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import numpy as np
import pytest
import pandas.util._test_decorators as td
import pandas as pd
from pandas import (
Categorical,
Series,
)
import pandas._testing as tm
@pytest.mark.parametrize(
"keep, expected",
[
("first", Series([False, False, False, False, True, True, False])),
("last", Series([False, True, True, False, False, False, False])),
(False, Series([False, True, True, False, True, True, False])),
],
)
def test_drop_duplicates(any_numpy_dtype, keep, expected):
tc = Series([1, 0, 3, 5, 3, 0, 4], dtype=np.dtype(any_numpy_dtype))
if tc.dtype == "bool":
pytest.skip("tested separately in test_drop_duplicates_bool")
tm.assert_series_equal(tc.duplicated(keep=keep), expected)
tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected])
sc = tc.copy()
return_value = sc.drop_duplicates(keep=keep, inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc[~expected])
@pytest.mark.parametrize(
"keep, expected",
[
("first", Series([False, False, True, True])),
("last", Series([True, True, False, False])),
(False, Series([True, True, True, True])),
],
)
def test_drop_duplicates_bool(keep, expected):
tc = Series([True, False, True, False])
tm.assert_series_equal(tc.duplicated(keep=keep), expected)
tm.assert_series_equal(tc.drop_duplicates(keep=keep), tc[~expected])
sc = tc.copy()
return_value = sc.drop_duplicates(keep=keep, inplace=True)
tm.assert_series_equal(sc, tc[~expected])
assert return_value is None
@pytest.mark.parametrize("values", [[], list(range(5))])
def test_drop_duplicates_no_duplicates(any_numpy_dtype, keep, values):
tc = Series(values, dtype=np.dtype(any_numpy_dtype))
expected = Series([False] * len(tc), dtype="bool")
if tc.dtype == "bool":
# 0 -> False and 1-> True
# any other value would be duplicated
tc = tc[:2]
expected = expected[:2]
tm.assert_series_equal(tc.duplicated(keep=keep), expected)
result_dropped = tc.drop_duplicates(keep=keep)
tm.assert_series_equal(result_dropped, tc)
# validate shallow copy
assert result_dropped is not tc
class TestSeriesDropDuplicates:
@pytest.fixture(
params=["int_", "uint", "float64", "str_", "timedelta64[h]", "datetime64[D]"]
)
def dtype(self, request):
return request.param
@pytest.fixture
def cat_series_unused_category(self, dtype, ordered):
# Test case 1
cat_array = np.array([1, 2, 3, 4, 5], dtype=np.dtype(dtype))
input1 = np.array([1, 2, 3, 3], dtype=np.dtype(dtype))
cat = Categorical(input1, categories=cat_array, ordered=ordered)
tc1 = Series(cat)
return tc1
def test_drop_duplicates_categorical_non_bool(self, cat_series_unused_category):
tc1 = cat_series_unused_category
expected = Series([False, False, False, True])
result = tc1.duplicated()
tm.assert_series_equal(result, expected)
result = tc1.drop_duplicates()
tm.assert_series_equal(result, tc1[~expected])
sc = tc1.copy()
return_value = sc.drop_duplicates(inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc1[~expected])
def test_drop_duplicates_categorical_non_bool_keeplast(
self, cat_series_unused_category
):
tc1 = cat_series_unused_category
expected = Series([False, False, True, False])
result = tc1.duplicated(keep="last")
tm.assert_series_equal(result, expected)
result = tc1.drop_duplicates(keep="last")
tm.assert_series_equal(result, tc1[~expected])
sc = tc1.copy()
return_value = sc.drop_duplicates(keep="last", inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc1[~expected])
def test_drop_duplicates_categorical_non_bool_keepfalse(
self, cat_series_unused_category
):
tc1 = cat_series_unused_category
expected = Series([False, False, True, True])
result = tc1.duplicated(keep=False)
tm.assert_series_equal(result, expected)
result = tc1.drop_duplicates(keep=False)
tm.assert_series_equal(result, tc1[~expected])
sc = tc1.copy()
return_value = sc.drop_duplicates(keep=False, inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc1[~expected])
@pytest.fixture
