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