amol- commented on a change in pull request #10101:
URL: https://github.com/apache/arrow/pull/10101#discussion_r616000507
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File path: python/pyarrow/array.pxi
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@@ -1170,7 +1170,9 @@ cdef class Array(_PandasConvertible):
array = PyObject_to_object(out)
if isinstance(array, dict):
+ missings = array["indices"] < 0
array = np.take(array['dictionary'], array['indices'])
+ array[missings] = np.NaN
Review comment:
I thought about adding a `if missings.any():` here, but it didn't change
performances at all, so not much benefit.
```
def withoutcheck():
arr[mask] = np.NaN
def withcheck():
if mask.any():
arr[mask] = np.NaN
>>> timeit.timeit(withoutcheck, number=10000)
5.555068847000001
>>> timeit.timeit(withcheck, number=10000)
5.6257486310000075
```
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