FM / methods

/usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods/

/usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods

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.py (2986B)

import pytest

import pandas as pd
from pandas import Series
import pandas._testing as tm

@pytest.mark.parametrize(
    "data, index, drop_labels, axis, expected_data, expected_index",
    [
        # Unique Index
        ([1, 2], ["one", "two"], ["two"], 0, [1], ["one"]),
        ([1, 2], ["one", "two"], ["two"], "rows", [1], ["one"]),
        ([1, 1, 2], ["one", "two", "one"], ["two"], 0, [1, 2], ["one", "one"]),
        # GH 5248 Non-Unique Index
        ([1, 1, 2], ["one", "two", "one"], "two", 0, [1, 2], ["one", "one"]),
        ([1, 1, 2], ["one", "two", "one"], ["one"], 0, [1], ["two"]),
        ([1, 1, 2], ["one", "two", "one"], "one", 0, [1], ["two"]),
    ],
)
def test_drop_unique_and_non_unique_index(
    data, index, axis, drop_labels, expected_data, expected_index
):

s = Series(data=data, index=index)
    result = s.drop(drop_labels, axis=axis)
    expected = Series(data=expected_data, index=expected_index)
    tm.assert_series_equal(result, expected)

@pytest.mark.parametrize(
    "data, index, drop_labels, axis, error_type, error_desc",
    [
        # single string/tuple-like
        (range(3), list("abc"), "bc", 0, KeyError, "not found in axis"),
        # bad axis
        (range(3), list("abc"), ("a",), 0, KeyError, "not found in axis"),
        (range(3), list("abc"), "one", "columns", ValueError, "No axis named columns"),
    ],
)
def test_drop_exception_raised(data, index, drop_labels, axis, error_type, error_desc):
    ser = Series(data, index=index)
    with pytest.raises(error_type, match=error_desc):
        ser.drop(drop_labels, axis=axis)

def test_drop_with_ignore_errors():
    # errors='ignore'
    s = Series(range(3), index=list("abc"))
    result = s.drop("bc", errors="ignore")
    tm.assert_series_equal(result, s)
    result = s.drop(["a", "d"], errors="ignore")
    expected = s.iloc[1:]
    tm.assert_series_equal(result, expected)

# GH 8522
    s = Series([2, 3], index=[True, False])
    assert s.index.is_object()
    result = s.drop(True)
    expected = Series([3], index=[False])
    tm.assert_series_equal(result, expected)

@pytest.mark.parametrize("index", [[1, 2, 3], [1, 1, 3]])
@pytest.mark.parametrize("drop_labels", [[], [1], [3]])
def test_drop_empty_list(index, drop_labels):
    # GH 21494
    expected_index = [i for i in index if i not in drop_labels]
    series = pd.Series(index=index, dtype=object).drop(drop_labels)
    expected = pd.Series(index=expected_index, dtype=object)
    tm.assert_series_equal(series, expected)

@pytest.mark.parametrize(
    "data, index, drop_labels",
    [
        (None, [1, 2, 3], [1, 4]),
        (None, [1, 2, 2], [1, 4]),
        ([2, 3], [0, 1], [False, True]),
    ],
)
def test_drop_non_empty_list(data, index, drop_labels):
    # GH 21494 and GH 16877
    dtype = object if data is None else None
    ser = pd.Series(data=data, index=index, dtype=dtype)
    with pytest.raises(KeyError, match="not found in axis"):
        ser.drop(drop_labels)

import pytest import pandas as pd from pandas import Series import pandas._testing as tm @pytest.mark.parametrize( "data, index, drop_labels, axis, expected_data, expected_index", [ # Unique Index ([1, 2], ["one", "two"], ["two"], 0, [1], ["one"]), ([1, 2], ["one", "two"], ["two"], "rows", [1], ["one"]), ([1, 1, 2], ["one", "two", "one"], ["two"], 0, [1, 2], ["one", "one"]), # GH 5248 Non-Unique Index ([1, 1, 2], ["one", "two", "one"], "two", 0, [1, 2], ["one", "one"]), ([1, 1, 2], ["one", "two", "one"], ["one"], 0, [1], ["two"]), ([1, 1, 2], ["one", "two", "one"], "one", 0, [1], ["two"]), ], ) def test_drop_unique_and_non_unique_index( data, index, axis, drop_labels, expected_data, expected_index ): s = Series(data=data, index=index) result = s.drop(drop_labels, axis=axis) expected = Series(data=expected_data, index=expected_index) tm.assert_series_equal(result, expected) @pytest.mark.parametrize( "data, index, drop_labels, axis, error_type, error_desc", [ # single string/tuple-like (range(3), list("abc"), "bc", 0, KeyError, "not found in axis"), # bad axis (range(3), list("abc"), ("a",), 0, KeyError, "not found in axis"), (range(3), list("abc"), "one", "columns", ValueError, "No axis named columns"), ], ) def test_drop_exception_raised(data, index, drop_labels, axis, error_type, error_desc): ser = Series(data, index=index) with pytest.raises(error_type, match=error_desc): ser.drop(drop_labels, axis=axis) def test_drop_with_ignore_errors(): # errors='ignore' s = Series(range(3), index=list("abc")) result = s.drop("bc", errors="ignore") tm.assert_series_equal(result, s) result = s.drop(["a", "d"], errors="ignore") expected = s.iloc[1:] tm.assert_series_equal(result, expected) # GH 8522 s = Series([2, 3], index=[True, False]) assert s.index.is_object() result = s.drop(True) expected = Series([3], index=[False]) tm.assert_series_equal(result, expected) @pytest.mark.parametrize("index", [[1, 2, 3], [1, 1, 3]]) @pytest.mark.parametrize("drop_labels", [[], [1], [3]]) def test_drop_empty_list(index, drop_labels): # GH 21494 expected_index = [i for i in index if i not in drop_labels] series = pd.Series(index=index, dtype=object).drop(drop_labels) expected = pd.Series(index=expected_index, dtype=object) tm.assert_series_equal(series, expected) @pytest.mark.parametrize( "data, index, drop_labels", [ (None, [1, 2, 3], [1, 4]), (None, [1, 2, 2], [1, 4]), ([2, 3], [0, 1], [False, True]), ], ) def test_drop_non_empty_list(data, index, drop_labels): # GH 21494 and GH 16877 dtype = object if data is None else None ser = pd.Series(data=data, index=index, dtype=dtype) with pytest.raises(KeyError, match="not found in axis"): ser.drop(drop_labels)