AIM-PIbd-32-Kurbanova-A-A/aimenv/Lib/site-packages/pandas/tests/series/test_subclass.py
2024-10-02 22:15:59 +04:00

83 lines
2.6 KiB
Python

import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
pytestmark = pytest.mark.filterwarnings(
"ignore:Passing a BlockManager|Passing a SingleBlockManager:DeprecationWarning"
)
class TestSeriesSubclassing:
@pytest.mark.parametrize(
"idx_method, indexer, exp_data, exp_idx",
[
["loc", ["a", "b"], [1, 2], "ab"],
["iloc", [2, 3], [3, 4], "cd"],
],
)
def test_indexing_sliced(self, idx_method, indexer, exp_data, exp_idx):
s = tm.SubclassedSeries([1, 2, 3, 4], index=list("abcd"))
res = getattr(s, idx_method)[indexer]
exp = tm.SubclassedSeries(exp_data, index=list(exp_idx))
tm.assert_series_equal(res, exp)
def test_to_frame(self):
s = tm.SubclassedSeries([1, 2, 3, 4], index=list("abcd"), name="xxx")
res = s.to_frame()
exp = tm.SubclassedDataFrame({"xxx": [1, 2, 3, 4]}, index=list("abcd"))
tm.assert_frame_equal(res, exp)
def test_subclass_unstack(self):
# GH 15564
s = tm.SubclassedSeries([1, 2, 3, 4], index=[list("aabb"), list("xyxy")])
res = s.unstack()
exp = tm.SubclassedDataFrame({"x": [1, 3], "y": [2, 4]}, index=["a", "b"])
tm.assert_frame_equal(res, exp)
def test_subclass_empty_repr(self):
sub_series = tm.SubclassedSeries()
assert "SubclassedSeries" in repr(sub_series)
def test_asof(self):
N = 3
rng = pd.date_range("1/1/1990", periods=N, freq="53s")
s = tm.SubclassedSeries({"A": [np.nan, np.nan, np.nan]}, index=rng)
result = s.asof(rng[-2:])
assert isinstance(result, tm.SubclassedSeries)
def test_explode(self):
s = tm.SubclassedSeries([[1, 2, 3], "foo", [], [3, 4]])
result = s.explode()
assert isinstance(result, tm.SubclassedSeries)
def test_equals(self):
# https://github.com/pandas-dev/pandas/pull/34402
# allow subclass in both directions
s1 = pd.Series([1, 2, 3])
s2 = tm.SubclassedSeries([1, 2, 3])
assert s1.equals(s2)
assert s2.equals(s1)
class SubclassedSeries(pd.Series):
@property
def _constructor(self):
def _new(*args, **kwargs):
# some constructor logic that accesses the Series' name
if self.name == "test":
return pd.Series(*args, **kwargs)
return SubclassedSeries(*args, **kwargs)
return _new
def test_constructor_from_dict():
# https://github.com/pandas-dev/pandas/issues/52445
result = SubclassedSeries({"a": 1, "b": 2, "c": 3})
assert isinstance(result, SubclassedSeries)