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Clarifying comment

See original GitHub issue

You wrote in the code:

# pyarrow only supports 64-bit ints right now, so turn everything into int64's
# This is obviously inefficient across a number of dimensions...
# TODO: PR to pyarrow to support narrower ints

Could you clarify what you mean?

Issue Analytics

State:
Created 6 years ago
Comments:6

Top GitHub Comments

1reaction

wesmcommented, Sep 30, 2017

This works in master now:

In [1]: import pyarrow as pa

In [2]: paste
ints = [1,2,3,4]

In [3]: pa.array(ints, type='int16')
Out[3]: 
<pyarrow.lib.Int16Array object at 0x7f80e284f1d8>
[
  1,
  2,
  3,
  4
]

0reactions

c-nicholscommented, Sep 30, 2017

Awesome! Thanks for taking a look, Wes.

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