BUG: Fix IntervalIndex constructor inconsistencies

doc/source/whatsnew/v0.22.0.txt

@@ -74,6 +74,7 @@ Other API Changes
 - `tseries.frequencies.get_freq_group()` and `tseries.frequencies.DAYS` are removed from the public API (:issue:`18034`)
 - :func:`Series.truncate` and :func:`DataFrame.truncate` will raise a ``ValueError`` if the index is not sorted instead of an unhelpful ``KeyError`` (:issue:`17935`)
 - :func:`Dataframe.unstack` will now default to filling with ``np.nan`` for ``object`` columns. (:issue:`12815`)
+- :class:`IntervalIndex` constructor will raise if the ``closed`` parameter conflicts with how the input data is inferred to be closed (:issue:`18421`)
 
 
 .. _whatsnew_0220.deprecations:
@@ -137,6 +138,7 @@ Indexing
 - Bug in :func:`Series.truncate` which raises ``TypeError`` with a monotonic ``PeriodIndex`` (:issue:`17717`)
 - Bug in :func:`DataFrame.groupby` where tuples were interpreted as lists of keys rather than as keys (:issue:`17979`, :issue:`18249`)
 - Bug in :func:`MultiIndex.remove_unused_levels`` which would fill nan values (:issue:`18417`)
+- Bug in :class:`IntervalIndex` where empty and purely NA data was constructed inconsistently depending on the construction method (:issue:`18421`)
 -
 
 I/O

pandas/_libs/interval.pyx

@@ -211,8 +211,8 @@ cpdef intervals_to_interval_bounds(ndarray intervals):
         int64_t n = len(intervals)
         ndarray left, right
 
-    left = np.empty(n, dtype=object)
-    right = np.empty(n, dtype=object)
+    left = np.empty(n, dtype=intervals.dtype)
+    right = np.empty(n, dtype=intervals.dtype)
 
     for i in range(len(intervals)):
         interval = intervals[i]

pandas/core/indexes/interval.py

@@ -5,6 +5,7 @@
 from pandas.core.dtypes.missing import notna, isna
 from pandas.core.dtypes.generic import ABCPeriodIndex
 from pandas.core.dtypes.dtypes import IntervalDtype
+from pandas.core.dtypes.cast import maybe_convert_platform
 from pandas.core.dtypes.common import (
     _ensure_platform_int,
     is_list_like,
@@ -31,7 +32,9 @@
 from pandas.core.indexes.timedeltas import timedelta_range
 from pandas.core.indexes.multi import MultiIndex
 from pandas.compat.numpy import function as nv
-from pandas.core import common as com
+from pandas.core.common import (
+    _all_not_none, _any_none, _asarray_tuplesafe, _count_not_none,
+    is_bool_indexer, _maybe_box_datetimelike, _not_none)
 from pandas.util._decorators import cache_readonly, Appender
 from pandas.core.config import get_option
 from pandas.tseries.frequencies import to_offset
@@ -176,7 +179,7 @@ class IntervalIndex(IntervalMixin, Index):
 
     _mask = None
 
-    def __new__(cls, data, closed='right',
+    def __new__(cls, data, closed=None,
                 name=None, copy=False, dtype=None,
                 fastpath=False, verify_integrity=True):
 
@@ -197,8 +200,17 @@ def __new__(cls, data, closed='right',
             if is_scalar(data):
                 cls._scalar_data_error(data)
 
-            data = IntervalIndex.from_intervals(data, name=name)
-            left, right, closed = data.left, data.right, data.closed
+            data = maybe_convert_platform(data)
+            left, right, infer_closed = intervals_to_interval_bounds(data)
+
+            if _all_not_none(closed, infer_closed) and closed != infer_closed:
+                # GH 18421
+                msg = ("conflicting values for closed: constructor got "
+                       "'{closed}', inferred from data '{infer_closed}'"
+                       .format(closed=closed, infer_closed=infer_closed))
+                raise ValueError(msg)
+
+            closed = closed or infer_closed
 
         return cls._simple_new(left, right, closed, name,
                                copy=copy, verify_integrity=verify_integrity)
@@ -376,7 +388,8 @@ def from_breaks(cls, breaks, closed='right', name=None, copy=False):
         IntervalIndex.from_tuples : Construct an IntervalIndex from a
                                     list/array of tuples
         """
-        breaks = np.asarray(breaks)
+        breaks = maybe_convert_platform(breaks)
+
         return cls.from_arrays(breaks[:-1], breaks[1:], closed,
                                name=name, copy=copy)
 
