Repository URL to install this package:
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Version:
0.24.2 ▾
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# -*- coding: utf-8 -*-
import numpy as np
import pytest
import pandas as pd
from pandas import Index, Interval, IntervalIndex, date_range, timedelta_range
from pandas.core.arrays import IntervalArray
import pandas.util.testing as tm
@pytest.fixture(params=[
(Index([0, 2, 4]), Index([1, 3, 5])),
(Index([0., 1., 2.]), Index([1., 2., 3.])),
(timedelta_range('0 days', periods=3),
timedelta_range('1 day', periods=3)),
(date_range('20170101', periods=3), date_range('20170102', periods=3)),
(date_range('20170101', periods=3, tz='US/Eastern'),
date_range('20170102', periods=3, tz='US/Eastern'))],
ids=lambda x: str(x[0].dtype))
def left_right_dtypes(request):
"""
Fixture for building an IntervalArray from various dtypes
"""
return request.param
class TestMethods(object):
@pytest.mark.parametrize('new_closed', [
'left', 'right', 'both', 'neither'])
def test_set_closed(self, closed, new_closed):
# GH 21670
array = IntervalArray.from_breaks(range(10), closed=closed)
result = array.set_closed(new_closed)
expected = IntervalArray.from_breaks(range(10), closed=new_closed)
tm.assert_extension_array_equal(result, expected)
@pytest.mark.parametrize('other', [
Interval(0, 1, closed='right'),
IntervalArray.from_breaks([1, 2, 3, 4], closed='right'),
])
def test_where_raises(self, other):
ser = pd.Series(IntervalArray.from_breaks([1, 2, 3, 4],
closed='left'))
match = "'value.closed' is 'right', expected 'left'."
with pytest.raises(ValueError, match=match):
ser.where([True, False, True], other=other)
class TestSetitem(object):
def test_set_na(self, left_right_dtypes):
left, right = left_right_dtypes
result = IntervalArray.from_arrays(left, right)
result[0] = np.nan
expected_left = Index([left._na_value] + list(left[1:]))
expected_right = Index([right._na_value] + list(right[1:]))
expected = IntervalArray.from_arrays(expected_left, expected_right)
tm.assert_extension_array_equal(result, expected)
def test_repr_matches():
idx = IntervalIndex.from_breaks([1, 2, 3])
a = repr(idx)
b = repr(idx.values)
assert a.replace("Index", "Array") == b