Python pandas.Interval方法代碼示例

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_overlaps_interval(
            self, constructor, start_shift, closed, other_closed):
        start, shift = start_shift
        interval = Interval(start, start + 3 * shift, other_closed)

        # intervals: identical, nested, spanning, partial, adjacent, disjoint
        tuples = [(start, start + 3 * shift),
                  (start + shift, start + 2 * shift),
                  (start - shift, start + 4 * shift),
                  (start + 2 * shift, start + 4 * shift),
                  (start + 3 * shift, start + 4 * shift),
                  (start + 4 * shift, start + 5 * shift)]
        interval_container = constructor.from_tuples(tuples, closed)

        adjacent = (interval.closed_right and interval_container.closed_left)
        expected = np.array([True, True, True, True, adjacent, False])
        result = interval_container.overlaps(interval)
        tm.assert_numpy_array_equal(result, expected) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_is_unique_interval(self, closed):
        """
        Interval specific tests for is_unique in addition to base class tests
        """
        # unique overlapping - distinct endpoints
        idx = IntervalIndex.from_tuples([(0, 1), (0.5, 1.5)], closed=closed)
        assert idx.is_unique is True

        # unique overlapping - shared endpoints
        idx = pd.IntervalIndex.from_tuples(
            [(1, 2), (1, 3), (2, 3)], closed=closed)
        assert idx.is_unique is True

        # unique nested
        idx = IntervalIndex.from_tuples([(-1, 1), (-2, 2)], closed=closed)
        assert idx.is_unique is True 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_get_item(self, closed):
        i = IntervalIndex.from_arrays((0, 1, np.nan), (1, 2, np.nan),
                                      closed=closed)
        assert i[0] == Interval(0.0, 1.0, closed=closed)
        assert i[1] == Interval(1.0, 2.0, closed=closed)
        assert isna(i[2])

        result = i[0:1]
        expected = IntervalIndex.from_arrays((0.,), (1.,), closed=closed)
        tm.assert_index_equal(result, expected)

        result = i[0:2]
        expected = IntervalIndex.from_arrays((0., 1), (1., 2.), closed=closed)
        tm.assert_index_equal(result, expected)

        result = i[1:3]
        expected = IntervalIndex.from_arrays((1., np.nan), (2., np.nan),
                                             closed=closed)
        tm.assert_index_equal(result, expected)

    # To be removed, replaced by test_interval_new.py (see #16316, #16386) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_get_loc_datetimelike_nonoverlapping(self, breaks):
        # GH 20636
        # nonoverlapping = IntervalIndex method and no i8 conversion
        index = IntervalIndex.from_breaks(breaks)

        value = index[0].mid
        result = index.get_loc(value)
        expected = 0
        assert result == expected

        interval = Interval(index[0].left, index[1].right)
        result = index.get_loc(interval)
        expected = slice(0, 2)
        assert result == expected

    # Make consistent with test_interval_new.py (see #16316, #16386) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_get_loc_datetimelike_overlapping(self, arrays):
        # GH 20636
        # overlapping = IntervalTree method with i8 conversion
        index = IntervalIndex.from_arrays(*arrays)

        value = index[0].mid + Timedelta('12 hours')
        result = np.sort(index.get_loc(value))
        expected = np.array([0, 1], dtype='intp')
        assert tm.assert_numpy_array_equal(result, expected)

        interval = Interval(index[0].left, index[1].right)
        result = np.sort(index.get_loc(interval))
        expected = np.array([0, 1, 2], dtype='intp')
        assert tm.assert_numpy_array_equal(result, expected)

    # To be removed, replaced by test_interval_new.py (see #16316, #16386) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_contains(self):
        # Only endpoints are valid.
        i = IntervalIndex.from_arrays([0, 1], [1, 2])

        # Invalid
        assert 0 not in i
        assert 1 not in i
        assert 2 not in i

        # Valid
        assert Interval(0, 1) in i
        assert Interval(0, 2) in i
        assert Interval(0, 0.5) in i
        assert Interval(3, 5) not in i
        assert Interval(-1, 0, closed='left') not in i

    # To be removed, replaced by test_interval_new.py (see #16316, #16386) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def testcontains(self):
        # can select values that are IN the range of a value
        i = IntervalIndex.from_arrays([0, 1], [1, 2])

        assert i.contains(0.1)
        assert i.contains(0.5)
        assert i.contains(1)
        assert i.contains(Interval(0, 1))
        assert i.contains(Interval(0, 2))

        # these overlaps completely
        assert i.contains(Interval(0, 3))
        assert i.contains(Interval(1, 3))

        assert not i.contains(20)
        assert not i.contains(-20) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_sort_values(self, closed):
        index = self.create_index(closed=closed)

        result = index.sort_values()
        tm.assert_index_equal(result, index)

        result = index.sort_values(ascending=False)
        tm.assert_index_equal(result, index[::-1])

