network_analyzer.py 文件源码

def _update_data_x(self):
        if self.is_zero_span():
            self._data_x = np.zeros(self.points)
            # data_x will be measured during first scan...
            return

        if self.logscale:
            raw_values = np.logspace(
                np.log10(self.start_freq),
                np.log10(self.stop_freq),
                         self.points,
                         endpoint=True)
        else:
            raw_values = np.linspace(self.start_freq,
                               self.stop_freq,
                               self.points,
                               endpoint=True)
        values = np.zeros(len(raw_values))
        for index, val in enumerate(raw_values):
            values[index] = self.iq.__class__.frequency. \
                validate_and_normalize(self, val)  # retrieve the real freqs...
        self._data_x = values