projektAI/venv/Lib/site-packages/pandas/tests/indexes/datetimes/test_delete.py
2021-06-06 22:13:05 +02:00

135 lines
4.5 KiB
Python

import pytest
from pandas import DatetimeIndex, Series, date_range
import pandas._testing as tm
class TestDelete:
def test_delete(self):
idx = date_range(start="2000-01-01", periods=5, freq="M", name="idx")
# preserve freq
expected_0 = date_range(start="2000-02-01", periods=4, freq="M", name="idx")
expected_4 = date_range(start="2000-01-01", periods=4, freq="M", name="idx")
# reset freq to None
expected_1 = DatetimeIndex(
["2000-01-31", "2000-03-31", "2000-04-30", "2000-05-31"],
freq=None,
name="idx",
)
cases = {
0: expected_0,
-5: expected_0,
-1: expected_4,
4: expected_4,
1: expected_1,
}
for n, expected in cases.items():
result = idx.delete(n)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freq == expected.freq
with pytest.raises((IndexError, ValueError), match="out of bounds"):
# either depending on numpy version
idx.delete(5)
for tz in [None, "Asia/Tokyo", "US/Pacific"]:
idx = date_range(
start="2000-01-01 09:00", periods=10, freq="H", name="idx", tz=tz
)
expected = date_range(
start="2000-01-01 10:00", periods=9, freq="H", name="idx", tz=tz
)
result = idx.delete(0)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freqstr == "H"
assert result.tz == expected.tz
expected = date_range(
start="2000-01-01 09:00", periods=9, freq="H", name="idx", tz=tz
)
result = idx.delete(-1)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freqstr == "H"
assert result.tz == expected.tz
def test_delete_slice(self):
idx = date_range(start="2000-01-01", periods=10, freq="D", name="idx")
# preserve freq
expected_0_2 = date_range(start="2000-01-04", periods=7, freq="D", name="idx")
expected_7_9 = date_range(start="2000-01-01", periods=7, freq="D", name="idx")
# reset freq to None
expected_3_5 = DatetimeIndex(
[
"2000-01-01",
"2000-01-02",
"2000-01-03",
"2000-01-07",
"2000-01-08",
"2000-01-09",
"2000-01-10",
],
freq=None,
name="idx",
)
cases = {
(0, 1, 2): expected_0_2,
(7, 8, 9): expected_7_9,
(3, 4, 5): expected_3_5,
}
for n, expected in cases.items():
result = idx.delete(n)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freq == expected.freq
result = idx.delete(slice(n[0], n[-1] + 1))
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freq == expected.freq
for tz in [None, "Asia/Tokyo", "US/Pacific"]:
ts = Series(
1,
index=date_range(
"2000-01-01 09:00", periods=10, freq="H", name="idx", tz=tz
),
)
# preserve freq
result = ts.drop(ts.index[:5]).index
expected = date_range(
"2000-01-01 14:00", periods=5, freq="H", name="idx", tz=tz
)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freq == expected.freq
assert result.tz == expected.tz
# reset freq to None
result = ts.drop(ts.index[[1, 3, 5, 7, 9]]).index
expected = DatetimeIndex(
[
"2000-01-01 09:00",
"2000-01-01 11:00",
"2000-01-01 13:00",
"2000-01-01 15:00",
"2000-01-01 17:00",
],
freq=None,
name="idx",
tz=tz,
)
tm.assert_index_equal(result, expected)
assert result.name == expected.name
assert result.freq == expected.freq
assert result.tz == expected.tz