84 lines
2.9 KiB
Python
84 lines
2.9 KiB
Python
import re
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import numpy as np
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import pytest
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from pandas.core.dtypes.common import pandas_dtype
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from pandas import Float64Index, Index, Int64Index
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import pandas._testing as tm
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class TestAstype:
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def test_astype_float64_to_object(self):
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float_index = Float64Index([0.0, 2.5, 5.0, 7.5, 10.0])
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result = float_index.astype(object)
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assert result.equals(float_index)
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assert float_index.equals(result)
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assert isinstance(result, Index) and not isinstance(result, Float64Index)
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def test_astype_float64_mixed_to_object(self):
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# mixed int-float
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idx = Float64Index([1.5, 2, 3, 4, 5])
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idx.name = "foo"
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result = idx.astype(object)
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assert result.equals(idx)
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assert idx.equals(result)
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assert isinstance(result, Index) and not isinstance(result, Float64Index)
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@pytest.mark.parametrize("dtype", ["int16", "int32", "int64"])
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def test_astype_float64_to_int_dtype(self, dtype):
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# GH#12881
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# a float astype int
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idx = Float64Index([0, 1, 2])
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result = idx.astype(dtype)
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expected = Int64Index([0, 1, 2])
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tm.assert_index_equal(result, expected)
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idx = Float64Index([0, 1.1, 2])
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result = idx.astype(dtype)
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expected = Int64Index([0, 1, 2])
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize("dtype", ["float32", "float64"])
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def test_astype_float64_to_float_dtype(self, dtype):
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# GH#12881
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# a float astype int
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idx = Float64Index([0, 1, 2])
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result = idx.astype(dtype)
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expected = idx
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tm.assert_index_equal(result, expected)
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idx = Float64Index([0, 1.1, 2])
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result = idx.astype(dtype)
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expected = Index(idx.values.astype(dtype))
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize("dtype", ["M8[ns]", "m8[ns]"])
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def test_cannot_cast_to_datetimelike(self, dtype):
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idx = Float64Index([0, 1.1, 2])
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msg = (
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f"Cannot convert Float64Index to dtype {pandas_dtype(dtype)}; "
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f"integer values are required for conversion"
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)
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with pytest.raises(TypeError, match=re.escape(msg)):
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idx.astype(dtype)
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@pytest.mark.parametrize("dtype", [int, "int16", "int32", "int64"])
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@pytest.mark.parametrize("non_finite", [np.inf, np.nan])
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def test_cannot_cast_inf_to_int(self, non_finite, dtype):
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# GH#13149
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idx = Float64Index([1, 2, non_finite])
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msg = r"Cannot convert non-finite values \(NA or inf\) to integer"
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with pytest.raises(ValueError, match=msg):
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idx.astype(dtype)
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def test_astype_from_object(self):
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index = Index([1.0, np.nan, 0.2], dtype="object")
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result = index.astype(float)
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expected = Float64Index([1.0, np.nan, 0.2])
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assert result.dtype == expected.dtype
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tm.assert_index_equal(result, expected)
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