mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-12-24 22:44:56 +01:00
377 lines
12 KiB
Python
377 lines
12 KiB
Python
|
# Arithmetic tests for DataFrame/Series/Index/Array classes that should
|
||
|
|
# behave identically.
|
||
|
|
# Specifically for object dtype
|
||
|
|
import datetime
|
||
|
|
from decimal import Decimal
|
||
|
|
import operator
|
||
|
|
|
||
|
|
import numpy as np
|
||
|
|
import pytest
|
||
|
|
|
||
|
|
import pandas as pd
|
||
|
|
from pandas import Series, Timestamp
|
||
|
|
import pandas._testing as tm
|
||
|
|
from pandas.core import ops
|
||
|
|
|
||
|
|
# ------------------------------------------------------------------
|
||
|
|
# Comparisons
|
||
|
|
|
||
|
|
|
||
|
|
class TestObjectComparisons:
|
||
|
|
def test_comparison_object_numeric_nas(self):
|
||
|
|
ser = Series(np.random.randn(10), dtype=object)
|
||
|
|
shifted = ser.shift(2)
|
||
|
|
|
||
|
|
ops = ["lt", "le", "gt", "ge", "eq", "ne"]
|
||
|
|
for op in ops:
|
||
|
|
func = getattr(operator, op)
|
||
|
|
|
||
|
|
result = func(ser, shifted)
|
||
|
|
expected = func(ser.astype(float), shifted.astype(float))
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
def test_object_comparisons(self):
|
||
|
|
ser = Series(["a", "b", np.nan, "c", "a"])
|
||
|
|
|
||
|
|
result = ser == "a"
|
||
|
|
expected = Series([True, False, False, False, True])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = ser < "a"
|
||
|
|
expected = Series([False, False, False, False, False])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = ser != "a"
|
||
|
|
expected = -(ser == "a")
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("dtype", [None, object])
|
||
|
|
def test_more_na_comparisons(self, dtype):
|
||
|
|
left = Series(["a", np.nan, "c"], dtype=dtype)
|
||
|
|
right = Series(["a", np.nan, "d"], dtype=dtype)
|
||
|
|
|
||
|
|
result = left == right
|
||
|
|
expected = Series([True, False, False])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = left != right
|
||
|
|
expected = Series([False, True, True])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = left == np.nan
|
||
|
|
expected = Series([False, False, False])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = left != np.nan
|
||
|
|
expected = Series([True, True, True])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
# ------------------------------------------------------------------
|
||
|
|
# Arithmetic
|
||
|
|
|
||
|
|
|
||
|
|
class TestArithmetic:
|
||
|
|
|
||
|
|
# TODO: parametrize
|
||
|
|
def test_pow_ops_object(self):
|
||
|
|
# GH#22922
|
||
|
|
# pow is weird with masking & 1, so testing here
|
||
|
|
a = Series([1, np.nan, 1, np.nan], dtype=object)
|
||
|
|
b = Series([1, np.nan, np.nan, 1], dtype=object)
|
||
|
|
result = a ** b
|
||
|
|
expected = Series(a.values ** b.values, dtype=object)
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = b ** a
|
||
|
|
expected = Series(b.values ** a.values, dtype=object)
|
||
|
|
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("op", [operator.add, ops.radd])
|
||
|
|
@pytest.mark.parametrize("other", ["category", "Int64"])
|
||
|
|
def test_add_extension_scalar(self, other, box_with_array, op):
|
||
|
|
# GH#22378
|
||
|
|
