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102 changes: 102 additions & 0 deletions pandas/tests/indexes/datetimes/methods/test_factorize.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,102 @@
import numpy as np

from pandas import DatetimeIndex, Index, date_range, factorize
import pandas._testing as tm


class TestDatetimeIndexFactorize:
def test_factorize(self):
idx1 = DatetimeIndex(
["2014-01", "2014-01", "2014-02", "2014-02", "2014-03", "2014-03"]
)

exp_arr = np.array([0, 0, 1, 1, 2, 2], dtype=np.intp)
exp_idx = DatetimeIndex(["2014-01", "2014-02", "2014-03"])

arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

arr, idx = idx1.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

# tz must be preserved
idx1 = idx1.tz_localize("Asia/Tokyo")
exp_idx = exp_idx.tz_localize("Asia/Tokyo")

arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

idx2 = DatetimeIndex(
["2014-03", "2014-03", "2014-02", "2014-01", "2014-03", "2014-01"]
)

exp_arr = np.array([2, 2, 1, 0, 2, 0], dtype=np.intp)
exp_idx = DatetimeIndex(["2014-01", "2014-02", "2014-03"])
arr, idx = idx2.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

exp_arr = np.array([0, 0, 1, 2, 0, 2], dtype=np.intp)
exp_idx = DatetimeIndex(["2014-03", "2014-02", "2014-01"])
arr, idx = idx2.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

def test_factorize_preserves_freq(self):
# GH#38120 freq should be preserved
idx3 = date_range("2000-01", periods=4, freq="M", tz="Asia/Tokyo")
exp_arr = np.array([0, 1, 2, 3], dtype=np.intp)

arr, idx = idx3.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq

arr, idx = factorize(idx3)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq

def test_factorize_tz(self, tz_naive_fixture, index_or_series):
tz = tz_naive_fixture
# GH#13750
base = date_range("2016-11-05", freq="H", periods=100, tz=tz)
idx = base.repeat(5)

exp_arr = np.arange(100, dtype=np.intp).repeat(5)

obj = index_or_series(idx)

arr, res = obj.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
expected = base._with_freq(None)
tm.assert_index_equal(res, expected)
assert res.freq == expected.freq

def test_factorize_dst(self, index_or_series):
# GH#13750
idx = date_range("2016-11-06", freq="H", periods=12, tz="US/Eastern")
obj = index_or_series(idx)

arr, res = obj.factorize()
tm.assert_numpy_array_equal(arr, np.arange(12, dtype=np.intp))
tm.assert_index_equal(res, idx)
if index_or_series is Index:
assert res.freq == idx.freq

idx = date_range("2016-06-13", freq="H", periods=12, tz="US/Eastern")
obj = index_or_series(idx)

arr, res = obj.factorize()
tm.assert_numpy_array_equal(arr, np.arange(12, dtype=np.intp))
tm.assert_index_equal(res, idx)
if index_or_series is Index:
assert res.freq == idx.freq
96 changes: 0 additions & 96 deletions pandas/tests/indexes/datetimes/test_datetime.py
Original file line number Diff line number Diff line change
Expand Up @@ -200,102 +200,6 @@ def test_ns_index(self):
new_index = date_range(start=index[0], end=index[-1], freq=index.freq)
self.assert_index_parameters(new_index)

def test_factorize(self):
idx1 = DatetimeIndex(
["2014-01", "2014-01", "2014-02", "2014-02", "2014-03", "2014-03"]
)

exp_arr = np.array([0, 0, 1, 1, 2, 2], dtype=np.intp)
exp_idx = DatetimeIndex(["2014-01", "2014-02", "2014-03"])

arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

arr, idx = idx1.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

# tz must be preserved
idx1 = idx1.tz_localize("Asia/Tokyo")
exp_idx = exp_idx.tz_localize("Asia/Tokyo")

arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

idx2 = DatetimeIndex(
["2014-03", "2014-03", "2014-02", "2014-01", "2014-03", "2014-01"]
)

