def test_iqr_empty(self):
empty = np.empty(0)
assert np.isnan(scale.iqr(empty))
empty = np.empty((10, 100, 0))
assert_equal(scale.iqr(empty, axis=1), np.empty((10, 0)))
empty = np.empty((100, 100, 0, 0))
assert_equal(scale.iqr(empty, axis=-1), np.empty((100, 100, 0)))
def test_qn_empty(self):
empty = np.empty(0)
assert np.isnan(scale.qn_scale(empty))
empty = np.empty((10, 100, 0))
assert_equal(scale.qn_scale(empty, axis=1), np.empty((10, 0)))
empty = np.empty((100, 100, 0, 0))
assert_equal(scale.qn_scale(empty, axis=-1), np.empty((100, 100, 0)))
empty = np.empty(shape=())
with pytest.raises(ValueError):
scale.iqr(empty)
def test_iqr(self):
assert_almost_equal(scale.iqr(self.chem), 0.68570, DECIMAL)
def test_axisneg1(self):
m = scale.iqr(self.X, axis=-1)
assert_equal(m.shape, (40, 10))
def test_axis2(self):
m = scale.iqr(self.X, axis=2)
assert_equal(m.shape, (40, 10))
def test_axis1(self):
m = scale.iqr(self.X, axis=1)
assert_equal(m.shape, (40, 30))
def test_axis0(self):
m = scale.iqr(self.X, axis=0)
assert_equal(m.shape, (10, 30))
def test_iqr(self):
m = scale.iqr(self.X)
assert_equal(m.shape, (10, ))
def test_iqr_center(self):
n = scale.iqr(self.X, center=0)
assert_equal(n.shape, (10,))
