Na}{

File Content: `test_iat.py`

import numpy as np

from pandas import (
    DataFrame,
    Series,
    period_range,
)


def test_iat(float_frame):
    for i, row in enumerate(float_frame.index):
        for j, col in enumerate(float_frame.columns):
            result = float_frame.iat[i, j]
            expected = float_frame.at[row, col]
            assert result == expected


def test_iat_duplicate_columns():
    # https://github.com/pandas-dev/pandas/issues/11754
    df = DataFrame([[1, 2]], columns=["x", "x"])
    assert df.iat[0, 0] == 1


def test_iat_getitem_series_with_period_index():
    # GH#4390, iat incorrectly indexing
    index = period_range("1/1/2001", periods=10)
    ser = Series(np.random.randn(10), index=index)
    expected = ser[index[0]]
    result = ser.iat[0]
    assert expected == result


def test_iat_setitem_item_cache_cleared(indexer_ial, using_copy_on_write):
    # GH#45684
    data = {"x": np.arange(8, dtype=np.int64), "y": np.int64(0)}
    df = DataFrame(data).copy()
    ser = df["y"]

    # previously this iat setting would split the block and fail to clear
    #  the item_cache.
    indexer_ial(df)[7, 0] = 9999

    indexer_ial(df)[7, 1] = 1234

    assert df.iat[7, 1] == 1234
    if not using_copy_on_write:
        assert ser.iloc[-1] == 1234
    assert df.iloc[-1, -1] == 1234

Name	Size	Permission
__pycache__	---	2755
interval	---	2755
multiindex	---	2755
__init__.py	0 bytes	0644
common.py	1021 bytes	0644
conftest.py	2168 bytes	0644
test_at.py	7900 bytes	0644
test_categorical.py	19105 bytes	0644
test_chaining_and_caching.py	22586 bytes	0644
test_check_indexer.py	3159 bytes	0644
test_coercion.py	30811 bytes	0644
test_datetime.py	5645 bytes	0644
test_floats.py	19820 bytes	0644
test_iat.py	1300 bytes	0644
test_iloc.py	49732 bytes	0644
test_indexers.py	1661 bytes	0644
test_indexing.py	37760 bytes	0644
test_loc.py	113105 bytes	0644
test_na_indexing.py	2322 bytes	0644
test_partial.py	23776 bytes	0644
test_scalar.py	9373 bytes	0644

File Content: test_iat.py

File Content: `test_iat.py`