[
https://issues.apache.org/jira/browse/ARROW-2145?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16366370#comment-16366370
]
ASF GitHub Bot commented on ARROW-2145:
---------------------------------------
cpcloud commented on a change in pull request #1610: ARROW-2145/ARROW-2157:
[Python] Decimal conversion not working for NaN values
URL: https://github.com/apache/arrow/pull/1610#discussion_r168633403
##########
File path: cpp/src/arrow/python/helpers.cc
##########
@@ -193,6 +195,32 @@ Status UInt64FromPythonInt(PyObject* obj, uint64_t* out) {
return Status::OK();
}
+bool PyFloat_isnan(const PyObject* obj) {
+ return PyFloat_Check(obj) && std::isnan(PyFloat_AS_DOUBLE(obj));
+}
+
+bool PyDecimal_Check(const PyObject* obj) {
+ // TODO(phillipc): Is this expensive? Can we make it a global?
+ OwnedRef Decimal;
+ {
+ OwnedRef decimal;
Review comment:
@wesm @pitrou is there any reason we shouldn't make these `static` global
variables, so we don't have to call these APIs all over the place and inside of
loops?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
> [Python] Decimal conversion not working for NaN values
> ------------------------------------------------------
>
> Key: ARROW-2145
> URL: https://issues.apache.org/jira/browse/ARROW-2145
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Affects Versions: 0.8.0
> Reporter: Antony Mayi
> Assignee: Phillip Cloud
> Priority: Major
> Labels: pull-request-available
>
> {code:python}
> import pyarrow as pa
> import pandas as pd
> import decimal
> pa.Table.from_pandas(pd.DataFrame({'a': [decimal.Decimal('1.1'),
> decimal.Decimal('NaN')]}))
> {code}
> throws following exception:
> {code}
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "pyarrow/table.pxi", line 875, in pyarrow.lib.Table.from_pandas
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:44927)
> File "/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 350, in
> dataframe_to_arrays
> convert_types)]
> File "/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 349, in
> <listcomp>
> for c, t in zip(columns_to_convert,
> File "/lib/python3.6/site-packages/pyarrow/pandas_compat.py", line 345, in
> convert_column
> return pa.array(col, from_pandas=True, type=ty)
> File "pyarrow/array.pxi", line 170, in pyarrow.lib.array
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:29224)
> File "pyarrow/array.pxi", line 70, in pyarrow.lib._ndarray_to_array
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:28465)
> File "pyarrow/error.pxi", line 98, in pyarrow.lib.check_status
> (/arrow/python/build/temp.linux-x86_64-3.6/lib.cxx:9068)
> pyarrow.lib.ArrowException: Unknown error: an integer is required (got type
> str)
> {code}
> Same problem with other special decimal values like {{infinity}}.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