@@ -416,8 +429,9 @@ def from_arrays(cls, left, right, closed='right', name=None, copy=False):
         IntervalIndex.from_tuples : Construct an IntervalIndex from a
                                     list/array of tuples
         """
-        left = np.asarray(left)
-        right = np.asarray(right)
+        left = maybe_convert_platform(left)
+        right = maybe_convert_platform(right)
+
         return cls._simple_new(left, right, closed, name=name,
                                copy=copy, verify_integrity=True)
 
@@ -460,8 +474,12 @@ def from_intervals(cls, data, name=None, copy=False):
         IntervalIndex.from_tuples : Construct an IntervalIndex from a
                                     list/array of tuples
         """
-        data = np.asarray(data)
-        left, right, closed = intervals_to_interval_bounds(data)
+        if isinstance(data, IntervalIndex):
+            left, right, closed = data.left, data.right, data.closed
+            name = name or data.name
+        else:
+            data = maybe_convert_platform(data)
+            left, right, closed = intervals_to_interval_bounds(data)
         return cls.from_arrays(left, right, closed, name=name, copy=False)
 
     @classmethod
@@ -497,8 +515,11 @@ def from_tuples(cls, data, closed='right', name=None, copy=False):
         IntervalIndex.from_intervals : Construct an IntervalIndex from an array
                                        of Interval objects
         """
-        left = []
-        right = []
+        if len(data):
+            left, right = [], []
+        else:
+            left = right = data
+
         for d in data:
 
             if isna(d):
@@ -517,7 +538,7 @@ def from_tuples(cls, data, closed='right', name=None, copy=False):
         return cls.from_arrays(left, right, closed, name=name, copy=False)
 
     def to_tuples(self):
-        return Index(com._asarray_tuplesafe(zip(self.left, self.right)))
+        return Index(_asarray_tuplesafe(zip(self.left, self.right)))
 
     @cache_readonly
     def _multiindex(self):
@@ -838,7 +859,7 @@ def get_loc(self, key, method=None):
                 return self._engine.get_loc(key)
 
     def get_value(self, series, key):
-        if com.is_bool_indexer(key):
+        if is_bool_indexer(key):
             loc = key
         elif is_list_like(key):
             loc = self.get_indexer(key)
@@ -1166,7 +1187,7 @@ def _is_type_compatible(a, b):
     return ((is_number(a) and is_number(b)) or
             (is_ts_compat(a) and is_ts_compat(b)) or
             (is_td_compat(a) and is_td_compat(b)) or
-            com._any_none(a, b))
+            _any_none(a, b))
 
 
 def interval_range(start=None, end=None, periods=None, freq=None,
@@ -1244,13 +1265,13 @@ def interval_range(start=None, end=None, periods=None, freq=None,
     --------
     IntervalIndex : an Index of intervals that are all closed on the same side.
     """
-    if com._count_not_none(start, end, periods) != 2:
+    if _count_not_none(start, end, periods) != 2:
         raise ValueError('Of the three parameters: start, end, and periods, '
                          'exactly two must be specified')
 
-    start = com._maybe_box_datetimelike(start)
-    end = com._maybe_box_datetimelike(end)
-    endpoint = next(com._not_none(start, end))
+    start = _maybe_box_datetimelike(start)
+    end = _maybe_box_datetimelike(end)
+    endpoint = next(_not_none(start, end))
 
     if not _is_valid_endpoint(start):
         msg = 'start must be numeric or datetime-like, got {start}'

pandas/tests/indexes/test_interval.py

@@ -6,7 +6,7 @@
 from pandas import (Interval, IntervalIndex, Index, isna,
                     interval_range, Timestamp, Timedelta,
                     compat, date_range, timedelta_range, DateOffset)
-from pandas.compat import zip
+from pandas.compat import lzip
 from pandas.tseries.offsets import Day
 from pandas._libs.interval import IntervalTree
 from pandas.tests.indexes.common import Base
@@ -38,7 +38,7 @@ def create_index_with_nan(self, closed='right'):
     @pytest.mark.parametrize('name', [None, 'foo'])
     def test_constructors(self, closed, name):
         left, right = Index([0, 1, 2, 3]), Index([1, 2, 3, 4])
-        ivs = [Interval(l, r, closed=closed) for l, r in zip(left, right)]
+        ivs = [Interval(l, r, closed=closed) for l, r in lzip(left, right)]
         expected = IntervalIndex._simple_new(
             left=left, right=right, closed=closed, name=name)
 
@@ -57,7 +57,7 @@ def test_constructors(self, closed, name):
         tm.assert_index_equal(result, expected)
 
         result = IntervalIndex.from_tuples(
-            zip(left, right), closed=closed, name=name)
+            lzip(left, right), closed=closed, name=name)
         tm.assert_index_equal(result, expected)
 
         result = Index(ivs, name=name)
@@ -68,6 +68,9 @@ def test_constructors(self, closed, name):
         tm.assert_index_equal(Index(expected), expected)
         tm.assert_index_equal(IntervalIndex(expected), expected)
 
