def _get_curve(self):
x_y = self.driver.sc.fetch()
meta = dict()
meta["name"] = "scope_curve"
meta["acquisition_type"] = self.acquisition_types[self.acquisition_type]
meta["averaging"] = self.number_of_averages
meta["start_time"] = self.start_time
meta["record_length"] = self.record_length
meta["sample_rate"] = self.sample_rate
meta["coupling"] = self.ch_couplings[self.ch_coupling]
meta["full_range"] = self.ch_range
meta["offset"] = self.ch_offset
meta["input_freq_max"] = self.ch_input_frequency_max
meta["input_impedance"] = self.ch_input_impedance
meta["channel"] = self.channel_idxs[self.channel_idx]
meta["curve_type"] = "ScopeCurve"
meta["instrument_logical_name"] = self.logical_name
curve = Curve()
curve.set_data(pandas.Series(x_y[1], index = x_y[0]))
curve.set_params(**meta)
return curve
add_fields(IviScopeDriver, ShortCutScope._fields)
add_fields(IviScopeDriver, ['channel_idx'])
add_fields(IviScopeDriver, ShortCutScope._ch_fields)
add_fields(IviScopeDriver, ["sample_modes",
"acquisition_types",
"ch_couplings"], add_ref=False)
meta["stop_freq"] = self.frequency_stop
meta["span"] = self.span
meta["bandwidth"] = self.if_bandwidth
meta["sweep_time"] = self.sweep_time
meta["output_port"] = self.output_port
meta["input_port"] = self.input_port
meta["format"] = self.formats[self.format]
meta["measurement"] = self.measurement_idxs[self.measurement_idx]
meta["channel"] = self.channel_idxs[self.channel_idx]
meta["instrument_type"] = "NA"
meta["instrument_logical_name"] = self.logical_name
curve = Curve()
curve.set_data(pandas.Series(x_y[1], index = x_y[0]))
curve.set_params(**meta)
return curve
@classmethod
def supported_software_modules(cls):
return ['AgNA']
add_fields(IviAgNADriver, ShortCutNA._fields)
add_fields(IviAgNADriver, ['channel_idx'])
add_fields(IviAgNADriver, ShortCutNA._ch_fields)
add_fields(IviAgNADriver, ['measurement_idx'])
add_fields(IviAgNADriver, ShortCutNA._m_fields)
add_fields(IviAgNADriver, ["sweep_types",
"formats"], add_ref=False)
meta = dict()
meta["name"] = "scope_curve"
meta["acquisition_type"] = self.acquisition_types[
self.acquisition_type]
meta["averaging"] = self.number_of_averages
meta["start_time"] = self.start_time
meta["record_length"] = self.record_length
meta["sample_rate"] = self.sample_rate
meta["coupling"] = self.ch_couplings[self.ch_coupling]
meta["full_range"] = self.ch_range
meta["offset"] = self.ch_offset
meta["input_freq_max"] = self.ch_input_frequency_max
meta["input_impedance"] = self.ch_input_impedance
meta["channel"] = self.channel_idxs[self.channel_idx]
meta["curve_type"] = "ScopeCurve"
meta["instrument_logical_name"] = self.logical_name
curve = Curve()
curve.set_data(pandas.Series(x_y[1], index=x_y[0]))
curve.set_params(**meta)
return curve
add_fields(IviScopeDriver, ShortCutScope._fields)
add_fields(IviScopeDriver, ['channel_idx'])
add_fields(IviScopeDriver, ShortCutScope._ch_fields)
add_fields(IviScopeDriver,
["sample_modes", "acquisition_types", "ch_couplings"],
add_ref=False)
meta["name"] = "specan_curve"
meta["curve_type"] = 'SpecAnCurve'
meta["trace_type"] = self.tr_types[self.tr_type]
meta["averaging"] = self.number_of_sweeps
meta["center_freq"] = self.frequency_center
meta["start_freq"] = self.frequency_start
meta["stop_freq"] = self.frequency_stop
meta["span"] = self.span
meta["bandwidth"] = self.resolution_bandwidth
meta["sweep_time"] = self.sweep_time
meta["detector_type"] = self.detector_types[self.detector_type]
meta["trace"] = self.trace_idxs[self.trace_idx]
meta["instrument_type"] = "SpecAn"
meta["instrument_logical_name"] = self.logical_name
#curve = Curve(pandas.Series(x_y[1], index = x_y[0]), meta = meta)
curve = Curve()
curve.set_data(pandas.Series(x_y[1], index = x_y[0]))
curve.set_params(**meta)
return curve
add_fields(IviSpecAnDriver, ShortCutSpecAn._fields)
add_fields(IviSpecAnDriver, ['trace_idx'])
add_fields(IviSpecAnDriver, ShortCutSpecAn._tr_fields)
add_fields(IviSpecAnDriver, ["detector_types",
"tr_types"], add_ref=False)
#add_fields(IviScopeDriver, [field[0] for field in ShortCutScope._channel_related_fields])
