def test_to_time_series(self): sensordata = SensorData() sensordata.id_sensor_data = 1 recordset = Recordset() sensordata.recordset = recordset sensor = Sensor() sensor.sampling_rate = 5 sensor.data_rate = 1 sensordata.sensor = sensor channel = Channel() sensordata.channel = channel sensordata.start_timestamp = datetime.datetime.fromtimestamp(0) sensordata.stop_timestamp = datetime.datetime.fromtimestamp(0) sensordata.data = np.array([1, 2, 3, 4, 5], dtype=float) print(sensordata.to_time_series()) print(sensordata)
def test_to_time_series(self): sensordata = SensorData() sensordata.id_sensor_data = 1 recordset = Recordset() sensordata.recordset = recordset sensor = Sensor() sensor.sampling_rate = 5 sensor.data_rate = 1 sensordata.sensor = sensor channel = Channel() sensordata.channel = channel sensordata.data = np.array([1, 2, 3, 4, 5], dtype=float) sensordata.timestamps = SensorTimestamps() sensordata.timestamps.timestamps = np.array([0, 1, 2, 3, 4], dtype=np.float64) sensordata.timestamps.update_timestamps() print(sensordata.to_time_series()) print(sensordata)