def test_ContinuoustoCategory_chained_float_fixed():
nc = 6
nr = 1000000
delta = 0.1
farr = np.arange(0, (nr * delta * nc), delta, dtype=float).reshape(nr, nc)
toDataFrame(farr, labels=[]).toContinuousCategory(quantile=False,
nbin=3,
drop=False)
def test_toDatetimeComponents_make_4feature():
from datetime import datetime, timedelta
darr = np.arange(datetime(1751, 7, 1), datetime(2015, 7, 1),
timedelta(days=1)).reshape(24106, 4)
rc = 24106
cc = 52
assert toDataFrame(
darr, labels=[]).toDatetimeComponents(inplace=False).shape == (rc, cc)
def test_toDataFrame_csr_kinky():
r = 3
c = 3
indptr = np.array([0, 2, 3, 6])
indices = np.array([0, 2, 2, 0, 1, 2])
data = np.array([1, 2, 3, 4, 5, 6])
csr = scipy.sparse.csr_matrix((data, indices, indptr),
shape=(3, 3)).todense()
assert toDataFrame(csr, labels=[]).toDataFrame().shape == (r, c)
def test_toDatetimeComponents_make_1feature():
from datetime import datetime, timedelta
rc = 94598
cc = 1
acc = 13
darr = np.arange(datetime(1751, 7, 1), datetime(2010, 7, 1),
timedelta(days=1)).reshape(rc, cc)
assert toDataFrame(
darr, labels=[]).toDatetimeComponents(inplace=False).shape == (rc, acc)
def test_2d_named_kinky(X, cnv):
assert toDataFrame(X, labels=cnv).toDataFrame().columns[2] == cnv[2]
def test_2d_named_too_many_args(X, cnv):
with pytest.raises(TypeError):
toDataFrame(X, cnv, cnv, X, 5, 6).columns[2] == cnv[2]
def test_toDataFrame_list_1d():
assert len(toDataFrame([[1, 2, 3]]).columns) == 3
def test_df_labels_set(X, cnv):
assert (toDataFrame(pd.DataFrame(X, columns=cnv),
labels=cnv).columns == cnv).all()
def test_3dArray_numpy(X):
with pytest.raises(ValueError):
toDataFrame(np.reshape(X, (-1, -1, 1)))
def test_Class_init_BadArg():
with pytest.raises(TypeError):
toDataFrame(fred=1)
def test_toDataFrame_series():
r = 100
c = 1
arr = np.ndarray(shape=(r), dtype=float, order="F")
s = pd.Series(arr)
assert toDataFrame(s, labels=[]).shape == (r, c)
def test_toDataFrame_array3d_error():
r = 100
c = 10
arr = np.ndarray(shape=(2, r, c), dtype=float, order="F")
with pytest.raises(PasoError):
assert toDataFrame(arr, labels=[]).shape == (r, c)
def test_toDataFrame_array():
r = 100
c = 10
arr = np.ndarray(shape=(r, c), dtype=float, order="F")
assert toDataFrame(arr).shape == (r, c)
def test_toDataFrame_list_2d():
assert toDataFrame([[1, 2, 3], [4, 5, 5]]).shape == (2, 3)
def test_Blank_Arg_Transform():
with pytest.raises(TypeError):
toDataFrame()
def test_Empty_list_Arg_Transform():
with pytest.raises(PasoError):
toDataFrame([])
def test_2d_numpy_labels_method_(X, cn):
assert toDataFrame(X, labels=cn).toDataFrame().columns[1] == "k"
def test_ContinuoustoCategory_chained_float_unique_1_ERROR():
farr = np.ndarray(shape=(1000000, 4), dtype=float, order="F")
with pytest.raises(IndexError):
toDataFrame(farr, labels=[]).toContinuousCategory(drop=False)
def test_2d_numpy_labels_default(X, cn):
assert toDataFrame(X).columns[1] == "c_1"
def test_1d_numpy_bad_arg(y, cn):
with pytest.raises(PasoError):
toDataFrame(y)
def test_toDataFrame_list():
assert len(toDataFrame([1, 2, 3], labels=[]).columns) == 1