exp_arr = np.array([2, 2, 1, 0, 2, 0], dtype=np.intp)
exp_idx = DatetimeIndex(["2014-01", "2014-02", "2014-03"])
arr, idx = idx2.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

exp_arr = np.array([0, 0, 1, 2, 0, 2], dtype=np.intp)
exp_idx = DatetimeIndex(["2014-03", "2014-02", "2014-01"])
arr, idx = idx2.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

def test_factorize_preserves_freq(self):
# GH#38120 freq should be preserved
idx3 = date_range("2000-01", periods=4, freq="M", tz="Asia/Tokyo")
exp_arr = np.array([0, 1, 2, 3], dtype=np.intp)

arr, idx = idx3.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq

arr, idx = pd.factorize(idx3)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq

def test_factorize_tz(self, tz_naive_fixture, index_or_series):
tz = tz_naive_fixture
# GH#13750
base = date_range("2016-11-05", freq="H", periods=100, tz=tz)
idx = base.repeat(5)

exp_arr = np.arange(100, dtype=np.intp).repeat(5)

obj = index_or_series(idx)

arr, res = obj.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
expected = base._with_freq(None)
tm.assert_index_equal(res, expected)
assert res.freq == expected.freq

def test_factorize_dst(self, index_or_series):
# GH 13750
idx = date_range("2016-11-06", freq="H", periods=12, tz="US/Eastern")
obj = index_or_series(idx)

arr, res = obj.factorize()
tm.assert_numpy_array_equal(arr, np.arange(12, dtype=np.intp))
tm.assert_index_equal(res, idx)
if index_or_series is Index:
assert res.freq == idx.freq

idx = date_range("2016-06-13", freq="H", periods=12, tz="US/Eastern")
obj = index_or_series(idx)

arr, res = obj.factorize()
tm.assert_numpy_array_equal(arr, np.arange(12, dtype=np.intp))
tm.assert_index_equal(res, idx)
if index_or_series is Index:
assert res.freq == idx.freq

@pytest.mark.parametrize(
"arr, expected",
[
Expand Down
36 changes: 36 additions & 0 deletions pandas/tests/indexes/timedeltas/methods/test_factorize.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
import numpy as np

from pandas import TimedeltaIndex, factorize, timedelta_range
import pandas._testing as tm


class TestTimedeltaIndexFactorize:
def test_factorize(self):
idx1 = TimedeltaIndex(["1 day", "1 day", "2 day", "2 day", "3 day", "3 day"])

exp_arr = np.array([0, 0, 1, 1, 2, 2], dtype=np.intp)
exp_idx = TimedeltaIndex(["1 day", "2 day", "3 day"])

arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

arr, idx = idx1.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

def test_factorize_preserves_freq(self):
# GH#38120 freq should be preserved
idx3 = timedelta_range("1 day", periods=4, freq="s")
exp_arr = np.array([0, 1, 2, 3], dtype=np.intp)
arr, idx = idx3.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq

arr, idx = factorize(idx3)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq
30 changes: 0 additions & 30 deletions pandas/tests/indexes/timedeltas/test_timedelta.py
Original file line number Diff line number Diff line change
Expand Up @@ -65,36 +65,6 @@ def test_isin(self):
index.isin([index[2], 5]), np.array([False, False, True, False])
)

def test_factorize(self):
idx1 = TimedeltaIndex(["1 day", "1 day", "2 day", "2 day", "3 day", "3 day"])

exp_arr = np.array([0, 0, 1, 1, 2, 2], dtype=np.intp)
exp_idx = TimedeltaIndex(["1 day", "2 day", "3 day"])

arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

arr, idx = idx1.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
assert idx.freq == exp_idx.freq

def test_factorize_preserves_freq(self):
# GH#38120 freq should be preserved
idx3 = timedelta_range("1 day", periods=4, freq="s")
exp_arr = np.array([0, 1, 2, 3], dtype=np.intp)
arr, idx = idx3.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq

arr, idx = pd.factorize(idx3)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
assert idx.freq == idx3.freq

def test_sort_values(self):

idx = TimedeltaIndex(["4d", "1d", "2d"])
Expand Down