hm that's raising for me In [1]: import pandas as pd In [2]: pd.set_option("mode.nan_is_na", False) In [3]: s = pd.Series([-1, 0, None], dtype='Int64[pyarrow]')**.5 In [4]: s Out[4]: 0 NaN 1 0.0 2 <NA> dtype: double[pyarrow] In [5]: import numpy as np In [6]: np.isnan(s) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[6], line 1 ----> 1 np.isnan(s) File ~/scratch/.venv/lib/python3.12/site-packages/pandas/core/generic.py:2051, in NDFrame.__array_ufunc__(self, ufunc, method, *inputs, **kwargs) 2047 @final 2048 def __array_ufunc__( 2049 self, ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any 2050 ): -> 2051 return arraylike.array_ufunc(self, ufunc, method, *inputs, **kwargs) File ~/scratch/.venv/lib/python3.12/site-packages/pandas/core/arraylike.py:399, in array_ufunc(self, ufunc, method, *inputs, **kwargs) 396 elif self.ndim == 1: 397 # ufunc(series, ...) 398 inputs = tuple(extract_array(x, extract_numpy=True) for x in inputs) --> 399 result = getattr(ufunc, method)(*inputs, **kwargs) 400 else: 401 # ufunc(dataframe) 402 if method == "__call__" and not kwargs: 403 # for np.<ufunc>(..) calls 404 # kwargs cannot necessarily be handled block-by-block, so only 405 # take this path if there are no kwargs File ~/scratch/.venv/lib/python3.12/site-packages/pandas/core/arrays/base.py:2539, in ExtensionArray.__array_ufunc__(self, ufunc, method, *inputs, **kwargs) 2536 if result is not NotImplemented: 2537 return result -> 2539 return arraylike.default_array_ufunc(self, ufunc, method, *inputs, **kwargs) File ~/scratch/.venv/lib/python3.12/site-packages/pandas/core/arraylike.py:492, in default_array_ufunc(self, ufunc, method, *inputs, **kwargs) 488 raise NotImplementedError 490 new_inputs = [x if x is not self else np.asarray(x) for x in inputs] --> 492 return getattr(ufunc, method)(*new_inputs, **kwargs) TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''