import numpy as np
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import pytest
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import pandas as pd
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import pandas._testing as tm
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def test_astype(using_infer_string):
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# with missing values
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arr = pd.array([True, False, None], dtype="boolean")
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with pytest.raises(ValueError, match="cannot convert NA to integer"):
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arr.astype("int64")
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with pytest.raises(ValueError, match="cannot convert float NaN to"):
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arr.astype("bool")
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result = arr.astype("float64")
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expected = np.array([1, 0, np.nan], dtype="float64")
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tm.assert_numpy_array_equal(result, expected)
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result = arr.astype("str")
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if using_infer_string:
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expected = pd.array(
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["True", "False", None], dtype=pd.StringDtype(na_value=np.nan)
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)
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tm.assert_extension_array_equal(result, expected)
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else:
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expected = np.array(["True", "False", "<NA>"], dtype=f"{tm.ENDIAN}U5")
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tm.assert_numpy_array_equal(result, expected)
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# no missing values
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arr = pd.array([True, False, True], dtype="boolean")
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result = arr.astype("int64")
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expected = np.array([1, 0, 1], dtype="int64")
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tm.assert_numpy_array_equal(result, expected)
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result = arr.astype("bool")
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expected = np.array([True, False, True], dtype="bool")
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tm.assert_numpy_array_equal(result, expected)
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def test_astype_to_boolean_array():
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# astype to BooleanArray
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arr = pd.array([True, False, None], dtype="boolean")
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result = arr.astype("boolean")
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tm.assert_extension_array_equal(result, arr)
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result = arr.astype(pd.BooleanDtype())
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tm.assert_extension_array_equal(result, arr)
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def test_astype_to_integer_array():
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# astype to IntegerArray
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arr = pd.array([True, False, None], dtype="boolean")
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result = arr.astype("Int64")
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expected = pd.array([1, 0, None], dtype="Int64")
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tm.assert_extension_array_equal(result, expected)
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