def update(self, d): x = d["ts"] for i, curve in enumerate(self.td_curves): y = d["sweep_history"][:, i] utils.pg_curve_set_data_with_nan(curve, x, y) r = self.td_smooth_lims.update(d["sweep_history"]) self.td_plot.setYRange(*r) x = d["fs"] y = d["collapsed_asd"] self.collapsed_curve.setData(x, y) m = self.collapsed_smooth_max.update(y) self.collapsed_plot.setXRange(0, x[-1]) self.collapsed_plot.setYRange(0, m) f_max = x[y.argmax()] self.collapsed_vline.setPos(f_max) self.collapsed_vline.show() if self.f: s = "Peak: {:5.1f} Hz".format(f_max) else: s = "Peak: {:3.0f}".format(f_max) self.collapsed_text.setText(s) im = self.collapsed_history_im y = d["collapsed_asd_history"] im.updateImage(y[::-1], levels=(0, 1.05 * y.max())) y = d["dw_asd"] m = max(1, np.max(y)) * 1.05 self.dw_im.updateImage(y, levels=(0, m))
def update(self, data): self.sweep_curve.setData(100.0 * self.r, data["sweep"]) self.mean_sweep_curve.setData(100.0 * self.r, data["last_mean_sweep"]) utils.pg_curve_set_data_with_nan( # Workaround for bug in PyQt5/PyQtGraph self.threshold_curve, 100.0 * self.r, data["threshold"]) m = np.nanmax( np.concatenate([ 2 * data["threshold"], data["sweep"], data["last_mean_sweep"], ])) ymax = self.smooth_max_sweep.update(m) self.sweep_plot.setYRange(0, ymax) self.main_peak.setData(data["main_peak_hist_sweep_s"], 100 * data["main_peak_hist_dist"]) self.minor_peaks.setData(data["minor_peaks_hist_sweep_s"], 100 * data["minor_peaks_hist_dist"])
def update(self, data): self.sweep_curve.setData(100.0 * self.r, data["sweep"]) self.mean_sweep_curve.setData(100.0 * self.r, data["last_mean_sweep"]) utils.pg_curve_set_data_with_nan( # Workaround for bug in PyQt5/PyQtGraph self.threshold_curve, 100.0 * self.r, data["threshold"]) m = np.nanmax( np.concatenate([ 2 * data["threshold"], data["sweep"], data["last_mean_sweep"], ])) ymax = self.smooth_max_sweep.update(m) self.sweep_plot.setYRange(0, ymax) self.main_peak.setData(data["main_peak_hist_sweep_s"], 100 * data["main_peak_hist_dist"]) self.minor_peaks.setData(data["minor_peaks_hist_sweep_s"], 100 * data["minor_peaks_hist_dist"]) self.first_distance_above_threshold.setData( data["above_thres_hist_sweep_s"], 100 * data["above_thres_hist_dist"]) if data["found_peaks"] is not None: peaks = np.take(self.r, data["found_peaks"]) * 100.0 for i, line in enumerate(self.peak_lines): try: peak = peaks[i] except (TypeError, IndexError): line.hide() else: line.setPos(peak) line.show() if data["found_peaks"]: text = "{:.2f} cm".format(peaks[0]) else: text = "-" self.peak_text.setText(text)