41 lines
1.3 KiB
Python
41 lines
1.3 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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from pandas.core.interchange.utils import dtype_to_arrow_c_fmt
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# TODO: use ArrowSchema to get reference C-string.
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# At the time, there is no way to access ArrowSchema holding a type format string
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# from python. The only way to access it is to export the structure to a C-pointer,
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# see DataType._export_to_c() method defined in
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# https://github.com/apache/arrow/blob/master/python/pyarrow/types.pxi
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@pytest.mark.parametrize(
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"pandas_dtype, c_string",
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[
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(np.dtype("bool"), "b"),
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(np.dtype("int8"), "c"),
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(np.dtype("uint8"), "C"),
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(np.dtype("int16"), "s"),
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(np.dtype("uint16"), "S"),
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(np.dtype("int32"), "i"),
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(np.dtype("uint32"), "I"),
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(np.dtype("int64"), "l"),
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(np.dtype("uint64"), "L"),
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(np.dtype("float16"), "e"),
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(np.dtype("float32"), "f"),
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(np.dtype("float64"), "g"),
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(pd.Series(["a"]).dtype, "u"),
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(
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pd.Series([0]).astype("datetime64[ns]").dtype,
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"tsn:",
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),
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(pd.CategoricalDtype(["a"]), "l"),
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(np.dtype("O"), "u"),
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],
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)
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def test_dtype_to_arrow_c_fmt(pandas_dtype, c_string): # PR01
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"""Test ``dtype_to_arrow_c_fmt`` utility function."""
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assert dtype_to_arrow_c_fmt(pandas_dtype) == c_string
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