def test_error_invalid_values(data, all_arithmetic_operators):
op = all_arithmetic_operators
s = pd.Series(data)
ops = getattr(s, op)
# invalid scalars
msg = (
r"(:?can only perform ops with numeric values)"
r"|(:?IntegerArray cannot perform the operation mod)"
)
with pytest.raises(TypeError, match=msg):
ops("foo")
with pytest.raises(TypeError, match=msg):
ops(pd.Timestamp("20180101"))
# invalid array-likes
with pytest.raises(TypeError, match=msg):
ops(pd.Series("foo", index=s.index))
if op != "__rpow__":
# TODO(extension)
# rpow with a datetimelike coerces the integer array incorrectly
msg = (
"can only perform ops with numeric values|"
"cannot perform .* with this index type: DatetimeArray|"
"Addition/subtraction of integers and integer-arrays "
"with DatetimeArray is no longer supported. *"
)
with pytest.raises(TypeError, match=msg):
ops(pd.Series(pd.date_range("20180101", periods=len(s))))
def test_error_invalid_values(data, all_arithmetic_operators):
op = all_arithmetic_operators
s = pd.Series(data)
ops = getattr(s, op)
# invalid scalars
msg = (r"(:?can only perform ops with numeric values)"
r"|(:?IntegerArray cannot perform the operation mod)")
with pytest.raises(TypeError, match=msg):
ops("foo")
with pytest.raises(TypeError, match=msg):
ops(pd.Timestamp("20180101"))
# invalid array-likes
with pytest.raises(TypeError, match=msg):
ops(pd.Series("foo", index=s.index))
msg = "|".join([
"can only perform ops with numeric values",
"cannot perform .* with this index type: DatetimeArray",
"Addition/subtraction of integers and integer-arrays "
"with DatetimeArray is no longer supported. *",
])
with pytest.raises(TypeError, match=msg):
ops(pd.Series(pd.date_range("20180101", periods=len(s))))
def test_error_invalid_values(data, all_arithmetic_operators):
op = all_arithmetic_operators
s = pd.Series(data)
ops = getattr(s, op)
# invalid scalars
msg = "|".join([
r"can only perform ops with numeric values",
r"IntegerArray cannot perform the operation mod",
r"unsupported operand type",
r"can only concatenate str \(not \"int\"\) to str",
"not all arguments converted during string",
"ufunc '.*' not supported for the input types, and the inputs could not",
"ufunc '.*' did not contain a loop with signature matching types",
"Addition/subtraction of integers and integer-arrays with Timestamp",
])
with pytest.raises(TypeError, match=msg):
ops("foo")
with pytest.raises(TypeError, match=msg):
ops(pd.Timestamp("20180101"))
# invalid array-likes
str_ser = pd.Series("foo", index=s.index)
# with pytest.raises(TypeError, match=msg):
if all_arithmetic_operators in [
"__mul__",
"__rmul__",
]: # (data[~data.isna()] >= 0).all():
res = ops(str_ser)
expected = pd.Series(["foo" * x for x in data], index=s.index)
tm.assert_series_equal(res, expected)
else:
with pytest.raises(TypeError, match=msg):
ops(str_ser)
msg = "|".join([
"can only perform ops with numeric values",
"cannot perform .* with this index type: DatetimeArray",
"Addition/subtraction of integers and integer-arrays "
"with DatetimeArray is no longer supported. *",
"unsupported operand type",
r"can only concatenate str \(not \"int\"\) to str",
"not all arguments converted during string",
"cannot subtract DatetimeArray from ndarray",
])
with pytest.raises(TypeError, match=msg):
ops(pd.Series(pd.date_range("20180101", periods=len(s))))
def test_error(self, data, all_arithmetic_operators):
# invalid ops
op = all_arithmetic_operators
s = pd.Series(data)
ops = getattr(s, op)
opa = getattr(data, op)
# invalid scalars
# TODO: work out how to make this more specific/test for the two
# different possible errors here
with pytest.raises(Exception):
ops('foo')
# TODO: work out how to make this more specific/test for the two
# different possible errors here
with pytest.raises(Exception):
ops(pd.Timestamp('20180101'))
# invalid array-likes
# TODO: work out how to make this more specific/test for the two
# different possible errors here
with pytest.raises(Exception):
ops(pd.Series('foo', index=s.index))
# 2d
with pytest.raises(KeyError):
opa(pd.DataFrame({'A': s}))
with pytest.raises(ValueError):
opa(np.arange(len(s)).reshape(-1, len(s)))
def test_error(self, data, all_arithmetic_operators):
# invalid ops
op = all_arithmetic_operators
s = pd.Series(data)
ops = getattr(s, op)
opa = getattr(data, op)
# invalid scalars
# TODO: work out how to make this more specific/test for the two
# different possible errors here
with pytest.raises(Exception):
ops("foo")
# TODO: work out how to make this more specific/test for the two
# different possible errors here
with pytest.raises(Exception):
ops(pd.Timestamp("20180101"))
# invalid array-likes
# TODO: work out how to make this more specific/test for the two
# different possible errors here
#
# This won't always raise exception, eg for foo % 3 m
if "mod" not in op:
with pytest.raises(Exception):
ops(pd.Series("foo", index=s.index))
# 2d
with pytest.raises(KeyError):
opa(pd.DataFrame({"A": s}))
with pytest.raises(ValueError):
opa(np.arange(len(s)).reshape(-1, len(s)))
