86 lines
2 KiB
Python
86 lines
2 KiB
Python
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import numpy as np
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import pytest
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import pandas as pd
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import pandas.util.testing as tm
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from pandas.core.arrays import ExtensionArray
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from pandas.core.dtypes.common import is_extension_array_dtype
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from pandas.core.dtypes import dtypes
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class DummyDtype(dtypes.ExtensionDtype):
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pass
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class DummyArray(ExtensionArray):
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def __init__(self, data):
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self.data = data
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def __array__(self, dtype):
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return self.data
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@property
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def dtype(self):
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return self.data.dtype
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class TestExtensionArrayDtype(object):
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@pytest.mark.parametrize('values', [
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pd.Categorical([]),
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pd.Categorical([]).dtype,
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pd.Series(pd.Categorical([])),
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DummyDtype(),
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DummyArray(np.array([1, 2])),
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])
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def test_is_extension_array_dtype(self, values):
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assert is_extension_array_dtype(values)
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@pytest.mark.parametrize('values', [
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np.array([]),
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pd.Series(np.array([])),
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])
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def test_is_not_extension_array_dtype(self, values):
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assert not is_extension_array_dtype(values)
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def test_astype():
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arr = DummyArray(np.array([1, 2, 3]))
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expected = np.array([1, 2, 3], dtype=object)
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result = arr.astype(object)
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tm.assert_numpy_array_equal(result, expected)
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result = arr.astype('object')
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tm.assert_numpy_array_equal(result, expected)
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def test_astype_no_copy():
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arr = DummyArray(np.array([1, 2, 3], dtype=np.int64))
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result = arr.astype(arr.dtype, copy=False)
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assert arr.data is result
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result = arr.astype(arr.dtype)
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assert arr.data is not result
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@pytest.mark.parametrize('dtype', [
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dtypes.DatetimeTZDtype('ns', 'US/Central'),
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dtypes.PeriodDtype("D"),
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dtypes.IntervalDtype(),
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])
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def test_is_not_extension_array_dtype(dtype):
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assert not isinstance(dtype, dtypes.ExtensionDtype)
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assert not is_extension_array_dtype(dtype)
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@pytest.mark.parametrize('dtype', [
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dtypes.CategoricalDtype(),
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])
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def test_is_extension_array_dtype(dtype):
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assert isinstance(dtype, dtypes.ExtensionDtype)
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assert is_extension_array_dtype(dtype)
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