def extract_data(self):
self.TD_timestamps = a_tools.get_timestamps_in_range(self.t_start, self.t_stop, label=self.labels)
if len(self.TD_timestamps) < 1:
raise ValueError("No timestamps in range! Check the labels and other filters.")
self.TD_dict = a_tools.get_data_from_timestamp_list(self.TD_timestamps, self.params_dict_TD, numeric_params=self.numeric_params)
# Use timestamps to calculate datetimes and add to dictionary
self.TD_dict['datetime'] = [a_tools.datetime_from_timestamp(timestamp) for timestamp in self.TD_dict['timestamps']]
def extract_data(self):
self.raw_data_dict = OrderedDict()
data_file = MeasurementAnalysis(timestamp=self.timestamp,
auto=True, TwoD=False)
dateobj = a_tools.datetime_from_timestamp(self.timestamp)
self.timestamps = [self.timestamp]
self.raw_data_dict['timestamps'] = [self.timestamp]
self.raw_data_dict['datetime'] = np.array([dateobj], dtype=datetime.datetime)
temp = data_file.load_hdf5data()
data_file.get_naming_and_values()
self.raw_data_dict['scaling_amp'] = data_file.sweep_points
self.raw_data_dict['SNR'] = np.array(data_file.measured_values[0], dtype=float)
self.raw_data_dict['F_d'] = np.array(data_file.measured_values[1], dtype=float)
self.raw_data_dict['F_a'] = np.array(data_file.measured_values[2], dtype=float)
self.raw_data_dict['folder'] = data_file.folder
def extract_data(self):
self.TD_timestamps = self.t_list
if len(self.TD_timestamps) < 1:
raise ValueError(
"No timestamps in range! Check the labels and other filters.")
self.TD_dict = a_tools.get_data_from_timestamp_list(
self.TD_timestamps,
self.params_dict_TD,
numeric_params=self.numeric_params)
# Use timestamps to calculate datetimes and add to dictionary
self.TD_dict['datetime'] = [
a_tools.datetime_from_timestamp(timestamp)
for timestamp in self.TD_dict['timestamps']
]
def extract_data(self):
self.raw_data_dict = OrderedDict()
data_file = MeasurementAnalysis(label=self.labels[0],
timestamp=self.timestamp,
auto=True,
TwoD=False)
dateobj = a_tools.datetime_from_timestamp(self.timestamp)
self.timestamps = [self.timestamp]
self.raw_data_dict['timestamps'] = [self.timestamp]
self.raw_data_dict['datetime'] = np.array([dateobj],
dtype=datetime.datetime)
temp = data_file.load_hdf5data()
data_file.get_naming_and_values()
self.raw_data_dict['scaling_amp'] = data_file.sweep_points
self.raw_data_dict['dephasing'] = np.array(
data_file.measured_values[0], dtype=float)
self.wrap_phase = self.options_dict.get('wrap_phase', 0)
phase_raw = np.array(data_file.measured_values[1], dtype=float)
self.raw_data_dict['phase'] = (phase_raw +
self.wrap_phase) % 360 - self.wrap_phase
self.raw_data_dict['folder'] = data_file.folder
