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