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1 change: 1 addition & 0 deletions doc/source/whatsnew/v2.1.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -695,6 +695,7 @@ Interval
^^^^^^^^
- :meth:`pd.IntervalIndex.get_indexer` and :meth:`pd.IntervalIndex.get_indexer_nonunique` raising if ``target`` is read-only array (:issue:`53703`)
- Bug in :class:`IntervalDtype` where the object could be kept alive when deleted (:issue:`54184`)
- Bug in :func:`interval_range` where a float ``step`` would produce incorrect intervals from floating point artifacts (:issue:`54477`)

Indexing
^^^^^^^^
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24 changes: 12 additions & 12 deletions pandas/core/indexes/interval.py
Original file line number Diff line number Diff line change
Expand Up @@ -1121,19 +1121,19 @@ def interval_range(
breaks: np.ndarray | TimedeltaIndex | DatetimeIndex

if is_number(endpoint):
# force consistency between start/end/freq (lower end if freq skips it)
if com.all_not_none(start, end, freq):
end -= (end - start) % freq

# compute the period/start/end if unspecified (at most one)
if periods is None:
periods = int((end - start) // freq) + 1
elif start is None:
start = end - (periods - 1) * freq
elif end is None:
end = start + (periods - 1) * freq

breaks = np.linspace(start, end, periods)
# 0.1 ensures we capture end
breaks = np.arange(start, end + (freq * 0.1), freq)
else:
# compute the period/start/end if unspecified (at most one)
if periods is None:
periods = int((end - start) // freq) + 1
elif start is None:
start = end - (periods - 1) * freq
elif end is None:
end = start + (periods - 1) * freq

breaks = np.linspace(start, end, periods)
if all(is_integer(x) for x in com.not_none(start, end, freq)):
# np.linspace always produces float output

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10 changes: 10 additions & 0 deletions pandas/tests/indexes/interval/test_interval_range.py
Original file line number Diff line number Diff line change
Expand Up @@ -353,3 +353,13 @@ def test_errors(self):
msg = "Start and end cannot both be tz-aware with different timezones"
with pytest.raises(TypeError, match=msg):
interval_range(start=start, end=end)

def test_float_freq(self):
# GH 54477
result = interval_range(0, 1, freq=0.1)
expected = IntervalIndex.from_breaks([0 + 0.1 * n for n in range(11)])
tm.assert_index_equal(result, expected)

result = interval_range(0, 1, freq=0.6)
expected = IntervalIndex.from_breaks([0, 0.6])
tm.assert_index_equal(result, expected)