112 lines
4.0 KiB
Python
112 lines
4.0 KiB
Python
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import numpy as np
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import pytest
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from pandas import (
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DataFrame,
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Index,
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MultiIndex,
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)
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import pandas._testing as tm
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class TestDataFrameRenameAxis:
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def test_rename_axis_inplace(self, float_frame):
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# GH#15704
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expected = float_frame.rename_axis("foo")
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result = float_frame.copy()
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return_value = no_return = result.rename_axis("foo", inplace=True)
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assert return_value is None
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assert no_return is None
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tm.assert_frame_equal(result, expected)
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expected = float_frame.rename_axis("bar", axis=1)
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result = float_frame.copy()
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return_value = no_return = result.rename_axis("bar", axis=1, inplace=True)
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assert return_value is None
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assert no_return is None
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tm.assert_frame_equal(result, expected)
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def test_rename_axis_raises(self):
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# GH#17833
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df = DataFrame({"A": [1, 2], "B": [1, 2]})
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with pytest.raises(ValueError, match="Use `.rename`"):
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df.rename_axis(id, axis=0)
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with pytest.raises(ValueError, match="Use `.rename`"):
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df.rename_axis({0: 10, 1: 20}, axis=0)
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with pytest.raises(ValueError, match="Use `.rename`"):
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df.rename_axis(id, axis=1)
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with pytest.raises(ValueError, match="Use `.rename`"):
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df["A"].rename_axis(id)
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def test_rename_axis_mapper(self):
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# GH#19978
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mi = MultiIndex.from_product([["a", "b", "c"], [1, 2]], names=["ll", "nn"])
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df = DataFrame(
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{"x": list(range(len(mi))), "y": [i * 10 for i in range(len(mi))]}, index=mi
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)
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# Test for rename of the Index object of columns
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result = df.rename_axis("cols", axis=1)
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tm.assert_index_equal(result.columns, Index(["x", "y"], name="cols"))
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# Test for rename of the Index object of columns using dict
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result = result.rename_axis(columns={"cols": "new"}, axis=1)
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tm.assert_index_equal(result.columns, Index(["x", "y"], name="new"))
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# Test for renaming index using dict
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result = df.rename_axis(index={"ll": "foo"})
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assert result.index.names == ["foo", "nn"]
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# Test for renaming index using a function
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result = df.rename_axis(index=str.upper, axis=0)
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assert result.index.names == ["LL", "NN"]
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# Test for renaming index providing complete list
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result = df.rename_axis(index=["foo", "goo"])
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assert result.index.names == ["foo", "goo"]
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# Test for changing index and columns at same time
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sdf = df.reset_index().set_index("nn").drop(columns=["ll", "y"])
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result = sdf.rename_axis(index="foo", columns="meh")
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assert result.index.name == "foo"
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assert result.columns.name == "meh"
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# Test different error cases
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with pytest.raises(TypeError, match="Must pass"):
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df.rename_axis(index="wrong")
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with pytest.raises(ValueError, match="Length of names"):
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df.rename_axis(index=["wrong"])
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with pytest.raises(TypeError, match="bogus"):
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df.rename_axis(bogus=None)
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@pytest.mark.parametrize(
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"kwargs, rename_index, rename_columns",
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[
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({"mapper": None, "axis": 0}, True, False),
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({"mapper": None, "axis": 1}, False, True),
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({"index": None}, True, False),
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({"columns": None}, False, True),
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({"index": None, "columns": None}, True, True),
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({}, False, False),
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],
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)
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def test_rename_axis_none(self, kwargs, rename_index, rename_columns):
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# GH 25034
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index = Index(list("abc"), name="foo")
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columns = Index(["col1", "col2"], name="bar")
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data = np.arange(6).reshape(3, 2)
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df = DataFrame(data, index, columns)
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result = df.rename_axis(**kwargs)
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expected_index = index.rename(None) if rename_index else index
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expected_columns = columns.rename(None) if rename_columns else columns
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expected = DataFrame(data, expected_index, expected_columns)
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tm.assert_frame_equal(result, expected)
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