def test_distance_map_1d(self):
b, w, nelecs = self.b, self.w, self.nelecs
arg_sets = itools.product(b, w, nelecs)
for bb, ww, n in arg_sets:
a = randint(1, n + 1, size=n)
em = ElectrodeMap(a)
if ww and bb and em.values.size > 1:
dm = em.distance_map(ww, bb)
self.assertIsNotNone(dm)
else:
self.assertRaises(ValueError, em.distance_map, ww, bb)
def test_distance_map_2d(self):
nshanks = randint(2, 8)
b, w, nelecs = self.b, np.zeros_like(self.b), self.nelecs
arg_sets = itools.product(b, w, nelecs, [nshanks])
for bb, ww, n, nsh in arg_sets:
a = randint(1, n + 1, size=(n, nsh))
em = ElectrodeMap(a)
if ww and bb:
dm = em.distance_map(ww, bb)
self.assertIsNotNone(dm)
else:
self.assertRaises(AssertionError, em.distance_map, ww, bb)
self.assertIsNotNone(em)
def setUp(self):
sp = create_spike_df()
thr = sp.threshold(4 * sp.std())
clr = sp.clear_refrac(thr)
binned = sp.bin(clr, binsize=10)
self.xc = sp.xcorr(binned, maxlags=10)
rawmap = np.array([1, 3, 2, 6, 7, 4, 8, 5, 13, 10, 12, 9, 14, 16, 11, 15]).reshape(4, 4)
self.elecmap = ElectrodeMap(rawmap)
self.dm = self.elecmap.distance_map(50, 125)
class TestDistanceMapWithCrossCorrelation(TestCase):
def setUp(self):
sp = create_spike_df()
thr = sp.threshold(4 * sp.std())
clr = sp.clear_refrac(thr)
binned = sp.bin(clr, binsize=10)
self.xc = sp.xcorr(binned, maxlags=10)
rawmap = np.array([1, 3, 2, 6, 7, 4, 8, 5, 13, 10, 12, 9, 14, 16, 11, 15]).reshape(4, 4)
self.elecmap = ElectrodeMap(rawmap)
self.dm = self.elecmap.distance_map(50, 125)
def test_set_index(self):
xcc = self.xc.T.set_index(self.dm, append=True).T
lag0_tmp = xcc.ix[0].dropna().sortlevel(level=4)
lag0 = lag0_tmp.reset_index(level=range(5), drop=True)
self.assertIsNotNone(lag0)
