113 lines
3.7 KiB
Python
113 lines
3.7 KiB
Python
import pytest
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from pandas import (
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Index,
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Series,
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)
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import pandas._testing as tm
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@pytest.mark.parametrize(
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"data, index, drop_labels, axis, expected_data, expected_index",
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[
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# Unique Index
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([1, 2], ["one", "two"], ["two"], 0, [1], ["one"]),
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([1, 2], ["one", "two"], ["two"], "rows", [1], ["one"]),
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([1, 1, 2], ["one", "two", "one"], ["two"], 0, [1, 2], ["one", "one"]),
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# GH 5248 Non-Unique Index
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([1, 1, 2], ["one", "two", "one"], "two", 0, [1, 2], ["one", "one"]),
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([1, 1, 2], ["one", "two", "one"], ["one"], 0, [1], ["two"]),
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([1, 1, 2], ["one", "two", "one"], "one", 0, [1], ["two"]),
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],
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)
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def test_drop_unique_and_non_unique_index(
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data, index, axis, drop_labels, expected_data, expected_index
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):
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ser = Series(data=data, index=index)
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result = ser.drop(drop_labels, axis=axis)
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expected = Series(data=expected_data, index=expected_index)
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tm.assert_series_equal(result, expected)
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@pytest.mark.parametrize(
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"data, index, drop_labels, axis, error_type, error_desc",
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[
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# single string/tuple-like
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(range(3), list("abc"), "bc", 0, KeyError, "not found in axis"),
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# bad axis
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(range(3), list("abc"), ("a",), 0, KeyError, "not found in axis"),
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(range(3), list("abc"), "one", "columns", ValueError, "No axis named columns"),
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],
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)
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def test_drop_exception_raised(data, index, drop_labels, axis, error_type, error_desc):
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ser = Series(data, index=index)
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with pytest.raises(error_type, match=error_desc):
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ser.drop(drop_labels, axis=axis)
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def test_drop_with_ignore_errors():
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# errors='ignore'
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ser = Series(range(3), index=list("abc"))
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result = ser.drop("bc", errors="ignore")
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tm.assert_series_equal(result, ser)
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result = ser.drop(["a", "d"], errors="ignore")
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expected = ser.iloc[1:]
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tm.assert_series_equal(result, expected)
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# GH 8522
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ser = Series([2, 3], index=[True, False])
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assert not ser.index.is_object()
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assert ser.index.dtype == bool
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result = ser.drop(True)
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expected = Series([3], index=[False])
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tm.assert_series_equal(result, expected)
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@pytest.mark.parametrize("index", [[1, 2, 3], [1, 1, 3]])
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@pytest.mark.parametrize("drop_labels", [[], [1], [3]])
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def test_drop_empty_list(index, drop_labels):
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# GH 21494
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expected_index = [i for i in index if i not in drop_labels]
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series = Series(index=index, dtype=object).drop(drop_labels)
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expected = Series(index=expected_index, dtype=object)
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tm.assert_series_equal(series, expected)
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@pytest.mark.parametrize(
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"data, index, drop_labels",
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[
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(None, [1, 2, 3], [1, 4]),
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(None, [1, 2, 2], [1, 4]),
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([2, 3], [0, 1], [False, True]),
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],
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)
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def test_drop_non_empty_list(data, index, drop_labels):
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# GH 21494 and GH 16877
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dtype = object if data is None else None
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ser = Series(data=data, index=index, dtype=dtype)
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with pytest.raises(KeyError, match="not found in axis"):
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ser.drop(drop_labels)
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def test_drop_pos_args_deprecation():
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# https://github.com/pandas-dev/pandas/issues/41485
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ser = Series([1, 2, 3])
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msg = (
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r"In a future version of pandas all arguments of Series\.drop "
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r"except for the argument 'labels' will be keyword-only"
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)
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with tm.assert_produces_warning(FutureWarning, match=msg):
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result = ser.drop(1, 0)
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expected = Series([1, 3], index=[0, 2])
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tm.assert_series_equal(result, expected)
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def test_drop_index_ea_dtype(any_numeric_ea_dtype):
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# GH#45860
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df = Series(100, index=Index([1, 2, 2], dtype=any_numeric_ea_dtype))
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idx = Index([df.index[1]])
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result = df.drop(idx)
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expected = Series(100, index=Index([1], dtype=any_numeric_ea_dtype))
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tm.assert_series_equal(result, expected)
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