asammdf

import numpy as np from asammdf import MDF, Signal import os # Create a dummy MDF file for demonstration file_name = "example.mdf" # Ensure clean slate for quickstart run if os.path.exists(file_name): os.remove(file_name) # 1. Create some dummy signals time_stamps = np.arange(0, 10, 0.1) signal1_data = np.sin(time_stamps) signal2_data = np.cos(time_stamps) s1 = Signal(samples=signal1_data, timestamps=time_stamps, name='Engine_Speed', unit='rpm') s2 = Signal(samples=signal2_data, timestamps=time_stamps, name='Vehicle_Speed', unit='km/h') # 2. Write signals to a new MDF file (using context manager) with MDF(version='4.10') as mdf_writer: mdf_writer.append([s1, s2], comment='Basic measurement data') mdf_writer.save(file_name, overwrite=True) print(f"Dummy MDF file '{file_name}' created successfully.\n") # 3. Read the MDF file back with MDF(file_name) as mdf_reader: print(f"File version: {mdf_reader.version}") print(f"Available channels: {mdf_reader.channels}") # 4. Access a specific signal by name engine_speed_signal = mdf_reader.get('Engine_Speed') if engine_speed_signal: print(f"\nSignal 'Engine_Speed' unit: {engine_speed_signal.unit}") print(f"Signal 'Engine_Speed' samples (first 5): {engine_speed_signal.samples[:5]}") print(f"Signal 'Engine_Speed' timestamps (first 5): {engine_speed_signal.timestamps[:5]}") # 5. Select multiple signals selected_signals = mdf_reader.select(channels=['Engine_Speed', 'Vehicle_Speed']) print(f"\nSelected signals count: {len(selected_signals)}") # Clean up the dummy file if os.path.exists(file_name): os.remove(file_name) print(f"\nDummy MDF file '{file_name}' cleaned up.")