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| import numpy as np
|
| from pandas import PeriodIndex
| import pandas._testing as tm
|
|
| class TestFactorize:
| def test_factorize_period(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)
|
| def test_factorize_period_nonmonotonic(self):
| idx2 = PeriodIndex(
| ["2014-03", "2014-03", "2014-02", "2014-01", "2014-03", "2014-01"],
| freq="M",
| )
| exp_idx = PeriodIndex(["2014-01", "2014-02", "2014-03"], 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)
|
|
