430 lines
15 KiB
Python
430 lines
15 KiB
Python
from functools import partial
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import numpy as np
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import pytest
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from pandas.core.dtypes.common import is_categorical_dtype
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from pandas.core.dtypes.dtypes import IntervalDtype
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from pandas import (
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Categorical,
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CategoricalIndex,
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Float64Index,
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Index,
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Int64Index,
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Interval,
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IntervalIndex,
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date_range,
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notna,
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period_range,
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timedelta_range,
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)
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import pandas._testing as tm
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from pandas.core.arrays import IntervalArray
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import pandas.core.common as com
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@pytest.fixture(params=[None, "foo"])
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def name(request):
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return request.param
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class ConstructorTests:
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"""
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Common tests for all variations of IntervalIndex construction. Input data
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to be supplied in breaks format, then converted by the subclass method
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get_kwargs_from_breaks to the expected format.
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"""
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@pytest.mark.parametrize(
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"breaks",
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[
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[3, 14, 15, 92, 653],
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np.arange(10, dtype="int64"),
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Int64Index(range(-10, 11)),
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Float64Index(np.arange(20, 30, 0.5)),
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date_range("20180101", periods=10),
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date_range("20180101", periods=10, tz="US/Eastern"),
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timedelta_range("1 day", periods=10),
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],
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)
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def test_constructor(self, constructor, breaks, closed, name):
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result_kwargs = self.get_kwargs_from_breaks(breaks, closed)
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result = constructor(closed=closed, name=name, **result_kwargs)
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assert result.closed == closed
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assert result.name == name
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assert result.dtype.subtype == getattr(breaks, "dtype", "int64")
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tm.assert_index_equal(result.left, Index(breaks[:-1]))
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tm.assert_index_equal(result.right, Index(breaks[1:]))
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@pytest.mark.parametrize(
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"breaks, subtype",
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[
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(Int64Index([0, 1, 2, 3, 4]), "float64"),
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(Int64Index([0, 1, 2, 3, 4]), "datetime64[ns]"),
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(Int64Index([0, 1, 2, 3, 4]), "timedelta64[ns]"),
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(Float64Index([0, 1, 2, 3, 4]), "int64"),
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(date_range("2017-01-01", periods=5), "int64"),
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(timedelta_range("1 day", periods=5), "int64"),
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],
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)
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def test_constructor_dtype(self, constructor, breaks, subtype):
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# GH 19262: conversion via dtype parameter
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expected_kwargs = self.get_kwargs_from_breaks(breaks.astype(subtype))
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expected = constructor(**expected_kwargs)
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result_kwargs = self.get_kwargs_from_breaks(breaks)
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iv_dtype = IntervalDtype(subtype)
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for dtype in (iv_dtype, str(iv_dtype)):
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result = constructor(dtype=dtype, **result_kwargs)
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize("breaks", [[np.nan] * 2, [np.nan] * 4, [np.nan] * 50])
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def test_constructor_nan(self, constructor, breaks, closed):
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# GH 18421
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result_kwargs = self.get_kwargs_from_breaks(breaks)
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result = constructor(closed=closed, **result_kwargs)
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expected_subtype = np.float64
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expected_values = np.array(breaks[:-1], dtype=object)
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assert result.closed == closed
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assert result.dtype.subtype == expected_subtype
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tm.assert_numpy_array_equal(np.array(result), expected_values)
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@pytest.mark.parametrize(
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"breaks",
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[
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[],
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np.array([], dtype="int64"),
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np.array([], dtype="float64"),
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np.array([], dtype="datetime64[ns]"),
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np.array([], dtype="timedelta64[ns]"),
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],
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)
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def test_constructor_empty(self, constructor, breaks, closed):
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# GH 18421
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result_kwargs = self.get_kwargs_from_breaks(breaks)
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result = constructor(closed=closed, **result_kwargs)
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expected_values = np.array([], dtype=object)
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expected_subtype = getattr(breaks, "dtype", np.int64)
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assert result.empty
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assert result.closed == closed
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assert result.dtype.subtype == expected_subtype
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tm.assert_numpy_array_equal(np.array(result), expected_values)
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@pytest.mark.parametrize(
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"breaks",
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[
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tuple("0123456789"),
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list("abcdefghij"),
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np.array(list("abcdefghij"), dtype=object),
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np.array(list("abcdefghij"), dtype="<U1"),
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],
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)
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def test_constructor_string(self, constructor, breaks):
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# GH 19016
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msg = (
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"category, object, and string subtypes are not supported "
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"for IntervalIndex"
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)
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with pytest.raises(TypeError, match=msg):
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constructor(**self.get_kwargs_from_breaks(breaks))
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@pytest.mark.parametrize("cat_constructor", [Categorical, CategoricalIndex])
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def test_constructor_categorical_valid(self, constructor, cat_constructor):
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# GH 21243/21253
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if isinstance(constructor, partial) and constructor.func is Index:
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# Index is defined to create CategoricalIndex from categorical data
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pytest.skip()
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breaks = np.arange(10, dtype="int64")
