python-qualisys
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Load data from a .txt file exported from QTM into pandas:
pip install qualisys
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
Out[4]:
<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 720 (major_axis) x 3 (minor_axis)
Items axis: RIGHT_KNEE to right_ankle
Major_axis axis: 0.00833 to 6.0
Minor_axis axis: x to z
In [5]: data['right_ankle'].head()
Out[5]:
dim x y z
t
0.00833 1501.102 2073.985 102.815
0.01667 1501.187 2074.183 103.058
0.02500 1501.052 2073.905 102.775
0.03333 1501.557 2073.970 103.195
0.04167 1501.425 2073.629 102.9741 maintainer
Metadata
1 maintainer
Release files for python-qualisys 0.2.0
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