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https://issues.apache.org/jira/browse/ARROW-5907?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16882942#comment-16882942
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Joris Van den Bossche commented on ARROW-5907:
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(updated the issue with the example from SO)
For this, I think we would need to implement the buffer protocol, as was done
for Tensors (ARROW-2276 / https://github.com/apache/arrow/pull/1741). However,
Arrays are not necessarily exactly fitting the buffer protocol (additional
buffer for the nulls, can be nested, ..) unlike the Tensors. So not sure that
should be done? Or only for primitive arrays without null, how zero-copy
conversion to numpy is limited to those cases.
That last part is actually a work-around, you can convert the pyarrow Array to
a numpy array without copying data with {{a.to_numpy()}} (it's a view, if it
needs to copy it will raise an error), and then pass that to the function that
needs a bytes-like object.
> base64 support of bytes-like
> ----------------------------
>
> Key: ARROW-5907
> URL: https://issues.apache.org/jira/browse/ARROW-5907
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Affects Versions: 0.14.0
> Reporter: Litchy
> Priority: Major
> Fix For: 0.14.0
>
>
> Currently pyarrow could not be encoded by base64:
> {code}
> t = numpy.arange(25, dtype=np.float64)
> a = pyarrow.array(t)
> s1 = base64.b64encode(t) # this works
> s2 = base64.b64encode(a)
> {code}
> gives "a bytes-like object is required not 'pyarrow.lib.DoubleArray'"
> Because it is not bytes-like
> A possible scenario could be if we want to push data(like ndarray) to Redis
> in Python and get it from other language like Java. Arrow could be used to
> interact between Python and Java using Array of Arrow.
> Adding this feature would support some in-queue and out-queue operations like
> Redis
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