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| import pytest
|
| from pandas import (
| Index,
| Series,
| )
| import pandas._testing as tm
| from pandas.api.types import is_bool_dtype
|
|
| @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
| ):
| ser = Series(data=data, index=index)
| result = ser.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'
| ser = Series(range(3), index=list("abc"))
| result = ser.drop("bc", errors="ignore")
| tm.assert_series_equal(result, ser)
| result = ser.drop(["a", "d"], errors="ignore")
| expected = ser.iloc[1:]
| tm.assert_series_equal(result, expected)
|
| # GH 8522
| ser = Series([2, 3], index=[True, False])
| assert is_bool_dtype(ser.index)
| assert ser.index.dtype == bool
| result = ser.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 = Series(index=index, dtype=object).drop(drop_labels)
| expected = 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 = Series(data=data, index=index, dtype=dtype)
| with pytest.raises(KeyError, match="not found in axis"):
| ser.drop(drop_labels)
|
|
| def test_drop_index_ea_dtype(any_numeric_ea_dtype):
| # GH#45860
| df = Series(100, index=Index([1, 2, 2], dtype=any_numeric_ea_dtype))
| idx = Index([df.index[1]])
| result = df.drop(idx)
| expected = Series(100, index=Index([1], dtype=any_numeric_ea_dtype))
| tm.assert_series_equal(result, expected)
|
|
