Source code for sensors.yei

Import data saved with yei-sensors, through subclassing "IMU_Base"

Author: Thomas Haslwanter
Date: Sept-2017

import numpy as np
import pandas as pd
import re
import abc

# To ensure that the relative path works
import os
import sys

parent_dir = os.path.abspath(os.path.join( os.path.dirname(__file__), '..' ))
if parent_dir not in sys.path:
    sys.path.insert(0, parent_dir)

from imus import IMU_Base

[docs]class YEI(IMU_Base): """Concrete class based on abstract base class IMU_Base """
[docs] def get_data(self, in_file, in_data=None): '''Get the sampling rate, as well as the recorded data, and assign them to the corresponding attributes of "self". Parameters ---------- in_file : string Filename of the data-file in_data : not used here Assigns ------- - rate : rate - acc : acceleration - omega : angular_velocity - mag : mag_field_direction ''' data = pd.read_csv(in_file) # Generate a simple list of column names newColumns = [] pattern = re.compile('.*%(\w+)\((\w+)\)') for name in data.columns: newColumns.append(pattern.match(name).groups()[1]) data.columns = newColumns # Calculate rate (ChipTime is in microsec) start = data.ChipTimeUS[0] * 1e-6 # microseconds to seconds stop = data.ChipTimeUS.values[-1] * 1e-6 # pandas can't count backwards rate = len(data) / (stop-start) # Extract the columns that you want, and pass them on in_data = {'rate':rate, 'acc': data.filter(regex='Accel').values, 'omega': data.filter(regex='Gyro').values, 'mag': data.filter(regex='Compass').values} self._set_data(in_data)
if __name__ == '__main__': my_sensor = YEI(in_file=r'..\tests\data\data_yei.txt') import matplotlib.pyplot as plt plt.plot(my_sensor.acc) print('Done')