def __init__(self, src, ax, label="", dims="xyz", bones=None):
"""
:param src:
:param label:
:param dims: xyz if 3D, xy if 2D
bones - array of (markerA, markerB), bones that connect individual markers
"""
if bones is None: bones = []
self.data, self.metadata = load_qtm_data(src, multi_index=True)
self.label = label
self.dims = dims
self.marker_names = self.metadata["marker_names"]
self.frame = -1 # for moving through frames
self.markers = []
for marker_name in self.marker_names:
marker = Marker(
ax,
data=[self.data[marker_name][dim].values for dim in self.dims],
name=marker_name,
dims=self.dims)
self.markers.append(marker)
self.get_bounds() # identify
def test_multi_index():
data, _ = qualisys.load_qtm_data('example_data.txt', multi_index=True)
assert data.columns.identical(pd.MultiIndex.from_product(
(['RIGHT_KNEE', 'right_ankle'], ['x', 'y', 'z']),
names=['marker', 'dim']
))
yield check_index, data
yield check_columns, data
def test_data():
data, _ = qualisys.load_qtm_data('example_data.txt')
assert set(data) == {'RIGHT_KNEE', 'right_ankle'}
assert data.axes[1].dtype == 'float64'
assert np.all(data.axes[2] == ['x', 'y', 'z'])
for _, frame in data.iteritems():
yield check_index, frame
yield check_columns, frame
def test_datetime_index_multi_index():
data, _ = qualisys.load_qtm_data('example_data.txt', multi_index=True, datetime_index=True)
yield check_datetime_index, data
def test_datetime_index():
data, _ = qualisys.load_qtm_data('example_data.txt', datetime_index=True)
for _, frame in data.iteritems():
yield check_datetime_index, frame
