project reorganization: 1. executable files in bin directory now. 2. add recursive_unpack_targz.py for recursive unpacking specified in this script archives tar.gz with MVN data. 3. add asotr_unzip_plot.sh bash file for unpacking MVN data, collect asotr data into csv files and plot asotr MVN data. 4. add brd_wheel_1Hz_parser.py for demonstrate how to work with brd telemetry data

bin/plot_periods_profile.py

@@ -0,0 +1,86 @@
+import sys
+from importlib import reload
+sys.path.append('./')
+import asotr
+reload(asotr)
+import matplotlib.pyplot as plt
+from matplotlib import dates
+import numpy as np
+from datetime import timedelta
+
+path = '../data/asotr/'
+pict_name = '../plots/periods_profile/periods_profile_10042025.png'
+channel = 'ch1'
+asotr_kit = '01'
+start_date = '24.04.2025 22:30:00'
+end_date = '25.04.2025 02:00:00'
+# start_date = '06.01.2025 22:40:00'
+# end_date = '21.01.2025 01:20:00'
+shift = False 
+
+raw_data, data_dict = asotr.get_data(path, asotr_kit, start_date, end_date, 'minutes')
+
+data1 = data_dict['temp'][channel]
+time1 = data_dict['time_temp']
+
+periods_t, periods, _ = asotr.find_periods(time1, data1, shift_flag=False, peaks='min')
+
+_, _, peaks = asotr.find_periods(time1, data1, shift_flag=False, peaks='max')
+
+peaks_forecast = asotr.get_peak_temp_forecast(time1.iloc[peaks[0]], 1000)
+
+delta_sec = []
+for idx, elem in enumerate(peaks):
+    if idx > 0:
+        print(f'peak____: {time1.iloc[elem]}')
+        print(f'forecast: {peaks_forecast[idx-1]}')
+        delta = time1.iloc[elem] - peaks_forecast[idx-1]
+        delta_sec.append(delta.total_seconds())
+
+time_, periods_ = asotr.get_signal_profile_corr(time1, data1, periods[0], shift, peak_height=0.7)
+print(f'Найдено {len(periods_)} периодов.')
+
+ox_dtime_format = "%H:%M:%S"
+fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(14, 10))
+
+date_formatter = dates.DateFormatter(ox_dtime_format)
+ax1.xaxis.set_major_formatter(date_formatter)
+
+ax1.plot(time1, data1)
+for elem in peaks:
+    ax1.axvline(x = time1.iloc[elem], color='r', linewidth=0.5)
+    
+ax1.set_title(f'Температура на орбите: АСОТР{asotr_kit}, канал {channel[2]}')
+
+for idx, period in enumerate(periods_):
+    ax2.plot(np.arange(len(period)), period, label=f'период {idx}')
+
+ax2.set_title('Профиль изменения температуры АСОТР по периоду')
+
+delta = []
+for elem in periods_:
+    delta1 = elem.values - periods[0].values
+    delta.append(delta1)
+    
+for idx, elem in enumerate(delta):
+    if idx == len(delta) - 1:
+        ax3.plot(elem, label=f'период {idx}', marker='|', linewidth=2)
+    elif idx == len(delta)//2:
+        ax3.plot(elem, label=f'период {idx}', marker='^', linewidth=2)
+    elif idx == 1:
+        ax3.plot(elem, label=f'период {idx}', marker='o', linewidth=2)
+    elif idx > 0:
+        ax3.plot(elem, label=f'период {idx}')
+
+ax3.set_title(r'$\Delta$$T_i$ = $T_i$ - $T_1$')
+ax1.set_ylabel('Температура, $^\circ$C')
+ax2.set_ylabel('Температура, $^\circ$C')
+ax3.set_ylabel(r'$\Delta$$T_i$, $^\circ$C')
+ax3.set_xlabel("Время, мин.")
+ax1.grid(True)
+ax2.grid(True)
+ax3.grid(True)
+ax2.legend()
+ax3.legend()
+fig.savefig(pict_name)
+plt.show()