import pytest
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import pandas._testing as tm
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class TestDataFrameTake:
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def test_take(self, float_frame):
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# homogeneous
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order = [3, 1, 2, 0]
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for df in [float_frame]:
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result = df.take(order, axis=0)
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expected = df.reindex(df.index.take(order))
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tm.assert_frame_equal(result, expected)
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# axis = 1
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result = df.take(order, axis=1)
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expected = df.loc[:, ["D", "B", "C", "A"]]
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tm.assert_frame_equal(result, expected, check_names=False)
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# negative indices
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order = [2, 1, -1]
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for df in [float_frame]:
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result = df.take(order, axis=0)
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expected = df.reindex(df.index.take(order))
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tm.assert_frame_equal(result, expected)
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result = df.take(order, axis=0)
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tm.assert_frame_equal(result, expected)
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# axis = 1
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result = df.take(order, axis=1)
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expected = df.loc[:, ["C", "B", "D"]]
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tm.assert_frame_equal(result, expected, check_names=False)
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# illegal indices
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msg = "indices are out-of-bounds"
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with pytest.raises(IndexError, match=msg):
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df.take([3, 1, 2, 30], axis=0)
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with pytest.raises(IndexError, match=msg):
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df.take([3, 1, 2, -31], axis=0)
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with pytest.raises(IndexError, match=msg):
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df.take([3, 1, 2, 5], axis=1)
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with pytest.raises(IndexError, match=msg):
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df.take([3, 1, 2, -5], axis=1)
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def test_take_mixed_type(self, float_string_frame):
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# mixed-dtype
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order = [4, 1, 2, 0, 3]
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for df in [float_string_frame]:
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result = df.take(order, axis=0)
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expected = df.reindex(df.index.take(order))
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tm.assert_frame_equal(result, expected)
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# axis = 1
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result = df.take(order, axis=1)
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expected = df.loc[:, ["foo", "B", "C", "A", "D"]]
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tm.assert_frame_equal(result, expected)
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# negative indices
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order = [4, 1, -2]
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for df in [float_string_frame]:
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result = df.take(order, axis=0)
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expected = df.reindex(df.index.take(order))
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tm.assert_frame_equal(result, expected)
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# axis = 1
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result = df.take(order, axis=1)
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expected = df.loc[:, ["foo", "B", "D"]]
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tm.assert_frame_equal(result, expected)
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def test_take_mixed_numeric(self, mixed_float_frame, mixed_int_frame):
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# by dtype
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order = [1, 2, 0, 3]
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for df in [mixed_float_frame, mixed_int_frame]:
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result = df.take(order, axis=0)
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expected = df.reindex(df.index.take(order))
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tm.assert_frame_equal(result, expected)
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# axis = 1
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result = df.take(order, axis=1)
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expected = df.loc[:, ["B", "C", "A", "D"]]
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tm.assert_frame_equal(result, expected)
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