# Check that scalars satisfying is_extension_array_dtype(obj)
|
||
|
|
# do not incorrectly try to dispatch to an ExtensionArray operation
|
||
|
|
|
||
|
|
arr = pd.Series(["a", "b", "c"])
|
||
|
|
expected = pd.Series([op(x, other) for x in arr])
|
||
|
|
|
||
|
|
arr = tm.box_expected(arr, box_with_array)
|
||
|
|
expected = tm.box_expected(expected, box_with_array)
|
||
|
|
|
||
|
|
result = op(arr, other)
|
||
|
|
tm.assert_equal(result, expected)
|
||
|
|
|
||
|
|
def test_objarr_add_str(self, box):
|
||
|
|
ser = pd.Series(["x", np.nan, "x"])
|
||
|
|
expected = pd.Series(["xa", np.nan, "xa"])
|
||
|
|
|
||
|
|
ser = tm.box_expected(ser, box)
|
||
|
|
expected = tm.box_expected(expected, box)
|
||
|
|
|
||
|
|
result = ser + "a"
|
||
|
|
tm.assert_equal(result, expected)
|
||
|
|
|
||
|
|
def test_objarr_radd_str(self, box):
|
||
|
|
ser = pd.Series(["x", np.nan, "x"])
|
||
|
|
expected = pd.Series(["ax", np.nan, "ax"])
|
||
|
|
|
||
|
|
ser = tm.box_expected(ser, box)
|
||
|
|
expected = tm.box_expected(expected, box)
|
||
|
|
|
||
|
|
result = "a" + ser
|
||
|
|
tm.assert_equal(result, expected)
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"data",
|
||
|
|
[
|
||
|
|
[1, 2, 3],
|
||
|
|
[1.1, 2.2, 3.3],
|
||
|
|
[Timestamp("2011-01-01"), Timestamp("2011-01-02"), pd.NaT],
|
||
|
|
["x", "y", 1],
|
||
|
|
],
|
||
|
|
)
|
||
|
|
@pytest.mark.parametrize("dtype", [None, object])
|
||
|
|
def test_objarr_radd_str_invalid(self, dtype, data, box_with_array):
|
||
|
|
ser = Series(data, dtype=dtype)
|
||
|
|
|
||
|
|
ser = tm.box_expected(ser, box_with_array)
|
||
|
|
msg = (
|
||
|
|
"can only concatenate str|"
|
||
|
|
"did not contain a loop with signature matching types|"
|
||
|
|
"unsupported operand type|"
|
||
|
|
"must be str"
|
||
|
|
)
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
"foo_" + ser
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("op", [operator.add, ops.radd, operator.sub, ops.rsub])
|
||
|
|
def test_objarr_add_invalid(self, op, box_with_array):
|
||
|
|
# invalid ops
|
||
|
|
box = box_with_array
|
||
|
|
|
||
|
|
obj_ser = tm.makeObjectSeries()
|
||
|
|
obj_ser.name = "objects"
|
||
|
|
|
||
|
|
obj_ser = tm.box_expected(obj_ser, box)
|
||
|
|
msg = "can only concatenate str|unsupported operand type|must be str"
|
||
|
|
with pytest.raises(Exception, match=msg):
|
||
|
|
op(obj_ser, 1)
|
||
|
|
with pytest.raises(Exception, match=msg):
|
||
|
|
op(obj_ser, np.array(1, dtype=np.int64))
|
||
|
|
|
||
|
|
# TODO: Moved from tests.series.test_operators; needs cleanup
|
||
|
|
def test_operators_na_handling(self):
|
||
|
|
ser = Series(["foo", "bar", "baz", np.nan])
|
||
|
|
result = "prefix_" + ser
|
||
|
|
expected = pd.Series(["prefix_foo", "prefix_bar", "prefix_baz", np.nan])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = ser + "_suffix"
|
||
|
|
expected = pd.Series(["foo_suffix", "bar_suffix", "baz_suffix", np.nan])
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
# TODO: parametrize over box
|
||
|
|
@pytest.mark.parametrize("dtype", [None, object])
|
||
|
|
def test_series_with_dtype_radd_timedelta(self, dtype):
|
||
|
|
# note this test is _not_ aimed at timedelta64-dtyped Series
|
||
|
|
ser = pd.Series(
|
||
|
|
