def rankdata(*args, **kwargs):
return scipy_rankdata(*args, **kwargs)
def test_identical_discrete(self):
for _ in xrange(1000):
data = np.random.randint(0, 1000, size=1000).astype(float)
self.assertTrue((rankdata(data) == scipy_rankdata(data)).all())
def test_identical_discrete(self):
for _ in xrange(1000):
data = np.random.randint(0, 1000, size=1000).astype(float)
self.assertTrue((rankdata(data) == scipy_rankdata(data)).all())
def test_identical_continuous(self):
for _ in xrange(1000):
data = np.random.uniform(0, 1000, size=1000)
self.assertTrue((rankdata(data) == scipy_rankdata(data)).all())
def test_identical_continuous(self):
for _ in xrange(1000):
data = np.random.uniform(0, 1000, size=1000)
self.assertTrue((rankdata(data) == scipy_rankdata(data)).all())
