rfg_adc_plotter/gui/matplotlib_backend.py

@@ -7,7 +7,9 @@ from typing import Optional, Tuple
 
 import numpy as np
 
-from rfg_adc_plotter.constants import FFT_LEN
+from rfg_adc_plotter.constants import FFT_LEN, FREQ_SPAN_GHZ, IFFT_LEN
+
+_IFFT_T_MAX_NS = float((IFFT_LEN - 1) / (FREQ_SPAN_GHZ * 1e9) * 1e9)
 from rfg_adc_plotter.io.sweep_reader import SweepReader
 from rfg_adc_plotter.processing.normalizer import build_calib_envelopes
 from rfg_adc_plotter.state.app_state import AppState, format_status
@@ -128,8 +130,8 @@ def run_matplotlib(args):
     # График спектра
     fft_line_obj, = ax_fft.plot([], [], lw=1)
     ax_fft.set_title("FFT", pad=1)
-    ax_fft.set_xlabel("X")
-    ax_fft.set_ylabel("Амплитуда, дБ")
+    ax_fft.set_xlabel("Время, нс")
+    ax_fft.set_ylabel("Мощность, дБ")
 
     # Водопад сырых данных
     img_obj = ax_img.imshow(
@@ -149,7 +151,7 @@ def run_matplotlib(args):
         aspect="auto", interpolation="nearest", origin="lower", cmap=args.cmap,
     )
     ax_spec.set_title("B-scan (дБ)", pad=12)
-    ax_spec.set_ylabel("расстояние")
+    ax_spec.set_ylabel("Время, нс")
     try:
         ax_spec.tick_params(axis="x", labelbottom=False)
     except Exception:
@@ -199,9 +201,10 @@ def run_matplotlib(args):
         ax_img.set_xlim(0, ms - 1)
         ax_img.set_ylim(FREQ_MIN, FREQ_MAX)
         img_fft_obj.set_data(np.zeros((fb, ms), dtype=np.float32))
-        img_fft_obj.set_extent((0, ms - 1, 0, fb - 1))
+        img_fft_obj.set_extent((0, ms - 1, 0.0, _IFFT_T_MAX_NS))
         ax_spec.set_xlim(0, ms - 1)
-        ax_spec.set_ylim(0, max(1, fb - 1))
+        ax_spec.set_ylim(0.0, _IFFT_T_MAX_NS)
+        ax_fft.set_xlim(0.0, _IFFT_T_MAX_NS)
 
     _imshow_initialized = [False]