def getvar(db, key):
X = db[key]
dims = []
for x in X.dims:
if len(x):
dimcls = dimrep[cast_unicode(x[0].attrs.get("dimtype",
"DimSweep"))]
dim = dimcls(x[0].name.strip("/"),
x[0][...],
unit=x[0].attrs.get("unit", None))
dims.append(dim)
unit = X.attrs.get("unit", None)
outputformat = X.attrs.get("outputformat", None)
dtype = X.attrs.get("dtype", None)
if len(dims) == len(X.dims):
return hfarray(X.value,
dims=dims,
unit=unit,
dtype=dtype,
outputformat=outputformat)
else:
dimcls = dimrep[X.attrs.get("dimtype", "DimSweep")]
dim = dimcls(X.name.strip("/"), X[...], unit=unit)
return hfarray(X.value,
dims=(dim, ),
unit=unit,
dtype=dtype,
outputformat=outputformat)
def read_hdf5(h5file, name="datablock", **kw):
with hdf5context(h5file) as fil:
version = cast_unicode(fil.attrs.get("hftools file version", ""))
if version == "0.2":
return v_02.read_hdf5(fil, name=name, **kw)
else:
return v_01.read_hdf5(fil, name=name, **kw)
def read_hdf5(h5file, name="datablock", **kw):
if isinstance(h5file, string_types):
fil = h5py.File(h5file, "r")
else:
fil = h5file
db = DataBlock()
grp = fil[name]
blockname = grp.attrs["Blockname"]
if blockname.lower() == "none":
blockname = None
db.blockname = blockname
comments = grp["Comments"]
if "fullcomments" in comments and len(comments["fullcomments"]):
db.comments = Comments([
cast_unicode(x).strip() for x in np.array(comments["fullcomments"])
])
else:
db.comments = Comments()
ivardata = grp["ivardata"]
vardata = grp["vardata"]
for k in ivardata:
v = ivardata[k]
datadtype = v.attrs[r"info\dtype"] or None
dimcls = dims_dict.get(v.attrs[r"info\class"], DimRep)
unit = str(v.attrs.get(r"info\unit", "none"))
if unit.lower() == "none":
unit = None
vdata = np.array(np.array(v), dtype=datadtype)
dim = dimcls(k, vdata, unit=unit)
db[k] = dim
for k in vardata:
v = vardata[k]
datadtype = v.attrs[r"data\dtype"] or None
dims = tuple(db.ivardata[cast_unicode(dimname)]
for dimname in v.attrs[r"info\name"])
unit = cast_unicode(v.attrs.get(r"data\unit", "none"))
if unit.lower() == "none":
unit = None
db[k] = hfarray(np.array(v), dtype=datadtype, dims=dims, unit=unit)
if isinstance(h5file, string_types):
fil.close()
if kw.get("property_to_vars", False):
db.values_from_property()
return db
def read_file(cls,
filename,
make_complex=True,
property_to_vars=True,
guess_unit=True,
normalize=True,
make_matrix=False,
merge=True,
verbose=False,
multiple_files=True,
hyper=False,
encoding="cp1252",
**kw):
obj = cls(make_complex=make_complex,
property_to_vars=property_to_vars,
guess_unit=guess_unit,
normalize=normalize,
make_matrix=make_matrix,
merge=merge,
verbose=verbose,
hyper=hyper,
**kw)
obj.filename = filename
if multiple_files:
if isinstance(filename, (list, tuple)):
filenames = []
for f in filename:
filenames.extend(glob(f))
else:
filenames = glob(filename)
else:
filenames = [filename]
filenames = [path(f) for f in filenames]
objs = []
if not filenames:
raise IOError("Pattern %r did not match any files" % filename)
for idx, fname in enumerate(filenames):
if verbose:
print("\r%-80s\r" % fname.basename(), end="")
with io.open(fname, encoding=encoding) as fil:
res = obj.do_file(fil)
if multiple_files:
#res["FILEINDEX"] = DimPartial("FILEINDEX", [idx])
fname = py3.cast_unicode(fname)
if "FILENAME" not in res:
res["FILENAME"] = hfarray(fname)
objs.append(res)
if multiple_files:
res = obj._merge(objs)
else:
res = objs
if verbose:
print("\r%80s\r" % "")
return res
def blockname(self):
if self._blockname is None:
if "FILENAME" in self:
return cast_unicode(self.FILENAME.flat[0])
return self._blockname
