50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
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import numpy as np
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from pandas import date_range, Index
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import pandas.util.testing as tm
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from pandas.core.reshape.util import cartesian_product
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class TestCartesianProduct(object):
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def test_simple(self):
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x, y = list('ABC'), [1, 22]
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result1, result2 = cartesian_product([x, y])
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expected1 = np.array(['A', 'A', 'B', 'B', 'C', 'C'])
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expected2 = np.array([1, 22, 1, 22, 1, 22])
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tm.assert_numpy_array_equal(result1, expected1)
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tm.assert_numpy_array_equal(result2, expected2)
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def test_datetimeindex(self):
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# regression test for GitHub issue #6439
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# make sure that the ordering on datetimeindex is consistent
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x = date_range('2000-01-01', periods=2)
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result1, result2 = [Index(y).day for y in cartesian_product([x, x])]
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expected1 = Index([1, 1, 2, 2])
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expected2 = Index([1, 2, 1, 2])
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tm.assert_index_equal(result1, expected1)
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tm.assert_index_equal(result2, expected2)
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def test_empty(self):
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# product of empty factors
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X = [[], [0, 1], []]
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Y = [[], [], ['a', 'b', 'c']]
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for x, y in zip(X, Y):
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expected1 = np.array([], dtype=np.asarray(x).dtype)
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expected2 = np.array([], dtype=np.asarray(y).dtype)
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result1, result2 = cartesian_product([x, y])
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tm.assert_numpy_array_equal(result1, expected1)
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tm.assert_numpy_array_equal(result2, expected2)
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# empty product (empty input):
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result = cartesian_product([])
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expected = []
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assert result == expected
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def test_invalid_input(self):
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invalid_inputs = [1, [1], [1, 2], [[1], 2],
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'a', ['a'], ['a', 'b'], [['a'], 'b']]
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msg = "Input must be a list-like of list-likes"
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for X in invalid_inputs:
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tm.assert_raises_regex(TypeError, msg, cartesian_product, X=X)
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