def add_experimental_plot(self, project, undolist=None):
if undolist is None:
undolist = project.journal
ul = UndoList().describe("Experimental Plot")
ds = Dataset()
ds.key = pdict.unique_key(project.datasets, "exp_ds")
ds.data = Table(ncols=2, nrows=5)
ds.data[0] = [1,2,3,4,5]
ds.data[1] = [1,4,9,16,25]
ds2 = Dataset()
ds2.key = pdict.unique_key(project.datasets, "exp_ds2")
ds2.data = Table(ncols=2, nrows=4)
ds2.data[0] = [10,17,3,8]
ds2.data[1] = [1,89,48,1]
plot = Plot()
plot.key = pdict.unique_key(project.plots, "exp_plot")
layer1 = Layer(type="line2d",
lines=[Line(source=ds,cx=0,cy=1),
Line(source=ds2,cx=0,cy=1)],
x=0.0, y=0.0, width=1.0, height=0.5)
layer2 = Layer(type="line2d",
lines=[Line(source=ds2,cx=0,cy=1)],
x=0.0, y=0.5, width=1.0, height=0.5)
plot.layers = [layer1, layer2]
project.add_datasets([ds,ds2], undolist=ul)
project.add_plot(plot, undolist=ul)
undolist.append(ul)
def new_dataset(self, key='dataset', undolist=None):
"""
Add a new Dataset object to the Project.
The `data` field contains a nearly empty numarray (1 row, 2
columns, all zero).
If no key is given, then one is created. If the key already
exists, then the method assures that it is unique within the
Project.
Returns newly created Dataset.
"""
if undolist is None:
undolist = self.journal
key = pdict.unique_key(self.datasets, key)
ds = Dataset()
pdict.setitem(self.datasets, key, ds)
ds.data = Table(nrows=1,ncols=2)
ds.data.column(0).designation = 'X'
ds.data.column(1).designation = 'Y'
self.sig_emit("notify::datasets")
ui = UndoInfo(self.remove_objects, [ds], False)
ui.describe("Create new Dataset '%s'" % key)
undolist.append(ui)
return ds
def add_experimental_plot(self, project, undolist=None):
if undolist is None:
undolist = project.journal
ul = UndoList().describe("Experimental Plot")
ds = Dataset()
ds.key = pdict.unique_key(project.datasets, "exp_ds")
ds.data = Table(colcount=2, rowcount=5)
ds.data[0] = [1,2,3,4,5]
ds.data[1] = [1,4,9,16,25]
ds2 = Dataset()
ds2.key = pdict.unique_key(project.datasets, "exp_ds2")
ds2.data = Table(colcount=2, rowcount=4)
ds2.data[0] = [10,17,3,8]
ds2.data[1] = [1,89,48,1]
ulist.append( project.datasets, ds, undolist=ul )
ulist.append( project.datasets, ds2, undolist=ul )
plot = Plot()
plot.key = pdict.unique_key(project.plots, "exp_plot")
layer1 = Layer(type="line2d",
lines=[Line(source=ds,cx=0,cy=1), Line(source=ds2)],
x=0.0, y=0.0, width=1.0, height=0.5)
layer2 = Layer(type="line2d",
lines=[Line(source=ds2,cx=0,cy=1)],
x=0.0, y=0.5, width=1.0, height=0.5)
plot.layers = [layer1, layer2]
# plot.layers.arrange(rowcount=1, colcount=2)
ulist.append( project.plots, plot, undolist=ul )
uwrap.emit_last(project.datasets, "changed")
undolist.append(ul)
def demo_zno():
ds = Dataset(key="ZnO-10-Abs1")
ds.data = read_table_from_file("../../../Examples/Data/zn10abs1.abs", "ASCII", delimiter="\t")
tbl = ds.data
tbl.column(0).set_values("key", "Wavelength", "label", "Wavelength (nm)")
tbl.column(1).set_values(key="Absorption", designation="Y", label="Optical Absorption (arb. units)")
layer = Layer(
type="line2d",
lines=[Line(source=ds)],
axes={"x": Axis(label="Wavelength [nm]"), "y": Axis(label="Absorption [a.u.]")},
)
pl = Plot(label=u"Optical Absorption of ZnO Quantum Dots", layers=[layer], key=ds.key)
spj = Project(plots=[pl], datasets=[ds])
save_project(spj, "zno.spj")
