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49 lines
1.3 KiB
49 lines
1.3 KiB
1 year ago
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import numpy as np
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from pandas import (
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DataFrame,
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Series,
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period_range,
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)
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def test_iat(float_frame):
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for i, row in enumerate(float_frame.index):
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for j, col in enumerate(float_frame.columns):
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result = float_frame.iat[i, j]
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expected = float_frame.at[row, col]
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assert result == expected
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def test_iat_duplicate_columns():
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# https://github.com/pandas-dev/pandas/issues/11754
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df = DataFrame([[1, 2]], columns=["x", "x"])
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assert df.iat[0, 0] == 1
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def test_iat_getitem_series_with_period_index():
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# GH#4390, iat incorrectly indexing
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index = period_range("1/1/2001", periods=10)
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ser = Series(np.random.default_rng(2).standard_normal(10), index=index)
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expected = ser[index[0]]
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result = ser.iat[0]
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assert expected == result
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def test_iat_setitem_item_cache_cleared(indexer_ial, using_copy_on_write):
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# GH#45684
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data = {"x": np.arange(8, dtype=np.int64), "y": np.int64(0)}
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df = DataFrame(data).copy()
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ser = df["y"]
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# previously this iat setting would split the block and fail to clear
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# the item_cache.
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indexer_ial(df)[7, 0] = 9999
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indexer_ial(df)[7, 1] = 1234
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assert df.iat[7, 1] == 1234
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if not using_copy_on_write:
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assert ser.iloc[-1] == 1234
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assert df.iloc[-1, -1] == 1234
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