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