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expected = IntervalIndex.from_breaks(breaks)
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cat_breaks = cat_constructor(breaks)
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result_kwargs = self.get_kwargs_from_breaks(cat_breaks)
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result = constructor(**result_kwargs)
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tm.assert_index_equal(result, expected)
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def test_generic_errors(self, constructor):
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# filler input data to be used when supplying invalid kwargs
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filler = self.get_kwargs_from_breaks(range(10))
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# invalid closed
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msg = "invalid option for 'closed': invalid"
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with pytest.raises(ValueError, match=msg):
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constructor(closed="invalid", **filler)
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# unsupported dtype
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msg = "dtype must be an IntervalDtype, got int64"
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with pytest.raises(TypeError, match=msg):
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constructor(dtype="int64", **filler)
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# invalid dtype
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msg = "data type [\"']invalid[\"'] not understood"
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with pytest.raises(TypeError, match=msg):
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constructor(dtype="invalid", **filler)
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# no point in nesting periods in an IntervalIndex
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periods = period_range("2000-01-01", periods=10)
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periods_kwargs = self.get_kwargs_from_breaks(periods)
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msg = "Period dtypes are not supported, use a PeriodIndex instead"
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with pytest.raises(ValueError, match=msg):
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constructor(**periods_kwargs)
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# decreasing values
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decreasing_kwargs = self.get_kwargs_from_breaks(range(10, -1, -1))
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msg = "left side of interval must be <= right side"
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with pytest.raises(ValueError, match=msg):
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constructor(**decreasing_kwargs)
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class TestFromArrays(ConstructorTests):
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"""Tests specific to IntervalIndex.from_arrays"""
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@pytest.fixture
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def constructor(self):
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return IntervalIndex.from_arrays
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def get_kwargs_from_breaks(self, breaks, closed="right"):
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"""
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converts intervals in breaks format to a dictionary of kwargs to
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specific to the format expected by IntervalIndex.from_arrays
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"""
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return {"left": breaks[:-1], "right": breaks[1:]}
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def test_constructor_errors(self):
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# GH 19016: categorical data
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data = Categorical(list("01234abcde"), ordered=True)
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msg = (
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"category, object, and string subtypes are not supported "
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"for IntervalIndex"
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)
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with pytest.raises(TypeError, match=msg):
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IntervalIndex.from_arrays(data[:-1], data[1:])
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# unequal length
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left = [0, 1, 2]
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right = [2, 3]
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msg = "left and right must have the same length"
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with pytest.raises(ValueError, match=msg):
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IntervalIndex.from_arrays(left, right)
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@pytest.mark.parametrize(
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"left_subtype, right_subtype", [(np.int64, np.float64), (np.float64, np.int64)]
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)
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def test_mixed_float_int(self, left_subtype, right_subtype):
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"""mixed int/float left/right results in float for both sides"""
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left = np.arange(9, dtype=left_subtype)
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right = np.arange(1, 10, dtype=right_subtype)
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result = IntervalIndex.from_arrays(left, right)
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expected_left = Float64Index(left)
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expected_right = Float64Index(right)
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expected_subtype = np.float64
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tm.assert_index_equal(result.left, expected_left)
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tm.assert_index_equal(result.right, expected_right)
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assert result.dtype.subtype == expected_subtype
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class TestFromBreaks(ConstructorTests):
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"""Tests specific to IntervalIndex.from_breaks"""
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@pytest.fixture
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def constructor(self):
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return IntervalIndex.from_breaks
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def get_kwargs_from_breaks(self, breaks, closed="right"):
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"""
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converts intervals in breaks format to a dictionary of kwargs to
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specific to the format expected by IntervalIndex.from_breaks
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"""
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return {"breaks": breaks}
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def test_constructor_errors(self):
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# GH 19016: categorical data
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data = Categorical(list("01234abcde"), ordered=True)
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msg = (
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"category, object, and string subtypes are not supported "
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"for IntervalIndex"
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)
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with pytest.raises(TypeError, match=msg):
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IntervalIndex.from_breaks(data)
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def test_length_one(self):
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"""breaks of length one produce an empty IntervalIndex"""
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breaks = [0]
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result = IntervalIndex.from_breaks(breaks)
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expected = IntervalIndex.from_breaks([])
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tm.assert_index_equal(result, expected)
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def test_left_right_dont_share_data(self):
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# GH#36310
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breaks = np.arange(5)
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result = IntervalIndex.from_breaks(breaks)._data
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assert result._left.base is None or result._left.base is not result._right.base
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class TestFromTuples(ConstructorTests):
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"""Tests specific to IntervalIndex.from_tuples"""
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@pytest.fixture
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def constructor(self):
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return IntervalIndex.from_tuples
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def get_kwargs_from_breaks(self, breaks, closed="right"):
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"""
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converts intervals in breaks format to a dictionary of kwargs to
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specific to the format expected by IntervalIndex.from_tuples
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"""
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if len(breaks) == 0:
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return {"data": breaks}
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tuples = list(zip(breaks[:-1], breaks[1:]))
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if isinstance(breaks, (list, tuple)):
