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75 lines
2.2 KiB
75 lines
2.2 KiB
"""
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Tests for subclasses of NDArrayBackedExtensionArray
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"""
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import numpy as np
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from pandas import (
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CategoricalIndex,
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date_range,
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)
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from pandas.core.arrays import (
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Categorical,
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DatetimeArray,
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PandasArray,
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TimedeltaArray,
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)
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class TestEmpty:
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def test_empty_categorical(self):
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ci = CategoricalIndex(["a", "b", "c"], ordered=True)
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dtype = ci.dtype
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# case with int8 codes
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shape = (4,)
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result = Categorical._empty(shape, dtype=dtype)
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assert isinstance(result, Categorical)
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assert result.shape == shape
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assert result._ndarray.dtype == np.int8
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# case where repr would segfault if we didn't override base implementation
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result = Categorical._empty((4096,), dtype=dtype)
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assert isinstance(result, Categorical)
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assert result.shape == (4096,)
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assert result._ndarray.dtype == np.int8
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repr(result)
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# case with int16 codes
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ci = CategoricalIndex(list(range(512)) * 4, ordered=False)
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dtype = ci.dtype
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result = Categorical._empty(shape, dtype=dtype)
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assert isinstance(result, Categorical)
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assert result.shape == shape
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assert result._ndarray.dtype == np.int16
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def test_empty_dt64tz(self):
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dti = date_range("2016-01-01", periods=2, tz="Asia/Tokyo")
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dtype = dti.dtype
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shape = (0,)
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result = DatetimeArray._empty(shape, dtype=dtype)
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assert result.dtype == dtype
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assert isinstance(result, DatetimeArray)
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assert result.shape == shape
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def test_empty_dt64(self):
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shape = (3, 9)
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result = DatetimeArray._empty(shape, dtype="datetime64[ns]")
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assert isinstance(result, DatetimeArray)
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assert result.shape == shape
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def test_empty_td64(self):
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shape = (3, 9)
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result = TimedeltaArray._empty(shape, dtype="m8[ns]")
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assert isinstance(result, TimedeltaArray)
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assert result.shape == shape
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def test_empty_pandas_array(self):
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arr = PandasArray(np.array([1, 2]))
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dtype = arr.dtype
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shape = (3, 9)
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result = PandasArray._empty(shape, dtype=dtype)
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assert isinstance(result, PandasArray)
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assert result.dtype == dtype
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assert result.shape == shape
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