ChTheo/RFG_stm32_ADC_receiver_GUI
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awe
2026-02-11 18:27:12 +03:00
parent c3acd0c193
commit ea57f87920
5 changed files with 131 additions and 97 deletions
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41
RFG_ADC_dataplotter.py
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@ -1019,31 +1019,24 @@ def main():
xs = x_shared[: current_sweep_raw.size]
else:
xs = np.arange(current_sweep_raw.size, dtype=np.int32)
line_obj.set_data(xs, current_sweep_raw)
def _norm_to_max(data):
m = float(np.nanmax(np.abs(data)))
return data / m if m > 0.0 else data
line_obj.set_data(xs, _norm_to_max(current_sweep_raw))
if last_calib_sweep is not None:
line_calib_obj.set_data(xs[: last_calib_sweep.size], last_calib_sweep)
line_calib_obj.set_data(xs[: last_calib_sweep.size], _norm_to_max(last_calib_sweep))
else:
line_calib_obj.set_data([], [])
if current_sweep_norm is not None:
line_norm_obj.set_data(xs[: current_sweep_norm.size], current_sweep_norm)
line_norm_obj.set_data(xs[: current_sweep_norm.size], _norm_to_max(current_sweep_norm))
else:
line_norm_obj.set_data([], [])
# Лимиты по X постоянные под текущую ширину
ax_line.set_xlim(0, max(1, current_sweep_raw.size - 1))
# Адаптивные Y-лимиты (если не задан --ylim)
# Фиксированные Y-лимиты после нормировки на максимум
if fixed_ylim is None:
y0 = float(np.nanmin(current_sweep_raw))
y1 = float(np.nanmax(current_sweep_raw))
if np.isfinite(y0) and np.isfinite(y1):
if y0 == y1:
pad = max(1.0, abs(y0) * 0.05)
y0 -= pad
y1 += pad
else:
pad = 0.05 * (y1 - y0)
y0 -= pad
y1 += pad
ax_line.set_ylim(y0, y1)
ax_line.set_ylim(-1.05, 1.05)
ax_line.set_ylabel("/ max")
# Обновление спектра текущего свипа
sweep_for_fft = current_sweep_norm if current_sweep_norm is not None else current_sweep_raw
@ -1422,21 +1415,21 @@ def run_pyqtgraph(args):
xs = x_shared[: current_sweep_raw.size]
else:
xs = np.arange(current_sweep_raw.size)
curve.setData(xs, current_sweep_raw, autoDownsample=True)
def _norm_to_max(data):
m = float(np.nanmax(np.abs(data)))
return data / m if m > 0.0 else data
curve.setData(xs, _norm_to_max(current_sweep_raw), autoDownsample=True)
if last_calib_sweep is not None:
curve_calib.setData(xs[: last_calib_sweep.size], last_calib_sweep, autoDownsample=True)
curve_calib.setData(xs[: last_calib_sweep.size], _norm_to_max(last_calib_sweep), autoDownsample=True)
else:
curve_calib.setData([], [])
if current_sweep_norm is not None:
curve_norm.setData(xs[: current_sweep_norm.size], current_sweep_norm, autoDownsample=True)
curve_norm.setData(xs[: current_sweep_norm.size], _norm_to_max(current_sweep_norm), autoDownsample=True)
else:
curve_norm.setData([], [])
if fixed_ylim is None:
y0 = float(np.nanmin(current_sweep_raw))
y1 = float(np.nanmax(current_sweep_raw))
if np.isfinite(y0) and np.isfinite(y1):
margin = 0.05 * max(1.0, (y1 - y0))
p_line.setYRange(y0 - margin, y1 + margin, padding=0)
p_line.setYRange(-1.05, 1.05, padding=0)
p_line.setLabel("left", "/ max")
# Обновим спектр
sweep_for_fft = current_sweep_norm if current_sweep_norm is not None else current_sweep_raw