def contextual_menu_contents(self):
"""
"""
save_actions = []
for n, f, kw in self.get_contextual_menu_save_actions():
save_actions.append(self.action_factory(n, f, **kw))
save_menu = MenuManager(name='Save Figure', *save_actions)
# if not self.crosshairs_enabled:
# crosshairs_action = self.action_factory('Show Crosshairs',
# 'show_crosshairs'
# )
# else:
# crosshairs_action = self.action_factory('Hide Crosshairs',
# 'destroy_crosshairs')
#
export_actions = [
self.action_factory('CSV', 'export_data'),
]
#self.action_factory('All', 'export_raw_data'),]
export_menu = MenuManager(name='Export', *export_actions)
contents = [save_menu, export_menu]
c = self.get_child_context_menu_actions()
if c:
contents.extend(c)
# if self.editor_enabled:
# pa = self.action_factory('Show Plot Editor', 'show_plot_editor')
# pa.enabled = self.selected_plot is not None
# contents += [pa]
# contents += [self.action_factory('Show Graph Editor', 'show_graph_editor')]
return contents
def contextual_menu_contents(self):
"""
"""
save = [('PDF', 'save_pdf', {}), ('PNG', 'save_png', {})]
save_actions = [self.action_factory(n, f, **kw) for n, f, kw in save]
save_menu = MenuManager(name='Save Figure', *save_actions)
export_actions = [self.action_factory('CSV', 'export_data')]
export_menu = MenuManager(name='Export', *export_actions)
rescale = [('X', 'rescale_x_axis', {}),
('Y', 'rescale_y_axis', {}),
('Both', 'rescale_both', {})]
a = self.get_rescale_actions()
if a:
rescale.extend(a)
rescale_actions = [self.action_factory(n, f, **kw) for n, f, kw in rescale]
rescale_menu = MenuManager(name='Rescale', *rescale_actions)
contents = [save_menu, export_menu, rescale_menu]
c = self.get_child_context_menu_actions()
if c:
contents.extend(c)
return contents
def contextual_menu_contents(self):
contents = super(RegressionContextMenuMixin, self).contextual_menu_contents()
actions = [('linear', 'cm_linear'),
('parabolic', 'cm_parabolic'),
('cubic', 'cm_cubic'),
('quartic', 'cm_quartic'),
('exponential', 'cm_exponential'),
(u'average {}SD'.format(PLUSMINUS), 'cm_average_std'),
(u'average {}SEM'.format(PLUSMINUS), 'cm_average_sem')]
menu = MenuManager(*[self.action_factory(name, func) for name, func in actions],
name='Fit')
actions = [('SD', 'cm_sd'),
('SEM', 'cm_sem'),
('CI', 'cm_ci'),
('MonteCarlo', 'cm_mc')]
emenu = MenuManager(*[self.action_factory(name, func) for name, func in actions],
name='Error')
fmenu = MenuManager(self.action_factory('Show/Hide Filter Region', 'cm_toggle_filter_bounds'),
self.action_factory('Show/Hide All Filter Region', 'cm_toggle_filter_bounds_all'),
name='Filtering')
contents.append(menu)
contents.append(emenu)
contents.append(fmenu)
return contents
def contextual_menu_contents(self):
contents = super(RegressionContextMenuMixin,
self).contextual_menu_contents()
actions = [('linear', 'cm_linear'), ('parabolic', 'cm_parabolic'),
('cubic', 'cm_cubic'),
(u'average {}SD'.format(PLUSMINUS), 'cm_average_std'),
(u'average {}SEM'.format(PLUSMINUS), 'cm_average_sem')]
menu = MenuManager(
*[self.action_factory(name, func) for name, func in actions],
name='Fit')
# contents.append(Menu(
# self.action_factory('Omit', 'set_status'),
# self.action_factory('Include', 'set_status'),
# name=))
contents.append(menu)
return contents
def traits_view(self):
cols = [
CheckboxColumn(name='status'),
ObjectColumn(name='status'),
ObjectColumn(name='runid', width=50),
ObjectColumn(name='age', width=100),
ObjectColumn(name='age_err', width=100, label=PLUSMINUS_ONE_SIGMA),
ObjectColumn(name='group'),
ObjectColumn(name='aliquot'),
ObjectColumn(name='sample')
]
gcols = [
ObjectColumn(name='name'),
ObjectColumn(
name='weighted_mean',
label='Wtd. Mean',
format='%0.6f',
),
ObjectColumn(name='weighted_mean_err',
format='%0.6f',
label=PLUSMINUS_ONE_SIGMA),
ObjectColumn(name='mswd', format='%0.3f', label='MSWD'),
ObjectColumn(name='displayn', label='N'),
ObjectColumn(name='mean', format='%0.6f', label='Mean'),
ObjectColumn(name='std', format='%0.6f', label='Std'),
ObjectColumn(name='min', format='%0.6f', label='Min'),
ObjectColumn(name='max', format='%0.6f', label='Max'),
ObjectColumn(name='dev', format='%0.6f', label='Dev.'),
ObjectColumn(name='percent_dev', format='%0.2f', label='% Dev.')
]
button_grp = HGroup(UItem('save_button'), UItem('save_as_button'),
UItem('clear_button'),
UItem('open_via_finder_button'),
UItem('add_record_button'),
UItem('calculate_button')),
repo_grp = VGroup(
BorderVGroup(UItem('repo_filter'),
UItem('repositories',
width=200,
editor=ListStrEditor(selected='repository')),
label='Repositories'),
BorderVGroup(UItem('name_filter'),
UItem('names', editor=ListStrEditor(selected='name')),
label='DataSets'))
record_grp = VSplit(
UItem(
'records',
editor=TableEditor(
columns=cols,
selected='selected',
sortable=False,
edit_on_first_click=False,
# clear_selection_on_dclicked=True,
menu=MenuManager(
Action(name='Group Selected',
perform=self._group_selected)),
selection_mode='rows')),
UItem('groups', editor=TableEditor(columns=gcols)))
main_grp = HSplit(repo_grp, record_grp)
v = okcancel_view(
VGroup(button_grp, main_grp),
width=1100,
height=500,
title='CSV Dataset',
# handler=CSVDataSetFactoryHandler()
)
return v
def get_contextual_menu(self):
"""
"""
ctx_menu = MenuManager(*self.contextual_menu_contents())
return ctx_menu