+        result = IntervalIndex.from_intervals(expected)
+        tm.assert_index_equal(result, expected)
+
         result = IntervalIndex.from_intervals(
             expected.values, name=expected.name)
         tm.assert_index_equal(result, expected)
@@ -86,63 +89,118 @@ def test_constructors(self, closed, name):
             breaks, closed=expected.closed, name=expected.name)
         tm.assert_index_equal(result, expected)
 
-    def test_constructors_other(self):
-
-        # all-nan
-        result = IntervalIndex.from_intervals([np.nan])
-        expected = np.array([np.nan], dtype=object)
-        tm.assert_numpy_array_equal(result.values, expected)
-
-        # empty
-        result = IntervalIndex.from_intervals([])
-        expected = np.array([], dtype=object)
-        tm.assert_numpy_array_equal(result.values, expected)
+    @pytest.mark.parametrize('data', [[np.nan], [np.nan] * 2, [np.nan] * 50])
+    def test_constructors_nan(self, closed, data):
+        # GH 18421
+        expected_values = np.array(data, dtype=object)
+        expected_idx = IntervalIndex(data, closed=closed)
+
+        # validate the expected index
+        assert expected_idx.closed == closed
+        tm.assert_numpy_array_equal(expected_idx.values, expected_values)
+
+        result = IntervalIndex.from_tuples(data, closed=closed)
+        tm.assert_index_equal(result, expected_idx)
+        tm.assert_numpy_array_equal(result.values, expected_values)
+
+        result = IntervalIndex.from_breaks([np.nan] + data, closed=closed)
+        tm.assert_index_equal(result, expected_idx)
+        tm.assert_numpy_array_equal(result.values, expected_values)
+
+        result = IntervalIndex.from_arrays(data, data, closed=closed)
+        tm.assert_index_equal(result, expected_idx)
+        tm.assert_numpy_array_equal(result.values, expected_values)
+
+        if closed == 'right':
+            # Can't specify closed for IntervalIndex.from_intervals
+            result = IntervalIndex.from_intervals(data)
+            tm.assert_index_equal(result, expected_idx)
+            tm.assert_numpy_array_equal(result.values, expected_values)
+
+    @pytest.mark.parametrize('data', [
+        [],
+        np.array([], dtype='int64'),
+        np.array([], dtype='float64'),
+        np.array([], dtype=object)])
+    def test_constructors_empty(self, data, closed):
+        # GH 18421
+        expected_dtype = data.dtype if isinstance(data, np.ndarray) else object
+        expected_values = np.array([], dtype=object)
+        expected_index = IntervalIndex(data, closed=closed)
+
+        # validate the expected index
+        assert expected_index.empty
+        assert expected_index.closed == closed
+        assert expected_index.dtype.subtype == expected_dtype
+        tm.assert_numpy_array_equal(expected_index.values, expected_values)
+
+        result = IntervalIndex.from_tuples(data, closed=closed)
+        tm.assert_index_equal(result, expected_index)
+        tm.assert_numpy_array_equal(result.values, expected_values)
+
+        result = IntervalIndex.from_breaks(data, closed=closed)
+        tm.assert_index_equal(result, expected_index)
+        tm.assert_numpy_array_equal(result.values, expected_values)
+
+        result = IntervalIndex.from_arrays(data, data, closed=closed)
+        tm.assert_index_equal(result, expected_index)
+        tm.assert_numpy_array_equal(result.values, expected_values)
+
+        if closed == 'right':
+            # Can't specify closed for IntervalIndex.from_intervals
+            result = IntervalIndex.from_intervals(data)
+            tm.assert_index_equal(result, expected_index)
+            tm.assert_numpy_array_equal(result.values, expected_values)
 
     def test_constructors_errors(self):
 
         # scalar
-        msg = ('IntervalIndex(...) must be called with a collection of '
+        msg = ('IntervalIndex\(...\) must be called with a collection of '
                'some kind, 5 was passed')
-        with pytest.raises(TypeError, message=msg):
+        with tm.assert_raises_regex(TypeError, msg):
             IntervalIndex(5)
 
         # not an interval
-        msg = "type <class 'numpy.int32'> with value 0 is not an interval"
-        with pytest.raises(TypeError, message=msg):
+        msg = ("type <(class|type) 'numpy.int64'> with value 0 "
+               "is not an interval")
+        with tm.assert_raises_regex(TypeError, msg):
             IntervalIndex([0, 1])
 
