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- 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
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