def ndarray2bundle(array, varselection=None):
if not isinstance(array, n.ndarray):
raise ValueError("array must be of type numpy.ndarray")
names = array.dtype.names
if varselection is not None:
missing = [i for i in varselection if i not in names]
if len(missing) > 0:
raise ValueError("this array has no variable(s) called %s" % ( " ".join(missing) ))
else:
return bundle( **dict([ (i, array[i]) for i in varselection]))
else:
return bundle( **dict([ (i, array[i]) for i in names ]))
def ndarray2bundle(array, varselection=None):
if not isinstance(array, n.ndarray):
raise ValueError("array must be of type numpy.ndarray")
names = array.dtype.names
if varselection is not None:
missing = [i for i in varselection if i not in names]
if len(missing) > 0:
raise ValueError("this array has no variable(s) called %s" %
(" ".join(missing)))
else:
return bundle(**dict([(i, array[i]) for i in varselection]))
else:
return bundle(**dict([(i, array[i]) for i in names]))
def h5group2bundle(file, h5group):
import tables
assert isinstance(h5group, str)
arrays = dict()
for key in file.get_node(h5group)._v_children.keys():
arrays[key] = file.get_node(h5group+"/"+key).read()
return bundle(**arrays)
def h5group2bundle(file, h5group):
import tables
assert isinstance(h5group, str)
arrays = dict()
for key in file.getNode(h5group)._v_children.keys():
arrays[key] = file.getNode(h5group + "/" + key).read()
return bundle(**arrays)
def read_hdf(h5file, selection):
"""
read a selection of columns in this hdf file
h5file is an open pytables file object
selection is a dict of a form like e.g.
{ "varname" : "/path/to/table:columname",
"varname2" : lambda file: n.log10(file.root.mytable.col("var")),
"var3" : lambda varname, varname2 : 2*varname + varname2}
returns a ndarray_bundle
"""
# cfg checks. determine read order, move variable without dependencies
# to the beginning, variables with dependencies either to the end
# or before the last variable that depends on them
readorder = [] # list of tuples [(varname, [depvar1, depvar2]) ]
while len(readorder) != len(selection):
vars_in_readorder = [i[0] for i in readorder]
for varname, cfg in selection.iteritems():
if varname in vars_in_readorder:
continue
if isinstance(cfg, str):
# path, doesn't depend on anything. put to the beginning of the list
readorder.insert(0, (varname, [] ))
#print "insert", varname
elif callable(cfg):
args = inspect.getargspec(cfg).args
if args == ["file"]:
# pass h5file, calculation doesn't depend on anything
readorder.insert(0, (varname, []) )
#print "insert", varname
elif all(map(lambda i : i in selection, args)):
#print "considering", varname
if all( [i in vars_in_readorder for i in args]):
# all deps are there. look for insert position
for idx in range(len(readorder)+1):
varnames_before = [i[0] for i in readorder[:idx]]
if all([i in varnames_before for i in args]):
#print "insert", varname
readorder.insert(idx, (varname, args))
break
else:
continue
else:
raise ValueError("arguments of callable for varname %s are unknown" % varname)
#print ("reading %d variables in the following order: " % len(readorder))+ " ".join([i[0] for i in readorder])
arrays = dict()
for varname,deps in readorder:
cfg = selection[varname]
if isinstance(cfg, str):
if ":" in cfg:
path, column = cfg.split(":")
arrays[varname] = h5file.get_node(path).col(column)
else:
arrays[varname] = h5file.get_node(cfg).read()
elif callable(cfg):
args = inspect.getargspec(cfg).args
if args == ["file"]:
arrays[varname] = cfg(h5file)
else:
arrays[varname] = cfg(*[arrays[i] for i in args])
return bundle(**arrays)
def read_hdf(h5file, selection):
"""
read a selection of columns in this hdf file
h5file is an open pytables file object
selection is a dict of a form like e.g.
{ "varname" : "/path/to/table:columname",
"varname2" : lambda file: n.log10(file.root.mytable.col("var")),
"var3" : lambda varname, varname2 : 2*varname + varname2}
returns a ndarray_bundle
"""
# cfg checks. determine read order, move variable without dependencies
# to the beginning, variables with dependencies either to the end
# or before the last variable that depends on them
readorder = [] # list of tuples [(varname, [depvar1, depvar2]) ]
while len(readorder) != len(selection):
vars_in_readorder = [i[0] for i in readorder]
for varname, cfg in selection.iteritems():
if varname in vars_in_readorder:
continue
if isinstance(cfg, str):
# path, doesn't depend on anything. put to the beginning of the list
readorder.insert(0, (varname, []))
#print "insert", varname
elif callable(cfg):
args = inspect.getargspec(cfg).args
if args == ["file"]:
# pass h5file, calculation doesn't depend on anything
readorder.insert(0, (varname, []))
#print "insert", varname
elif all(map(lambda i: i in selection, args)):
#print "considering", varname
if all([i in vars_in_readorder for i in args]):
# all deps are there. look for insert position
for idx in range(len(readorder) + 1):
varnames_before = [i[0] for i in readorder[:idx]]
if all([i in varnames_before for i in args]):
#print "insert", varname
readorder.insert(idx, (varname, args))
break
else:
continue
else:
raise ValueError(
"arguments of callable for varname %s are unknown" %
varname)
#print ("reading %d variables in the following order: " % len(readorder))+ " ".join([i[0] for i in readorder])
arrays = dict()
for varname, deps in readorder:
cfg = selection[varname]
if isinstance(cfg, str):
if ":" in cfg:
path, column = cfg.split(":")
arrays[varname] = h5file.getNode(path).col(column)
else:
arrays[varname] = h5file.getNode(cfg).read()
elif callable(cfg):
args = inspect.getargspec(cfg).args
if args == ["file"]:
arrays[varname] = cfg(h5file)
else:
arrays[varname] = cfg(*[arrays[i] for i in args])
return bundle(**arrays)
