Import data from Qualisys Track Manager into pandas.
Project description
Load data from a .txt file exported from QTM into pandas:
In [1]: from qualisys import load_qtm_data
In [2]: data, metadata = load_qtm_data('example_data.txt')
In [3]: metadata
Out[3]:
{'analog_frequency': 0,
'description': '--',
'events': [],
'no_of_frames': 720,
'pc_on_time': 912.56663253,
'no_of_cameras': 7,
'marker_names': ['right_knee', 'right_ankle'],
'frequency': 120,
'no_of_markers': 2,
'no_of_analog': 0,
'data_included': '3D',
'time_stamp': numpy.datetime64('2014-06-17T08:53:44-0400')}
In [4]: data.head()
Out[4]:
right_ankle right_knee \
x y z x
2014-06-17 12:53:44.008329999 1501.102 2073.985 102.815 1440.857
2014-06-17 12:53:44.016669999 1501.187 2074.183 103.058 1440.625
2014-06-17 12:53:44.025000 1501.052 2073.905 102.775 1434.826
2014-06-17 12:53:44.033330 1501.557 2073.970 103.195 1435.092
2014-06-17 12:53:44.041670 1501.425 2073.629 102.974 1435.118
y z
2014-06-17 12:53:44.008329999 2052.804 474.694
2014-06-17 12:53:44.016669999 2052.820 474.753
2014-06-17 12:53:44.025000 2054.241 482.904
2014-06-17 12:53:44.033330 2051.464 481.212
2014-06-17 12:53:44.041670 2051.504 481.120
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