-        with pytest.raises(TypeError, message=msg):
+        with tm.assert_raises_regex(TypeError, msg):
             IntervalIndex.from_intervals([0, 1])
 
         # invalid closed
         msg = "invalid options for 'closed': invalid"
-        with pytest.raises(ValueError, message=msg):
+        with tm.assert_raises_regex(ValueError, msg):
             IntervalIndex.from_arrays([0, 1], [1, 2], closed='invalid')
 
-        # mismatched closed
+        # mismatched closed within intervals
         msg = 'intervals must all be closed on the same side'
-        with pytest.raises(ValueError, message=msg):
+        with tm.assert_raises_regex(ValueError, msg):
             IntervalIndex.from_intervals([Interval(0, 1),
                                           Interval(1, 2, closed='left')])
 
-        with pytest.raises(ValueError, message=msg):
-            IntervalIndex.from_arrays([0, 10], [3, 5])
-
-        with pytest.raises(ValueError, message=msg):
+        with tm.assert_raises_regex(ValueError, msg):
             Index([Interval(0, 1), Interval(2, 3, closed='left')])
 
+        # mismatched closed inferred from intervals vs constructor.
+        msg = 'conflicting values for closed'
+        with tm.assert_raises_regex(ValueError, msg):
+            iv = [Interval(0, 1, closed='both'), Interval(1, 2, closed='both')]
+            IntervalIndex(iv, closed='neither')
+
         # no point in nesting periods in an IntervalIndex
         msg = 'Period dtypes are not supported, use a PeriodIndex instead'
-        with pytest.raises(ValueError, message=msg):
+        with tm.assert_raises_regex(ValueError, msg):
             IntervalIndex.from_breaks(
                 pd.period_range('2000-01-01', periods=3))
 
         # decreasing breaks/arrays
         msg = 'left side of interval must be <= right side'
-        with pytest.raises(ValueError, message=msg):
+        with tm.assert_raises_regex(ValueError, msg):
             IntervalIndex.from_breaks(range(10, -1, -1))
 
-        with pytest.raises(ValueError, message=msg):
+        with tm.assert_raises_regex(ValueError, msg):
             IntervalIndex.from_arrays(range(10, -1, -1), range(9, -2, -1))
 
     def test_constructors_datetimelike(self, closed):
@@ -865,23 +923,23 @@ def test_is_non_overlapping_monotonic(self, closed):
         idx = IntervalIndex.from_tuples(tpls, closed=closed)
         assert idx.is_non_overlapping_monotonic is True
 
-        idx = IntervalIndex.from_tuples(reversed(tpls), closed=closed)
+        idx = IntervalIndex.from_tuples(tpls[::-1], closed=closed)
         assert idx.is_non_overlapping_monotonic is True
 
         # Should be False in all cases (overlapping)
         tpls = [(0, 2), (1, 3), (4, 5), (6, 7)]
         idx = IntervalIndex.from_tuples(tpls, closed=closed)
         assert idx.is_non_overlapping_monotonic is False
 
-        idx = IntervalIndex.from_tuples(reversed(tpls), closed=closed)
+        idx = IntervalIndex.from_tuples(tpls[::-1], closed=closed)
         assert idx.is_non_overlapping_monotonic is False
 
         # Should be False in all cases (non-monotonic)
         tpls = [(0, 1), (2, 3), (6, 7), (4, 5)]
         idx = IntervalIndex.from_tuples(tpls, closed=closed)
         assert idx.is_non_overlapping_monotonic is False
 
-        idx = IntervalIndex.from_tuples(reversed(tpls), closed=closed)
+        idx = IntervalIndex.from_tuples(tpls[::-1], closed=closed)
         assert idx.is_non_overlapping_monotonic is False
 
         # Should be False for closed='both', overwise True (GH16560)
@@ -1054,10 +1112,6 @@ def test_constructor_coverage(self):
                                    end=end.to_pydatetime())
         tm.assert_index_equal(result, expected)
 
-        result = pd.interval_range(start=start.tz_localize('UTC'),
-                                   end=end.tz_localize('UTC'))
-        tm.assert_index_equal(result, expected)
-
         result = pd.interval_range(start=start.asm8, end=end.asm8)
         tm.assert_index_equal(result, expected)
 

pandas/tests/indexing/test_interval.py

@@ -54,7 +54,7 @@ def test_getitem_with_scalar(self):
     def test_nonoverlapping_monotonic(self, direction, closed):
         tpls = [(0, 1), (2, 3), (4, 5)]
         if direction == 'decreasing':
-            tpls = reversed(tpls)
+            tpls = tpls[::-1]
 
         idx = IntervalIndex.from_tuples(tpls, closed=closed)
         s = Series(list('abc'), idx)