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)
