norm.vmin,
image.norm.vmax)
self.canvas.draw_idle()
def changes_accepted(self):
self.ui.errors.hide()
limit_min, limit_max = float(self.ui.editor_min.text()), float(self.ui.editor_max.text())
scale = Normalize
if isinstance(self.images[0].norm, LogNorm):
scale = LogNorm
if scale == LogNorm and (limit_min <= 0 or limit_max <= 0):
raise ValueError("Limits must be positive\nwhen scale is logarithmic.")
self.lim_setter(limit_min, limit_max)
update_colorbar_scale(self.canvas.figure, self.images[0], scale, limit_min, limit_max)
def changes_accepted(self):
self.ui.errors.hide()
if len(self.images) == 0:
raise RuntimeError("Cannot find any plot linked to this colorbar")
limit_min, limit_max = float(self.ui.editor_min.text()), float(self.ui.editor_max.text())
scale = LogNorm if self.ui.logBox.isChecked() else Normalize
if scale == LogNorm and (limit_min <= 0 or limit_max <= 0):
raise ValueError("Limits must be positive\nwhen scale is logarithmic.")
self.lim_setter(limit_min, limit_max)
for img in self.images:
update_colorbar_scale(self.canvas.figure, img, scale, limit_min, limit_max)