import numpy as np
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import pandas as pd
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def is_object_or_nan_string_dtype(dtype):
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"""
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Check if string-like dtype is following NaN semantics, i.e. is object
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dtype or a NaN-variant of the StringDtype.
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"""
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return (isinstance(dtype, np.dtype) and dtype == "object") or (
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dtype.na_value is np.nan
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)
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def _convert_na_value(ser, expected):
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if ser.dtype != object:
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if ser.dtype.na_value is np.nan:
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expected = expected.fillna(np.nan)
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else:
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# GH#18463
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expected = expected.fillna(pd.NA)
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return expected
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