pyCGM_Single.pyCGM.combineDataDict¶
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pyCGM_Single.pyCGM.
combineDataDict
(values, labels)¶ Converts two lists of values and labels to a dictionary.
- Parameters
- valuesarray
Array of motion data values. Indices of values correspond to frames in the trial. Each element is an array of x, y, and z coordinate values.
- labelsarray
List of marker names.
- Returns
- dataarray
Array of dictionaries of motion capture data. Keys are marker names and values are arrays of x, y, and z coordinate values. Array indices correspond to frames of the trial.
Examples
Example for three markers and two frames of trial.
>>> from numpy import array_equal >>> labels = ['RFHD', 'LFHD', 'LBHD'] >>> values = [[[ 325.83, 402.55, 1722.50], ... [ 184.55, 409.69, 1721.34], ... [ 197.86, 251.29, 1696.90]], ... [[ 326.83, 403.55, 1723.50], ... [ 185.55, 408.69, 1722.34], ... [ 198.86, 252.29, 1697.90]]] >>> result = combineDataDict(values, labels) >>> expected = [{'RFHD': [325.83, 402.55, 1722.50], ... 'LFHD': [184.55, 409.69, 1721.34], ... 'LBHD': [197.86, 251.29, 1696.90]}, ... {'RFHD': [326.83, 403.55, 1723.50], ... 'LFHD': [185.55, 408.69, 1722.34], ... 'LBHD': [198.86, 252.29, 1697.90]}] >>> flag = True # False if any values are not equal >>> for i in range(len(result)): ... for key in result[i]: ... if (not array_equal(result[i][key], expected[i][key])): ... flag = False >>> flag True