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return {"data": tuples}
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elif is_categorical_dtype(breaks):
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return {"data": breaks._constructor(tuples)}
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return {"data": com.asarray_tuplesafe(tuples)}
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def test_constructor_errors(self):
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# non-tuple
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tuples = [(0, 1), 2, (3, 4)]
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msg = "IntervalIndex.from_tuples received an invalid item, 2"
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with pytest.raises(TypeError, match=msg.format(t=tuples)):
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IntervalIndex.from_tuples(tuples)
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# too few/many items
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tuples = [(0, 1), (2,), (3, 4)]
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msg = "IntervalIndex.from_tuples requires tuples of length 2, got {t}"
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with pytest.raises(ValueError, match=msg.format(t=tuples)):
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IntervalIndex.from_tuples(tuples)
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tuples = [(0, 1), (2, 3, 4), (5, 6)]
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with pytest.raises(ValueError, match=msg.format(t=tuples)):
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IntervalIndex.from_tuples(tuples)
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def test_na_tuples(self):
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# tuple (NA, NA) evaluates the same as NA as an element
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na_tuple = [(0, 1), (np.nan, np.nan), (2, 3)]
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idx_na_tuple = IntervalIndex.from_tuples(na_tuple)
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idx_na_element = IntervalIndex.from_tuples([(0, 1), np.nan, (2, 3)])
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tm.assert_index_equal(idx_na_tuple, idx_na_element)
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class TestClassConstructors(ConstructorTests):
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"""Tests specific to the IntervalIndex/Index constructors"""
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@pytest.fixture(
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params=[IntervalIndex, partial(Index, dtype="interval")],
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ids=["IntervalIndex", "Index"],
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)
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def constructor(self, request):
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return request.param
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def get_kwargs_from_breaks(self, breaks, closed="right"):
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"""
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converts intervals in breaks format to a dictionary of kwargs to
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specific to the format expected by the IntervalIndex/Index constructors
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"""
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if len(breaks) == 0:
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return {"data": breaks}
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ivs = [
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Interval(left, right, closed) if notna(left) else left
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for left, right in zip(breaks[:-1], breaks[1:])
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]
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if isinstance(breaks, list):
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return {"data": ivs}
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elif is_categorical_dtype(breaks):
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return {"data": breaks._constructor(ivs)}
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return {"data": np.array(ivs, dtype=object)}
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def test_generic_errors(self, constructor):
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"""
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override the base class implementation since errors are handled
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differently; checks unnecessary since caught at the Interval level
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"""
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pass
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def test_constructor_string(self):
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# GH23013
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# When forming the interval from breaks,
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# the interval of strings is already forbidden.
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pass
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def test_constructor_errors(self, constructor):
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# mismatched closed within intervals with no constructor override
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ivs = [Interval(0, 1, closed="right"), Interval(2, 3, closed="left")]
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msg = "intervals must all be closed on the same side"
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with pytest.raises(ValueError, match=msg):
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constructor(ivs)
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# scalar
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msg = (
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r"IntervalIndex\(...\) must be called with a collection of "
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"some kind, 5 was passed"
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)
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with pytest.raises(TypeError, match=msg):
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constructor(5)
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# not an interval
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msg = "type <class 'numpy.int64'> with value 0 is not an interval"
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with pytest.raises(TypeError, match=msg):
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constructor([0, 1])
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@pytest.mark.parametrize(
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"data, closed",
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[
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([], "both"),
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([np.nan, np.nan], "neither"),
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(
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[Interval(0, 3, closed="neither"), Interval(2, 5, closed="neither")],
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"left",
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),
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(
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[Interval(0, 3, closed="left"), Interval(2, 5, closed="right")],
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"neither",
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),
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(IntervalIndex.from_breaks(range(5), closed="both"), "right"),
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],
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)
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def test_override_inferred_closed(self, constructor, data, closed):
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# GH 19370
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if isinstance(data, IntervalIndex):
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tuples = data.to_tuples()
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else:
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tuples = [(iv.left, iv.right) if notna(iv) else iv for iv in data]
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expected = IntervalIndex.from_tuples(tuples, closed=closed)
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result = constructor(data, closed=closed)
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize(
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"values_constructor", [list, np.array, IntervalIndex, IntervalArray]
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)
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def test_index_object_dtype(self, values_constructor):
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# Index(intervals, dtype=object) is an Index (not an IntervalIndex)
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intervals = [Interval(0, 1), Interval(1, 2), Interval(2, 3)]
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values = values_constructor(intervals)
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result = Index(values, dtype=object)
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assert type(result) is Index
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tm.assert_numpy_array_equal(result.values, np.array(values))
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def test_index_mixed_closed(self):
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# GH27172
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intervals = [
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Interval(0, 1, closed="left"),
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Interval(1, 2, closed="right"),
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Interval(2, 3, closed="neither"),
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Interval(3, 4, closed="both"),
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]
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result = Index(intervals)
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expected = Index(intervals, dtype=object)
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tm.assert_index_equal(result, expected)
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