projektAI/venv/Lib/site-packages/pandas/tests/series/indexing/test_xs.py

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2021-06-06 22:13:05 +02:00
import numpy as np
from pandas import MultiIndex, Series, date_range
import pandas._testing as tm
def test_xs_datetimelike_wrapping():
# GH#31630 a case where we shouldn't wrap datetime64 in Timestamp
arr = date_range("2016-01-01", periods=3)._data._data
ser = Series(arr, dtype=object)
for i in range(len(ser)):
ser.iloc[i] = arr[i]
assert ser.dtype == object
assert isinstance(ser[0], np.datetime64)
result = ser.xs(0)
assert isinstance(result, np.datetime64)
class TestXSWithMultiIndex:
def test_xs_level_series(self, multiindex_dataframe_random_data):
df = multiindex_dataframe_random_data
ser = df["A"]
expected = ser[:, "two"]
result = df.xs("two", level=1)["A"]
tm.assert_series_equal(result, expected)
def test_series_getitem_multiindex_xs_by_label(self):
# GH#5684
idx = MultiIndex.from_tuples(
[("a", "one"), ("a", "two"), ("b", "one"), ("b", "two")]
)
ser = Series([1, 2, 3, 4], index=idx)
return_value = ser.index.set_names(["L1", "L2"], inplace=True)
assert return_value is None
expected = Series([1, 3], index=["a", "b"])
return_value = expected.index.set_names(["L1"], inplace=True)
assert return_value is None
result = ser.xs("one", level="L2")
tm.assert_series_equal(result, expected)
def test_series_getitem_multiindex_xs(xs):
# GH#6258
dt = list(date_range("20130903", periods=3))
idx = MultiIndex.from_product([list("AB"), dt])
ser = Series([1, 3, 4, 1, 3, 4], index=idx)
expected = Series([1, 1], index=list("AB"))
result = ser.xs("20130903", level=1)
tm.assert_series_equal(result, expected)
def test_series_xs_droplevel_false(self):
# GH: 19056
mi = MultiIndex.from_tuples(
[("a", "x"), ("a", "y"), ("b", "x")], names=["level1", "level2"]
)
ser = Series([1, 1, 1], index=mi)
result = ser.xs("a", axis=0, drop_level=False)
expected = Series(
[1, 1],
index=MultiIndex.from_tuples(
[("a", "x"), ("a", "y")], names=["level1", "level2"]
),
)
tm.assert_series_equal(result, expected)