68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
import numpy as np
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from pandas import DataFrame, MultiIndex
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import pandas._testing as tm
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from pandas.core.arrays import PandasArray
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class TestToDictOfBlocks:
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def test_copy_blocks(self, float_frame):
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# GH#9607
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df = DataFrame(float_frame, copy=True)
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column = df.columns[0]
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# use the default copy=True, change a column
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blocks = df._to_dict_of_blocks(copy=True)
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for dtype, _df in blocks.items():
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if column in _df:
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_df.loc[:, column] = _df[column] + 1
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# make sure we did not change the original DataFrame
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assert not _df[column].equals(df[column])
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def test_no_copy_blocks(self, float_frame):
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# GH#9607
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df = DataFrame(float_frame, copy=True)
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column = df.columns[0]
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# use the copy=False, change a column
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blocks = df._to_dict_of_blocks(copy=False)
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for dtype, _df in blocks.items():
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if column in _df:
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_df.loc[:, column] = _df[column] + 1
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# make sure we did change the original DataFrame
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assert _df[column].equals(df[column])
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def test_to_dict_of_blocks_item_cache():
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# Calling to_dict_of_blocks should not poison item_cache
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df = DataFrame({"a": [1, 2, 3, 4], "b": ["a", "b", "c", "d"]})
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df["c"] = PandasArray(np.array([1, 2, None, 3], dtype=object))
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mgr = df._mgr
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assert len(mgr.blocks) == 3 # i.e. not consolidated
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ser = df["b"] # populations item_cache["b"]
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df._to_dict_of_blocks()
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# Check that the to_dict_of_blocks didnt break link between ser and df
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ser.values[0] = "foo"
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assert df.loc[0, "b"] == "foo"
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assert df["b"] is ser
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def test_set_change_dtype_slice():
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# GH#8850
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cols = MultiIndex.from_tuples([("1st", "a"), ("2nd", "b"), ("3rd", "c")])
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df = DataFrame([[1.0, 2, 3], [4.0, 5, 6]], columns=cols)
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df["2nd"] = df["2nd"] * 2.0
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blocks = df._to_dict_of_blocks()
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assert sorted(blocks.keys()) == ["float64", "int64"]
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tm.assert_frame_equal(
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blocks["float64"], DataFrame([[1.0, 4.0], [4.0, 10.0]], columns=cols[:2])
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)
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tm.assert_frame_equal(blocks["int64"], DataFrame([[3], [6]], columns=cols[2:]))
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