38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
import numpy as np
|
|
|
|
from pandas import PeriodIndex
|
|
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)
|