[pd.Timedelta("1 days"), pd.Timedelta("2 days"), pd.Timedelta("3 days")],
|
||
|
|
dtype=dtype,
|
||
|
|
)
|
||
|
|
expected = pd.Series(
|
||
|
|
[pd.Timedelta("4 days"), pd.Timedelta("5 days"), pd.Timedelta("6 days")]
|
||
|
|
)
|
||
|
|
|
||
|
|
result = pd.Timedelta("3 days") + ser
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
result = ser + pd.Timedelta("3 days")
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
# TODO: cleanup & parametrize over box
|
||
|
|
def test_mixed_timezone_series_ops_object(self):
|
||
|
|
# GH#13043
|
||
|
|
ser = pd.Series(
|
||
|
|
[
|
||
|
|
pd.Timestamp("2015-01-01", tz="US/Eastern"),
|
||
|
|
pd.Timestamp("2015-01-01", tz="Asia/Tokyo"),
|
||
|
|
],
|
||
|
|
name="xxx",
|
||
|
|
)
|
||
|
|
assert ser.dtype == object
|
||
|
|
|
||
|
|
exp = pd.Series(
|
||
|
|
[
|
||
|
|
pd.Timestamp("2015-01-02", tz="US/Eastern"),
|
||
|
|
pd.Timestamp("2015-01-02", tz="Asia/Tokyo"),
|
||
|
|
],
|
||
|
|
name="xxx",
|
||
|
|
)
|
||
|
|
tm.assert_series_equal(ser + pd.Timedelta("1 days"), exp)
|
||
|
|
tm.assert_series_equal(pd.Timedelta("1 days") + ser, exp)
|
||
|
|
|
||
|
|
# object series & object series
|
||
|
|
ser2 = pd.Series(
|
||
|
|
[
|
||
|
|
pd.Timestamp("2015-01-03", tz="US/Eastern"),
|
||
|
|
pd.Timestamp("2015-01-05", tz="Asia/Tokyo"),
|
||
|
|
],
|
||
|
|
name="xxx",
|
||
|
|
)
|
||
|
|
assert ser2.dtype == object
|
||
|
|
exp = pd.Series([pd.Timedelta("2 days"), pd.Timedelta("4 days")], name="xxx")
|
||
|
|
tm.assert_series_equal(ser2 - ser, exp)
|
||
|
|
tm.assert_series_equal(ser - ser2, -exp)
|
||
|
|
|
||
|
|
ser = pd.Series(
|
||
|
|
[pd.Timedelta("01:00:00"), pd.Timedelta("02:00:00")],
|
||
|
|
name="xxx",
|
||
|
|
dtype=object,
|
||
|
|
)
|
||
|
|
assert ser.dtype == object
|
||
|
|
|
||
|
|
exp = pd.Series(
|
||
|
|
[pd.Timedelta("01:30:00"), pd.Timedelta("02:30:00")], name="xxx"
|
||
|
|
)
|
||
|
|
tm.assert_series_equal(ser + pd.Timedelta("00:30:00"), exp)
|
||
|
|
tm.assert_series_equal(pd.Timedelta("00:30:00") + ser, exp)
|
||
|
|
|
||
|
|
# TODO: cleanup & parametrize over box
|
||
|
|
def test_iadd_preserves_name(self):
|
||
|
|
# GH#17067, GH#19723 __iadd__ and __isub__ should preserve index name
|
||
|
|
ser = pd.Series([1, 2, 3])
|
||
|
|
ser.index.name = "foo"
|
||
|
|
|
||
|
|
ser.index += 1
|
||
|
|
assert ser.index.name == "foo"
|
||
|
|
|
||
|
|
ser.index -= 1
|
||
|
|
assert ser.index.name == "foo"
|
||
|
|
|
||
|
|
def test_add_string(self):
|
||
|
|
# from bug report
|
||
|
|
index = pd.Index(["a", "b", "c"])
|
||
|
|
index2 = index + "foo"
|
||
|
|
|
||
|
|
assert "a" not in index2
|
||
|
|
assert "afoo" in index2
|
||
|
|
|
||
|
|
def test_iadd_string(self):
|
||
|
|
index = pd.Index(["a", "b", "c"])
|
||
|
|
# doesn't fail test unless there is a check before `+=`
|
||
|
|
assert "a" in index
|
||
|
|
|
||
|
|
index += "_x"
|
||
|
|
assert "a_x" in index
|
||
|
|
|
||
|
|
def test_add(self):
|
||
|
|
index = tm.makeStringIndex(100)
|
||
|
|
expected = pd.Index(index.values * 2)
|
||
|
|
tm.assert_index_equal(index + index, expected)
|
||
|
|
tm.assert_index_equal(index + index.tolist(), expected)
|
||
|
|
tm.assert_index_equal(index.tolist() + index, expected)
|
||
|
|
|
||
|
|
# test add and radd
|
||
|
|
index = pd.Index(list("abc"))