        # with nan
        index = IntervalIndex([Interval(1, 2), np.nan, Interval(0, 1)])

        result = index.sort_values()
        expected = IntervalIndex([Interval(0, 1), Interval(1, 2), np.nan])
        tm.assert_index_equal(result, expected)

        result = index.sort_values(ascending=False)
        expected = IntervalIndex([np.nan, Interval(1, 2), Interval(0, 1)])
        tm.assert_index_equal(result, expected) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_get_loc_interval(self, closed, side):

        idx = IntervalIndex.from_tuples([(0, 1), (2, 3)], closed=closed)

        for bound in [[0, 1], [1, 2], [2, 3], [3, 4],
                      [0, 2], [2.5, 3], [-1, 4]]:
            # if get_loc is supplied an interval, it should only search
            # for exact matches, not overlaps or covers, else KeyError.
            if closed == side:
                if bound == [0, 1]:
                    assert idx.get_loc(Interval(0, 1, closed=side)) == 0
                elif bound == [2, 3]:
                    assert idx.get_loc(Interval(2, 3, closed=side)) == 1
                else:
                    with pytest.raises(KeyError):
                        idx.get_loc(Interval(*bound, closed=side))
            else:
                with pytest.raises(KeyError):
                    idx.get_loc(Interval(*bound, closed=side)) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_contains(self):

        index = IntervalIndex.from_arrays([0, 1], [1, 2], closed='right')

        # __contains__ requires perfect matches to intervals.
        assert 0 not in index
        assert 1 not in index
        assert 2 not in index

        assert Interval(0, 1, closed='right') in index
        assert Interval(0, 2, closed='right') not in index
        assert Interval(0, 0.5, closed='right') not in index
        assert Interval(3, 5, closed='right') not in index
        assert Interval(-1, 0, closed='left') not in index
        assert Interval(0, 1, closed='left') not in index
        assert Interval(0, 1, closed='both') not in index 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_contains_method(self):

        index = IntervalIndex.from_arrays([0, 1], [1, 2], closed='right')

        assert not index.contains(0)
        assert index.contains(0.1)
        assert index.contains(0.5)
        assert index.contains(1)

        assert index.contains(Interval(0, 1, closed='right'))
        assert not index.contains(Interval(0, 1, closed='left'))
        assert not index.contains(Interval(0, 1, closed='both'))
        assert not index.contains(Interval(0, 2, closed='right'))

        assert not index.contains(Interval(0, 3, closed='right'))
        assert not index.contains(Interval(1, 3, closed='right'))

        assert not index.contains(20)
        assert not index.contains(-20) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_with_slices(self):

        s = self.s

        # slice of interval
        with pytest.raises(NotImplementedError):
            s.loc[Interval(3, 6):]

        with pytest.raises(NotImplementedError):
            s[Interval(3, 6):]

        expected = s.iloc[3:5]
        result = s[[Interval(3, 6)]]
        tm.assert_series_equal(expected, result)

        # slice of scalar with step != 1
        with pytest.raises(ValueError):
            s[0:4:2]

    # To be removed, replaced by test_interval_new.py (see #16316, #16386) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_non_unique_moar(self):

        idx = IntervalIndex.from_tuples([(1, 3), (1, 3), (3, 7)])
        s = Series(range(len(idx)), index=idx)

        result = s.loc[Interval(1, 3)]
        expected = s.iloc[[0, 1]]
        tm.assert_series_equal(expected, result)

        # non-unique index and slices not allowed
        with pytest.raises(ValueError):
            s.loc[Interval(1, 3):]

        with pytest.raises(ValueError):
            s[Interval(1, 3):]

        # non-unique
        with pytest.raises(ValueError):
            s[[Interval(1, 3)]]

    # TODO: check this behavior is consistent with test_interval_new.py 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_non_unique_moar(self):

        idx = IntervalIndex.from_tuples([(1, 3), (1, 3), (3, 7)])
        s = Series(range(len(idx)), index=idx)

        expected = s.iloc[[0, 1]]
        result = s.loc[Interval(1, 3)]
        tm.assert_series_equal(expected, result)

        expected = s
        result = s.loc[Interval(1, 3):]
        tm.assert_series_equal(expected, result)

        expected = s
        result = s[Interval(1, 3):]
        tm.assert_series_equal(expected, result)

        expected = s.iloc[[0, 1]]
        result = s[[Interval(1, 3)]]
        tm.assert_series_equal(expected, result) 

# 需要導入模塊: import pandas [as 別名]
# 或者: from pandas import Interval [as 別名]
def test_contains(self, interval):
        assert 0.5 in interval
        assert 1 in interval
        assert 0 not in interval

        msg = "__contains__ not defined for two intervals"
        with pytest.raises(TypeError, match=msg):
            interval in interval

        interval_both = Interval(0, 1, closed='both')
        assert 0 in interval_both
        assert 1 in interval_both

        interval_neither = Interval(0, 1, closed='neither')
        assert 0 not in interval_neither
        assert 0.5 in interval_neither
        assert 1 not in interval_neither