def __init__(self, filename=None, w=1e-6, t=1e-6, L=1e-6, sign=1, **kwargs):
self.parameters = []
self.measures = []
self.raw_data = []
# Check for some specific kwargs and update kwargs
self["force_kxy"], kwargs = self.__check_force_kxy(**kwargs)
self["symmetrize"], kwargs = self.__check_symmetrize(**kwargs)
self["sign"] = self.__check_sign(sign)
self["gain"], kwargs = self.__check_gain(**kwargs)
if filename is not None:
filename = os.path.abspath(filename)
self["filename"] = filename
self["filetype"] = self.__check_filetype(filename)
# Find info
self.__add_parameters(w, t, L)
# If the file contains raw data
if self["filetype"] == "raw":
# If symmetrize is True
if self["H"] != "0.0" and self["symmetrize"] is True:
filename2 = U.get_symetric_file(filename)
raw_data = self.__Symmetrize(filename, filename2)
elif self["H"] != "0.0" and self["symmetrize"] is False:
if filename.find("--") != -1:
self["H"] = "-"+self["H"]
raw_data = U.read_file_raw(filename)
else:
raw_data = U.read_file_raw(filename)
else:
raw_data = U.read_file_raw(filename)
for key, values in raw_data.items():
self[key] = values
self.raw_data.append(key)
self.__Analyze(self["gain"])
self.__add_measure()
# If the file contains treated data
elif self["filetype"] == "treated":
data = U.read_file_treated(filename)
for key, values in data.items():
self[key] = values
self.measures.append(key)
self.__add_measure()
# Remaining kwargs are set as parameters
for key, value in kwargs.items():
self[key] = value
self.parameters.append(key)
return
def __init__(self, filename=None, **kwargs):
"""
Used to initialize a Measurement object
Parameters:
------------------------------------------------------------------------
filename : str
The path to the file containing the data to be read and stored.
Can be relative or absolute.
Useful kwargs:
------------------------------------------------------------------------
H, w, t, L : int or float
The value of the magnetic field used during the experiment and
the geometric parameters of the sample. Note that kwargs are
case sensitive and are used to populate the parameters attribute
of the object
sample : str
The name of the sample.
"""
self.measures = []
self.parameters = []
if filename is not None:
filename = os.path.abspath(filename)
data = U.read_file_treated(filename)
header = U.read_header(filename)
for key, value in data.items():
self[key] = value
self.measures.append(key)
self["H"] = U.find_H(filename, header)
self["date"] = U.find_date(filename, header)
self["mount"] = U.find_mount(filename, header)
self["sample"] = U.find_sample(filename, header)
self["probe"] = U.find_probe(filename, header)
self.parameters += ["H", "date", "mount", "sample", "probe"]
for key, value in kwargs.items():
self[key] = value
if key not in self.parameters:
self.parameters.append(key)
if hasattr(self, "__sample") is False:
setattr(self, "__sample", "unknown")
else:
pass
if hasattr(self, "__H") is False:
setattr(self, "__H", "unknown")
else:
pass
self.__add_measure()
return