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import re
import numpy as np
import pytest
from pandas.compat import IS64
from pandas import (
Index,
Interval,
IntervalIndex,
Series,
)
import pandas._testing as tm
class TestIntervalIndex:
@pytest.fixture
def series_with_interval_index(self):
return Series(np.arange(5), IntervalIndex.from_breaks(np.arange(6)))
def test_loc_with_interval(self, series_with_interval_index, indexer_sl):
# loc with single label / list of labels:
# - Intervals: only exact matches
# - scalars: those that contain it
ser = series_with_interval_index.copy()
expected = 0
result = indexer_sl(ser)[Interval(0, 1)]
assert result == expected
expected = ser.iloc[3:5]
result = indexer_sl(ser)[[Interval(3, 4), Interval(4, 5)]]
tm.assert_series_equal(expected, result)
# missing or not exact
with pytest.raises(KeyError, match=re.escape("Interval(3, 5, closed='left')")):
indexer_sl(ser)[Interval(3, 5, closed="left")]
with pytest.raises(KeyError, match=re.escape("Interval(3, 5, closed='right')")):
indexer_sl(ser)[Interval(3, 5)]
with pytest.raises(
KeyError, match=re.escape("Interval(-2, 0, closed='right')")
):
indexer_sl(ser)[Interval(-2, 0)]
with pytest.raises(KeyError, match=re.escape("Interval(5, 6, closed='right')")):
indexer_sl(ser)[Interval(5, 6)]
def test_loc_with_scalar(self, series_with_interval_index, indexer_sl):
# loc with single label / list of labels:
# - Intervals: only exact matches
# - scalars: those that contain it
ser = series_with_interval_index.copy()
assert indexer_sl(ser)[1] == 0
assert indexer_sl(ser)[1.5] == 1
assert indexer_sl(ser)[2] == 1
expected = ser.iloc[1:4]
tm.assert_series_equal(expected, indexer_sl(ser)[[1.5, 2.5, 3.5]])
tm.assert_series_equal(expected, indexer_sl(ser)[[2, 3, 4]])
tm.assert_series_equal(expected, indexer_sl(ser)[[1.5, 3, 4]])
expected = ser.iloc[[1, 1, 2, 1]]
tm.assert_series_equal(expected, indexer_sl(ser)[[1.5, 2, 2.5, 1.5]])
expected = ser.iloc[2:5]
tm.assert_series_equal(expected, indexer_sl(ser)[ser >= 2])
def test_loc_with_slices(self, series_with_interval_index, indexer_sl):
# loc with slices:
# - Interval objects: only works with exact matches
# - scalars: only works for non-overlapping, monotonic intervals,
# and start/stop select location based on the interval that
# contains them:
# (slice_loc(start, stop) == (idx.get_loc(start), idx.get_loc(stop))
ser = series_with_interval_index.copy()
# slice of interval
expected = ser.iloc[:3]
result = indexer_sl(ser)[Interval(0, 1) : Interval(2, 3)]
tm.assert_series_equal(expected, result)
expected = ser.iloc[3:]
result = indexer_sl(ser)[Interval(3, 4) :]
tm.assert_series_equal(expected, result)
msg = "Interval objects are not currently supported"
with pytest.raises(NotImplementedError, match=msg):
indexer_sl(ser)[Interval(3, 6) :]
with pytest.raises(NotImplementedError, match=msg):
indexer_sl(ser)[Interval(3, 4, closed="left") :]
def test_slice_step_ne1(self, series_with_interval_index):
# GH#31658 slice of scalar with step != 1
ser = series_with_interval_index.copy()
expected = ser.iloc[0:4:2]
result = ser[0:4:2]
tm.assert_series_equal(result, expected)
result2 = ser[0:4][::2]
tm.assert_series_equal(result2, expected)
def test_slice_float_start_stop(self, series_with_interval_index):
# GH#31658 slicing with integers is positional, with floats is not
# supported
ser = series_with_interval_index.copy()
