pyCGM_Single.pycgmIO.dataAsArray

pyCGM_Single.pycgmIO.dataAsArray(data)

Converts a dictionary of markers and their corresponding x, y, and z coordinate values to an array of dictionaries.

Assumes all markers have the same length of data.

Parameters

datadict

Dictionary of motion capture data. Keys are marker names and values are lists of x, y, and z coordinate arrays. Indices of each value correspond to frames in the trial.

Returns

dataArrayarray

List of dictionaries. Indices of dataArray correspond to frames in the trial. Keys are marker names, and values are markers’ x, y, and z coordinates in that frame.

Examples

This example uses a loop and numpy.array_equal to test the equality of individual dictionary elements since python does not guarantee the order of dictionary elements.

Example for motion capture data for 3 markers, each with data for one frame of trial.

>>> from numpy import array, array_equal
>>> data = {'RFHD': [array([325.83]), array([402.55]), array([1722.50])],
...         'LFHD': [array([184.55]), array([409.69]), array([1721.34])],
...         'LBHD': [array([197.86]), array([251.29]), array([1696.90])]}
>>> result = dataAsArray(data)
>>> expected = [{'RFHD': array([325.83, 402.55, 1722.50]),
...              'LFHD': array([184.55, 409.69, 1721.34]),
...              'LBHD': array([197.86, 251.29, 1696.90])}]
>>> 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