[
https://issues.apache.org/jira/browse/ARROW-2033?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16343246#comment-16343246
]
ASF GitHub Bot commented on ARROW-2033:
---------------------------------------
pitrou commented on issue #1513: ARROW-2033: [Python] Fix pa.array() with
iterator input
URL: https://github.com/apache/arrow/pull/1513#issuecomment-361217636
There are (probably unrelated) build errors against the thrift header files:
```
In file included from src/parquet/column_reader.cc:34:0:
src/parquet/thrift.h: In function ‘void parquet::DeserializeThriftMsg(const
uint8_t*, uint32_t*, T*)’:
src/parquet/thrift.h:103:48: error: no matching function for call to
‘apache::thrift::protocol::TCompactProtocolFactoryT<apache::thrift::transport::TMemoryBuffer>::getProtocol(std::shared_ptr<apache::thrift::transport::TMemoryBuffer>&)’
tproto_factory.getProtocol(tmem_transport);
^
src/parquet/thrift.h:103:48: note: candidate is:
In file included from src/parquet/thrift.h:28:0,
from src/parquet/column_reader.cc:34:
/usr/include/thrift/protocol/TCompactProtocol.h:242:32: note:
boost::shared_ptr<apache::thrift::protocol::TProtocol>
apache::thrift::protocol::TCompactProtocolFactoryT<Transport_>::getProtocol(boost::shared_ptr<apache::thrift::transport::TTransport>)
[with Transport_ = apache::thrift::transport::TMemoryBuffer]
boost::shared_ptr<TProtocol> getProtocol(boost::shared_ptr<TTransport>
trans) {
^
```
How should I go about those?
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> pa.array() doesn't work with iterators
> --------------------------------------
>
> Key: ARROW-2033
> URL: https://issues.apache.org/jira/browse/ARROW-2033
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.8.0
> Reporter: Antoine Pitrou
> Assignee: Antoine Pitrou
> Priority: Minor
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> pa.array handles iterables fine, but not iterators if size isn't passed:
> {code:java}
> >>> arr = pa.array(range(5))
> >>> arr
> <pyarrow.lib.Int64Array object at 0x7f4652a05318>
> [
> 0,
> 1,
> 2,
> 3,
> 4
> ]
> >>> arr = pa.array(iter(range(5)))
> >>> arr
> <pyarrow.lib.NullArray object at 0x7f4633c1d638>
> [
> NA,
> NA,
> NA,
> NA,
> NA
> ]
> {code}
> This is because InferArrowSize() first exhausts the iterator.
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