def new_table(spj, element):
# Create field infos
formats = []
info_dict = {}
for eColumn in element.findall("Column"):
# name
try:
name = eColumn.attrib["name"]
except KeyError:
logger.warn("Could not get column name; using default name instead.")
name = utils.unique_names(["col"], info_dict.keys())
# format
try:
format = eColumn.attrib["format"]
except KeyError:
logger.warn("Could not get column type, using default type instead.")
format = "f4"
formats.append(format)
# create info with attributes
info = Table.Info()
for eAttribute in eColumn.findall("Attribute"):
key = eAttribute.attrib["key"]
value = eAttribute.text
if value is not None:
info.set_value(key, value)
info_dict[name] = info
# create table with given format and infos, but w/o any rows
a = numpy.zeros((0,), {"names": info_dict.keys(), "formats": formats})
tbl = Table(a, info_dict)
# node info
for eItem in element.findall("NodeInfo/Item"):
key = eItem.attrib["key"]
value = eItem.text
if value is not None:
tbl.node_info.set_value(key, value)
for eItem in element.findall("NodeInfo/MetaItem"):
key = eItem.attrib["key"]
value = eItem.text
if value is not None:
tbl.node_info.metadata[key] = value
# table key is essential
try:
key = element.attrib["key"]
except KeyError:
logger.warn("Could not get table key. Using generic key instead.")
key = pdict.unique_key(spj.datasets, "dataset")
tbl.key = key
# Right now, the Table is still empty. By setting this callback
# for the _import attribute, the dataset is loaded from the hard
# disk on the next access.
tbl._import = DatasetImporter(spj.get_filename(), tbl.key)
return tbl
def add_experimental_plot(project, undolist=None):
if undolist is None:
undolist = project.journal
ul = UndoList().describe("Experimental Plot")
a = numpy.array(
[(1,1),
(2,4),
(3,9),
(4,16),
(5,25)],
dtype = {'names':['col1','col2'],
'formats':['f4','f4']}
)
ds = Table(a)
ds.infos['col2'].designation = 'Y'
ds.key = pdict.unique_key(project.datasets, "exp_ds")
a = numpy.array(
[(10,12),
(11,14),
(13,-5),
(16,8),
(18,0)],
dtype = {'names':['col3','col4'],
'formats':['f4','f4']}
)
ds2 = Table(a)
ds2.infos['col4'].designation = 'Y'
ds2.key = pdict.unique_key(project.datasets, "exp_ds2")
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]
plot.layers = [layer1]
project.add_datasets([ds,ds2], undolist=ul)
#project.add_dataset(ds, undolist=ul)
project.add_plot(plot, undolist=ul)
undolist.append(ul)
return self.get_columns().index(column)
#return self.get_columns().index(column) - 1
# register only for pygtk < 2.8
if gtk.pygtk_version[1] < 8:
gobject.type_register(DatasetView)
###############################################################################
if __name__ == "__main__":
win = gtk.Window()
win.connect("destroy", gtk.main_quit)
ds = Table( numpy.array([(1,2,3),(4,5,6)]) )
# ds = setup_test_dataset()
# ds.remove(0)
ds.dump()
print ds.nrows
dsview = DatasetView(None,ds)
win.add(dsview)
win.show_all()
gtk.main()