def test_binop(closed, operand, array_type, func):
arr = sc.StairsArray([s1(closed), s2(closed)])
other = {
"scalar": 2.5,
"Stairs": s3(closed),
"array": sc.StairsArray([s3(closed), s4(closed)]),
}[operand]
if operand == "array":
expected = sc.StairsArray(
[func(s1(closed), s3(closed)),
func(s2(closed), s4(closed))])
else:
expected = sc.StairsArray(
[func(s1(closed), other),
func(s2(closed), other)])
if array_type == "Series":
arr = pd.Series(arr)
if operand == "array":
other = pd.Series(other)
expected = pd.Series(expected)
result = func(arr, other)
assert type(result) == type(expected)
if array_type == "Series":
assert str(result.dtype) == "Stairs"
assert all([a.identical(b) for a, b in zip(result, expected)])
assert all([a.closed == closed for a in result])
def test_StairsArray_relational(date_func, relational):
ia1 = sc.StairsArray([s3(date_func), s4(date_func)])
ia2 = sc.StairsArray([s4(date_func), s3(date_func)])
result = getattr(ia1, relational)(ia2)
expected = sc.StairsArray(
[getattr(x1, relational)(x2) for x1, x2 in zip(ia1, ia2)])
assert (result == expected).bool().all()
def data():
"""
Length-100 array for this type.
* data[0] and data[1] should both be non missing
* data[0] and data[1] should not be equal
"""
return sc.StairsArray([sc.Stairs().layer(0, i + 1) for i in range(100)])
def test_StairsArray_construction(date_func, klass):
list_data = [s1(date_func), s2(date_func)]
if klass == dict:
data = dict(enumerate(list_data))
else:
data = klass(list_data)
result = sc.StairsArray(data)
for x, y in zip(result, list_data):
assert x.identical(y)
def perform_array_func(how, func_str, arr, *args, **kwargs):
obj = {
"toplevel": sc,
"series": pd.Series(arr, dtype="Stairs"),
"accessor": pd.Series(arr, dtype="Stairs").sc,
"array": sc.StairsArray(arr),
}[how]
if how == "toplevel":
args = [arr] + list(args)
return getattr(obj, func_str)(*args, **kwargs)
def data_for_grouping():
"""
Data for factorization, grouping, and unique tests.
Expected to be like [B, B, NA, NA, A, A, B, C]
Where A < B < C and NA is missing
"""
return sc.StairsArray([
sc.Stairs().layer(1, 3),
sc.Stairs().layer(1, 3),
None,
None,
sc.Stairs().layer(2, 4),
sc.Stairs().layer(2, 4),
sc.Stairs().layer(1, 3),
sc.Stairs().layer(1, 4),
])
def test_StairsArray_plot_exception(IS1, IS2):
ia = sc.StairsArray([IS1, IS2])
_, ax = plt.subplots()
with pytest.raises(ValueError):
ia.plot(ax, ["s1"])
def test_StairsArray_plot(IS1, IS2):
ia = sc.StairsArray([IS1, IS2])
ia.plot()
def test_StairsArray_construction2(IS1, IS2):
with pytest.raises(ValueError):
sc.StairsArray(np.array([[sc.Stairs()], [sc.Stairs()]]))
def test_StairsArray_take(IS1, IS2):
ia = sc.StairsArray([IS1, IS2, IS1])
ia2 = ia.take((0, 2))
assert (ia2 == sc.StairsArray([IS1, IS1])).bool().all()
def test_StairsArray_copy(IS1, IS2):
ia = sc.StairsArray([IS1, IS2])
ia2 = ia.copy()
assert (ia == ia2).bool().all() and (id(ia) != id(ia2))
def test_StairsArray_get_exception(IS1, IS2):
ia = sc.StairsArray([IS1, IS2, IS1])[1:]
with pytest.raises(TypeError):
ia[1.5]
def test_StairsArray_set2(IS1, IS2):
ia = sc.StairsArray([IS1, IS1, IS1])
ia[1:] = IS2
assert (ia == sc.StairsArray([IS1, IS2, IS2])).bool().all()
def test_StairsArray_slice(IS1, IS2):
ia = sc.StairsArray([IS1, IS2, IS1])[1:]
assert (ia == sc.StairsArray([IS2, IS1])).bool().all()
def test_StairsArray_construction3():
with pytest.raises(TypeError):
sc.StairsArray("Stairs")
def test_StairsArray_isna(IS1):
ia = sc.StairsArray([IS1, None, IS1])
assert (ia.isna() == np.array([False, True, False])).all()
def test_StairsArray_concat_same_type(IS1):
# the _concat_same_type method is called with shift()
sc.StairsArray([IS1, None, IS1]).shift()
def data_missing():
"""Length-2 array with [NA, Valid]"""
return sc.StairsArray([None, sc.Stairs()])
def test_StairsArray_construction1(IS1, IS2):
sa1 = sc.StairsArray([IS1, IS2])
sa2 = sc.StairsArray(sa1)
assert (sa1 == sa2).bool().all()
