def test_numpy_inplace():
ary = np.array([[1, 10], [2, 9], [3, 8], [4, 7], [5, 6], [6, 5]])
standardizing(ary, [1])
ary = ary_expc = np.array([[1, 1.46385], [2, 0.87831], [3, 0.29277], [4, -0.29277], [5, -0.87831], [6, -1.46385]])
np.testing.assert_allclose(ary, ary_expc, rtol=1e-03)
def test_numpy_inplace():
ary = np.array([[1, 10], [2, 9], [3, 8], [4, 7], [5, 6], [6, 5]])
standardizing(ary, [1])
ary = ary_expc = np.array([[1, 1.46385],
[2, 0.87831],
[3, 0.29277],
[4, -0.29277],
[5, -0.87831],
[6, -1.46385]])
np.testing.assert_allclose(ary, ary_expc, rtol=1e-03)
def test_numpy_single_dim():
ary = np.array([1, 2, 3, 4, 5, 6])
ary_actu = standardizing(ary, [0])
ary_expc = np.array([[-1.46385], [-0.87831], [-0.29277], [0.29277], [0.87831], [1.46385]])
np.testing.assert_allclose(ary_actu, ary_expc, rtol=1e-03)
def test_numpy_single_feat():
ary = np.array([[1, 10], [2, 9], [3, 8], [4, 7], [5, 6], [6, 5]])
ary_actu = standardizing(ary, [1])
ary_expc = np.array([[1.46385], [0.87831], [0.29277], [-0.29277], [-0.87831], [-1.46385]])
np.testing.assert_allclose(ary_actu, ary_expc, rtol=1e-03)
def test_standardizing_columnerror():
try:
ary = np.array([[1, 2], [3, 4]])
out = standardizing(ary, [1, "s2"])
except AttributeError:
pass
else:
raise AssertionError
def test_standardizing_arrayerror():
try:
ary = [[1, 2], [3, 4]]
out = standardizing(ary, [1, "s2"])
except AttributeError:
pass
else:
raise AssertionError
def test_standardizing_columnerror():
try:
ary = np.array([[1, 2], [3, 4]])
out = standardizing(ary, [1, 's2'])
except AttributeError:
pass
else:
raise AssertionError
def test_standardizing_arrayerror():
try:
ary = [[1, 2], [3, 4]]
out = standardizing(ary, [1, 's2'])
except AttributeError:
pass
else:
raise AssertionError
def test_numpy_single_dim():
ary = np.array([1, 2, 3, 4, 5, 6])
ary_actu = standardizing(ary, [0])
ary_expc = np.array([[-1.46385],
[-0.87831],
[-0.29277],
[0.29277],
[0.87831],
[1.46385]])
np.testing.assert_allclose(ary_actu, ary_expc, rtol=1e-03)
def test_numpy_single_feat():
ary = np.array([[1, 10], [2, 9], [3, 8], [4, 7], [5, 6], [6, 5]])
ary_actu = standardizing(ary, [1])
ary_expc = np.array([[1.46385],
[0.87831],
[0.29277],
[-0.29277],
[-0.87831],
[-1.46385]])
np.testing.assert_allclose(ary_actu, ary_expc, rtol=1e-03)
def test_numpy_standardizing():
ary = np.array([[1, 10], [2, 9], [3, 8], [4, 7], [5, 6], [6, 5]])
ary_actu = standardizing(ary, columns=[0, 1])
ary_expc = np.array([[-1.46385, 1.46385],
[-0.87831, 0.87831],
[-0.29277, 0.29277],
[0.29277, -0.29277],
[0.87831, -0.87831],
[1.46385, -1.46385]])
np.testing.assert_allclose(ary_actu, ary_expc, rtol=1e-03)
def test_pandas_standardizing():
s1 = pd.Series([1, 2, 3, 4, 5, 6], index=(range(6)))
s2 = pd.Series([10, 9, 8, 7, 6, 5], index=(range(6)))
df = pd.DataFrame(s1, columns=['s1'])
df['s2'] = s2
df_out1 = standardizing(df, ['s1', 's2'])
ary_out1 = np.array([[-1.46385, 1.46385],
[-0.87831, 0.87831],
[-0.29277, 0.29277],
[0.29277, -0.29277],
[0.87831, -0.87831],
[1.46385, -1.46385]])
np.testing.assert_allclose(df_out1.values, ary_out1, rtol=1e-03)
def test_numpy_standardizing():
ary = np.array([[1, 10], [2, 9], [3, 8], [4, 7], [5, 6], [6, 5]])
ary_actu = standardizing(ary, columns=[0, 1])
ary_expc = np.array(
[
[-1.46385, 1.46385],
[-0.87831, 0.87831],
[-0.29277, 0.29277],
[0.29277, -0.29277],
[0.87831, -0.87831],
[1.46385, -1.46385],
]
)
np.testing.assert_allclose(ary_actu, ary_expc, rtol=1e-03)
def test_pandas_standardizing():
s1 = pd.Series([1, 2, 3, 4, 5, 6], index=(range(6)))
s2 = pd.Series([10, 9, 8, 7, 6, 5], index=(range(6)))
df = pd.DataFrame(s1, columns=["s1"])
df["s2"] = s2
df_out1 = standardizing(df, ["s1", "s2"])
ary_out1 = np.array(
[
[-1.46385, 1.46385],
[-0.87831, 0.87831],
[-0.29277, 0.29277],
[0.29277, -0.29277],
[0.87831, -0.87831],
[1.46385, -1.46385],
]
)
np.testing.assert_allclose(df_out1.values, ary_out1, rtol=1e-03)