msg = "label-based slicing with step!=1 is not supported for IntervalIndex"
with pytest.raises(ValueError, match=msg):
ser[1.5:9.5:2]
def test_slice_interval_step(self, series_with_interval_index):
# GH#31658 allows for integer step!=1, not Interval step
ser = series_with_interval_index.copy()
msg = "label-based slicing with step!=1 is not supported for IntervalIndex"
with pytest.raises(ValueError, match=msg):
ser[0 : 4 : Interval(0, 1)]
def test_loc_with_overlap(self, indexer_sl):
idx = IntervalIndex.from_tuples([(1, 5), (3, 7)])
ser = Series(range(len(idx)), index=idx)
# scalar
expected = ser
result = indexer_sl(ser)[4]
tm.assert_series_equal(expected, result)
result = indexer_sl(ser)[[4]]
tm.assert_series_equal(expected, result)
# interval
expected = 0
result = indexer_sl(ser)[Interval(1, 5)]
result == expected
expected = ser
result = indexer_sl(ser)[[Interval(1, 5), Interval(3, 7)]]
tm.assert_series_equal(expected, result)
with pytest.raises(KeyError, match=re.escape("Interval(3, 5, closed='right')")):
indexer_sl(ser)[Interval(3, 5)]
msg = r"None of \[\[Interval\(3, 5, closed='right'\)\]\]"
with pytest.raises(KeyError, match=msg):
indexer_sl(ser)[[Interval(3, 5)]]
# slices with interval (only exact matches)
expected = ser
result = indexer_sl(ser)[Interval(1, 5) : Interval(3, 7)]
tm.assert_series_equal(expected, result)
msg = (
"'can only get slices from an IntervalIndex if bounds are "
"non-overlapping and all monotonic increasing or decreasing'"
)
with pytest.raises(KeyError, match=msg):
indexer_sl(ser)[Interval(1, 6) : Interval(3, 8)]
if indexer_sl is tm.loc:
# slices with scalar raise for overlapping intervals
# TODO KeyError is the appropriate error?
with pytest.raises(KeyError, match=msg):
ser.loc[1:4]
def test_non_unique(self, indexer_sl):
idx = IntervalIndex.from_tuples([(1, 3), (3, 7)])
ser = Series(range(len(idx)), index=idx)
result = indexer_sl(ser)[Interval(1, 3)]
assert result == 0
result = indexer_sl(ser)[[Interval(1, 3)]]
expected = ser.iloc[0:1]
tm.assert_series_equal(expected, result)
def test_non_unique_moar(self, indexer_sl):
idx = IntervalIndex.from_tuples([(1, 3), (1, 3), (3, 7)])
ser = Series(range(len(idx)), index=idx)
expected = ser.iloc[[0, 1]]
result = indexer_sl(ser)[Interval(1, 3)]
tm.assert_series_equal(expected, result)
expected = ser
result = indexer_sl(ser)[Interval(1, 3) :]
tm.assert_series_equal(expected, result)
expected = ser.iloc[[0, 1]]
result = indexer_sl(ser)[[Interval(1, 3)]]
tm.assert_series_equal(expected, result)
def test_loc_getitem_missing_key_error_message(
self, frame_or_series, series_with_interval_index
):
# GH#27365
ser = series_with_interval_index.copy()
obj = frame_or_series(ser)
with pytest.raises(KeyError, match=r"\[6\]"):
obj.loc[[4, 5, 6]]
@pytest.mark.xfail(not IS64, reason="GH 23440")
@pytest.mark.parametrize(
"intervals",
[
([Interval(-np.inf, 0.0), Interval(0.0, 1.0)]),
([Interval(-np.inf, -2.0), Interval(-2.0, -1.0)]),
([Interval(-1.0, 0.0), Interval(0.0, np.inf)]),
([Interval(1.0, 2.0), Interval(2.0, np.inf)]),
],
)
def test_repeating_interval_index_with_infs(intervals):
# GH 46658
interval_index = Index(intervals * 51)
expected = np.arange(1, 102, 2, dtype=np.intp)
result = interval_index.get_indexer_for([intervals[1]])
tm.assert_equal(result, expected)