def cat_series(self, dtype, ordered):
# no unused categories, unlike cat_series_unused_category
cat_array = np.array([1, 2, 3, 4, 5], dtype=np.dtype(dtype))
input2 = np.array([1, 2, 3, 5, 3, 2, 4], dtype=np.dtype(dtype))
cat = Categorical(input2, categories=cat_array, ordered=ordered)
tc2 = Series(cat)
return tc2
def test_drop_duplicates_categorical_non_bool2(self, cat_series):
tc2 = cat_series
expected = Series([False, False, False, False, True, True, False])
result = tc2.duplicated()
tm.assert_series_equal(result, expected)
result = tc2.drop_duplicates()
tm.assert_series_equal(result, tc2[~expected])
sc = tc2.copy()
return_value = sc.drop_duplicates(inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc2[~expected])
def test_drop_duplicates_categorical_non_bool2_keeplast(self, cat_series):
tc2 = cat_series
expected = Series([False, True, True, False, False, False, False])
result = tc2.duplicated(keep="last")
tm.assert_series_equal(result, expected)
result = tc2.drop_duplicates(keep="last")
tm.assert_series_equal(result, tc2[~expected])
sc = tc2.copy()
return_value = sc.drop_duplicates(keep="last", inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc2[~expected])
def test_drop_duplicates_categorical_non_bool2_keepfalse(self, cat_series):
tc2 = cat_series
expected = Series([False, True, True, False, True, True, False])
result = tc2.duplicated(keep=False)
tm.assert_series_equal(result, expected)
result = tc2.drop_duplicates(keep=False)
tm.assert_series_equal(result, tc2[~expected])
sc = tc2.copy()
return_value = sc.drop_duplicates(keep=False, inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc2[~expected])
def test_drop_duplicates_categorical_bool(self, ordered):
tc = Series(
Categorical(
[True, False, True, False], categories=[True, False], ordered=ordered
)
)
expected = Series([False, False, True, True])
tm.assert_series_equal(tc.duplicated(), expected)
tm.assert_series_equal(tc.drop_duplicates(), tc[~expected])
sc = tc.copy()
return_value = sc.drop_duplicates(inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc[~expected])
expected = Series([True, True, False, False])
tm.assert_series_equal(tc.duplicated(keep="last"), expected)
tm.assert_series_equal(tc.drop_duplicates(keep="last"), tc[~expected])
sc = tc.copy()
return_value = sc.drop_duplicates(keep="last", inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc[~expected])
expected = Series([True, True, True, True])
tm.assert_series_equal(tc.duplicated(keep=False), expected)
tm.assert_series_equal(tc.drop_duplicates(keep=False), tc[~expected])
sc = tc.copy()
return_value = sc.drop_duplicates(keep=False, inplace=True)
assert return_value is None
tm.assert_series_equal(sc, tc[~expected])
def test_drop_duplicates_categorical_bool_na(self, nulls_fixture):
# GH#44351
ser = Series(
Categorical(
[True, False, True, False, nulls_fixture],
categories=[True, False],
ordered=True,
)
)
result = ser.drop_duplicates()
expected = Series(
Categorical([True, False, np.nan], categories=[True, False], ordered=True),
index=[0, 1, 4],
)
tm.assert_series_equal(result, expected)
def test_drop_duplicates_ignore_index(self):
# GH#48304
ser = Series([1, 2, 2, 3])
result = ser.drop_duplicates(ignore_index=True)
expected = Series([1, 2, 3])
tm.assert_series_equal(result, expected)
def test_duplicated_arrow_dtype(self):
td.versioned_importorskip("pyarrow")
ser = Series([True, False, None, False], dtype="bool[pyarrow]")
result = ser.drop_duplicates()
expected = Series([True, False, None], dtype="bool[pyarrow]")
tm.assert_series_equal(result, expected)
def test_drop_duplicates_arrow_strings(self):
# GH#54904
pa = td.versioned_importorskip("pyarrow")
ser = Series(["a", "a"], dtype=pd.ArrowDtype(pa.string()))
result = ser.drop_duplicates()
expecetd = Series(["a"], dtype=pd.ArrowDtype(pa.string()))
tm.assert_series_equal(result, expecetd)
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