def test_selection1d_resolves(self):
points = Points([1, 2, 3])
Selection1D(source=points)
plot = bokeh_server_renderer.get_plot(points)
selected = Selection(indices=[0, 2])
callback = plot.callbacks[0]
spec = callback.attributes['index']
resolved = callback.resolve_attr_spec(spec, selected, model=selected)
self.assertEqual(resolved, {'id': selected.ref['id'], 'value': [0, 2]})
def mkglyph(x, y, selection):
r = p.circle(x,
y,
color='green',
size=40,
selection_color='red',
selection_alpha=0.2,
nonselection_color='black')
r.data_source.selected = Selection(indices=selection)
return r
def _reset(self, cache: CACHE_TYPE):
fov = self._fov
if fov is not None and self._idfov != id(fov):
self._idfov = id(fov)
self._imagedata(cache)
cache[self._beadssource].update(self._beadsdata())
sel = self._beadssource.selected
good = [self._model.bead] if self._model.bead is not None else []
if getattr(sel, 'indices', None) != good:
if sel is None:
cache[self._beadssource].update(selected=Selection(
indices=good))
else:
cache[sel].update(indices=good)
self._calibdata(cache)
def update_upon_pixel_selection(attr, old, new):
"""Callback to take action when pixels are selected."""
# check if a selection was "re-clicked".
if ((sorted(existing_selection['indices']) == sorted(new.indices))
& (new.indices != [])):
tpf_source.selected = Selection(indices=new.indices[1:])
existing_selection['indices'] = new.indices[1:]
else:
existing_selection['indices'] = new.indices
if tpf_source.selected.indices != []:
selected_indices = np.array(tpf_source.selected.indices)
selected_mask = np.isin(pixel_index_array, selected_indices)
lc_new = tpf.to_lightcurve(aperture_mask=selected_mask)
lc_source.data['flux'] = lc_new.flux
ylims = get_lightcurve_y_limits(lc_source)
fig_lc.y_range.start = ylims[0]
fig_lc.y_range.end = ylims[1]
else:
lc_source.data['flux'] = lc.flux * 0.0
fig_lc.y_range.start = -1
fig_lc.y_range.end = 1
def test_server_callback_resolve_attr_spec_source_selected(self):
source = ColumnDataSource()
source.selected = Selection(indices=[1, 2, 3])
msg = Callback.resolve_attr_spec('cb_obj.selected.indices', source)
self.assertEqual(msg, {'id': source.ref['id'], 'value': [1, 2, 3]})
def test_selected_is_readonly(self) -> None:
ds = bms.ColumnDataSource()
with pytest.raises(RuntimeError) as e:
ds.selected = Selection()
assert str(e).endswith(
"ColumnDataSource.selected is a readonly property")
def tapped(attr, old, new):
"""
Arguments: Must be there, are not used.
Removes lines between nodes and clears the textfields when no nodes
are selected.
Creates lines between the selected nodes if 1 node is selected. Adds
selected node to the selected textfield and the children/parents to
the children/parents field.
Removes lines between the nodes if multiple nodes are selected and
adds them to the selected textfield.
"""
global start_time
elapsed_time = time.time()-start_time
if elapsed_time > 0.5:
if args.models == 2:
if Active:
edges_2.visible = True
else:
edges_r.visible = True
else:
edges_r.visible = True
sr.visible = False
sn.visible = False
if len(source.selected.indices) == 0:
selectedTerm.value=''
parentlist.value=''
childrenlist.value=''
if args.models == 2:
if Active:
edges_2.visible = True
else:
edges_r.visible = True
else:
edges_r.visible = True
sr.visible = False
sn.visible = False
elif len(source.selected.indices) == 1:
global linklst
linklst = []
selectedData = {'x': [df.loc[source.selected.indices[0]]['X']], 'top': [df.loc[source.selected.indices[0]]['Top']], 'bottom': [df.loc[source.selected.indices[0]]['Bottom']]}
showSelected.data = selectedData
parents = getAncestors(source.selected.indices[0])
children = getDescendents(source.selected.indices[0])
start_time = time.time()
select = parents + children
source.selected = Selection(indices=select)
linkdata = {'x0': [], 'y0': [], 'x1': [], 'y1': []};
for i in range(len(linklst)):
linkdata['x0'].append(source.data.get('X')[linklst[i][0]])
linkdata['y0'].append(source.data.get('Y')[linklst[i][0]])
linkdata['x1'].append(source.data.get('X')[linklst[i][1]])
linkdata['y1'].append(source.data.get('Y')[linklst[i][1]])
showlinks.data = linkdata
if args.models == 2:
if Active:
edges_2.visible = False
else:
edges_r.visible = False
else:
edges_r.visible = False
sr.visible = True
sn.visible = True
p, c = [], []
for i in parents:
p.append(source.data['Term'][i])
for i in children:
c.append(source.data['Term'][i])
del c[0]
selectedTerm.value=p.pop(0)
parentlist.value=', '.join(p)
childrenlist.value=', '.join(c)
return
elif len(source.selected.indices) > 1:
selectedTerm.value=', '.join(df['Term'].iloc[source.selected.indices].tolist())
parentlist.value=''
childrenlist.value=''
if args.models == 2:
if active:
edges_2.visible = True
else:
edges_r.visible = True
else:
edges_r.visible = True
sr.visible = False
sn.visible = False
start_time = time.time()
from __future__ import absolute_import from bokeh.io import save from bokeh.models import ColumnDataSource, DataTable, TableColumn, Selection data = dict(x=list(range(10))) selected = Selection(indices=[1, 2]) source = ColumnDataSource(data=data, selected=selected) columns = [TableColumn(field="x", title="X")] data_table = DataTable(source=source, columns=columns) save(data_table)