I was told to post this here, rather than as an issue on Github.
====
I'm looking to serialize data that looks something like this:
```
record<n1> = { "predicted": <tensor with shape n1, m>,
"truth": <tensor with shape n1, m>,
"loss": <double>,
"index": <array with shape n1>}
data = [
pa.array([record<n1>, record<n2>, record<n3>]),
pa.array([<float>, <float>, <float>])
pa.array([<float>, <float>, <float>])
]
batch = pa.RecordBatch.from_arrays(data, ['f0', 'f1', 'f2'])
```
But I'm not sure how to do that, or even if what I'm trying to do is the
right way to do it.
What is the difference between `pa.array` and `pa.list_`? This formulation
is an array of structs, but is the struct of arrays formulation of this
possible? i.e.:
```
data = [
pa.array([ <tensor with shape n1, m>, <tensor with shape n2, m>,
<tensor with shape n3, m>]),
pa.array([ <tensor with shape n1, m>, <tensor with shape n2, m>,
<tensor with shape n3, m>]),
pa.array([<float>, <float>, <float>]),
...
]
```
Which doesn't currently work. It seems that there is a separation between
'1d arraylike' datatypes and 'pythonlike' datatypes (and 'nd arraylike'
datatypes), so I can't have a struct of an array.
-Andrew
