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68 lines
1.6 KiB
68 lines
1.6 KiB
import numpy as np
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import pytest
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import pandas as pd
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from pandas.core.arrays.integer import (
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Int8Dtype,
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Int16Dtype,
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Int32Dtype,
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Int64Dtype,
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UInt8Dtype,
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UInt16Dtype,
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UInt32Dtype,
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UInt64Dtype,
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)
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def test_dtypes(dtype):
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# smoke tests on auto dtype construction
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if dtype.is_signed_integer:
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assert np.dtype(dtype.type).kind == "i"
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else:
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assert np.dtype(dtype.type).kind == "u"
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assert dtype.name is not None
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@pytest.mark.parametrize(
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"dtype, expected",
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[
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(Int8Dtype(), "Int8Dtype()"),
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(Int16Dtype(), "Int16Dtype()"),
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(Int32Dtype(), "Int32Dtype()"),
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(Int64Dtype(), "Int64Dtype()"),
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(UInt8Dtype(), "UInt8Dtype()"),
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(UInt16Dtype(), "UInt16Dtype()"),
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(UInt32Dtype(), "UInt32Dtype()"),
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(UInt64Dtype(), "UInt64Dtype()"),
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],
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)
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def test_repr_dtype(dtype, expected):
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assert repr(dtype) == expected
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def test_repr_array():
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result = repr(pd.array([1, None, 3]))
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expected = "<IntegerArray>\n[1, <NA>, 3]\nLength: 3, dtype: Int64"
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assert result == expected
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def test_repr_array_long():
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data = pd.array([1, 2, None] * 1000)
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expected = (
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"<IntegerArray>\n"
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"[ 1, 2, <NA>, 1, 2, <NA>, 1, 2, <NA>, 1,\n"
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" ...\n"
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" <NA>, 1, 2, <NA>, 1, 2, <NA>, 1, 2, <NA>]\n"
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"Length: 3000, dtype: Int64"
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)
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result = repr(data)
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assert result == expected
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def test_frame_repr(data_missing):
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df = pd.DataFrame({"A": data_missing})
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result = repr(df)
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expected = " A\n0 <NA>\n1 1"
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assert result == expected
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