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| import numpy as np
|
| from pandas import (
| PeriodIndex,
| factorize,
| )
| import pandas._testing as tm
|
|
| class TestFactorize:
| def test_factorize(self):
| idx1 = PeriodIndex(
| ["2014-01", "2014-01", "2014-02", "2014-02", "2014-03", "2014-03"], freq="M"
| )
|
| exp_arr = np.array([0, 0, 1, 1, 2, 2], dtype=np.intp)
| exp_idx = PeriodIndex(["2014-01", "2014-02", "2014-03"], freq="M")
|
| arr, idx = idx1.factorize()
| tm.assert_numpy_array_equal(arr, exp_arr)
| tm.assert_index_equal(idx, exp_idx)
|
| arr, idx = idx1.factorize(sort=True)
| tm.assert_numpy_array_equal(arr, exp_arr)
| tm.assert_index_equal(idx, exp_idx)
|
| idx2 = PeriodIndex(
| ["2014-03", "2014-03", "2014-02", "2014-01", "2014-03", "2014-01"], freq="M"
| )
|
| exp_arr = np.array([2, 2, 1, 0, 2, 0], dtype=np.intp)
| arr, idx = idx2.factorize(sort=True)
| tm.assert_numpy_array_equal(arr, exp_arr)
| tm.assert_index_equal(idx, exp_idx)
|
| exp_arr = np.array([0, 0, 1, 2, 0, 2], dtype=np.intp)
| exp_idx = PeriodIndex(["2014-03", "2014-02", "2014-01"], freq="M")
| arr, idx = idx2.factorize()
| tm.assert_numpy_array_equal(arr, exp_arr)
| tm.assert_index_equal(idx, exp_idx)
|
| def test_factorize_complex(self):
| # GH 17927
| array = [1, 2, 2 + 1j]
| labels, uniques = factorize(array)
|
| expected_labels = np.array([0, 1, 2], dtype=np.intp)
| tm.assert_numpy_array_equal(labels, expected_labels)
|
| # Should return a complex dtype in the future
| expected_uniques = np.array([(1 + 0j), (2 + 0j), (2 + 1j)], dtype=object)
| tm.assert_numpy_array_equal(uniques, expected_uniques)
|
|
