/
usr
/
local
/
lib64
/
python3.6
/
site-packages
/
pandas
/
tests
/
series
/
methods
/
/usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods
mkdir
upload
Name
Size
Mode
Actions
__pycache__/
-
0755
rm
test_align.py
5359
0644
edit
dl
rm
test_append.py
9600
0644
edit
dl
rm
test_argsort.py
2249
0644
edit
dl
rm
test_asfreq.py
3616
0644
edit
dl
rm
test_asof.py
5515
0644
edit
dl
rm
test_astype.py
2628
0644
edit
dl
rm
test_at_time.py
2629
0644
edit
dl
rm
test_autocorr.py
999
0644
edit
dl
rm
test_between.py
1197
0644
edit
dl
rm
test_between_time.py
5086
0644
edit
dl
rm
test_clip.py
3384
0644
edit
dl
rm
test_combine.py
627
0644
edit
dl
rm
test_combine_first.py
3411
0644
edit
dl
rm
test_compare.py
3734
0644
edit
dl
rm
test_convert_dtypes.py
9914
0644
edit
dl
rm
test_count.py
1123
0644
edit
dl
rm
test_cov_corr.py
5215
0644
edit
dl
rm
test_describe.py
4640
0644
edit
dl
rm
test_diff.py
2331
0644
edit
dl
rm
test_drop.py
2986
0644
edit
dl
rm
test_droplevel.py
629
0644
edit
dl
rm
test_drop_duplicates.py
6850
0644
edit
dl
rm
test_duplicated.py
996
0644
edit
dl
rm
test_equals.py
1295
0644
edit
dl
rm
test_explode.py
3538
0644
edit
dl
rm
test_fillna.py
6513
0644
edit
dl
rm
test_first_and_last.py
2042
0644
edit
dl
rm
test_head_tail.py
343
0644
edit
dl
rm
test_interpolate.py
27757
0644
edit
dl
rm
test_isin.py
3445
0644
edit
dl
rm
test_nlargest.py
7121
0644
edit
dl
rm
test_pct_change.py
2968
0644
edit
dl
rm
test_quantile.py
6810
0644
edit
dl
rm
test_rank.py
20287
0644
edit
dl
rm
test_reindex_like.py
1245
0644
edit
dl
rm
test_rename.py
3378
0644
edit
dl
rm
test_rename_axis.py
1503
0644
edit
dl
rm
test_replace.py
15559
0644
edit
dl
rm
test_reset_index.py
4636
0644
edit
dl
rm
test_round.py
1970
0644
edit
dl
rm
test_searchsorted.py
2121
0644
edit
dl
rm
test_shift.py
12595
0644
edit
dl
rm
test_sort_index.py
12277
0644
edit
dl
rm
test_sort_values.py
7981
0644
edit
dl
rm
test_to_dict.py
742
0644
edit
dl
rm
test_to_period.py
1755
0644
edit
dl
rm
test_to_timestamp.py
2616
0644
edit
dl
rm
test_truncate.py
5557
0644
edit
dl
rm
test_tz_convert.py
1008
0644
edit
dl
rm
test_tz_localize.py
3108
0644
edit
dl
rm
test_unstack.py
4208
0644
edit
dl
rm
test_update.py
4213
0644
edit
dl
rm
test_value_counts.py
8136
0644
edit
dl
rm
__init__.py
225
0644
edit
dl
rm
Edit:
/usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods/test_drop_duplicates.py
(6850B)
import numpy as np import pytest 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.mark.parametrize( "dtype", ["int_", "uint", "float_", "unicode_", "timedelta64[h]", "datetime64[D]"], ) def test_drop_duplicates_categorical_non_bool(self, dtype, ordered): cat_array = np.array([1, 2, 3, 4, 5], dtype=np.dtype(dtype)) # Test case 1 input1 = np.array([1, 2, 3, 3], dtype=np.dtype(dtype)) tc1 = Series(Categorical(input1, categories=cat_array, ordered=ordered)) if dtype == "datetime64[D]": # pre-empty flaky xfail, tc1 values are seemingly-random if not (np.array(tc1) == input1).all(): pytest.xfail(reason="GH#7996") expected = Series([False, False, False, True]) tm.assert_series_equal(tc1.duplicated(), expected) tm.assert_series_equal(tc1.drop_duplicates(), tc1[~expected]) sc = tc1.copy() return_value = sc.drop_duplicates(inplace=True) assert return_value is None tm.assert_series_equal(sc, tc1[~expected]) expected = Series([False, False, True, False]) tm.assert_series_equal(tc1.duplicated(keep="last"), expected) tm.assert_series_equal(tc1.drop_duplicates(keep="last"), 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]) expected = Series([False, False, True, True]) tm.assert_series_equal(tc1.duplicated(keep=False), expected) tm.assert_series_equal(tc1.drop_duplicates(keep=False), 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]) # Test case 2 input2 = np.array([1, 2, 3, 5, 3, 2, 4], dtype=np.dtype(dtype)) tc2 = Series(Categorical(input2, categories=cat_array, ordered=ordered)) if dtype == "datetime64[D]": # pre-empty flaky xfail, tc2 values are seemingly-random if not (np.array(tc2) == input2).all(): pytest.xfail(reason="GH#7996") expected = Series([False, False, False, False, True, True, False]) tm.assert_series_equal(tc2.duplicated(), expected) tm.assert_series_equal(tc2.drop_duplicates(), tc2[~expected]) sc = tc2.copy() return_value = sc.drop_duplicates(inplace=True) assert return_value is None tm.assert_series_equal(sc, tc2[~expected]) expected = Series([False, True, True, False, False, False, False]) tm.assert_series_equal(tc2.duplicated(keep="last"), expected) tm.assert_series_equal(tc2.drop_duplicates(keep="last"), 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]) expected = Series([False, True, True, False, True, True, False]) tm.assert_series_equal(tc2.duplicated(keep=False), expected) tm.assert_series_equal(tc2.drop_duplicates(keep=False), 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])
Save
cmd:
run