def __init__(self, dataset=None, fitmodel=None):
"""create a model dict from ekin dataset and allow simple add/remove rows"""
ek = self.ek = dataset
modeldata = self.createData(ek)
TableModel.__init__(self, modeldata)
return
def __init__(self, dictdata=None):
self.dict = dictdata
TableModel.__init__(self)
if dictdata == None:
return
for key in dictdata:
#assumes D is dict with some text fields
D = dictdata[key]
if D.has_key('name'):
del D['name']
self.addRecord(name=key, **D)
return
def __init__(self, dictdata=None):
self.dict = dictdata
TableModel.__init__(self)
if dictdata == None:
return
for key in dictdata:
#assumes D is dict with some text fields
D = dictdata[key]
if D.has_key('name'):
del D['name']
self.addRecord(name=key, **D)
return
def __init__(self, E):
self.E = E
TableModel.__init__(self)
self.addColumn('name'); self.addColumn('model')
for d in E.datasets:
fdata = E.getFitData(d)
M = E.getMetaData(d)
if E.currentmode == 'NMR titration':
try:
edata = E.getDataset(d)
M['residue'] = edata['residue']
M['resnum'] = edata['res_num']
M['atom'] = edata['atom_type']
except:
pass
if fdata != {} and fdata!= None:
model = fdata['model']
else:
model=''
self.checkDict(M)
self.addRecord(name=d, **M)
return
def __init__(self, E):
self.E = E
TableModel.__init__(self)
self.addColumn('name')
self.addColumn('model')
for d in E.datasets:
fdata = E.getFitData(d)
M = E.getMetaData(d)
if E.currentmode == 'NMR titration':
try:
edata = E.getDataset(d)
M['residue'] = edata['residue']
M['resnum'] = edata['res_num']
M['atom'] = edata['atom_type']
except:
pass
if fdata != {} and fdata != None:
model = fdata['model']
else:
model = ''
self.checkDict(M)
self.addRecord(name=d, **M)
return
def __init__(self, dataset=None, fitmodel=None):
"""create a model dict from ekin dataset and allow simple add/remove rows"""
ek = self.ek = dataset
modeldata = self.createData(ek)
TableModel.__init__(self, modeldata)
return
