jorisvandenbossche commented on code in PR #34184:
URL: https://github.com/apache/arrow/pull/34184#discussion_r1122969200
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python/pyarrow/array.pxi:
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@@ -1253,6 +1253,16 @@ cdef class Array(_PandasConvertible):
options = _pc().NullOptions(nan_is_null=nan_is_null)
return _pc().call_function('is_null', [self], options)
+ def is_nan(self):
+ """
+ Return BooleanArray indicating the nan values.
+
+ Returns
+ -------
+ array : boolean Array, where null values are None
Review Comment:
Ah, OK, I didn't get that at first. Now, I don't think that is something we
need to mention here in this docstring (that's true for _all_ functions that
return arrow data). And it's also only when converting to native Python objects
that this happens, the actual result here is a pyarrow.array, and that doesn't
use None (so the explanation would be relevant for a method like
`Array.to_pylist()`.
The reason you see it in the tests, is because we allow you to use None to
specify a null value when constructing an array (but the None gets converted to
a proper "null").
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