|
||
|
|
expected = pd.Index(["a1", "b1", "c1"])
|
||
|
|
tm.assert_index_equal(index + "1", expected)
|
||
|
|
expected = pd.Index(["1a", "1b", "1c"])
|
||
|
|
tm.assert_index_equal("1" + index, expected)
|
||
|
|
|
||
|
|
def test_sub_fail(self):
|
||
|
|
index = tm.makeStringIndex(100)
|
||
|
|
|
||
|
|
msg = "unsupported operand type|Cannot broadcast"
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
index - "a"
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
index - index
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
index - index.tolist()
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
index.tolist() - index
|
||
|
|
|
||
|
|
def test_sub_object(self):
|
||
|
|
# GH#19369
|
||
|
|
index = pd.Index([Decimal(1), Decimal(2)])
|
||
|
|
expected = pd.Index([Decimal(0), Decimal(1)])
|
||
|
|
|
||
|
|
result = index - Decimal(1)
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
result = index - pd.Index([Decimal(1), Decimal(1)])
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
msg = "unsupported operand type"
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
index - "foo"
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
index - np.array([2, "foo"])
|
||
|
|
|
||
|
|
def test_rsub_object(self):
|
||
|
|
# GH#19369
|
||
|
|
index = pd.Index([Decimal(1), Decimal(2)])
|
||
|
|
expected = pd.Index([Decimal(1), Decimal(0)])
|
||
|
|
|
||
|
|
result = Decimal(2) - index
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
result = np.array([Decimal(2), Decimal(2)]) - index
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
msg = "unsupported operand type"
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
"foo" - index
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match=msg):
|
||
|
|
np.array([True, pd.Timestamp.now()]) - index
|
||
|
|
|
||
|
|
|
||
|
|
class MyIndex(pd.Index):
|
||
|
|
# Simple index subclass that tracks ops calls.
|
||
|
|
|
||
|
|
_calls: int
|
||
|
|
|
||
|
|
@classmethod
|
||
|
|
def _simple_new(cls, values, name=None, dtype=None):
|
||
|
|
result = object.__new__(cls)
|
||
|
|
result._data = values
|
||
|
|
result._index_data = values
|
||
|
|
result._name = name
|
||
|
|
result._calls = 0
|
||
|
|
|
||
|
|
return result._reset_identity()
|
||
|
|
|
||
|
|
def __add__(self, other):
|
||
|
|
self._calls += 1
|
||
|
|
return self._simple_new(self._index_data)
|
||
|
|
|
||
|
|
def __radd__(self, other):
|
||
|
|
return self.__add__(other)
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize(
|
||
|
|
"other",
|
||
|
|
[
|
||
|
|
[datetime.timedelta(1), datetime.timedelta(2)],
|
||
|
|
[datetime.datetime(2000, 1, 1), datetime.datetime(2000, 1, 2)],
|
||
|
|
[pd.Period("2000"), pd.Period("2001")],
|
||
|
|
["a", "b"],
|
||
|
|
],
|
||
|
|
ids=["timedelta", "datetime", "period", "object"],
|
||
|
|
)
|
||
|
|
def test_index_ops_defer_to_unknown_subclasses(other):
|
||
|
|
# https://github.com/pandas-dev/pandas/issues/31109
|
||
|
|
values = np.array(
|
||
|
|
[datetime.date(2000, 1, 1), datetime.date(2000, 1, 2)], dtype=object
|
||
|
|
)
|
||
|
|
a = MyIndex._simple_new(values)
|
||
|
|
other = pd.Index(other)
|
||
|
|
result = other + a
|
||
|
|
assert isinstance(result, MyIndex)
|
||
|
|
assert a._calls == 1
|