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30 changes: 30 additions & 0 deletions pandas/tests/copy_view/test_methods.py
Original file line number Diff line number Diff line change
Expand Up @@ -367,6 +367,36 @@ def test_reindex_columns(using_copy_on_write):
tm.assert_frame_equal(df, df_orig)


@pytest.mark.parametrize(
"index",
[
lambda idx: idx,
lambda idx: idx.view(),
lambda idx: idx.copy(),
lambda idx: list(idx),
],
ids=["identical", "view", "copy", "values"],
)
def test_reindex_rows(index, using_copy_on_write):
# Case: reindexing the rows with an index that matches the current index
# can use a shallow copy
df = DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [0.1, 0.2, 0.3]})
df_orig = df.copy()
df2 = df.reindex(index=index(df.index))

if using_copy_on_write:
# still shares memory (df2 is a shallow copy)
assert np.shares_memory(get_array(df2, "a"), get_array(df, "a"))
else:
assert not np.shares_memory(get_array(df2, "a"), get_array(df, "a"))
# mutating df2 triggers a copy-on-write for that column
df2.iloc[0, 0] = 0
assert not np.shares_memory(get_array(df2, "a"), get_array(df, "a"))
if using_copy_on_write:
assert np.shares_memory(get_array(df2, "c"), get_array(df, "c"))
tm.assert_frame_equal(df, df_orig)


def test_drop_on_column(using_copy_on_write):
df = DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [0.1, 0.2, 0.3]})
df_orig = df.copy()
Expand Down